This study investigates the complex interplay between human capital (HC) and innovation in shaping regional economic development, with a particular focus on persistent disparities across Polish regions. While prior research has established a general link between HC and innovation, there remains a significant gap in understanding how this relationship manifests under varying institutional, historical and socio-economic conditions, especially in post-transition and emerging economies, in the context of the latest economic and technological shifts like post-COVID recovery, digital transformation and green economy initiatives. The aim is to uncover the mechanisms that either facilitate or hinder the translation of educational and workforce assets into regional innovation outcomes and to propose targeted, region-specific policy interventions.
Adopting a quantitative methodology, this study utilizes the Mazziotta–Pareto Index to develop composite indices for HC and innovation. These indices are applied to 16 Polish regions, analyzed over 15 years (2009–2023). Data from Statistics Poland and Eurostat were standardized and aggregated to create comparative rankings. The analysis includes correlation assessments and regional rankings to identify patterns of divergence between HC development and innovation output.
The results reveal significant regional disparities in Poland's HC-innovation relationship. Some regions show strong alignment (e.g. Mazowieckie, Malopolskie), others possess high HC but low innovation (e.g. Lubelskie, Podlaskie), while a few combine low HC with high innovation (e.g. Podkarpacie). These mismatches are shaped by structural economic conditions, industrial specialization and institutional quality. Findings suggest that enhancing institutional support and industry-academia linkages is critical for converting educational assets into innovation capacity. Targeted policy measures are needed to boost innovation absorption in HC-rich regions and stimulate HC development in innovative but skill-deficient areas.
The study highlights the need for differentiated, region-specific policy tools such as targeted R&D incentives, support for university-industry collaboration and workforce mobility programs. These strategies can help unlock the latent innovation potential in high HC regions and develop skills in innovation-leading but education-deficient areas. It is also important to create incentives for the funding of R&D and high-risk projects and to implement the concepts of smart villages and smart cities in the more economically deprived regions.
This research offers a novel contribution to the literature by combining a multidimensional synthetic index approach with a regional lens to examine the HC–innovation nexus. By moving beyond national aggregates, it uncovers spatial mismatches that are critical for understanding regional development dynamics. This work, unlike other studies, takes into account the new research period, including COVID-19 times, which makes it possible to assess whether regional disparities are levelling out or not. Although focused on Poland, the findings are broadly applicable to other Eastern European post-transition and developing countries experiencing similar problems with financing innovations or countries with intra-regional variations, such as Germany or Italy. The study bridges theory and practice by offering actionable recommendations for regional policymakers, grounded in recent debates on digital transformation, green innovation and HC.
