Purpose

Public procurement plays a central role in public governance by structuring market access, organizing administrative discretion and supporting accountability through procedural rules. Despite the growing adoption of digital procurement platforms, empirical evidence remains limited on how digital reforms are associated with competitive dynamics and institutional authority beyond technical efficiency gains. This study aims to examine how procedural design within a mandatory digital procurement system relates to contracting outcomes.

Design/methodology/approach

The study analyzes comprehensive administrative microdata on all procurement procedures conducted in 2024 on the Italian Mercato Elettronico della Pubblica Amministrazione, managed by CONSIP S.p.A. This period corresponds to the first full year of implementation of the new Italian Procurement Code (Legislative Decree No. 36 / 2023). Using multivariate count-data models and instrumental-variable estimations, the analysis compares competitive, rule-based Request for Offer with discretionary direct negotiations and examines how supplier participation interacts with procedural design.

Findings

The results indicate that competitive digital procurement procedures are associated with a higher number of contracts awarded. Moreover, the association between supplier participation and contracting outcomes is stronger under competitive procedures, while participation alone is less strongly associated with outcomes under discretionary formats. Overall, the findings suggest that contracting patterns differ systematically across procedural formats, particularly when competition is embedded within standardized procedural rules.

Research limitations/implications

The analysis is restricted to a single year and relies on cross-sectional data, which limits the ability to examine dynamic changes over time or establish causal relationships.

Social implications

The findings suggest that policymakers should complement digital procurement reforms with investments in administrative capacity, standardized procedures and oversight to better support governance outcomes.

Originality/value

This study contributes to the public procurement literature by providing large-scale empirical evidence on how procedural design within digital procurement platforms is associated with differences in contracting outcomes and administrative organization. By focusing on institutional rules rather than price efficiency alone, it highlights digital procurement as a governance framework associated with the organization of discretion and market access.

Public procurement is a key instrument of governance, representing a significant share of national expenditure and shaping how governments allocate resources, enhance efficiency and create public value. In OECD countries, public procurement typically accounts for 12% to 20% of GDP, whereas in Italy it approaches one-quarter of total public spending (Caserta et al., 2025; OECD, 2025). Since procurement decisions directly influence the delivery of infrastructure, healthcare and social services, ensuring efficiency and integrity has become a central concern in public administration research (Patrucco et al., 2016; Chiappinelli, 2020; Bosio et al., 2022). In this context, efficiency extends beyond cost savings to include timeliness, quality, and institutions’ ability to manage contracts transparently and competitively (Decarolis, 2014; Flynn, 2018; Edquist and Zabala-Iturriagagoitia, 2020; Melnikov, 2022).

Recent studies emphasize that efficiency in public procurement depends on a careful balance among competition, institutional quality, and administrative capacity. In Italy, fragmented governance and uneven bureaucratic competence continue to impede performance, exacerbating regional disparities and diminishing the effectiveness of competitive mechanisms (Coviello et al., 2018a, 2018b; Chiappinelli, 2020; Melnikov, 2022). Caserta et al. (2025) show that institutional quality plays a crucial mediating role in the relationship between procurement characteristics, such as contract size and the expertise of contracting authorities and efficiency outcomes. Generally, larger and more experienced authorities operate more efficiently, whereas smaller authorities often face capacity constraints, leading to increased delays and cost overruns. These findings align with longstanding debates in the public administration literature on striking an optimal balance among centralization, professionalism, and accountability in managing public spending.

Over the past two decades, procurement systems have undergone significant digital transformation. E-procurement platforms have transformed how governments interact with markets by introducing standardization, traceability and transparency in public procurement (Özbilgin and Imamoğlu, 2011; Albano et al., 2015). Electronic marketplaces and dynamic purchasing systems have reduced barriers to entry, fostered competition and enabled ongoing supplier participation. As a result, digital tools are now viewed as catalysts for efficiency and inclusiveness, particularly benefiting small- and medium-sized enterprises (SMEs) (Tammi et al., 2020). Additionally, the shift toward digitalization signifies broader governance reform, embedding transparency, auditability and procedural accountability within the state’s institutional framework (Uyarra et al., 2020; Decarolis et al., 2025).

In Italy, CONSIP S.p.A., the governmental purchasing body, has played a crucial role in modernizing public procurement through the Mercato Elettronico della Pubblica Amministrazione (MePa). The MePa serves as a unified marketplace, enabling public administrations to procure goods and services through standardized electronic procedures. The recent Legislative Decree No. 36 / 2023 (New Public Procurement Code) marks a significant advancement in this process by mandating the use of the national e-procurement portal, MePa, for most public purchases. This requirement establishes digitalization as a legal obligation. The reform aims to standardize procedures, enhance transparency and promote efficiency through interoperability and real-time traceability. By reducing discretion and ensuring open competition, the new code aligns the Italian procurement framework with European standards for digital governance and public integrity.

Although recent advances have been made, significant challenges remain, including institutional inefficiencies and corruption. Recent research shows that governance weaknesses, collusive behavior and organized crime consistently distort competition and undermine procurement outcomes (Adinolfi et al., 2011; Fazekas and Kocsis, 2020; Gnaldi and Del Sarto, 2024; Fontana and D’Agostino, 2024; Millemaci and Patti, 2025). Fontana and D’Agostino (2024) reveal that local administrations in areas affected by mafia activity deliberately manipulate contract values to circumvent anti-mafia screening. This illustrates how institutional fragility allows corruption to thrive even within regulated systems. These findings support the argument that technological tools alone cannot ensure efficiency or integrity; they must be integrated into robust institutional frameworks capable of enforcement and oversight at both the local and national levels. Consequently, procurement is viewed not merely as a technical or economic process but as a governance domain in which institutional design, legal reliability, transparency, and ethical safeguards collectively shape performance.

Despite the growing body of research on auction design, institutional quality and digital governance, empirical evidence remains fragmented and inconsistent regarding how e-procurement functions and promotes competition (Decarolis, 2014; Coviello et al., 2018a, 2018b), administrative capacity (Chiappinelli, 2020; Caserta et al., 2025) and the fairness of administrative procedures related to negotiations between economic entities (Özbilgin and İmamoğlu, 2011; Albano et al., 2015).

Limited research has examined how competitive dynamics develop in digital procurement ecosystems, particularly in areas with administrative fragmentation and varying levels of institutional quality. This paper aims to fill that gap by providing the first large-scale empirical analysis of the Italian digital public procurement system, using unique administrative microdata from CONSIP.

The data set of the present study comprises all purchasing procurement procedures (hereafter “procedures”) conducted by public administrations (P.A.) on the MePa in 2024, the first full year following the implementation of the Italian Law Decree No. 36 / 2023. In this study, the term “procedure” refers to a single tendering event conducted on the MePa platform, which constitutes the unit of analysis and may result in one or more contracts. By leveraging this undisclosed data, the study investigates how the design of procurement procedures, the comparison between the competitive “Request for Offer” (RdO) (Richiesta di Offerta) and the non-competitive “Direct Negotiation” (Trattativa Diretta), and supplier participation are related to procurement performance across the Italian PAs.

This study contributes to the literature in three main ways. First, rather than examining competition as a standalone factor, it conceptualizes procurement procedures as institutional mechanisms that structure how competition operates within digital platforms. In doing so, it shifts the focus from the level of competition to its procedural organization.

Second, the analysis provides novel evidence on how procedural design and supplier participation jointly relate to contracting outcomes at the level of individual procurement procedures. By focusing on contract allocation within procedures, the study moves beyond traditional measures such as prices or participation rates. It highlights how procurement rules shape the distribution of contracts across suppliers.

Third, the paper contributes empirically by exploiting administrative microdata from the Italian MePa platform for the first full year of the implementation of the Law Decree No. 36/2023. This setting enables the examination of procurement behavior in a fully digital, standardized environment, offering insights into how procedural rules operate in practice within contemporary e-procurement systems.

The empirical analysis yields three main insights. First, competitive procedures, such as the RdO, are associated with a higher number of contracts defined within each procurement procedure than noncompetitive procedures. Second, higher supplier participation is positively associated with contracting outcomes at the procedure level. Third, the association between supplier participation and contracting outcomes is stronger under RdO. Hence, these results suggest that digital procurement is most closely linked to broader contract allocation when competition is embedded in standardized procedural frameworks (Caserta et al., 2025; Özbilgin and Imamoğlu, 2011).

These empirical results have significant policy implications. The mandatory implementation of MePa under Law Decree No. 36 / 2023 offers an opportunity to improve transparency and accountability. However, its success depends on strengthening administrative capacity and ensuring consistent digital maturity across public authorities. It is essential to enhance training, standardization, and monitoring to translate digital reforms into measurable efficiency gains (Di Vita et al., 2025). At the same time, the results should be interpreted with caution. While digitalization can promote openness, it cannot, by itself, prevent collusion or strategic behavior without robust institutional safeguards (Gnaldi and Del Sarto, 2024; Fontana and D’Agostino, 2024).

This study has several limitations. It relies on cross-sectional data from a single year, limiting our ability to observe dynamic effects or learning processes over time. Additionally, unobserved variation in administrative capacity or technology adoption may influence procurement outcomes. To address these issues, future research should consider longitudinal designs and comparative analyses to evaluate how digital procurement interacts with broader governance and sustainability objectives (Uyarra et al., 2020).

The remainder of the paper is organized as follows: Section 2 reviews the literature; Section 3 outlines the data and methodology used; Section 4 presents the results and robustness checks; Section 5 discusses the main findings, while Section 6 concludes and discusses practical implications.

Public procurement is a core function of government and accounts for a substantial share of economic activity (Chiappinelli, 2020). The efficiency of procurement systems depends on several interrelated factors, including the intensity of competition, the design of purchasing procedures, and the integrity of the institutional environment in which contracts are awarded and enforced. In this respect, the economic theory of auctions provides a foundational framework for understanding how competition can enhance efficiency. Classical models suggest that competitive bidding reduces procurement costs by aligning suppliers’ incentives with cost efficiency (Albano et al., 2015; Decarolis, 2018). However, the relationship between competition and efficiency is not straightforward. Early theoretical and experimental studies show that, although first-price auctions can stimulate aggressive bidding, they may also generate adverse selection and moral hazard, ultimately undermining contractual performance after the award stage (Decarolis and Giorgiantonio, 2015).

Evidence from Italy confirms this tension. Decarolis (2014) shows that first-price auctions may produce lower bids but weaker contractual performance, while Coviello et al. (2018a, 2018b) demonstrate that poor judicial enforcement and broader institutional inefficiencies can distort contractors’ incentives and reduce the expected gains from competition. These findings suggest that procurement efficiency depends not only on the existence of competition but also on the institutional conditions under which competition is organized and enforced. When bidders face uncertainty regarding enforcement mechanisms or when contracting authorities lack adequate monitoring capacity, the benefits of competition may be significantly weakened. Under such conditions, procurement processes may become more vulnerable to opportunistic behavior, cost overruns and declines in quality (Coviello et al., 2018a, 2018b).

Although auction theory explains an important dimension of procurement performance, particularly the incentive effects of bidding, it does not fully account for why procedural design matters for administrative discretion, market openness, and the governance of relationships between public administrations and supplier markets. To address this broader dimension, this study also draws on resource dependence theory (RDT). From an RDT perspective, organizations depend on external actors for critical resources and therefore seek institutional arrangements that reduce uncertainty, manage vulnerability, and stabilize access to essential inputs. In public procurement, contracting authorities rely on supplier markets for goods, services, and implementation capacity, while suppliers rely on public administrations as a channel to access public demand. Procurement procedures should therefore be understood not merely as technical transaction mechanisms but as governance arrangements through which public organizations manage dependence on external providers. Competitive and standardized procedures such as RdO can thus be seen as institutional tools that reduce reliance on limited or bilateral supplier ties, expand access to external resources, and control competition through clear, rule-based interactions. From this view, procedural design is important not only because it influences bidding incentives but also because it shapes how public administrations manage market access and distribute contractual opportunities.

A supplementary perspective is presented by the resource-based view (RBV), which shifts the emphasis from interorganizational dependence to an organization’s internal capabilities. Even when procedures are formally competitive and digitally standardized, their effectiveness depends on whether public administrations have the capacity to implement and monitor them. In the context of public procurement, these capabilities include legal expertise, digital skills, monitoring ability and the capacity to coordinate procurement activities across different organizational units. This perspective is especially important in digital procurement environments, where electronic platforms do not eliminate the need for administrative competence; instead, they underscore the importance of organizational capabilities within public administrations. Therefore, reforms in digital procurement should not be assumed to improve outcomes automatically. Their success is more likely where contracting authorities have the organizational resources to translate procedural formalization into effective contractual governance.

These theoretical frameworks are complementary rather than competing. Auction theory helps explain how procurement procedures are associated with bidding incentives and competitive behavior. RDT highlights how these procedures relate to interactions between public administrations and supplier markets in managing external dependencies, while the RBV emphasizes the role of internal administrative capabilities in the implementation and management of such procedures. Collectively, these approaches suggest that procurement outcomes are associated with the interaction of incentive structures, governance arrangements, and organizational capacity rather than a single mechanism. This integrated framework informs the empirical expectations developed below, particularly regarding how procedural design and supplier participation are jointly associated with contracting outcomes.

In addition, empirical research consistently indicates that competition intensity is associated with procurement efficiency, although the strength of this relationship varies across market conditions and institutional settings. Studies across Europe show that more competitive processes, reflected in greater bidder participation and more transparent award criteria, are generally associated with lower procurement costs and more favorable value outcomes (Flynn, 2018).

Conversely, in Italy, where administrative fragmentation and local discretion have historically hindered efficiency, several studies suggest that what truly matters is not merely the existence of competition but how it is organized and governed (Decarolis and Giorgiantonio, 2015). Chiappinelli (2020), analyzing data from European Union (EU) award notices, finds that decentralization is associated with lower bid rebates and greater efficiency losses, especially when procurement officials lack the necessary skills or mechanisms to manage competitive procedures effectively. This aligns with a broader body of literature emphasizing administrative capacity and professionalization as vital to procurement efficiency (Patrucco et al., 2016).

Recent studies also show that the relationship between procedural openness and procurement performance is not unidirectional. Using Italian public works data, Coviello et al. (2018a, 2018b) find that greater buyer discretion increases the likelihood of repeated wins by the same firm, without necessarily worsening the procurement outcomes they observe. Their findings suggest that discretion may generate accountability concerns but may also allow public buyers to rely on reputational and relational mechanisms when contracts are incomplete. This insight complements Bajari et al. (2009), who argue that auctions may perform poorly when projects are complex, design is incomplete and ex post adaptation is important, because competitive bidding can restrict communication and reduce the ability to incorporate contractor expertise into project design. Together, these contributions indicate that procurement procedures should be understood not only as mechanisms for price competition but also as institutional arrangements that govern flexibility, discretion and ex post coordination.

Furthermore, the nature of recurring procurement contracts indicates that sustaining competition over time is equally important. Gnaldi and Del Sarto (2024) note that recurring contracting can create “incumbency advantages” that may weaken effective competition in the long run. This evidence supports the idea that procurement efficiency depends not only on price competition but also on institutional mechanisms that promote market transparency, openness and contestability over time.

While prior studies (Decarolis and Giorgiantonio, 2015; Coviello et al., 2018a, 2018b; Chiappinelli, 2020) emphasize transaction frictions and administrative discretion as key mechanisms shaping procurement outcomes, these dimensions are not directly observable in the available data. Accordingly, this study focuses on contracting outcomes measured as the number of contracts defined within each procedure, which captures how procurement processes allocate demand across suppliers. Hence, the first hypothesis is formulated as follows:

H1.

Competitive procurement procedures are associated with a higher number of contracts defined within each procedure, reflecting differences in contract allocation across procedural formats.

Institutional quality is widely recognized as a crucial factor shaping procurement outcomes. Key elements, including legal enforcement, administrative capacity and anti-corruption measures, strongly influence the extent to which procurement systems translate competition into efficiency. Coviello et al. (2018a, 2018b) provide strong evidence that judicial inefficiencies delay contract enforcement and weaken buyers’ ability to enforce contracts.

Likewise, Decarolis (2014) showed that while screening mechanisms can raise administrative costs, they effectively filter out opportunistic bidders, thereby reducing the risk of performance failures. Collectively, these studies reinforce arguments in institutional economics, suggesting that governance quality is essential in mediating the relationship between competition and efficiency (Flynn, 2018; Chiappinelli, 2020).

Research on governance highlights the negative effects of corruption and political connections on procurement efficiency. Wang et al. (2025) found that firms with political ties often exploit procurement relationships to gain unfair advantages, thereby reducing allocative efficiency. Similar studies of Italy’s public sector have confirmed these issues, showing how political interference and a lack of transparency in contracting can hinder competition and increase costs (Sargiacomo et al., 2015; Gnaldi and Del Sarto, 2024). Ongoing rent-seeking behavior and organized crime in procurement, particularly within local administrations, underscore the urgent need for digital transparency and integrity mechanisms (Fontana and D’Agostino, 2024).

Recent institutional reforms have aimed to address these weaknesses. The Italian New Procurement Code represents a significant overhaul of the procurement framework, intended to harmonize procedures, enhance transparency, and reduce administrative fragmentation. However, empirical evaluations of its effectiveness have yielded mixed results (Decarolis and Giorgiantonio, 2015). Comparative studies across European countries indicate that, despite these reforms, Italy continues to underperform in procurement efficiency (Flynn, 2018), suggesting the persistence of institutional constraints in decentralized governance contexts.

The debate between centralization and decentralization remains central to the literature on procurement efficiency. On one hand, centralization can leverage economies of scale, standardize procedures and reduce transaction costs. On the other hand, decentralization enables responsiveness to local needs and can foster innovation (Chiappinelli, 2020; Patrucco et al., 2016). Empirical evidence from Italy indicates that efficiency gains from centralization depend on bureaucratic competence and institutional capacity. Decarolis and Giorgiantonio (2015) found that municipalities and utilities, which handle large shares of procurement but often lack specialized expertise, tend to achieve lower cost savings than regional or central authorities.

As a result, professionalization and capacity-building have become focal points for improving procurement performance. Patrucco et al. (2016) found that public procurement performance measurement systems enhance efficiency when they incorporate innovation, sustainability and compliance metrics alongside traditional cost indicators. This multidimensional approach aligns with the European shift toward value-based procurement (Flynn, 2018). However, the effectiveness of such reforms depends critically on human capital and organizational learning: procurement functions recognized as strategic within public institutions are more likely to develop mature management systems that support efficiency and accountability.

This perspective also aligns with the literature on centralized procurement strategies. Albano and Sparro (2010) argue that centralization can lower transaction costs through specialization, information sharing, ICT investments and demand aggregation. However, they also emphasize that procurement performance should not be judged solely by immediate price savings. Centralized and standardized procurement systems can also influence market structure, competition and broader policy goals. In this context, platforms such as MePa are not just technological tools but institutional mechanisms that coordinate purchasing behavior and shape how competition is organized.

While the literature often interprets supplier participation as an indicator of market openness and accessibility, the data used in this study capture participation at the level of individual procurement procedures rather than access to the procurement market as a whole. Accordingly, the analysis focuses on how variation in the number of participating suppliers within procedures is associated with differences in contracting outcomes, without directly observing broader market access. In this sense, supplier participation is interpreted as a procedural-level characteristic of competition rather than a direct measure of system-wide openness.

Moreover, part of this relationship may reflect the structural features of procurement processes, as procedures involving more participating suppliers are inherently more likely to yield multiple contractual outcomes. Thus, the second hypothesis is formulated as follows:

H2.

A higher number of participating suppliers within a procurement procedure is associated with a greater number of contracts defined, reflecting differences in contract allocation within procedures.

Digital transformation has become a central driver of change in public procurement, reshaping how public administrations engage with markets and regulate access to public demand. Early empirical evidence from the Italian electronic marketplace shows that digital platforms reduce transaction costs, lower entry barriers and increase supplier participation, particularly among SMEs, while preserving some structural features of traditional markets, such as geographic proximity effects (Albano et al., 2015).

Beyond efficiency gains, the literature highlights the broader governance implications of e-procurement. Digital systems generate traceable and auditable records that can reduce corruption risks and strengthen integrity in public contracting (Tammi et al., 2020). They also enable data-driven approaches to sustainability and responsibility, supporting public value beyond cost minimization (Chiarini et al., 2017).

In addition, evidence on e-procurement outcomes further suggests that the effects of digitalization may emerge through participation and contractor selection rather than through prices alone. Lewis-Faupel et al. (2016) studying public works in India and Indonesia, find no systematic reduction in government payments, but show that e-procurement broadens the distribution of winners and improves quality-related outcomes. Their results suggest that e-procurement can facilitate entry by better contractors and widen access beyond local incumbents. Similarly, comparative evidence from Türkiye shows that the type of tender procedure is strongly associated with competition and contract prices: open tenders are associated with greater competition, whereas negotiated procedures are associated with higher prices and lower competitive intensity (Özyürek and Erdal, 2025). These studies reinforce the view that procedural rules and digital infrastructures jointly shape procurement outcomes by influencing who participates, under what conditions and to what extent transparency is achieved.

However, existing research consistently emphasizes that technological adoption alone is insufficient to deliver these benefits. The effectiveness of digital procurement reforms depends critically on institutional trust, procedural standardization and enforcement capacity (Patrucco et al., 2016; Flynn, 2018).

In the Italian context, MePa is a key instrument in modernizing procurement practices. Its standardized and transparent procedures reduce information asymmetries and facilitate broader supplier participation, especially among SMEs (Albano et al., 2015). At the same time, persistent disparities in digital maturity and administrative capacity across contracting authorities continue to affect the uniform implementation of e-procurement. These challenges underscore that digital platforms operate within, and are shaped by, existing institutional frameworks.

A significant institutional development in this area is the Italian Law Decree No. 36/2023 (Procurement Code), which mandates the use of MePa for procedures. By making digitalization a legal requirement, the reform seeks to standardize procurement processes, enhance interoperability across public administrations and strengthen transparency through real-time monitoring. More broadly, the decree aims to address historical fragmentation in Italian procurement by embedding digital tools within a unified regulatory framework, thereby aligning national practices with the EU’s digital governance agenda.

Recent studies have further expanded the analysis of public procurement by incorporating ethical, sustainability and public value dimensions. Comparative evidence shows that while Italian institutions tend to emphasize regulatory compliance, other systems rely more heavily on voluntary social and environmental standards (Chiarini et al., 2017). At the same time, corruption and organized crime have been shown to undermine sustainability objectives and public value creation, particularly in contexts characterized by institutional weakness (Gnaldi and Del Sarto, 2024; Fontana and D’Agostino, 2024; Millemaci and Patti, 2025). These insights have contributed to the growing literature on the value of public procurement, which seeks to balance efficiency, transparency and equity objectives (Tammi et al., 2020; Fontana and D’Agostino, 2024).

Overall, the literature suggests that procurement outcomes are given by the interaction of market competition, institutional quality, and technological innovation. Nevertheless, these dimensions are often examined separately. Auction-based studies focus on cost–performance trade-offs (Decarolis, 2014; Coviello et al., 2018a, 2018b), research on digital procurement emphasizes transparency and participation (Albano et al., 2015; Tammi et al., 2020) and governance-oriented contributions stress the role of organizational capacity and professionalization (Patrucco et al., 2016; Chiappinelli, 2020).

While the interaction between supplier participation and procedural design may be consistent with how procurement rules are associated with contract allocation, it may also reflect structural characteristics of competitive procedures, which are more likely to allow multiple contract awards. Accordingly, this pattern should be interpreted as heterogeneity in the association between supplier participation and contracting outcomes across procedural formats rather than as evidence of a causal governance mechanism. Therefore, the analysis focuses on how the relationship between supplier participation and contracting outcomes varies across procedural formats, without implying a direct causal effect.

Based on this interpretation, the third hypothesis is formulated as follows:

H3.

The association between supplier participation and the number of contracts defined is stronger in competitive procedures than in noncompetitive procedures.

This study uses administrative microdata from CONSIP S.p.A., the Italian purchasing agency operating under the Ministry of Economy and Finance. CONSIP manages the MePa, the national electronic marketplace for public procurement in Italy.

The data set includes 6,550 procedures awarded on MePa by public administrations (P.A.) in 2024[1]. A procedure denotes a single tendering process initiated by one or more contracting authorities to purchase goods or services under a defined set of procedural rules (e.g. RdO or TD). Each procedure, therefore, represents an event that may result in the award of one or more contracts, depending on the demand structure and the number of suppliers involved.

In this study, the procedure is the unit of observation. Accordingly, the dependent variable, the number of contracts defined, captures the number of contractual relationships established within each procedure. This distinction is important for interpreting the empirical results, as variation in contracting outcomes reflects differences in how procurement procedures allocate demand among suppliers. The data set provides a comprehensive cross-sectional view of digital procurement activity during the first full year of implementation of the New Procurement Code.

In addition, the data set includes the number of participating suppliers and public administrations for each procedure, along with identifiers and descriptions of contracting authorities (type, region and province), suppliers (region and province), and purchasing categories. Descriptive statistics, descriptions of purchasing categories, variable definitions and the correlation matrix are provided in  Appendix 1 (Tables A1, A2, A3, A4 and A5 of the  Appendix 1, respectively).

To account for institutional and territorial differences, the empirical model incorporates fixed effects for MePa categories (common procurement vocabulary – CPV) [2], types of public administration and the geographical locations of both authorities and suppliers. The contracting authority categories include ministries, municipalities, universities, hospitals and research institutions. This data set provides a suitable context for examining how competition and procedural design relate to variation in contracting outcomes in Italy’s digital public procurement system under the new regulations.

From a methodological perspective, using procurement data improves the validity and reliability of empirical analysis. First, construct validity is preserved because the variables directly reflect observable institutional features of procurement processes recorded on the MePa. Second, measurement reliability is enhanced because the data set is derived from standardized administrative records rather than from survey responses or self-reported data. All procedures on the MePa are documented through mandatory digital processes managed by CONSIP, ensuring consistent data collection and reducing the risk of reporting errors, recall bias or subjective interpretation. The operationalization of variables follows clear coding procedures based on the structure of the administrative data set. The operationalization of variables follows clear coding procedures based on the structure of the administrative data set.

The dependent variable is the number of contracts defined (n_contracts) for each procedure managed on the Italian MePa in 2024. This variable captures the total number of individual contractual relationships established through a given procurement process, whether via a competitive procedure (RdO) or a discretionary direct negotiation (TD). Beyond measuring contracting volume, n_contracts reflects how procedures are associated with patterns of access to public markets and the distribution of contractual opportunities among economic operators.

From a governance perspective, a higher number of contracts defined within a procedure indicates greater procedural openness and a more decentralized allocation of public demand. By contrast, procedures resulting in a single contract typically reflect more concentrated and discretionary forms of market allocation.

Figure 1 displays the distribution of n_contracts. The histogram shows a strongly right-skewed distribution, with most procurement procedures yielding a small number of contracts, often just one. In contrast, a limited number of procedures generate multiple contractual outcomes.

Figure 1.
A histogram plots n contracts defined by frequency, with most observations near 1 to 4 and a density curve peaking around 2.The horizontal axis reads n contracts defined and ranges from 0 to 100, with labelled ticks at 0, 20, 40, 60, 80, and 100. The vertical axis reads Frequency and ranges from 0 to 6000, with labelled ticks at 0, 2000, 4000, and 6000. The tallest bar is near 1 to 4 and reaches about 6000. A smaller bar near 4 to 7 reaches about 300. Very small bars continue near 7 to 20. The density curve rises to about 2000 near 2, then falls close to 0 by about 10.

Distribution of n_contracts defined in 2024 by P.A.

Source: Author’s own elaboration on CONSIP data

Figure 1.
A histogram plots n contracts defined by frequency, with most observations near 1 to 4 and a density curve peaking around 2.The horizontal axis reads n contracts defined and ranges from 0 to 100, with labelled ticks at 0, 20, 40, 60, 80, and 100. The vertical axis reads Frequency and ranges from 0 to 6000, with labelled ticks at 0, 2000, 4000, and 6000. The tallest bar is near 1 to 4 and reaches about 6000. A smaller bar near 4 to 7 reaches about 300. Very small bars continue near 7 to 20. The density curve rises to about 2000 near 2, then falls close to 0 by about 10.

Distribution of n_contracts defined in 2024 by P.A.

Source: Author’s own elaboration on CONSIP data

Close modal

This distribution indicates that while discretionary or narrowly structured procedures tend to concentrate contractual outcomes, more competitive or open procedures are associated with greater contract fragmentation. Consistent with the discrete, non-negative, and overdispersed nature of the dependent variable, the empirical analysis uses count-data models, specifically Poisson and Negative Binomial (NBREG) regressions, to examine how procedural design and supplier participation influence contracting outcomes.

Therefore, n_contracts is interpreted not only as a measure of procedural outcomes but also as a reflection of the procedural steps leading to contractual agreements, and of how digital procurement rules, under the New Procurement Code, translate institutional frameworks into tangible governance outcomes. This view aligns with governance theories that regard procedural design as a key institutional feature associated with how public authorities organize competition and structure discretion.

The primary independent variable is a binary indicator (RdO) that distinguishes between competitive and non-competitive procurement procedures. The variable takes the value 1 when the procedure is an RdO and zero otherwise.

The RdO is a competitive, rule-based electronic procurement process in which public administrations invite multiple qualified suppliers to submit bids via the MePa. The RdO reflects the level of procedural competitiveness present in each procurement event, highlighting the differences between open and discretionary contracting modes within the same digital system.

In contrast, the TD constitutes a noncompetitive negotiation between the public administration and a single supplier. It is typically used for low-value or urgent acquisitions, allowing greater procedural flexibility but involving limited competition and transparency.

Figure 2 complements this distributional evidence by comparing the average number of contracts defined in procurement procedures conducted through TD and RdO.

Figure 2.

Average number of contracts defined by procurement procedure in 2024

Source: Author’s own elaboration on CONSIP data

Figure 2.

Average number of contracts defined by procurement procedure in 2024

Source: Author’s own elaboration on CONSIP data

Close modal

The figure shows that TDs are associated with a higher average number of contracts per procedure, whereas RdOs exhibit lower average contracting intensity. This descriptive pattern should be interpreted with caution. In fact, these descriptive and regression results are not contradictory, as they capture different dimensions of contracting outcomes (i.e., unconditional averages versus model-based conditional relationships).

The analysis also includes the number of suppliers participating in each procedure (n_suppliers), which quantifies market participation. More suppliers are expected to enhance the likelihood of multiple contract awards, reflecting stronger competitive pressure.

To evaluate the interaction between procedural design and supplier participation, an interaction term (RdO × n_suppliers) is added. This term allows us to assess whether the association between supplier participation and contracting outcomes is stronger under competitive RdO procedures than under direct negotiations. By incorporating these variables, the analysis captures both the institutional dimension (procedure type) and the market dimension (supplier participation) of competition. This enables us to examine how their interaction is associated with variation in contracting outcomes within Italy’s digital public procurement system.

The empirical analysis includes several control variables that account for institutional, sectoral and geographical differences across procurement events, thereby isolating the specific effects of procedural design and market participation. The number of public administrations involved in each procedure (n_PA) indicates the level of institutional coordination. While multi-administration purchasing procedures can benefit from economies of scale, they may also face higher coordination and governance costs.

Additionally, the models incorporate a comprehensive set of fixed effects to control for unobserved differences. These fixed effects include public administrations, such as public territorial entities, hospitals, hospices, IRCCS, public medical centers, chambers of commerce, municipalities, government ministries, universities and national research councils. They also encompass product and service categories on the public electronic procurement platform. Geographical location is also considered, including both contracting authorities and suppliers at the regional and provincial levels.

These control variables help account for systematic differences in procurement practices across institutional types, market sectors and geographical contexts. Their inclusion is intended to help account for confounding contextual or structural factors, so that the estimated associations and interactions of the main explanatory variables more closely reflect differences in procedural competitiveness and market participation.

This study uses a count-data model to examine the relationship between procedural design, supplier participation and contracting outcomes in the Italian digital public procurement system. Since the dependent variable, the number of contracts (n_contracts), is a non-negative integer, a Poisson regression model is used. This specification is appropriate for discrete and right-skewed outcomes and assumes that the conditional mean and variance of the dependent variable are approximately equal (Wooldridge, 2010).

Although the theoretical framework refers to mechanisms such as transaction frictions and administrative discretion, these dimensions are not directly observable in the data set. Accordingly, the empirical strategy focuses on contracting outcomes at the procedure level and interprets the estimated coefficients as capturing systematic associations between procedural rules, supplier participation and contract allocation patterns. The following econometric equation describes the model:

(1)

where n_contracts is the dependent variable, β0 is the constant term, β1 is the coefficient for RdOi, β2 is the coefficient for n_suppliersi, β3 is the coefficient for the interaction term and β4 is the coefficient for n_PAi. The coefficient γ refers to the vector Zi, which includes a comprehensive set of variables that control for the product category, type of public administration and the regional and provincial locations of the contracting authorities and suppliers. Finally, 𝜀i is the error term that captures unobserved heterogeneity.

Equation (1) models both the expected relationship between procedural competitiveness (represented by RdO) and the interaction between procedural design and supplier participation (indicated by the same variables, along with supplier involvement).

Consistent with the hypotheses, a positive and statistically significant β1 indicates that RdO are associated with a higher number of contracts, supporting H1. Likewise, β2 > 0 indicates that greater supplier participation is associated with higher contracting activity within procedures, consistent with H2.

Finally, β3 > 0 indicates that the marginal association between supplier participation and contracting outcomes is stronger in competitive procedures, highlighting differences in how participation relates to contract allocation across procedural formats, consistent with H3.

Table 1 presents the results from the econometric model described by Equation (1). These analyses examine the relationships between negotiation type (RdO vs TD), the number of suppliers and the number of contracts negotiated between public administration (PA) entities and suppliers on the MePa in Italy in 2024.

Table 1.

Main estimated results

(1)(2)(3)(4)(5)(6)
BaselineBaselineBaselinePoissonPoissonPoisson
Variablesn_contractn_contractn_contractn_contractn_contractn_contract
RdO0.286** (0.118)0.171** (0.0716)0.608** (0.290)0.153** (0.0624)0.143*** (0.0529)0.277*** (0.0599)
n_suppliers2.002*** (0.135)2.152*** (0.223)0.114*** (0.0123)0.172*** (0.0139)
RdO × n_suppliers0.317 (0.216)0.0773*** (0.0176)
n_PA3.059*** (0.284)−0.822*** (0.235)−0.917*** (0.266)0.755*** (0.0452)0.512*** (0.0459)0.374*** (0.0348)
Constant−2.499*** (0.404)−0.159 (0.183)−0.398* (0.212)−0.429*** (0.135)−0.328*** (0.113)−0.279** (0.118)
Type PAYesYesYesYesYesYes
Type MePaYesYesYesYesYesYes
Product category (CPV)YesYesYesYesYesYes
Region PAYesYesYesYesYesYes
Province PAYesYesYesYesYesYes
Region supplierNoYesYesYesYesYes
Observations6,5506,5506,5506,5506,5506,550
R-squared0.1580.7480.752
Pseudo R-squared0.15940.28470.3022
Note(s):

Robust standard errors in parentheses ***p < 0.01, **p < 0.05 and *p < 0.1

Before discussing the results, it is important to clarify that the empirical analysis identifies associations between procedural design, supplier participation and contracting outcomes, rather than directly testing underlying mechanisms such as transaction frictions, administrative discretion or market openness. These mechanisms are theoretically grounded in the literature but are not directly observable in the data (Decarolis and Giorgiantonio, 2015; Chiappinelli, 2020).

All models include the total number of observations, R-squared, Pseudo R-squared, types of PA and categories of related commodities and services on MePa. Additionally, the effects of the region and province where PAs and suppliers are located are controlled for to account for systematic heterogeneity across categories. All are reported at the bottom of the table.

The first three columns present the results from the OLS baseline model, while the last three columns display the results from the Poisson model. Columns 3 and 6 present fully specified models, including the two main explanatory variables, RdO and n_suppliers, as well as their interaction term (RdO × n_suppliers). For completeness, we focus our discussion on the results from the Poisson model, while the OLS estimates serve as a complementary check, showing that our findings are robust across different modeling approaches.

The results across all specifications are remarkably consistent in their signs and significance. The coefficient associated with the RdO is positive and statistically significant at the 5% and 1% levels (as shown in Columns 4–6). This finding indicates that, when other factors are held constant, competitive procedures are associated with a higher number of contracts than TD, which favors a single-negotiation route with a single supplier.

Additionally, in Column 4, a one-unit increase in RdO is associated with a 0.153-unit rise in the number of contracts. This corresponds to a 1.165% increase, implying an approximately 16.5% increase in the expected number of contracts [3]. In Column 5, a one-unit increase in RdO is associated with a 0.143 increase in the predicted number of contracts, translating to a 15.4% increase. Finally, in Column 6, a one-unit increase in RdO corresponds to a 0.277 increase in the predicted number of contracts, which is associated with approximately a 32% increase in the number of defined contracts. These results support H1, indicating that competitive procedures are systematically associated with higher levels of contract allocation. In line with prior research on procedural design (Decarolis, 2014; Flynn, 2018), this pattern is consistent with more distributed contracting structures.

The variable n_suppliers, presented in Columns 5 and 6, shows a positive and statistically significant effect at the 1% level. This suggests that an increase in the number of suppliers involved in the procurement process is associated with more contracts being awarded. Specifically, in Column 5, a one-unit increase in n_suppliers corresponds to a coefficient of 0.114, which translates to an approximate 12.1% increase in the expected number of contracts. In Column 6, the coefficient for n_suppliers is 0.172, implying an 18.8% increase in expected contracts. These findings support H2 and indicate that variation in supplier participation is associated with differences in contracting outcomes at the procedure level. This pattern is consistent with previous studies on supplier participation in e-procurement systems (Albano et al., 2015; Tammi et al., 2020). However, this relationship reflects participation within individual procedures and should not be interpreted as a direct measure of broader market openness or system-wide accessibility.

The interaction term RdO × n_suppliers, presented in Column 6, is positive and statistically significant at the 1% level, with a coefficient of 0.0773. This suggests that the association between RdO and the number of contracts is stronger at higher levels of supplier participation, corresponding to an additional 8.0% increase in the expected number of contracts per additional supplier when RdO increases by one unit. More broadly, this pattern indicates that the association between supplier participation and contract allocation is stronger under competitive procedures as the number of participating suppliers increases.

This result is consistent with H3 and indicates that the relationship between participation and contracting outcomes varies across procedural formats. This interpretation is consistent with institutional perspectives suggesting that competition depends on how it is organized within procedural frameworks (Coviello et al., 2018a, 2018b; Chiappinelli, 2020). Importantly, this pattern should be interpreted as heterogeneity in the association between supplier participation and contracting outcomes across procedural formats, rather than as evidence of a causal governance mechanism. Part of the observed relationship may reflect structural characteristics of competitive procedures, such as their greater compatibility with multiple contract awards. Accordingly, the interaction is interpreted as capturing differences in the strength of association rather than a causal amplification mechanism.

Among the control variables, n_PA, representing the number of public administrations involved, is consistently positive and statistically significant across Columns 4–6. This indicates that greater public administration participation in the procurement process is associated with a higher number of contract awards.

In Column 4, a one-unit increase in n_PA corresponds to a coefficient of 0.755, translating to a 112.7% increase in expected contracts. In Column 5, the coefficient is 0.512, equivalent to a 66.9% increase. In Column 6, the coefficient is 0.374, representing a 45.4% increase in the expected number of contracts.

Finally, the inclusion of controls for product categories, institutional types and geographical characteristics accounts for structural heterogeneity in procurement processes. These controls ensure that the observed relationships between procedural design, supplier participation and contracting outcomes are not driven by sector-specific or institutional differences.

4.1.1 Alternative model specification.

Table A6 in  Appendix 2 presents the results of the NBREG models, estimated as a robustness check to account for potential overdispersion in the count-dependent variable (n_contracts). Across all three specifications, the results are broadly consistent with those from the earlier Poisson estimations, confirming the stability and reliability of the main findings. The coefficient for the RdO remains positive and statistically significant in the first two models (Columns 7–8), although its magnitude decreases slightly relative to the baseline Poisson specification. This suggests that competitive procedures remain positively associated with a higher likelihood of receiving awarded contracts, even after controlling for unobserved heterogeneity in the count process. The effect of the number of suppliers with defined contracts (n_suppliers) is positive and highly significant across all specifications, confirming that broader supplier participation is associated with higher contracting activity.

In Column (9), the inclusion of the interaction term (RdO × n_suppliers) yields a positive and statistically significant coefficient (0.0154, p < 0.05), indicating that the positive association between competitive procedures and contracting outcomes is stronger at higher levels of supplier participation. This result aligns with theoretical expectations and may be consistent with a stronger association between supplier participation and contracting outcomes under RdO procedures, as well as with higher levels of contract fragmentation and market participation. The coefficient on n_PA remains positive and significant throughout, reinforcing the role of institutional involvement in expanding contract volumes. The negative and significant constant term suggests that the expected number of contracts is relatively low in the absence of competitive procedures and supplier participation.

All specifications include fixed effects for type of PA, MePa category and regional and provincial location, ensuring that the results are not driven by structural or geographical heterogeneity. The significant negative estimates of lnα across all columns confirm overdispersion, thereby justifying the use of the NBREG model over the standard Poisson specification. Overall, these results corroborate the robustness of the main findings.

4.1.2 Instrumental variable approach.

The use of RdO may be associated with unobserved factors, such as management quality, digital maturity or local procurement culture, which could also affect the number of contracts established.

The instrumental variable (IV) approach is introduced as an additional robustness exercise to address potential endogeneity in the choice of procurement procedure. The IV strategy does not fully eliminate identification concerns. Still, it exploits exogenous variation in procedural adoption driven by peer behavior, thereby providing additional evidence consistent with the robustness of the observed association.

To address potential endogeneity, we construct a set of instruments that exploit exogenous variation in procedural norms across comparable public administrations. Specifically, we create three “leave-one-out” instruments to measure the propensity to use RdO within the relevant peer groups, as reported in  Appendix 3[4].

The first instrument, zrc_loo, is the leave-one-out share of RdO procedures among other public administrations operating in the same region. This variable captures local procedural habits and regulatory environments that influence how administrations within the same market context adopt RdO but are plausibly exogenous to an individual administration’s specific contracting decisions.

The second instrument, zcat_other_regs, represents the average share of RdO procedures within the same MePa category across regions. By excluding the local area, this measure captures national procedural trends within each product/service category while mitigating concerns that regional shocks to procurement behavior may bias identification.

The third instrument, zptc_loo, is the leave-one-out RdO share within the same type_PA × Category MePa. This variable captures procedural norms across comparable administrative types that face similar bureaucratic and operational constraints.

These instruments exploit cross-sectional variation in peer adoption of RdO across aggregation levels, capturing differences in the propensity of administrations to use competitive procedures. Peer procedural norms are associated with individual administrations’ adoption of RdO through organizational learning, benchmarking and regulatory imitation, mechanisms well documented in procurement practice, while remaining plausibly unrelated to procedure-specific contracting outcomes.

The IV can be expressed as a two-stage system estimated on the 2024 cross-sectional sample to formalize the empirical strategy. In the first stage, the potentially endogenous adoption of the RdO is instrumented using peer procedural norms observed across comparable public administrations:

(2)

where Xi denotes control variables such as the number of suppliers with defined contracts, participating public administrations and categorical and regional fixed effects. The coefficients π1,π2,π3 capture the relevance of peer procedural norms in explaining variation in RdO adoption.

In the second stage, the predicted value RdO^i obtained from the first stage is used to estimate its estimated relationship on contracting intensity:

(3)

where n_contractsi represents the number of contracts defined by administration i, and β1 captures variation in contracting outcomes associated with predicted differences in RdO adoption among administrations influenced by peer norms. Thus, Table A7 in  Appendix 2 presents the instrumental-variable regression estimates from Equation (3).

The baseline IV regression in Column (10) excludes additional covariates and shows a positive, statistically significant effect: administrations that use RdO define, on average, 0.42 more contracts than comparable entities that do not use this competitive procedure.

When observable controls, including the number of suppliers with defined contracts and the number of participating public administrations, are added in Column (11), the magnitude of the RdO coefficient declines to 0.16. Still, it remains highly significant at the 1% level. Including these variables, both strongly related to procurement volume, accounts for much of the cross-sectional variance. In the complete specification with category and region fixed effects (Column 12), the coefficient on RdO slightly increases to 0.25. The result remains statistically significant at the 5% level, suggesting robustness to unobserved heterogeneity across product/service categories and geographical areas.

The control variables behave as expected: the number of suppliers with defined contracts is significantly and positively correlated with the number of contracts, suggesting that greater supplier participation is associated with higher levels of contracting activity. Conversely, the number of public administrations involved is negatively and significantly associated, suggesting possible coordination or governance frictions in multi-PA procedures. The interaction term, significant at the 10% level, points to modest complementarities between supplier participation and procedural competitiveness.

Overall, the IV estimates support the interpretation that competitive procurement procedures are positively correlated to a more active contract definition for MePa. The consistency of the coefficient across specifications, along with the substantial increase in explanatory power (R2 from 0.001 to 0.747), underscores the robustness of this relationship.

While the IV results provide additional support for the main findings, they should be interpreted with caution, given the cross-sectional nature of the data and the reliance on peer-based instruments.

The empirical findings are consistent with a governance interpretation in which digital procurement is associated with specific patterns in public contracting outcomes. The positive association between competitive, rule-based procedures, RdO, and the number of contracts awarded suggests that procedural design is associated with more structured and less discretionary patterns of contract allocation rather than serving as a technical tool for efficiency. Unlike direct negotiations, which rely on bilateral interactions and allow more informal bargaining, the RdO embeds procurement decisions within standardized, transparent frameworks. This is consistent with more standardized and less individualized patterns of contract allocation (Decarolis and Giorgiantonio, 2015; Bosio et al., 2022).

At the same time, the role of discretion in procurement is more nuanced than a simple trade-off between “more” or “less” control. Evidence from Coviello et al. (2018b) shows that greater discretion can sustain repeated relationships between buyers and suppliers without necessarily worsening observed procurement outcomes, highlighting the potential role of reputational mechanisms and relational contracting under incomplete contracts. Similarly, Bajari et al. (2009) argue that competitive bidding may be less effective in complex procurement settings where design is incomplete and ex post adaptation is required, as rigid procedures can limit communication and flexibility.

From this perspective, the RdO can be interpreted as an institutional commitment device. By setting predefined participation rules, timelines and evaluation criteria within the MePa, competitive digital procedures require public administrations to follow observable, enforceable processes. This proceduralization of procurement is associated with lower ex post flexibility and greater ex ante predictability for market participants and is consistent with a shift of authority toward more rule-based institutional arrangements (Decarolis, 2014; Flynn, 2018). Consequently, competition appears not only more intense but also more structured within procedural frameworks associated with the organization of access to public demand and state–market relations.

The interaction between RdO adoption and supplier participation is consistent with this interpretation. The rise in contracting outcomes in procedures with both rule-based design and broader participation suggests that openness and competition are closely associated in settings with more standardized, less discretionary allocation patterns. When procedural rules are weak or negotiable, greater participation may not yield more inclusive or varied contracting outcomes. This aligns with evidence that competition without credible institutional enforcement can fail to produce governance improvements (Coviello et al., 2018a, 2018b; Chiappinelli, 2020; Özyürek and Erdal, 2025).

Moreover, the results underscore the crucial role of administrative capacity in mediating the effects of digitalization. Digital procurement platforms do not automatically eliminate discretion; instead, they shift where that discretion lies. Successful implementation of competitive procedures requires organizational capabilities, including legal expertise, digital skills and monitoring capabilities. When these capabilities are uneven, digital tools may perpetuate existing institutional disparities rather than rectify them (Patrucco et al., 2016; Caserta et al., 2025). This finding aligns with previous research showing that procedural reforms yield governance gains only when implemented in sufficiently professionalized administrative environments.

Overall, these findings suggest that the governance implications of digital procurement are less related to automation itself and more to the procedural reconfiguration of authority. By embedding competition within standardized digital rules, platforms such as MePa can be interpreted as institutional arrangements associated with how public administrations exercise authority, constrain discretion and regulate market access (Bosio et al., 2022; Bauhr et al., 2020). This highlights the importance of examining the institutional conditions under which digital reforms are associated with differences in accountability and the governance of public spending, rather than focusing solely on short-term efficiency gains (Albano et al., 2015).

This study examines the relationship between procedural design and contracting outcomes in a digital public procurement system. Empirical analysis reveals a consistent association between competitive procurement procedures, specifically the RdO, and increased contracting activity on the MePa platform. Rather than interpreting this relationship solely as a technical efficiency improvement, the results suggest that procedural rules embedded in digital procurement systems may be associated with how competition is organized and how contractual opportunities are distributed among suppliers. These findings are interpreted through an integrated framework in which procurement outcomes can be understood as reflecting the interaction between incentive structures, governance arrangements and administrative capabilities.

From an auction theory perspective, the observed correlation between competitive procedures and contracting outcomes aligns with theoretical propositions that structured competition is associated with more dynamic procurement markets (Decarolis, 2014; Albano et al., 2015). Competitive procurement formats establish transparent bidding environments in which suppliers participate under standardized regulations, thereby reducing information asymmetries and enabling more precise bid comparisons. Previous research has demonstrated that procurement performance is predominantly linked to the institutional configuration of purchasing procedures rather than to competition per se (Flynn, 2018; Coviello et al., 2018a, 2018b). In this context, the positive association between RdO and the number of contracts can be interpreted as consistent with the idea that rule-based procurement formats are associated with procurement environments characterized by greater supplier engagement and a more decentralized distribution of contractual opportunities.

The findings also align with insights from RDT. This theory suggests that public organizations depend on external markets for essential resources and develop institutional practices to manage these dependencies. Procurement procedures serve as one such governance tool. Competitive processes like RdO give access to a broader range of suppliers, which may be associated with lower dependence on limited or bilateral procurement arrangements. Consequently, the relationship between RdO procedures and contracting results may be interpreted as reflecting how rule-based procurement methods are associated with interactions between public agencies and supplier markets. Rather than engaging in discretionary negotiations with individual suppliers, these competitive procedures are more commonly associated with environments characterized by wider participation and more dispersed contractual relationships.

These perspectives are complementary rather than competing. Auction theory helps explain how procurement procedures are associated with bidding incentives; RDT highlights how these procedures relate to interactions between public administrations and supplier markets; and the RBV emphasizes the role of internal administrative capabilities in implementing and managing such procedures. Together, these approaches suggest that contracting outcomes can be viewed as reflecting the interaction between incentive structures, governance arrangements and organizational capacity, rather than arising from any single mechanism in isolation.

This interpretation is also consistent with research showing that the effects of procedural choice depend on the trade-off between openness and flexibility. Bajari et al. (2009) argue that competitive bidding is less suitable when projects are complex and contractual design is incomplete, because auctions can limit communication and make ex post adaptation costly. By contrast, Coviello et al. (2018a) show that discretionary procedures may sustain repeated relationships without necessarily worsening procurement outcomes.

The results regarding supplier participation support this interpretation. The positive association between the number of participating suppliers and contracting outcomes suggests that broader market participation correlates with increased contracting activity. This finding aligns with the integrated framework: from an auction theory perspective, increased participation intensifies competition, while the RDT suggests that a larger supplier pool expands access to external resources. Concurrently, the RBV suggests that translating this participation into effective contract allocation depends on the administrative capabilities of contracting authorities.

This positive association can also be interpreted in light of the broader e-procurement literature. Lewis-Faupel et al. (2016) show that digital procurement can broaden the distribution of winners and improve quality-related outcomes even when prices do not fall, suggesting that digital systems matter by facilitating entry and changing contractor selection. This pattern is consistent with previous research showing that digital procurement platforms can facilitate supplier entry and lower transaction barriers, particularly for SMEs (Albano et al., 2015; Tammi et al., 2020).

The role of administrative participation provides additional insight into the institutional dynamics of digital procurement. The positive correlation between the number of participating public administrations and contracting outcomes suggests that multi-administration procurement processes typically lead to higher contracting activity. One possible interpretation is that collaborative procurement arrangements facilitate demand aggregation and expand the scope of procurement efforts. At the same time, the variation across different specifications indicates that coordination among multiple administrations can introduce organizational complexity. This interpretation aligns with arguments from the RBV, which emphasizes that procurement performance heavily depends on organizational capabilities such as administrative expertise, digital skills and monitoring capacity (Patrucco et al., 2016; Caserta et al., 2025).

Even when procurement procedures are standardized through digital platforms, their success still relies largely on the capabilities of the public administrations overseeing them. This reinforces the integrated perspective that procurement outcomes depend not only on procedural rules and market structure but also on the capacity of public administrations to implement and manage these processes effectively.

Therefore, these findings add to the broader literature on digital governance in public procurement. Prior research has often highlighted the transparency and efficiency benefits of electronic procurement platforms (Albano and Sparro, 2010; Albano et al., 2015; Tammi et al., 2020). Digital platforms like MePa standardize procurement procedures, create traceable records and are associated with more structured interactions between public administrations and supplier markets.

This perspective also helps interpret why supplier participation alone may not always be associated with improved procurement outcomes. When procedures remain discretionary or weakly institutionalized, increased participation may merely raise the number of bidders without being clearly associated with differences in contracting dynamics. Conversely, when participation occurs within clearly defined competitive procedures, such as RdO, the relationship between market openness and contracting activity appears stronger.

This pattern should be interpreted as heterogeneity in the association between supplier participation and contracting outcomes across procedural formats rather than as evidence of a causal governance mechanism. Within an integrated framework, auction theory suggests that competitive environments may be more responsive to variation in participation, while the RDT highlights how procedural rules relate to access to supplier markets. Consistent with the RBV and the limitations of the empirical design, this relationship may partly reflect structural features of competitive procedures rather than a distinct governance effect. This observation aligns with institutional analyses indicating that the effectiveness of competition depends not only on the number of market participants but also on the procedural frameworks governing it (Decarolis and Giorgiantonio, 2015; Flynn, 2018).

These results highlight the importance of procedural design as an institutional component of digital procurement systems. Competitive procedures are systematically associated with procurement environments characterized by broader market access and more distributed contracting outcomes. Consequently, digital procurement platforms can be interpreted as institutional infrastructures associated with the organization of competition through standardized rules rather than discretionary administrative decisions (Bosio et al., 2022; Bauhr et al., 2020).

By emphasizing these relationships, this study contributes to debates regarding the governance implications of digital procurement reforms. The findings suggest that procurement outcomes are associated with the institutional structure of competition, in relation to procedural rules and administrative capabilities, thereby highlighting the relevance of institutional design in the functioning of digital procurement markets.

Overall, these findings support an integrated interpretation in which procurement outcomes can be understood as reflecting the interaction of incentive structures, governance arrangements and administrative capabilities, reinforcing the need to consider procedural design, market participation and organizational capacity jointly rather than in isolation.

This study analyzed the relationship between procurement procedural design and contracting outcomes within the digital public procurement system in Italy. Using administrative data from the MePa platform, the analysis demonstrates that competitive and rule-based procedures, particularly the RdO, are consistently associated with higher levels of contracting activity. These findings suggest that procurement outcomes are associated with how competition is organized through procedural rules and digital infrastructures (Decarolis, 2014; Patrucco et al., 2016; Flynn, 2018; Chiappinelli, 2020).

Beyond this empirical outcome, the findings are consistent with a governance-focused interpretation of digital procurement systems. Instead of removing administrative discretion, digital procedures seem to be associated with a reorganization of administrative discretion within standardized and transparent frameworks.

In this way, competitive procedures can be interpreted as associated with more standardized, less discretionary allocation patterns. Consistent with Decarolis and Giorgiantonio (2015, 2019), the results suggest that the design of procurement rules, rather than transparency alone, is closely tied to how efficiency, fairness and accountability are achieved within decentralized procurement systems.

These insights add to the literature on public procurement and digital governance by highlighting the institutional aspect of digital procurement systems.

From an RDT perspective, procurement procedures can be interpreted as governance tools that public administrations use to manage relations with external supplier markets. Competitive procedures tend to occur in environments with wider supplier involvement and more dispersed contractual arrangements. This aligns with previous findings on how institutional design is associated with state–market interactions (Guccio et al., 2014; Coviello et al., 2018a, 2018b; Chiappinelli, 2020).

At the same time, the findings are consistent with the RBV of public organizations, which highlights the importance of administrative skills in implementing procurement reforms (Decarolis and Giorgiantonio, 2015; Patrucco et al., 2016; Caserta et al., 2025). Even within standardized digital platforms, procurement outcomes remain closely tied to the organizational capacities of public administrations responsible for implementing procedural rules and managing supplier relationships. By situating digital procurement systems within broader governance frameworks, this study contributes to ongoing discussions on the institutional foundations of digital public administration and procurement modernization (Albano et al., 2015; Tammi et al., 2020; Bosio et al., 2022).

However, this study highlights several limitations that frame its empirical contribution and suggest directions for future research. First, the analysis relies on a cross-sectional data set from a single year (2024), which restricts the ability to observe dynamic learning processes, institutional adaptation and potential path dependencies in procurement behavior. Digital procurement reforms, especially those related to implementing the new Procurement Code, may have gradual effects over time as public administrations adjust their practices and build organizational capabilities. Future research could, therefore, use panel data or longitudinal designs to examine how procurement procedures and outcomes change across regulatory cycles and stages of institutional learning.

Second, although the empirical strategy uses an instrumental-variables approach to address potential endogeneity, some unobserved factors may still influence the estimated relationships. Specifically, elements such as digital maturity, organizational culture, managerial quality and informal governance practices are not directly observable in the data set. However, they could be linked to both procedural choices and procurement outcomes. Future research could address these limitations by incorporating survey-based measures, qualitative data or matched administrative data sets to better understand these hidden organizational factors.

Third, the analysis centers on contracting intensity, measured by the number of contracts established in each procurement procedure. Although this metric offers valuable insights into the structure of procurement outcomes, it does not encompass other pertinent dimensions of procurement performance, such as contract value, price efficiency, innovation content, sustainability criteria or the quality of contract execution, all of which are increasingly integral to contemporary procurement policy agendas (Tammi et al., 2020). Future research may expand the scope of analysis by integrating multidimensional performance indicators, thereby facilitating a more comprehensive evaluation of procurement efficacy.

Fourth, the study is set within the institutional context of the Italian MePa platform, which operates under a specific regulatory and administrative framework. While this provides a rich empirical environment, it may limit how well the findings apply to procurement systems with different levels of centralization, enforcement or digital integration. Comparative research across EU and OECD contexts could help clarify how institutional factors, such as judicial efficiency, oversight mechanisms and administrative professionalization, shape the relationship between procedural design and procurement outcomes (Coviello et al., 2018a, 2018b; Bosio et al., 2022; Bauhr et al., 2020; Boykin et al., 2025; Broggil, 2008).

Overall, these findings indicate that “one size fits all” approaches to procurement design may overlook critical institutional differences, as contracting outcomes are closely associated with how procedural competition is structured within digital public procurement systems, and should therefore be interpreted as evidence of systematic differences in association across procedural formats rather than as direct evidence of causal mechanisms linking procedural design to contracting

The findings of this study provide several policy implications for policymakers and public procurement practitioners. These implications are grounded in the observed empirical associations and should not be interpreted as direct evidence of causal effects or underlying mechanisms.

First, the mandatory implementation of MePa under Law Decree No. 36 / 2023 provides an important opportunity to enhance procurement governance. However, the empirical findings suggest that digitalization alone may not be sufficient. Instead, the results indicate that contracting outcomes are closely associated with how competition is structured through procedural rules and how supplier participation is organized within these frameworks. In this context, policymakers may consider prioritizing procedural standardization alongside platform adoption. The evidence shows that competitive formats such as RdO are associated with more distributed contracting patterns, which are consistent with more structured allocation mechanisms. At the same time, these procedures may increase administrative and compliance burdens, particularly for smaller contracting authorities. This suggests the importance of aligning procedural requirements with administrative capacity rather than applying uniform rules across heterogeneous institutions.

In addition, the findings highlight that supplier participation is more strongly associated with contracting outcomes when embedded within structured procedural environments. This suggests that policy interventions aimed at expanding participation may be more effective when combined with clear procedural rules and monitoring mechanisms.

Finally, the results point to the relevance of administrative capacity in shaping procurement outcomes. Investments in digital skills, legal expertise and monitoring capabilities may therefore play a critical role in enabling public administrations to implement standardized procedures effectively. While these implications are consistent with broader theoretical arguments on procurement governance, they should be interpreted as informed by observed empirical associations rather than as direct evidence of causal mechanisms.

The authors was deeply grateful to Dr. Fabrizio Lanzafame, his colleague at the National Research Council (CNR), for teaching me public administration and for sharing both his theoretical knowledge and practical experience in the field.

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

[1.]

In EU procurement terminology, “procedure” typically refers to a procurement method (e.g. open procedure). In this paper, the term denotes a single tendering event (unit of analysis), consistent with the structure of the Italian MePa data set.

[2.]

In the Italian MePa, CPV in MePA refers to the mandatory, hierarchical eight-digit European codes used to uniquely classify goods and services, ensuring standardized descriptions in public tenders. It acts as a digital tag connecting company offerings to public demand.

[3.]

In a Poisson regression: log(E[Y|X])=β0+β1X1+β2X2++eit. Where E[Y|X] = expected count of the dependent variable and βi = coefficient for predictor Xi; the effect of a one-unit increase in Xi is given by % change in expected count = (e βi − 1) × 100.

[4.]

The validity of these instruments rests on two primary conditions: (i) relevance, since procedural norms and adoption rates within comparable peer groups strongly predict the likelihood of using RdO and (ii) exogeneity, as the leave-one-out construction ensures that each unit’s own contracting outcomes are excluded from the computation of the instruments, mitigating mechanical correlation between the instrument and the error term. All estimates are based on a cross-sectional design for 2024; therefore, identification relies on spatial rather than temporal variation.

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Table A1.

Variable measurement and operationalization matrix

VariableTypeDescriptionOperationalizationExpected signSource
n_contracts_definedDependent variableNumber of individual contracts awarded within a procurement procedure.Count variable measuring the total number of contracts defined in each procedureCONSIP
RdOIndependent variableIndicator of procedural competitiveness (request for offers).Dummy equals 1 = RdO (competitive procedure); 0 = TD (direct negotiation)+CONSIP
n_suppliers_w_contract_definedIndependent variableNumber of suppliers awarded at least one contract within the procurement procedure.Count variable capturing the number of participating suppliers awarded contracts+CONSIP
RdO × n_suppliersInteraction termInteraction between procedural competitiveness and supplier participation, testing whether participation effects are stronger under competitive procedures.Multiplicative interaction between RdO and the number of suppliers+Authors’ elaboration from CONSIP
n_PAControl variableNumber of public administrations involved in the procurement procedure. Reflects institutional coordination and demand aggregation.Count variable representing the number of participating contracting authorities+CONSIP
type_PAControl variableType of contracting authority conducting the procurement procedure (e.g. ministries, municipalities, universities, hospitals and research institutions.Categorical variable included as fixed effectsN/ACONSIP
type_MEPAControl variableType of procurement category within the MePa platform.Categorical variable: 1 = goods; 2 = servicesN/ACONSIP
Product category (CPV)Control variableProduct or service category according to the common procurement vocabulary classification.Categorical variable included as fixed effects to control for sector-specific procurement differencesN/ACONSIP
region_PAControl variableThe region where the contracting public administration is located. Controls for regional institutional differences.Regional fixed effectsN/ACONSIP
province_PAControl variableThe province where the contracting public administration is located. Captures local institutional heterogeneity.Provincial fixed effectsN/ACONSIP
region_supplierControl variableRegion where the awarded supplier is located. Controls for geographical market structure.Regional fixed effectsN/ACONSIP
yearControl variableYear in which the procurement procedure was completed.Dummy equals 2024N/ACONSIP
Source(s): Author’s elaboration on CONSIP data
Table A2.

Type of P.A. involved in e-procurement procedures

Type of public administrationFrequency%Cumul. %
Public utility companies and territorial service entities701.071.07
Hospital trusts, university hospitals, IRCCS and zoo prophylactic institutes3064.675.74
Local and provincial health authorities4306.5612.31
Chambers of commerce831.2713.57
Municipalities2053.1316.70
Ministries and fiscal agencies2,90644.3761.07
Universities and polytechnics2,55038.93100.00
Total6,550100.00
Source(s): Author’s elaboration on CONSIP data
Table A3.

Type of MePa category by goods and services

Product categoryFrequency%Cumulative
Database access services701.071.07
Photovoltaic accessories20.031.10
Needles and syringes10.021.11
Other medical devices2043.114.23
Antiseptics, disinfectants, chemicals, nondiagnostic reagents and technical gases1672.556.78
Network equipment – MePa goods721.107.88
Network equipment – MePa services390.608.47
Storage area network equipment – MePa goods290.448.92
Storage area network equipment – MePa services100.159.07
Electromedical equipment801.2210.29
Air conditioning equipment440.6710.96
Compact, rotating archives and shelving systems130.2011.16
Outdoor furniture90.1411.30
Laboratory, health care and postmortem furniture410.6311.92
Nursery and preschool furniture10.0211.94
Library furniture50.0812.02
Office furniture and accessories851.3013.31
University and community furniture250.3813.69
School furniture70.1113.80
Kitchen and tableware equipment240.3714.17
Road equipment and signage230.3514.52
Musical equipment110.1714.69
Detection, assistance, maintenance and repair equipment – MePa goods390.6015.28
Detection, assistance, maintenance and repair services – MePa services90.1415.42
Recreational and sports equipment180.2715.69
Audio, photo, video and lighting equipment230.3516.05
Incontinence aids20.0316.08
Technical aids for persons with disabilities30.0516.12
Meal vouchers70.1116.23
Stationery691.0517.28
Network fuel10.0217.30
Paper products260.4017.69
Transparent enclosures, frames and solar shading systems40.0617.76
Heating fuels210.3218.08
Copying and printing consumables460.7018.78
Personal protective equipment and safety equipment280.4319.21
Communication devices and systems250.3819.59
Orthopedic endoprostheses and osteosynthesis systems10.0219.60
Enterprise and specialized systems – MePa goods50.0819.68
Enterprise and specialized systems – MePa services190.2919.97
Pharmaceuticals1121.7121.68
Hardware supplies1352.0623.74
Qualified electronic signature services20.0323.77
Textile supplies230.3524.12
Photography, optics, audio and video – MePa goods390.6024.72
Photography, optics, audio and video – MePa services180.2724.99
Fuel generators, condensing boilers and related services20.0325.02
Management of competitive examination procedures110.1725.19
In vitro diagnostic medical devices (IVD)40.0625.25
Personal hygiene and care products40.0625.31
Heat pump systems for climate control and related services60.0925.40
Fire prevention systems330.5025.91
Electrical and special systems661.0126.92
Lifting systems (elevators)1021.5628.47
Thermo-hydraulic and air-conditioning systems510.7829.25
General clothing and accessories120.1829.44
ICT infrastructure – MePa goods250.3829.82
ICT infrastructure – MePa services741.1330.95
Digital interaction with users50.0831.02
Books and publications60.0931.11
Software licenses – MePa goods1382.1133.22
Software licenses – MePa services1322.0235.24
Lubricants and functional fluids10.0235.25
Machinery260.4035.65
Office machines – MePa goods300.4636.11
Office machines – MePa services320.4936.60
Marketing, communication, advertising, social media and market research1041.5938.18
Electrical materials250.3838.56
Construction materials and minerals240.3738.93
Boats and accessories, maintenance and repair – MePa goods210.3239.25
Boats and accessories, maintenance and repair – MePa services771.1840.43
Chauffeur-driven vehicle rental (excluding health-care use)1171.7942.21
Vehicle rental without driver60.0942.31
PCs, peripherals and accessories – MePa goods1562.3844.69
PCs, peripherals and accessories – MePa services250.3845.07
Small laboratory equipment and materials2974.5349.60
Small and large household appliances60.0949.69
Food products620.9550.64
Cemetery products30.0550.69
Cleaning products and equipment80.1250.81
Funeral products10.0250.82
Disposable products240.3751.19
Green maintenance and horticulture products420.6451.83
Waste collection products30.0551.88
Street cleaning and winter services10.0251.89
Personnel search and selection services80.1252.02
Environmental signage210.3252.34
Servers – MePa goods40.0652.40
Servers – MePa services70.1152.50
Cloud services160.2452.75
Insurance services580.8953.63
Commercial and collective catering services490.7554.38
Reception and concierge services90.1454.52
Event space setup services190.2954.81
Property administration services10.0254.82
Maintenance and repair of measuring and testing equipment470.7255.54
Maintenance and repair of electromedical equipment630.9656.50
Cemetery equipment maintenance services10.0256.52
Musical equipment maintenance services30.0556.56
Sports equipment maintenance services10.0256.58
Management system certification services20.0356.61
Energy performance certification (APE) services30.0556.66
Energy diagnostics services20.0356.69
Pest control services1111.6958.38
Internal logistics and warehousing services911.3959.77
Training services1902.9062.67
Archive management services140.2162.89
Nonhazardous special waste management services270.4163.30
Hazardous special waste management services270.4163.71
Laundry services310.4764.18
Furniture maintenance services70.1164.29
Green area maintenance services791.2165.50
Maintenance, technical assistance and management services360.5566.05
Real estate brokerage services40.0666.11
Environmental monitoring services661.0167.11
Monitoring and validation services for health care and research facilities10.0267.13
Print management, digitization and document management services50.0867.21
Building cleaning services210.3267.53
Air-duct sanitation services60.0967.62
Occupational health surveillance services430.6668.27
Drainage services110.1768.44
Printing and graphic services420.6469.08
Specialized support services2523.8572.93
Tele-assistance and tele-monitoring services20.0372.96
Telephony and connectivity services40.0673.02
Treasury and cash management services60.0973.11
Fire safety surveillance services30.0573.16
Active surveillance services210.3273.48
Nursing services10.0273.50
Legal and regulatory services30.0573.54
Postal collection and delivery services60.0973.63
Cultural heritage professional services210.3273.95
Architectural and related professional services1051.6075.56
Actuarial professional services190.2975.85
Labor consultancy services30.0575.89
Safety coordination professional services300.4676.35
Engineering consultancy services640.9877.33
Road engineering and cadastral services150.2377.56
IT and telecommunications engineering services10.0277.57
Civil and industrial engineering design services630.9678.53
Urban planning and landscape architecture services40.0678.60
BIM model verification services40.0678.66
Engineering design verification services230.3579.01
Construction supervision services50.0879.08
Tax and fiscal advisory services30.0579.13
Environmental, landscape and forestry services200.3179.44
Architectural restoration services10.0279.45
Seismic vulnerability assessment and structural monitoring services20.0379.48
Recreational, cultural, sports and event organization services1181.8081.28
Social services310.4781.76
Technical services in architecture, engineering and planning150.2381.98
Tourism, hospitality and travel organization services4937.5389.51
Catering services10.0289.53
Bar management services240.3789.89
Vending machine management services1752.6792.56
Translation and interpretation services130.2092.76
Transcription services10.0292.78
Cybersecurity – MePa goods50.0892.85
Cybersecurity – MePa services60.0992.95
Integrated and convergent systems – MePa goods30.0592.99
Integrated and convergent systems – MePa services10.0293.01
Housing solutions and logistics facilities80.1293.13
Temporary employment services90.1493.27
Storage systems – MePa goods20.0393.30
Surgical instruments and dental devices160.2493.54
ICT support and consultancy services771.1894.72
Calibration of measuring instruments120.1894.90
Thermo-hydraulic services40.0694.96
Laboratory tests (excluding execution and certification)460.7095.66
Laboratory tests (including execution and certification)30.0595.71
Health-care vehicles20.0395.74
Vehicle equipment, accessories and maintenance – MePa services961.4797.21
Vehicle equipment, accessories and maintenance – MePa goods681.0498.24
Aircraft equipment and maintenance – MePa goods60.0998.34
Aircraft equipment and maintenance – MePa services80.1298.46
Electrical system inspections190.2998.75
Elevator inspections100.1598.90
Periodic inspection of work equipment40.0698.96
Glassware and disposables180.2799.24
Video surveillance, access control and intrusion systems – MePa goods200.3199.54
Video surveillance, access control and intrusion systems – MePa services300.46100.00
Total6,550100.00
Source(s): Author’s elaboration on CONSIP data
Table A4.

Descriptive statistics

VariableObs.MeanSDMin.Max.
Number of contracts6,5501.8353.4041102
RdO6,5500.4490.49701
Number of suppliers6,5501.4121.489149
Number of P.A.6,5501.0680.30916
Type MePa6,5501.6120.48712
Type P.A.6,5505.8951.43717
Product category (CPV)6,55087.46751.61181
Province P.A.6,55058.15530.0661109
Region P.A.6,5509.975.053120
Region supplier6,55019.1299.317137
Source(s): Author’s elaboration
Table A5.

Pairwise correlation matrix

Variables(1)(2)(3)(4)
(1) n_contracts1.000
(2) RdO−0.0371.000
(3) n_suppliers0.086−0.0331.000
(4) n_PA0.179−0.0250.4011.000
Source(s): Author’s elaboration
Table A6.

NBREG estimated results

(7)(8)(9)
NBREGNBREGNBREG
Variablesn_contractsn_contractsn_contracts
RdO0.140** (0.0550)0.0764** (0.0388)0.0616 (0.0248)
n_suppliers0.253*** (0.0142)0.250*** (0.0164)
RdO × n_suppliers0.0154** (0.0035)
n_PA0.827*** (0.0416)0.205*** (0.0432)0.206*** (0.0403)
Constant−0.475*** (0.127)−0.231*** (0.0860)−0.225** (0.0944)
Type PAYesYesYes
Type MePaYesYesYes
Product category (CPV)YesYesYes
Region PAYesYesYes
Province PAYesYesYes
Region supplierNoYesYes
Observations6,5506,5506,550
lnα−1.478*** (0.0992)−2.520*** (0.225)−2.519*** (0.224)
Note(s):

Robust standard errors in parentheses ***p < 0.01, **p < 0.05 and *p < 0.1

Table A7.

IV estimated results

(10)(11)(12)
Baseline IVIV + controlsIV + controls + FE
Variablesn_contractsn_contractsn_contracts
RdO0.424*** (0.108)0.160*** (0.045)0.248** (0.125)
n_suppliers2.029*** (0.137)2.006*** (0.133)
RdO × n_suppliers0.377* (0.201)
n_PA−0.860*** (0.243)−0.838*** (0.235)
Constant2.091*** (0.077)−0.037 (0.165)−0.275 (0.199)
Type PANoYesYes
Type MePaNoYesYes
Product category (CPV)NoYesYes
Region PANoNoYes
Province PANoNoYes
Region supplierNoNoYes
Observations6,5506,5506,550
R-squared0.0010.7370.747
Note(s):

Robust standard errors in parentheses ***p < 0.01, **p < 0.05 and *p < 0.1

To mitigate potential endogeneity in the adoption of the RdO procedure, we construct three instrumental variables that capture exogenous variation in procedural norms across comparable public administrations. Each instrument is based on a leave-one-out formulation that excludes the observation itself, thereby preventing mechanical correlation between the instrument and the error term.

The first instrument, ZiRC-LOO, measures the share of RdO procedures among other public administrations operating within the same region–category cell:

where Dj indicates whether the observation j used RdO, rjthe region and cjthe MePa category. This variable captures localized procedural norms that arise from shared institutional environments and regional procurement practices.

The second instrument, ZiCAT-OTHREG, exploits variation in the average adoption rate of RdO within the same category but in other regions, thus isolating cross-regional differences in procedural behavior:

By excluding the local region, this measure is intended to reduce the role of region-specific shocks or governance characteristics that may be associated with both procedural choice and contracting outcomes.

Finally, the third instrument, ZiPTC-LOO, represents the leave-one-out share of RdO procedures among public administrations of the same institutional type (e.g. municipalities, ministries and universities) within the same category:

This variable captures procedural norms within similar institutional environments that face comparable legal and operational constraints. Together, these instruments exploit spatial and institutional heterogeneity in peer procedural behavior to predict an individual administration’s likelihood of adopting RdO. Because the analysis is cross-sectional, identification relies on cross-sectional variation in peer norms rather than on temporal dynamics, ensuring that each instrument captures exogenous behavioral patterns across comparable administrative contexts.

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