Pub Date : 2025-12-19DOI: 10.1016/j.econmod.2025.107453
Huijie Cui , Hongyan Hu , Shangkun Liang
Open innovation offers great promise for firms seeking long-term competitiveness, but the challenge of balancing openness with control often hinders collaboration. This study investigates whether smart city pilot policies can alleviate the “paradox of openness” and foster collaboration. Using firm-level data, we find that firms located in smart city pilot areas are more likely to engage in collaborative innovation and produce a higher level of joint innovation output and quality. The mechanism lies in the stronger support and coordination between governments and firms in these cities, which lowers the barriers to external cooperation. Cross-sectional analyses show that the effect varies across different external factors. We also demonstrate that the policy's promotional effect has a lasting impact. Overall, these findings highlight the role of smart city policy in unlocking the full potential of open innovation.
{"title":"Does smart city benefit open innovation? firm-level evidence from China","authors":"Huijie Cui , Hongyan Hu , Shangkun Liang","doi":"10.1016/j.econmod.2025.107453","DOIUrl":"10.1016/j.econmod.2025.107453","url":null,"abstract":"<div><div>Open innovation offers great promise for firms seeking long-term competitiveness, but the challenge of balancing openness with control often hinders collaboration. This study investigates whether smart city pilot policies can alleviate the “paradox of openness” and foster collaboration. Using firm-level data, we find that firms located in smart city pilot areas are more likely to engage in collaborative innovation and produce a higher level of joint innovation output and quality. The mechanism lies in the stronger support and coordination between governments and firms in these cities, which lowers the barriers to external cooperation. Cross-sectional analyses show that the effect varies across different external factors. We also demonstrate that the policy's promotional effect has a lasting impact. Overall, these findings highlight the role of smart city policy in unlocking the full potential of open innovation.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107453"},"PeriodicalIF":4.7,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107451
Yazid Dissou , Sicong Ma
This paper investigates how public investment influences real exchange rate dynamics. While most empirical studies find that higher government investment appreciates the real exchange rate, theory often predicts depreciation. We develop an open-economy New Keynesian model with tradable and nontradable sectors, nominal rigidities, and productive public capital to reconcile these findings. Using China as a case study, we show that the productivity of public capital – the extent to which public investment enhances private-sector efficiency – is decisive. Low productivity causes a real appreciation, whereas high productivity leads to depreciation. The model thus explains the mixed empirical evidence on fiscal policy and the exchange rate. The results highlight that the competitiveness impact of public investment depends on how productive it is.
{"title":"Public investment and real exchange rate dynamics: The role of public capital productivity","authors":"Yazid Dissou , Sicong Ma","doi":"10.1016/j.econmod.2025.107451","DOIUrl":"10.1016/j.econmod.2025.107451","url":null,"abstract":"<div><div>This paper investigates how public investment influences real exchange rate dynamics. While most empirical studies find that higher government investment appreciates the real exchange rate, theory often predicts depreciation. We develop an open-economy New Keynesian model with tradable and nontradable sectors, nominal rigidities, and productive public capital to reconcile these findings. Using China as a case study, we show that the productivity of public capital – the extent to which public investment enhances private-sector efficiency – is decisive. Low productivity causes a real appreciation, whereas high productivity leads to depreciation. The model thus explains the mixed empirical evidence on fiscal policy and the exchange rate. The results highlight that the competitiveness impact of public investment depends on how productive it is.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107451"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107444
Dickson David Agbaji , Qiong Zhu
This paper investigates the impacts of Chinese education aid on African youth's secondary and tertiary education attainment. It harmonises 92 Demographic and Health Survey datasets from 27 African countries with AidData's geocoded data on 2580 Chinese projects across Africa between 2000 and 2021. The study draws on the education production function theory and adopts a difference-in-differences estimator that addresses endogeneity by testing for differences between active and pipeline projects. It finds that proximity to active Chinese education sector projects significantly improves African youth secondary and tertiary school enrolment and completion, with tertiary-level and non-infrastructure projects exhibiting the strongest effects. A causal mediation analysis demonstrates that the aid effect is mediated via household income, rather than infrastructure. Moreover, social and economic sector aid projects exhibit (in)direct spillover effects. Lastly, the paper finds that a selection bias exists, as wealthy and urban areas possess a comparative advantage vis-à-vis exposure to Chinese aid.
{"title":"Subnational impacts of Chinese education sector development aid on youth educational attainment in Africa","authors":"Dickson David Agbaji , Qiong Zhu","doi":"10.1016/j.econmod.2025.107444","DOIUrl":"10.1016/j.econmod.2025.107444","url":null,"abstract":"<div><div>This paper investigates the impacts of Chinese education aid on African youth's secondary and tertiary education attainment. It harmonises 92 Demographic and Health Survey datasets from 27 African countries with AidData's geocoded data on 2580 Chinese projects across Africa between 2000 and 2021. The study draws on the education production function theory and adopts a difference-in-differences estimator that addresses endogeneity by testing for differences between active and pipeline projects. It finds that proximity to active Chinese education sector projects significantly improves African youth secondary and tertiary school enrolment and completion, with tertiary-level and non-infrastructure projects exhibiting the strongest effects. A causal mediation analysis demonstrates that the aid effect is mediated via household income, rather than infrastructure. Moreover, social and economic sector aid projects exhibit (in)direct spillover effects. Lastly, the paper finds that a selection bias exists, as wealthy and urban areas possess a comparative advantage vis-à-vis exposure to Chinese aid.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107444"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107442
Zhoufu Yan , Qihong Zhu , Markus Leibrecht , Fangwei Wu
China is exceptional in the speed of automation and the extent of rural labor migration. We investigate the impact of industrial automation on rural migrant employment in China, with a focus on spatial spillover effects. We used city-level employment data from 2011 to 2018 and industrial robot adoption as a proxy for automation, and applied a Spatial Durbin Model. We find that automation significantly reduces local rural migrant employment while generating positive spillovers in neighboring cities. These effects vary by migrants’ skills, tasks, industries, migration types, age, and marital status. Mechanism analyses reveal that automation fosters high-tech enterprise clustering and skill upgrading, creating skill premiums and labor outflows. Simultaneously, automation strengthens industrial linkages and structural similarity across neighboring cities, facilitating positive spillovers. The findings inform inter-regional policies aimed at stabilizing rural migrant employment and well-being amid technological transformation.
{"title":"Spatial dependencies in the relationship between automation and migrant worker employment: Evidence from Chinese cities","authors":"Zhoufu Yan , Qihong Zhu , Markus Leibrecht , Fangwei Wu","doi":"10.1016/j.econmod.2025.107442","DOIUrl":"10.1016/j.econmod.2025.107442","url":null,"abstract":"<div><div>China is exceptional in the speed of automation and the extent of rural labor migration. We investigate the impact of industrial automation on rural migrant employment in China, with a focus on spatial spillover effects. We used city-level employment data from 2011 to 2018 and industrial robot adoption as a proxy for automation, and applied a Spatial Durbin Model. We find that automation significantly reduces local rural migrant employment while generating positive spillovers in neighboring cities. These effects vary by migrants’ skills, tasks, industries, migration types, age, and marital status. Mechanism analyses reveal that automation fosters high-tech enterprise clustering and skill upgrading, creating skill premiums and labor outflows. Simultaneously, automation strengthens industrial linkages and structural similarity across neighboring cities, facilitating positive spillovers. The findings inform inter-regional policies aimed at stabilizing rural migrant employment and well-being amid technological transformation.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107442"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107452
Li Tan , Shibo Bian , Yayi Yan , Zhiming Hu
This paper considers estimation and inference of time-varying generalized impulse response functions (TV-GIRFs) for time-varying vector autoregressive (VAR) models. We use the local linear kernel method to estimate time-varying model coefficients, propose an easy-to-implement estimator for TV-GIRFs, and then establish its asymptotic properties for inferential purposes. Extensive simulation experiments show that our estimation method works well in finite samples. To demonstrate the empirical relevance, we apply the proposed TV-GIRFs to estimate the time-variation in U.S. government spending multipliers and the time-varying volatility spillovers among five major Asian stock markets, respectively.
{"title":"Generalized impulse response analysis for time-varying VAR models","authors":"Li Tan , Shibo Bian , Yayi Yan , Zhiming Hu","doi":"10.1016/j.econmod.2025.107452","DOIUrl":"10.1016/j.econmod.2025.107452","url":null,"abstract":"<div><div>This paper considers estimation and inference of time-varying generalized impulse response functions (TV-GIRFs) for time-varying vector autoregressive (VAR) models. We use the local linear kernel method to estimate time-varying model coefficients, propose an easy-to-implement estimator for TV-GIRFs, and then establish its asymptotic properties for inferential purposes. Extensive simulation experiments show that our estimation method works well in finite samples. To demonstrate the empirical relevance, we apply the proposed TV-GIRFs to estimate the time-variation in U.S. government spending multipliers and the time-varying volatility spillovers among five major Asian stock markets, respectively.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107452"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107449
Lingxiao Tang , Kenan Li , Yao Ouyang
Based on the International Lender of Last Resort (ILOLR), this paper develops a two-country open-economy DSGE model to evaluate the macroeconomic stability effect of the People's Bank of China (PBoC) currency swap. The simulation results indicate that the PBoC's currency swap has a macroeconomic stability effect, but moral hazard weakens this effect. Using sample data from 182 economies from 2007 to 2022 and empirical results based on the staggered DiD model, it is shown that currency swaps help suppress macroeconomic fluctuations and cushion the negative impact of rising US dollar financing costs. The larger the scale of the central bank's reduction in foreign exchange reserves in a currency swap economy is, the weaker the macroeconomic stability effect of the PBoC's currency swap. Further discoveries show that the PBoC's currency swap has a greater macroeconomic stability effect on emerging economies.
{"title":"Does the People's Bank of China's currency swap have macroeconomic stability effects?","authors":"Lingxiao Tang , Kenan Li , Yao Ouyang","doi":"10.1016/j.econmod.2025.107449","DOIUrl":"10.1016/j.econmod.2025.107449","url":null,"abstract":"<div><div>Based on the International Lender of Last Resort (ILOLR), this paper develops a two-country open-economy DSGE model to evaluate the macroeconomic stability effect of the People's Bank of China (PBoC) currency swap. The simulation results indicate that the PBoC's currency swap has a macroeconomic stability effect, but moral hazard weakens this effect. Using sample data from 182 economies from 2007 to 2022 and empirical results based on the staggered DiD model, it is shown that currency swaps help suppress macroeconomic fluctuations and cushion the negative impact of rising US dollar financing costs. The larger the scale of the central bank's reduction in foreign exchange reserves in a currency swap economy is, the weaker the macroeconomic stability effect of the PBoC's currency swap. Further discoveries show that the PBoC's currency swap has a greater macroeconomic stability effect on emerging economies.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107449"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107450
Yi-Shan Hsieh , Chien-Wen Yang
This study examines how mandatory information disclosure policies affect market stability in Taiwan's housing market. In the existing-home mortgage market, disclosure increases financial stability (lower nonperforming loan ratios). The mechanism differs across regions: municipalities experience a direct effect through improved lending decisions, while non-municipalities benefit indirectly from higher information quality and lower price dispersion. In contrast, in the primary presale housing market, disclosure is linked to more disputes. This outcome may arise from information overload and the crowding out of private sources. These findings suggest that disclosure works differently across markets. Its effectiveness depends on participants' ability to process information, implying that policymakers should design policies suited to market needs and provide support through financial education or user-friendly platforms.
{"title":"Effect of information disclosure reform on market stability: Evidence from the housing market in Taiwan","authors":"Yi-Shan Hsieh , Chien-Wen Yang","doi":"10.1016/j.econmod.2025.107450","DOIUrl":"10.1016/j.econmod.2025.107450","url":null,"abstract":"<div><div>This study examines how mandatory information disclosure policies affect market stability in Taiwan's housing market. In the existing-home mortgage market, disclosure increases financial stability (lower nonperforming loan ratios). The mechanism differs across regions: municipalities experience a direct effect through improved lending decisions, while non-municipalities benefit indirectly from higher information quality and lower price dispersion. In contrast, in the primary presale housing market, disclosure is linked to more disputes. This outcome may arise from information overload and the crowding out of private sources. These findings suggest that disclosure works differently across markets. Its effectiveness depends on participants' ability to process information, implying that policymakers should design policies suited to market needs and provide support through financial education or user-friendly platforms.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107450"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-18DOI: 10.1016/j.econmod.2025.107441
Łukasz Postek , Małgorzata Walerych
This study investigates the impact of immigration shocks on the labour market in Poland, a country that experienced a rapid influx of immigrants following Russia’s invasions of Ukraine in 2014 and 2022. Our paper adds to the literature on the macroeconomic effects of immigration and to the literature that aims to disentangle various labour market shocks, focusing on war-induced immigration. We employ sign-restricted BVAR models and construct novel proxies for immigration inflows to assess their macroeconomic effects for the period 2004–2023. We find that in recent years, immigration shocks slightly lowered unemployment rate and more strongly reduced real wage growth. They also contributed to higher nominal wage growth, particularly after 2022, when the influx of non-working immigrants created significant consumption demand. Our findings suggest that refugee-driven migration affects the economy differently from labour-driven inflows, providing new insights into the macroeconomic consequences of Europe’s largest refugee crisis since World War II.
{"title":"The impact of Ukrainian immigration on labour market dynamics in Poland: A Bayesian VAR analysis","authors":"Łukasz Postek , Małgorzata Walerych","doi":"10.1016/j.econmod.2025.107441","DOIUrl":"10.1016/j.econmod.2025.107441","url":null,"abstract":"<div><div>This study investigates the impact of immigration shocks on the labour market in Poland, a country that experienced a rapid influx of immigrants following Russia’s invasions of Ukraine in 2014 and 2022. Our paper adds to the literature on the macroeconomic effects of immigration and to the literature that aims to disentangle various labour market shocks, focusing on war-induced immigration. We employ sign-restricted BVAR models and construct novel proxies for immigration inflows to assess their macroeconomic effects for the period 2004–2023. We find that in recent years, immigration shocks slightly lowered unemployment rate and more strongly reduced real wage growth. They also contributed to higher nominal wage growth, particularly after 2022, when the influx of non-working immigrants created significant consumption demand. Our findings suggest that refugee-driven migration affects the economy differently from labour-driven inflows, providing new insights into the macroeconomic consequences of Europe’s largest refugee crisis since World War II.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107441"},"PeriodicalIF":4.7,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.econmod.2025.107446
Guang-Zhao Yang , Qinru Si , Liang Liu
This study examines whether expanding the local supply of highly educated labor raises firm innovation. Existing research links higher-education expansion to aggregate human capital and firm performance but provides limited city-level evidence on firm innovation. Exploiting staggered openings of undergraduate universities across Chinese prefecture-level cities during 2008–2022, and combining city data with listed-firm records, we implement a difference-in-differences design. We find that university openings increase local firms’ patent output and improve innovation efficiency, allowing firms to achieve higher innovative outcomes without additional R&D expenditure, while intensified labor market competition reduces labor costs and further supports R&D activity. By contrast, the creation of vocational colleges or elite universities has only modest effects on local firm innovation, consistent with vocational graduates mainly entering non-R&D jobs and with high mobility among graduates of prestigious universities. These results highlight the importance of local skilled-labor availability and graduate retention for strengthening regional innovation capacity.
{"title":"Local university expansion and firm innovation: Evidence from skilled labor supply shocks and innovation efficiency","authors":"Guang-Zhao Yang , Qinru Si , Liang Liu","doi":"10.1016/j.econmod.2025.107446","DOIUrl":"10.1016/j.econmod.2025.107446","url":null,"abstract":"<div><div>This study examines whether expanding the local supply of highly educated labor raises firm innovation. Existing research links higher-education expansion to aggregate human capital and firm performance but provides limited city-level evidence on firm innovation. Exploiting staggered openings of undergraduate universities across Chinese prefecture-level cities during 2008–2022, and combining city data with listed-firm records, we implement a difference-in-differences design. We find that university openings increase local firms’ patent output and improve innovation efficiency, allowing firms to achieve higher innovative outcomes without additional R&D expenditure, while intensified labor market competition reduces labor costs and further supports R&D activity. By contrast, the creation of vocational colleges or elite universities has only modest effects on local firm innovation, consistent with vocational graduates mainly entering non-R&D jobs and with high mobility among graduates of prestigious universities. These results highlight the importance of local skilled-labor availability and graduate retention for strengthening regional innovation capacity.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107446"},"PeriodicalIF":4.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-17DOI: 10.1016/j.econmod.2025.107445
Inmaculada C. Álvarez , Javier Barbero , Luis Orea , Andrés Rodríguez-Pose
Most studies of institutional quality and regional growth assume uniform effects across territories. However, this may mask crucial regional heterogeneity, with direct policy implications. We use a latent class framework applied to 230 EU regions over 2009–2017 to identify institution-driven regional parameter groups, and to examine both average effects and catching-up effects associated with changes in the institutional environment. We demonstrate that institutional quality generates highly variable returns to investment in physical capital and innovation. Nordic and Central European regions show highest returns to physical capital and R&D investment, whereas less-developed regions benefit most from education spending. Crucially, we find that improving government quality not only raises average returns but also promotes territorial cohesion. By contrast, regional autonomy shows limited impact on returns. Our findings challenge the one-size-fits-all approach to cohesion policy and indicate that cohesion policy should explicitly promote institutional improvements in addition to capital deployment.
{"title":"How institutions shape the economic returns to investment in European regions?","authors":"Inmaculada C. Álvarez , Javier Barbero , Luis Orea , Andrés Rodríguez-Pose","doi":"10.1016/j.econmod.2025.107445","DOIUrl":"10.1016/j.econmod.2025.107445","url":null,"abstract":"<div><div>Most studies of institutional quality and regional growth assume uniform effects across territories. However, this may mask crucial regional heterogeneity, with direct policy implications. We use a latent class framework applied to 230 EU regions over 2009–2017 to identify institution-driven regional parameter groups, and to examine both average effects and catching-up effects associated with changes in the institutional environment. We demonstrate that institutional quality generates highly variable returns to investment in physical capital and innovation. Nordic and Central European regions show highest returns to physical capital and R&D investment, whereas less-developed regions benefit most from education spending. Crucially, we find that improving government quality not only raises average returns but also promotes territorial cohesion. By contrast, regional autonomy shows limited impact on returns. Our findings challenge the one-size-fits-all approach to cohesion policy and indicate that cohesion policy should explicitly promote institutional improvements in addition to capital deployment.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107445"},"PeriodicalIF":4.7,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}