Driving change? A systematic exploration of private equity and innovation Open Access

The reach of private equity (PE) has widened at breakneck speed in recent years. By 2023 funds amounted to USD 3.9 trillion in undeployed capital, representing possibly the largest war chest in the industry's history (Bain and Company, 2024). A growing share of such resources flow into technology-intensive buyouts, roll ups and growth deals to give PE managers direct influence over firms' research and development portfolios. Because innovation is a primary driver of long-term competitiveness, productivity and societal progress, the stakes of understanding this influence are relatively high. Yet, coherent view of whether that influence ultimately helps or hinders innovation is still lacking. Literature reviews are increasingly recognized as valuable, independent contributions, thereby advancing scholarly debates by synthesizing fragmented evidence, identifying contradictions and setting out future research agendas (Kraus et al., 2022). In a context of PE and innovation, where findings are dispersed across finance, entrepreneurship and management research, a systematic review provides a necessary consolidation and theory-building platform.

Such uncertainty is easy to understand. PE's hallmark tools in for example, high leverage, concentrated ownership, tight monitoring and aggressive cost control could plausibly tilt R&D in two opposing directions. From the first perspective, PE might free managers from quarterly earnings pressure and supply capital and networks needed for exploratory projects (Brander et al., 2014; Dushnitsky and Lenox, 2006). Alternately, servicing debt or meeting short exit deadlines may pressure acquirers to curtail investment in long-term, exploratory R&D (Amess et al., 2016; Lerner et al., 2011). As policymakers assess relatively tougher disclosure rules, competition policy and sector-specific safeguards, they increasingly require sharper evidence regarding how PE reshapes inventive activity and technological progress.

Despite increasing scholarly and policy interest, no systematic effort has yet been conducted to consolidate fragmentary evidence connecting PE ownership and innovation. Prior reviews, such as Fels et al. (2021), Xiao et al. (2023), remain either somewhat confined to venture capital or treat innovation as a residual performance outcome rather than a governance-dependent process. Work grounded in intellectual property management, as in for example Takey and Carvalho (2016) focusing on the somewhat obscure forefront of innovation rarely consider ownership forms. Other recent IP-focused syntheses tend to note that ownership structures and financing alternatives can shape innovation and IP choices, yet they tend not to systematically examine PE ownership and its characteristic levers. These are typically present in the form of leverage measurement, monitoring of intensity and exit horizons as mechanisms reconfiguring innovation processes. Meanwhile, rapid diversification of PE models, principally in growth equity, infrastructure, long-hold vehicles and tech-oriented buyouts, has transformed mechanisms through which ownership structure interacts with firm-level R&D, talent and commercialization choices. The field has therefore outgrown earlier conceptual boundaries: hence what is currently needed is a review treating PE not merely as “capital,” but as an evolving governance institution whereby intrinsic tools can be used to reconfigure innovation inputs, processes and outputs in systematically different forms.

By deriving inspiration from methodological transparency and topical synthesis exemplified by Grimaldi et al. (2017) in the open innovation domain, this paper introduces what may be the first systematic and cross-disciplinary review of how PE ownership affects innovation. Its originality lies in firstly unifying previously disconnected literatures from finance, innovation management and entrepreneurship. Secondly, it reveals latent theoretical pathways that explain variation in innovation outcomes across transaction types and contexts. Finally, a new integrative framework positioning PE as a governance institution within the broader innovation system is advanced. By following this process, this study reframes the PE–innovation nexus from a narrow debate concerning “short-termism versus value creation” into a foundational question regarding how ownership and governance architectures may shape the direction, intensity and timing of inventive effort.

In empirical and methodological terms, this review synthesizes 1,110 peer-reviewed articles published between 1999 and 2023. By using a six-stage protocol combining bibliometric mapping, recursive co-citation clustering and inductive content analysis, a panoramic scan of the field is used as background for a close reading of the most relevant high-quality focal papers. This design integrates breadth and depth, allowing for both mapping the intellectual structure of the domain and interpreting the mechanisms proposed and tested in the most influential contributions.

The review makes three contributions. Firstly, it clarifies the average direction and magnitude of PE's innovation effect. Most econometric evidence points to neutral to positive outcomes in the form of higher patent counts, more focused R&D and faster commercialization, yet with substantial heterogeneity by criterion of deal type, leverage and institutional context (Amess et al., 2016; Lerner et al., 2011). Secondly, it reveals blind spots that currently constrain inference and comparability: for instance, more than 80% of studies rely on US or Western European data and treat patent counts as a single proxy for innovation, while qualitative work, richer outcome measures and coverage of emerging markets remain relatively scarce. Thirdly, it distills a forward research agenda linking PE governance mechanisms to stages of the innovation process and encourages calls for mixed-methods designs capable of tracing causal chains in real time.

The remainder of the paper proceeds as follows. Section 2 details the sampling strategy used and analytical methods. Section 3 summarizes descriptive trends in the dataset. Section 4 presents co-citation clusters and section 5 unpacks the content analysis. Section 6 discusses implications for scholars, practitioners and regulators and outlines possible future research paths. By combining insights from finance, strategy and innovation studies, the review offers probably the first unified framework for understanding how PE ownership shapes corporate inventive effort and, by extension, long-term economic dynamism.

This study follows a multi-stage methodology inspired by Tranfield et al. (2003) and Anand and Dumazert (2022) and is aligned with best-practice guidelines for literature reviews as independent scholarly contributions (Kraus et al., 2022). The approach combines broad bibliometric mapping with recursive co-citation clustering and qualitative content analysis. Moreover, the process ensures both wide coverage and analytical depth, through using an initial pool of over 1,100 articles which is narrowed to a focused set of high-quality studies.

To capture the breadth of research linking PE and innovation, two separate searches in the Scopus database for peer-reviewed English-language journal articles published between 1999 and 2024 were conducted. The first search used the string:

This process returned 125 articles. Recognizing that many PE-related studies are subsumed under venture capital labels (see  Appendix Table A2 for a classification of private equity asset categories), a second string search was used:

This extended the corpus to over 1000 additional papers. Articles were classified by use of Scimago Journal rankings (Q1 to Q4) to prioritize quality of articles. All Q1-ranked results, comprising 50 from the PE-focused search and 470 from the VC-focused one, were screened to identify 32 articles most relevant to the innovation-focused research question. We also made sure that the journals are ABS ranked and amended the final selection with highly fitting papers from ABS ranked journals.

The full dataset of 1110 articles was analyzed to assess trends over time, journal rankings, regional focus and methodological approaches. This phase mapped the landscape of research activity, with special attention paid to the distribution of high-quality papers and the predominance of econometric methods.

Q1 articles explicitly referencing “private equity” formed the input set for co-citation analysis. VOSviewer, a bibliometric visualization tool was used to identify thematic clusters and intellectual linkages (van Eck and Waltman, 2010). We conducted co-citation analysis in VOSviewer using cited references as the unit of analysis and full counting. Applying a minimum citation threshold of 3 yielded a network of 52 cited references, which formed the basis for the clustering and subsequent interpretation. As a robustness check, we varied the citation threshold slightly and found that the core cluster structure remained substantively stable. The clustering algorithm grouped co-cited works, including some not in the original search pool, into five major themes. Thus, the final article count for the RCCA output was 52. This process helped to discern surface latent structures within the high-impact segment of the literature corpus.

To move from a broad mapping of the field to a mechanism-level synthesis, we constructed a focal subset for close reading. Importantly, this subset was not mechanically sampled from the RCCA clusters. Instead, after assembling the full corpus, we screened titles and abstracts to identify studies that (1) explicitly examine a relationship between PE (as owner/investor) and innovation (as outcome, process or strategic activity) and (2) provide sufficient conceptual or empirical detail to inform the pathway analysis. Studies where innovation appeared only as a peripheral performance indicator were excluded. The resulting set was then refined through full-text checks to ensure clear operationalization of PE and innovation constructs and adequate methodological reporting. We targeted a focal set of 32 papers because it provides the depth required for systematic qualitative coding while remaining feasible for multi-author analysis; beyond this point, additional candidate papers largely reiterated already-identified mechanisms, indicating thematic saturation. The RCCA results informed the interpretation of how focal studies relate to broader intellectual streams, but relevance to the PE–innovation nexus was the primary inclusion criterion for the qualitative synthesis. Qualitative content analysis was conducted by using inductive coding as outlined by Mayring (2004). This involved identifying both manifest content (for instance statistical findings) and latent themes (usually mechanisms of innovation influence) in line with principles outlined by Duriau et al. (2007). Articles were categorized by criterion of data source, method and innovation metrics, with patent activity and R&D expenditure emerging as the most common proxies.

This staged approach proceeding from database-level mapping to thematic clustering and finally to in-depth qualitative analysis ensured a systematic and replicable synthesis of the evidence based on PE and innovation (see Figure 1). It also enabled triangulation across methods and identified where gaps remain in the existing literature.

Our design prioritizes transparency and replicability, but it also inherits standard review biases. Reliance on Scopus and English-language peer-reviewed journals may under-represent practitioner and policy research that is influential in this field (sampling bias). A further limitation concerns context dependence. The empirical base is disproportionately drawn from United States and Western European settings, where PE operates within relatively mature capital markets, established IP regimes, and specific labor and corporate governance institutions. As a result, the mechanisms we synthesize – and the predominantly neutral-to-positive effects reported – may not generalize to contexts with different legal enforcement, financial development, state involvement or innovation systems. We therefore interpret our conclusions as contingent and encourage future work to test the framework across regions and institutional environments. In addition, patent-based measures dominate the empirical record, which can understate innovation in sectors where appropriation relies on secrecy, software releases or complementary assets. Finally, co-citation techniques structurally privilege older, highly cited references; we therefore interpret the cluster structure as the field's codified intellectual backbone, not as a complete representation of emerging work.

Bibliometric analysis of 1110 peer-reviewed articles provided a comprehensive overview of academic discourse on the relationship between PE, venture capital and innovation. Accordingly, this section outlines trends in publication output, journal quality, methodological preferences, regional coverage and data characteristics. The aim is therefore to present the current state of the literature and identify gaps framing ensuing in-depth analyses.

Figure 2 illustrates annual publication counts for PE and innovation studies. Between 1999 and 2008, annual output remained at a somewhat modest level. A steady increase occurred in the early 2010s, followed by a notable acceleration around 2015. This trend peaked in 2023, indicating heightened interest in PE as a vehicle for innovation, particularly in a context of digital transformation and the scaling of mature technology firms. The 2008–2010 slowdown in output aligns with broader economic uncertainty experienced during the global financial crisis of that period. The subsequent rebound is linked to the resurgence of deal-making activity and increased data availability on PE transactions and innovation outcomes.

Figure 3 tracks a parallel trajectory for venture capital (VC)-focused innovation research. The volume of VC studies consistently outpaces that of PE, with major growth phases beginning from 2008 and plateauing in around 2020. VC's longstanding association with early-stage innovation, particularly in technological sectors, likely accounts for this increased research volume. Nevertheless, PE-related research has begun to catch up in this regard, particularly in the context of growth equity and sector-specialized investments.

Table 1 summarizes the journal quality distribution of both the initial 1,110 articles and the final selected sample. Of the total sample, 520 articles (47%) were published in Q1-ranked journals, affirming a substantial base of high-quality literature. VC articles are more heavily represented in top-tier publications, but PE papers also indicate a strong presence, particularly in journals focused on finance, entrepreneurship and innovation policy. For the final sample of 32 articles selected for content analysis, 22 were PE-focused and 8 were VC-focused, thereby demonstrating a deliberate effort to bring PE to the forefront in the innovation debate.

Table 2 outlines the time distribution of publications in both the initial and final samples. It indicates that a majority of papers both in terms of volume and quality were published after 2015. Between 2015 and 2019, research activity attained a relatively high point, with over 27% of all Q1 articles published during this interval. This trend suggests a shift in academic priorities, coinciding with increasing financial power of PE firms and growing scrutiny of their societal impact. The upward trend in recent years also indicates the field's responsiveness to real-world developments, including evolving ownership structures and the rise of long-hold funds.

Table 3 presents the distribution of the final 32 articles across journals. The most frequent publication outlets include the Journal of Business Venturing, Research Policy and Venture Capital, each contributing three articles. Other prominent outlets include the Journal of Corporate Finance, Industrial and Corporate Change, and European Financial Management. Diversity of journals illustrates the multidisciplinary nature of the research field, by drawing from innovation, finance, strategic management and entrepreneurship studies.

The geographical distribution of data sources is illustrated in Table 4. Most of the analyzed studies draw upon data from firms based in North America and Europe, with 37% focusing on the United States and 40% on countries such as Germany, France, Italy and the UK East Asia and the Pacific, represented primarily by China and Australia, account for four studies. The rest of the world (consisting of Latin America, Africa, South Asia and the Middle East) is completely absent from the final sample. This skew reflects limitations in data availability, differences in market maturity and perhaps a degree of academic path dependency in focusing on well-established financial ecosystems.

The concentration of studies in developed economies highlights a significant deficiency in the literature. While this focus partly mirrors the distribution of global PE activity, it also overlooks emerging markets where PE's role in innovation may follow different trajectories due to institutional, cultural or regulatory differences. Comparative analyses across diverse institutional environments could therefore offer meaningful insights into how context shapes innovation outcomes.

Table 5 categorizes methodologies employed in the 32 articles selected for content analysis. The dominant approach is econometric modeling, used in 25 of the papers. These models are often applied to large firm-level panel datasets and use statistical techniques such as difference-in-differences estimators, fixed effects models and propensity score matching to address endogeneity concerns and selection bias. Innovation is typically proxied by using patent data in counts and citations, R&D spending or hybrid metrics combining both of the foregoing forms. Patents serve as a common proxy due to their relative ease of standardization and quantifiability across firms and time.

Despite their strengths, patent-based proxies are not without limitations. Patents vary in value and strategic intent and may not fully reflect innovation in sectors such as services or business models where proprietary knowledge is somewhat less codified. Some studies attempt to mitigate this by distinguishing between patent quantity and patent quality, for example by using forward citations or by examining innovation efficiency through output-to-input ratios.

A relatively small subset of the literature employs qualitative or mixed methods. Two studies used interview-based data collection or case-study frameworks to explore mechanisms by which PE and VC investors influence innovation strategies and outcomes. These approaches provide somewhat richer detail on governance practices, managerial incentives and organizational culture, which are often difficult to capture in large-scale quantitative datasets. Nonetheless, such studies remain in a minority category and are underutilized despite their potential to analyze causal pathways behind statistical associations. Time periods investigated also demonstrated considerable variation in that the total time span ranged from 1978 to 2020; thus, on average 12.3 years of data was covered. The large majority (76%) of papers were based on time series analysis, whereas 14% used data focusing on one single year and 10% applied non-quantitative methodology.

Figure 4 illustrates the temporal coverage of datasets used in the selected articles. Most studies relied on data spanning from the late 1990s through to the mid-2010s, with relatively few incorporating post-2020 data. This lag reflects the time it takes for innovation outcomes, for instance patent filings or product introductions, to materialize following PE investment, as well as delays in public data reporting. As PE expands into new sectors such as healthtech and cleantech, future research will by implication need to incorporate more recent data and innovation proxies tailored to such contexts.

In summary, the descriptive statistics in this study highlight a growing but still uneven field. The literature is becoming more methodologically rigorous and topically focused, with increasing attention to PE's role in innovation. However, it remains geographically unevenly concentrated and overly reliant on econometric methods and patent data. These patterns illustrate the need for broader methodological pluralism and expanded coverage of under-represented regions and innovation metrics. The following sections build on this mapping process by analyzing thematic clusters and synthesizing core findings of the most relevant studies.

RCCA is a method employed to uncover thematic clusters and patterns within high-quality research articles. In this study, it is deployed by focusing on topics such as PE and innovation. By analyzing selected Q1-ranked articles, application of RCCA highlighted methodological approaches, regional focuses and thematic priorities, thereby offering a structured perspective for putative academic discussion. This targeted clustering approach revealed concentrated themes such as corporate governance, innovation strategies and financial mechanisms, thus enabling deeper understanding of the most influential studies in the field. The interconnectedness of the clusters is illustrated in Figure 5.

Red Cluster (1) – Strategic and systemic role of venture capital in innovation ecosystems. This cluster (19 publications) highlights how venture capital fosters innovation, addresses financing constraints and develops entrepreneurial ecosystems. In particular, VC resolves informational asymmetries, as outlined by Akerlof (1970), by employing staged financing and equity-linked compensation to align incentives (Sahlman, 1990). This is complemented by Sapienza et al. (1996) and Brander et al. (2002), to emphasize the value-added role of VC in terms of providing mentorship, strategic guidance and networking to drive firm performance and innovation outcomes.

The major contribution of VC to innovation outputs is well-documented. Kortum and Lerner (2000) in particular demonstrate that VC-backed firms lead in terms of patent activity, by significantly outperforming their R&D spending. Black and Gilson (1998) outline the use of initial public offerings (IPOs) by VCs as an exit mechanism, thereby incentivizing high-risk ventures to pursue groundbreaking innovation. The systemic role of VC in terms of building regional and industrial ecosystems is also demonstrated by Berger and Udell (1998) and by Gompers and Lerner (2001), through exploration of how VC networks may create spillovers to foster economic and technological growth. Sorenson and Stuart (2001) further examined the importance of syndication networks in terms of overcoming geographic barriers to capital allocation. Moreover, VC providers were found to possess a profound role in terms of enhancing managerial professionalism and governance, especially in European firms (Bottazzi et al., 2008; Cumming et al., 2007; Cumming and MacIntosh, 2006).

Public policy similarly plays a vital role in terms of amplifying the impact of VC. Lerner (2002) in particular demonstrates factors leading to VC downturn. Keuschnigg and Nielsen (2003) and Kanniainen and Keuschnigg (2003) also highlighted how tax incentives and efficient portfolio management may enhance quality of VC and resource allocation, improve startup survival rates and enhance innovation outcomes. Finally, the role of VC firms in corporate growth is emphasized by Baum and Silverman (2004), whereby it was found that VC-backed enterprises may acquire faster market growth and stronger positioning if supported by tailored strategic advice. Cressy et al. (2007) also demonstrate that VC-backed firms exhibit higher survival rates due to governance enhancements, while Sapienza et al. (1996) contrasted United States and European VC practices, with US firms providing deeper levels of strategic involvement.

Green cluster (2) – The transformative role of private equity in corporate governance and innovation. In this cluster consisting of 14 publications the extent to how PE reshapes firms by fostering entrepreneurial initiatives, driving efficiency improvements and supporting strategic growth is explored. Zahra (1995) specifically highlights a tendency for leveraged buyouts (LBOs) to significantly enhance corporate entrepreneurship activities such as product development and technology commercialization to ensure improved financial performance. Buyouts are also demonstrated to reduce bureaucratic constraints by enabling entrepreneurial managers to pursue innovation and strategic renewal (Wright et al., 2000, 2001). Kaplan and Stromberg (2009) document a trend of persistent operational improvement in PE-backed firms and attributes such outcomes to active governance and performance-based incentives.

Lichtenberg and Siegel (1990) further demonstrate productivity gains and innovation resulting from resource re-allocation. Furthermore, Amess et al. (2016) consolidate upon these findings by demonstrating that PE investments enhance both efficiency and innovation output in mature firms. Within the framework of the resource-based view formed by Barney (1991), it is argued that buyouts often unlock underutilized resources and capabilities within firms, thereby providing a foundation for developing sustainable competitive advantage. The role of PE in strategic growth is also emphasized by Lerner et al. (2011), by highlighting its impact on internationalization and market entry, often accompanied by managerial transformations. Similarly, Bertoni and Tykvová (2015) and Ughetto (2010) explored how PE funding supports R&D and technological advancements subsequently resulting in higher patent output. Moreover, Engel and Stiebale (2014) found that PE-backed firms achieve faster growth due to enhanced access to resources and strategic guidance. Cumming et al. (2007) further demonstrated that PE governance reduces agency costs, thereby enabling efficient capital allocation to innovative projects. Finally, evidence that PE-backed firms are more adaptable to regulatory environments and achieve productivity gains, especially in industries requiring governance reform is provided by (Lichtenberg and Siegel, 1990; Link et al., 2014).

Blue cluster (3) – The role of financing constraints and ownership structures in innovation dynamics. Content of this cluster consisting of 10 publications explores how financial mechanisms and ownership forms influence firm-level innovation. Acharya and Xu (2017) notably found that publicly listed firms in externally finance-dependent industries exhibited higher R&D expenditures and patent outputs, thus emphasizing the role of stock market access in terms of alleviating financing constraints for innovation. Aghion et al. (2013) further illustrated that institutional ownership is associated with higher innovation, as it tends to reduce managerial turnover risks through fostering environments conducive to long-term R&D efforts. It was also emphasized that both internal and external finance are crucial for R&D in high-tech firms, while cash flow changes significantly impact R&D spending, especially during financial cycles (Brown et al., 2009, 2012).

Ferreira et al. (2012) highlighted a trait of private ownership encouraging innovation due to greater tolerance for failure, whereas publicly listed firms driven by market expectations, tend to favor less risky projects. Jensen and Meckling (1976) and Myers and Majluf (1984) explored how agency costs and informational asymmetries influence funding decisions, by often encouraging firms to favor internal finance or debt, which can limit the ability to pursue innovative projects. Kaplan and Zingales (1997) challenged the use of investment-cash flow sensitivity as a measure of financial constraints, noting that firms with higher sensitivities are not necessarily more constrained, thereby complicating interpretations of financing effects on innovation. Kogan et al. (2017) introduced a new measure of the economic importance of innovation by using stock market reactions to patent grants to correlate with private value and thereby illustrate the impact of financial markets on innovation-driven growth.

Yellow cluster (4) – Econometric foundations of private equity analysis and innovation. This cluster (6 publications) emphasizes the use of advanced econometric techniques to understand PE and innovation dynamics. Heckman (1979) established methods to address sample selection bias crucial in PE studies where non-random data selection often skews results. Hausman et al. (1984) and Hall et al. (2005) extended these foundations to evaluate R&D outputs by using patent counts and citations to assess innovation quality and thus link it to firm valuation as a key measure for PE investors. Kaplan and Schoar (2005) further revealed persistent patterns in PE fund performance, while Lerner and Schoar (2005) demonstrated how strength of legal frameworks may influence contractual structures in PE investments. Popov et al. (2012) provide evidence on how venture capital influences innovation across Europe, by demonstrating that institutional quality plays a major role. Collectively, these studies highlight how econometric tools are vital for accurately modeling PE and innovation relationships, and incorporating legal, institutional and financial dimensions.

Purple cluster (5) – Venture capital's role in professionalizing innovative start-ups. This final cluster (three publications) illustrates how venture capital shapes both the internal development and market outcomes of high-tech start-ups, thereby emphasizing its role beyond funding. Bottazzi et al. (2002) illustrate that VC eases initial credit constraints for innovative European firms, while Hellmann and Puri (2000) demonstrate that VC-backed innovative firms experience faster market entry due to active mentoring and governance provided by VCs, in contrast to traditional financial institutions. Furthermore, Hellmann and Puri (2002) highlight the role of VC in professionalizing start-ups, including that of adopting formal human resource policies, stock option plans and replacing founders with external CEOs whenever necessary. VC thus acts as both a financial and developmental mechanism through transitioning start-ups from informal teams to professionally managed organizations to accelerate “time to market” period and to thus enhance strategic capabilities essential for sustained growth (Hellmann and Puri, 2000, 2002).

Content analysis was used to examine the selected articles in order to identify key themes and patterns in the relationship between PE and innovation. This section therefore enlarges upon how PE investments may influence innovation through mechanisms such as R&D funding, managerial restructuring and strategic guidance. Variations in the impact of PE across different transaction types, industries and regional contexts are also highlighted to thus provide a more nuanced understanding of its role in terms of fostering innovation. The following narrative outlines the content of themes arising from content analysis.

A total of 25 papers contained evidence regarding the effects of PE investment on innovation. The vast majority (22) found that PE stimulated innovation. Two papers found that there was no significant effect, and one paper featured conflicting results. Contrary to most articles, few of the selected papers revealed a negative or neutral impact of PE on innovation.

Recent empirical research in financial economics suggests that PE significantly contributes to innovation across various sectors. Allen (2012) for instance notes that innovative firms are more likely to secure venture capital, thereby accelerating product introductions and overall innovation. This finding is echoed by Bellucci et al. (2023) but only with respect to green patents. Amess et al. (2016) found that LBOs increase patenting activity, especially novel patents, thus indicating a shift toward more innovation-focused strategies. Bertoni et al. (2020) report that post-LBO management changes enhance innovation through increased absorptive capacity and R&D focus.

In terms of financing structures, Brown and Floros (2012) illustrate that private investments in public equity (PIPEs) provide crucial funding for R&D-intensive firms. Similarly, Corsi and Prencipe (2019) found that PE and VC stimulate entrepreneurial innovation in less-developed markets. Cumming and Johan (2016) document strong innovation outcomes among PE- and VC-backed firms in Australia, while Zhang et al. (2023) highlighted improved conditions for innovation following public listings. Dutta and Folta (2016) emphasized the trend for PE to also support innovation through strategic and managerial guidance.

PE also appears to act as a means of improving innovation efficiency. Guo and Jiang (2022) found that PE-backed firms in China produce more patents per unit of R&D investment than elsewhere. Feng and Rao (2022) also reported similar patterns, hence linking higher innovation output to efficient capital use. Recent evidence also supports this positive association at the level of PE market development. Using a large panel of Chinese non-listed firms, He et al. (2024) find that stronger regional PE market development is associated with higher patent-based innovation (both quantity and quality). Brown and Floros (2012) and Cirillo et al. (2019) attributed such outcomes to enhanced governance, while Colombo et al. (2016) pointed to aligned incentives and long-term value creation. Furthermore, Liu (2023) suggested that lower discount rates for innovative firms facilitate greater capital allocation toward R&D.

Beyond financial inputs, PE also strongly affects managerial innovation and strategic direction. Kamoto (2017) found that managerial buyouts (MBOs) supported by PE increased managerial innovation intensity. Ossorio (2024) moreover indicated that PE enhances R&D investment in family firms, thereby challenging assumptions of conservatism in innovation strategy. Several studies also highlighted somewhat broader effects. Schnitzer and Watzinger (2022) for instance documented knowledge spillovers from VC-backed firms via means of quality-weighted patents. Lerner et al. (2011) also reported that following PE investment, firms tend to focus on core technological strengths thus resulting in more impactful patents. Finally, Titman (2017) illustrates how PE ownership transformed the fracking industry by enabling innovation in small firms through capital infusion and strategic restructuring.

A minority of articles (3) revealed evidence that PE investment may not increase innovation in each and every scenario. Two of these papers nonetheless illustrated positive effects associated with PE investment but identified scenarios in which PE did not increase innovation. Even though Lerner et al. (2011) found that PE investment-assisted portfolio firms to positively link patenting activities to their core strengths, it was also noted that the overall level of patenting activity did not markedly change. Amess et al. (2016) found that PE-backed LBOs generally have a positive impact on firms' innovative output, particularly in terms of private-to-private transactions. However, this study also indicated that public-to-private transactions and divisional buyouts tend to reduce patenting performance, thus inferring a negative impact on innovation from such types of LBOs. The same authors also highlighted a short-term focus of PE investors. It was also argued that fund investors typically urge PE investors to focus on cost reduction in order to deliver short-term profits, thereby harming innovation activity of portfolio companies. Moreover, Popov et al. (2012) argued that PE investment, including venture capital, has a weak and inconsistent impact on innovation as measured by patenting activity, especially in Europe. Results of this study suggest that while venture capital may possess some positive effects on innovation in specific high-VC countries and under favorable regulatory environments, the overall impact on patenting is not uniformly statistically significant across a broader European sample range.

Innovative activity is generally captured through two categories of proxies. Firstly, patent or other intellectual property rights are predominantly used as the definition of innovation in 52% of the selected articles. By contrast 17% of the sample featured application of R&D expenditure as a proxy, while the remaining articles deployed either a hybrid definition or qualitative approach. Investigation of the relationship of proxy measures with an innovation definition, nonetheless, found no discernible correlation in the selected articles across any of the selected dimensions used in the analysis process. It was also found that current literature is heavily centered upon patents from a wide variety of intellectual property rights (IPR) as outlined in Table A1 in  Appendix. Six general categories of IPR in patents/utility models, trademarks, design rights, copyright geographical indication and plant variety rights generally possess different forms of representation across industries. National entities are also included.

PE fosters innovation not only by providing capital but also by transforming firms' strategic and operational capacities. Such support extends beyond funding to create conditions where innovation can thrive. A primary mechanism exists in the alleviation of financial constraints, thus enabling firms to pursue high-risk, long-term R&D projects which might otherwise remain unviable (Brown and Floros, 2012). This is especially important in capital-intensive industries where innovation cycles are long.

In addition to financing, PE investors often contribute managerial expertise, strategic guidance and performance-based incentives, aligning executive goals with innovation-oriented outcomes (Lerner et al., 2011). Such a governance structure tends to foster a culture whereby R&D is prioritized and rewarded. Operational restructuring acts as another key strategic lever. By refocusing firms on core competencies and streamlining non-essential functions, PE-backed firms can channel resources into high-impact innovation (Amess et al., 2016). This often enhances competitiveness by driving superior technological advancements.

PE firms also expand access to strategic networks, new markets and capital sources, thus accelerating the commercialization of innovation. Such network effects can catalyze wider innovation ecosystems and enable knowledge spillovers extending beyond individual firms (Schnitzer and Watzinger, 2022). By such means, PE helps to amplify the reach of innovation across industries and contributes to broader economic progress.

Government intervention, particularly through programs such as the Australian Innovation Investment Fund (IIF), plays a crucial role in terms of shaping the innovation-generating capacity of PE investors. The IIF program, established in 1997, created a partnership between the government and private venture capitalists and was designed to overcome capital and management constraints typically hindering the development of new technology companies. By partnering with the private sector, governments may thus effectively channel resources into areas which might otherwise remain underfunded due to perceived risks involved in early-stage and high-tech investments.

The IIF program in particular has been instrumental in significantly increasing the likelihood of investments in seed-stage and early-stage companies, particularly in high-tech industries. Early-stage financing is often scarce due to high risks associated with such investments, which are nonetheless crucial in terms of driving innovation. Moreover, the IIF program was designed to encourage PE investors to assume such risks by providing them with additional support and resources. This not only served to enhance the availability of capital for innovative ventures but also fostered an environment conducive to technological advancement (Cumming, 2007). Such initiatives have positively impacted upon research and development activities, patent filings, market capitalization and overall economic prosperity. In the case of the IIF program, the highest increase in rates of innovation was observed in companies which received both VC and governmental funding (Cumming and Johan, 2016).

Complementary evidence also shows why government policy toward equity markets matters for innovation outcomes. Using EU SAFE survey data and comparing eight funding sources, Santos et al. (2024) find that equity financing – conceptualized as PE in exchange for ownership – exhibits a particularly strong positive association with firms' innovation outcomes relative to other financing instruments. This suggests that government measures that facilitate access to equity (e.g. equity-friendly regulation, co-investment programs and mechanisms that reduce information frictions for investors) can indirectly support innovative activity among constrained firms.

By building on the mechanism-based framework developed in this review, this section translates the synthesized evidence into implications for research, managerial practice and public policy and clarifies how different PE governance configurations can shape innovation processes and outcomes. Identified pathways are also used to derive a focused agenda for future research.

This review reframes PE as a multi-mechanism governance institution within innovation systems rather than a homogeneous “financial owner.” Across the literature spectrum, five pathways in the form of capital reallocation, strategic refocusing, managerial professionalization, network leverage and commercialization acceleration jointly explain why observed innovation effects frequently produce neutral-to-positive outcomes on average. However, this aspect is highly contingent on deal and context characteristics and has two immediate implications for research.

Firstly, mechanism-centric theorizing should replace “sign” debates in the form of PE “helps vs harms”. Future studies may therefore use the five-pathway model as an organizing device to specify which mechanisms are activated in which PE settings. This may take place in for example, growth equity vs LBOs, platform roll-ups vs carve-out or long-hold vs short-horizon fund and specify how these mechanisms map onto different stages of the innovation process in terms of search, selection, development, appropriation and scaling. Hence, the unit of analysis is shifted from “PE ownership” to deal design and governance configuration, thereby aligning causal claims with plausible channels.

Secondly, researchers should be able to treat the PE–innovation relationship as multi-faceted and potentially nonlinear, wherein mediation, moderation and even reverse causality are plausible. In the spirit of Grimaldi et al.’s (2017) guidance on complex relationships and the value of moderation/mediation and qualitative inquiry, the field would benefit from designs that explicitly test mediators in changes in R&D portfolio composition, hiring of innovation leadership and alliance formation. This also applies to moderators in leverage, technological regime, appropriability, labor market tightness, institutional quality and finally to boundary conditions such sectors with long development cycles, principally life sciences.

Methodologically, the evidence base remains constrained firstly by heavy reliance on patents as the main innovation proxy and subsequently by identification challenges stemming from selection for PE investment. The literature indicates no clear decline in patenting following buyouts, but it also illustrates the limits of single-measure inference and the need for richer outcomes and mechanisms. Future research should therefore expand to focus on innovation quality, novelty and diffusion through examining citations, generality, text-based novelty, process metrics in for example time-to-market and pipeline progression and human-capital channels in terms of inventor mobility and team recomposition. The field would also require more mixed-method and multi-source strategies, including combining patent data, product launches, clinical pipelines, alliance databases and interview-based process tracing to move from producing correlations to deriving credible mechanism tests.

The key actionable insight for PE general partners and portfolio leadership teams is that innovation outcomes are not driven by “PE ownership” per se but by how PE governance levers are deployed across the five pathways as outlined forthwith. Firstly, with regard to capital reallocation, evidence suggests innovation is most likely to be preserved or strengthened when PE reallocates capital toward projects with clear strategic logic in terms of capability fit, technological adjacency and platform synergies rather than applying uniform cost-cutting procedures. In essence, this pathway supports establishing an explicit innovation investment case at deal entry in terms of approving or halting funding with accompanying reasoning paired with stage-gated governance rather than blunt budgetary compression.

The second pathway deals with strategic refocusing in that when PE narrows product/market scope, it can increase innovation productivity, yet it can also crowd out exploration. Managers can use such a framework as a diagnostic tool to balance refocusing with “option value” spending by maintaining a thin pipeline of longer-term horizon bets. Thirdly, with regard to managerial professionalization, several studies point to the centrality of management upgrading and formalization. In practical terms this implies that operational value-creation plans should treat innovation as an organizational capability in the form of roles, incentives and routines and not only as an output metric.

Fourthly, by dealing with network leverage, the ecosystems of PE in industry experts, partner firms, professional services and co-investors can accelerate access to customers, suppliers and complementary technologies. A concrete implication derived from this aspect is to build a deliberate “innovation network map” following closure in terms of who provides technical knowledge, market access and scale-up resources) rather than treating networks as incidental. Finally, in terms of the fifth pathway of commercialization acceleration, the emphasis of PE on scaling can reduce cycle time and improve commercialization discipline, especially when paired with customer validation and product management capabilities. The managerial implication is to measure commercialization explicitly through for example conversion from R&D to revenue and avoid using patent counts alone as an innovation key performance indicator (KPI).

Findings of this study also have implications for policy in that PE is increasingly embedded in sectors such as healthcare, energy transition, digital infrastructure possessing high societal salience. A further implication is not that PE is uniformly beneficial or harmful, but that policy should target conditions under which specific mechanisms are likely to tilt innovation from short-horizon extraction to long-horizon capability building.

Firstly, innovation policy increasingly emphasizes private financing and “de-risking” strategies to stimulate technological progress. However, the design of such policies depends on understanding how different financiers shape innovation behavior. Recent EU policy discussions explicitly highlight the role of private financing in innovation and the importance of co-financing/de-risking approaches. The framework produced in this study should thus assist policymakers in differentiating between financing forms of VC, growth equity, buyout PE and anticipating different governance effects on innovation inputs in terms of (R&D), capability building processes and diffusion and commercialization outputs.

Secondly, competition and market-structure concerns are relevant in that acquisitions may dampen innovative activity in some settings. OECD evidence on acquisitions made by incumbent firms and start-up innovation for example, reports post-acquisition declines in start-up patenting without a compensating rise at the acquirer level, thus raising the possibility that some deals reduce innovation rather than enhance it (Berger et al., 2025). This suggests a targeted policy implication whereby PE roll-ups or strategic acquisitions occur in innovation-intensive markets. Moreover, oversight should be attentive not only to price effects but also to innovation effects in pipeline continuation, R&D staffing and post–deal patenting/launch trajectories.

Thirdly, the most defensible implication from this study for society as a whole is that of a “governance design” message. This may occur when PE governance supports professionalization, network access and disciplined scaling, and when innovation can translate faster into products and services through potentially improving quality of life in for example the diffusion of medical or green technologies. Nonetheless, wherever leverage, short exit horizons or aggressive refocusing dominate, the prime social risk is that of underinvestment in long-cycle innovation and reduced technological variety. The contingency framework in this study therefore offers a basis for evidence-informed public debate to avoid unproductive discourse in terms of whether “PE is good or bad” and instead focuses attention on observable policy levers including deal structure, time horizon, sectoral factors and institutional protection.

By building on the Grimaldi et al. (2017) approach of deriving future research directions from the review's thematic model, five research lines aligned with the identified pathways are outlined.

Several research directions appear especially promising on the basis of outcomes derived from the review. An initial priority is to assess the joint role of capital reallocation and time horizons in terms of how leverage, covenant pressure and fund life-cycle incentives shape a notional balance between exploration and exploitation within portfolio firms. While prior research work has resulted in important progress by using patenting as a tractable indicator of long-run innovative activity, patent counts remain an incomplete proxy for the quality and direction of innovation. Future studies could more explicitly test whether buyouts alter innovation novelty, impact and diffusion, through for example use of citation-weighted or text-based measures rather than volume in isolation.

A closely related strand of interest lies in strategic refocusing and technological variety. While the literature corpus suggests that PE can increase innovative efficiency by narrowing scope, refocusing may however also reduce technological breadth and option value. Future research could therefore examine when portfolio recomposition, through divestitures, add-ons, carve-outs and product-line pruning translates into sharper innovation direction and higher productivity. It may also examine when instead it compresses variety in ways that are costly over the long term.

Thirdly, greater precision is needed in relation to managerial professionalization as an innovation mechanism. It remains unclear which changes matter most for inventive performance and under what set of environmental conditions in the form of leadership replacement, incentive redesign, tighter project governance or the formalization of product-development routines. In this regard, qualitative and mixed-method designs are particularly valuable, in that they can trace the timing and sequencing of organizational changes and connect them to measurable shifts in R&D behavior and outputs.

Fourthly, the “network leverage” pathway invites research treating PE not only as an owner but also as an ecosystem actor. A useful subsequent step would be to examine how PE networks change access to complementary assets in customers, suppliers, specialist talent or external knowledge partners and to discern whether such connections raise the probability that inventions reach markets. This suggests opportunities for network-analytic approaches and matched datasets linking deal teams and board appointments to alliance formation, inventor mobility and commercialization outcomes.

Finally, research on commercialization acceleration would benefit from engaging more explicitly with societal endpoints. A quicker route to market under PE may support diffusion and welfare gains in some settings, but it could also result in faster monetization without broader access or long-horizon capability building. Linking firm-level changes to outcomes such as affordability, sustainability or consumer impact would thus strengthen the “impact upon society” dimension and become more directly aligned with contemporary policy debates on how private capital shapes innovation trajectories. Recent policy work at a pan-European level for instance, explicitly discusses the role of public instruments in “de-risking” and crowding in private finance for innovation. This aspect also serves to highlight the relevance of understanding which governance configurations support long-term technological progress.

By viewing insights from all five pathways, the research field should initially prioritize better identification strategies in natural experiments, IV designs grounded in capital supply shocks and matched-sample approaches with sensitivity analysis. Secondly, the same approach applies to broader geographical entities beyond US/Western Europe, and the application of richer innovation measures. Finally, replication across databases and careful transparency in use of subjective coding choices should remain standard practice in systematic reviews.

This review synthesizes more than two decades of research in order to clarify how PE ownership influences firm-level innovation. Econometric evidence across the empirical corpus points to a predominantly neutral-to-positive relationship between PE investment and innovative output, particularly in terms of patenting, R&D efficiency and commercialization speed. Studies such as those of Lerner et al. (2011) and Amess et al. (2016) illustrate that PE-backed firms often redirect resources toward core technological areas, thereby achieving more focused and commercially oriented innovation. Similarly, Ughetto (2010) and Cumming (2007) demonstrate that governance restructuring and incentive alignment under PE ownership tends to enhance innovation efficiency and absorptive capacity. However, effects are not uniform in that deal type, leverage intensity and institutional contexts shape outcomes significantly, with public-to-private buyouts and highly leveraged transactions sometimes constraining exploratory R&D. Through being positioned at the intersection of agency theory, the resource-based view and innovation systems theory, this review consolidates fragmented findings into a coherent perspective. Principally, PE acts as both a financial and governance mechanism that can enable or inhibit innovation depending on how its organizational levers interact with firm capabilities and contextual conditions.

Through building on this evidence, the review develops an integrative framework to explain how PE influences innovation through distinct but interlinked mechanisms. Rather than viewing PE merely as a financial intermediary, the framework conceptualizes it as a multi-mechanism governance institution to reshape firms' innovation trajectories via five pathways: (1) Financial reallocation, emphasizing infusion of capital and alleviation of liquidity constraints limiting R&D investment (Brown and Floros, 2012). (2) Strategic refocusing, focusing on streamlining portfolios toward core technological strengths and divesting non-core activities (Lerner et al., 2011). (3) Managerial professionalization demonstrating enhancement of innovation incentives through performance-based compensation and tighter monitoring (Cumming, 2007). (4) Network leverage illustrating connectivity of portfolio firms to new partners, markets and ecosystems to accelerate knowledge diffusion and commercialization (Schnitzer and Watzinger, 2022). (5) Temporal acceleration highlighting compressing innovation timelines through exit-oriented discipline and thereby emphasizing rapid translation of R&D into marketable outcomes (Titman, 2017). All five pathways are mediated by governance mechanisms in ownership concentration, active monitoring and board involvement and are moderated by contextual factors such as deal type, leverage and institutional quality.

Figure 6 visualizes the integrative model formed in this review. Contextual conditions in particular shape how governance mechanisms activate the five pathways, which in turn generate varying innovation outcomes. The framework thus links financial economics, strategic management and innovation theory, therefore providing a structured lens through which to understand when and why PE fosters or constrains technological progress.

This review advances theory by reframing PE as a multi-mechanism institutional actor within corporate innovation systems. Whereas prior research has largely assessed isolated relationships such as financial constraints and innovation (Brown et al., 2012) or governance restructuring and efficiency gains (Cumming, 2007), the framework developed here integrates these strands into a cohesive model linking PE governance mechanisms to specific stages of the innovation process. Firstly, it extends agency theory by illustrating that PE ownership affects not only managerial discipline and cost efficiency but also the direction and intensity of inventive effort. The use of incentive alignment, monitoring and performance-based compensation converts agency mechanisms into channels for innovation rather than mere control (Lerner et al., 2011).

Secondly, it contributes to development of the resource-based view by identifying how PE restructures and redeploys underutilized resources and therefore unlocking firms' dynamic capabilities to pursue technological renewal (Barney, 1991; Bertoni et al., 2020). PE thus acts as a catalyst to transform financial capital into innovative capacity through strategic and managerial reconfiguration. Thirdly, by incorporating contextual moderators such as deal type, leverage and institutional quality the framework introduces a contingency perspective to connect financial economics with innovation systems theory (Aghion et al., 2013). It specifically posits that PE's innovation impact is conditional, varying across institutional environments and ownership structures. Collectively, these theoretical insights serve to shift the debate from whether PE is “good” or “bad” for innovation toward understanding of how and under what conditions it shapes innovation outcomes. This represents a conceptual reframing to offer a foundation for future theoretical and empirical work.

The integrative framework developed in this review opens several promising avenues for future research. Firstly, empirical testing of the five pathways is needed to establish their relative strength and interaction effects. Longitudinal, multi-level datasets could conceivably trace how PE ownership alters innovation inputs, processes and outputs over time from acquisition through exit. Combination of patent data with qualitative evidence such as interviews or case studies would also help to capture causal mechanisms linking governance restructuring to innovation outcomes (c.f. Mayring, 2004). Secondly, scholars are advised to examine boundary conditions and contingencies more systematically. For example, public-to-private buyouts with high leverage may prioritize cost-cutting over exploration (Amess et al., 2016), whereas growth equity and technology-focused funds may amplify exploratory innovation (Ughetto, 2010). Comparative studies across institutional contexts, particularly in emerging economies, would clarify how regulatory environments and investor protection shape the innovation impact of PE.

There is also scope to broaden the conceptualization of innovation outcomes. Over 80% of existing research relies on patent counts, yet PE may influence forms of innovation not captured by formal intellectual property in process improvements, digital transformation or business-model innovation. Future work could integrate sustainability-oriented and digital innovation metrics to assess how PE contributes to long-term technological renewal and environmental transitions. Finally, theory-building efforts should explore PE as part of innovation ecosystems rather than as isolated ownership events. Both financial and innovation systems theory are enriched by viewing PE investors as institutional intermediaries connecting capital, knowledge and governance. Such a perspective serves to invite cross-disciplinary collaboration through the linking of finance, strategy and innovation studies to illuminate how PE shapes the future architecture of corporate innovation. By incorporating richer datasets, longer time horizons and a variety of methodological tools, future research may thus more precisely identify how PE fosters or inhibits meaningful innovation. Such efforts should serve to inform both policymakers aiming to strike a balance between protecting investors and encouraging sustained research, and practitioners seeking to harness capital markets for long-term competitive advantage.