Pub Date : 2026-01-27DOI: 10.1016/j.iref.2026.104932
Xingyu Li , Hang Hong , Biao Liu
This study takes Chinese A-share listed companies from 2013 to 2023 as the research sample to empirically examine the relationship between green innovation and corporate tax reduction, as well as the regulatory role of venture capital in this mechanism. The results indicate that: First, corporate green innovation input exerts a significant positive effect on tax reduction. Second, the tax reduction effect of green innovation shows obvious heterogeneity depending on the corporate tax burden level. Third, in terms of external organizational characteristics, the tax reduction effect of green innovation is more significant in enterprises with high industry competition intensity and high social responsibility performance. Fourth, venture capital participation plays a positive moderating role in the process of green innovation promoting corporate tax reduction; specifically, the involvement of venture capital strengthens the tax reduction effect brought by green innovation. Fifth, the moderating effect of venture capital is heterogeneous in enterprises with different financialization degrees, and it is more significant in highly financialized enterprises, while it has no obvious regulatory impact in low-financialized enterprises.
{"title":"Venture capital, green innovation, and corporate tax reduction","authors":"Xingyu Li , Hang Hong , Biao Liu","doi":"10.1016/j.iref.2026.104932","DOIUrl":"10.1016/j.iref.2026.104932","url":null,"abstract":"<div><div>This study takes Chinese A-share listed companies from 2013 to 2023 as the research sample to empirically examine the relationship between green innovation and corporate tax reduction, as well as the regulatory role of venture capital in this mechanism. The results indicate that: First, corporate green innovation input exerts a significant positive effect on tax reduction. Second, the tax reduction effect of green innovation shows obvious heterogeneity depending on the corporate tax burden level. Third, in terms of external organizational characteristics, the tax reduction effect of green innovation is more significant in enterprises with high industry competition intensity and high social responsibility performance. Fourth, venture capital participation plays a positive moderating role in the process of green innovation promoting corporate tax reduction; specifically, the involvement of venture capital strengthens the tax reduction effect brought by green innovation. Fifth, the moderating effect of venture capital is heterogeneous in enterprises with different financialization degrees, and it is more significant in highly financialized enterprises, while it has no obvious regulatory impact in low-financialized enterprises.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104932"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074740","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 : 2026-01-27DOI: 10.1016/j.iref.2026.104970
Paula Castro, Borja Amor-Tapia, María T. Tascón
We investigate how a firm's environmental management efficiency affects spare debt capacity. We compute the firm-specific expected and unexpected carbon emissions, and two measures of debt capacity for 1307 European firms in 20 countries during the 2002–2022 period. We define spare debt capacity as firm-specific debt flexibility and analyze it through three transition-risk mechanisms: information asymmetry reduction derived from the mandatory carbon disclosures; information asymmetry reduction derived from information stability; and bankruptcy risk increase derived from unexpected carbon emissions. With respect to the first mechanism, we find no direct link between total emissions and spare debt capacity, highlighting the need to decompose emissions. For the second mechanism, expected emissions show a positive and significant association with spare debt capacity, suggesting that stable and predictable environmental information helps reduce information asymmetry. For the third mechanism, unexpected emissions are negatively related to spare debt capacity, consistent with their role as signals of higher environmental and compliance risk, increasing perceived bankruptcy risk. Further analysis shows that the results hold in the presence of liquidity reduction, additional capital investment, and assurance practices, as well as for firms operating under different environmental uncertainty scenarios (firm-level, industry-level, and macroeconomic), and those facing business uncertainty. Our study introduces a novel method for separating emissions into expected and unexpected components, enabling tests of pecking-order and trade-off theories mechanisms related to debt capacity. These insights can help lenders integrate environmental factors into credit assessments and support firms' managers in designing financing strategies for the transition to cleaner production.
{"title":"Enhancing spare debt capacity via efficient carbon management","authors":"Paula Castro, Borja Amor-Tapia, María T. Tascón","doi":"10.1016/j.iref.2026.104970","DOIUrl":"10.1016/j.iref.2026.104970","url":null,"abstract":"<div><div>We investigate how a firm's environmental management efficiency affects spare debt capacity. We compute the firm-specific expected and unexpected carbon emissions, and two measures of debt capacity for 1307 European firms in 20 countries during the 2002–2022 period. We define spare debt capacity as firm-specific debt flexibility and analyze it through three transition-risk mechanisms: information asymmetry reduction derived from the mandatory carbon disclosures; information asymmetry reduction derived from information stability; and bankruptcy risk increase derived from unexpected carbon emissions. With respect to the first mechanism, we find no direct link between total emissions and spare debt capacity, highlighting the need to decompose emissions. For the second mechanism, expected emissions show a positive and significant association with spare debt capacity, suggesting that stable and predictable environmental information helps reduce information asymmetry. For the third mechanism, unexpected emissions are negatively related to spare debt capacity, consistent with their role as signals of higher environmental and compliance risk, increasing perceived bankruptcy risk. Further analysis shows that the results hold in the presence of liquidity reduction, additional capital investment, and assurance practices, as well as for firms operating under different environmental uncertainty scenarios (firm-level, industry-level, and macroeconomic), and those facing business uncertainty. Our study introduces a novel method for separating emissions into expected and unexpected components, enabling tests of pecking-order and trade-off theories mechanisms related to debt capacity. These insights can help lenders integrate environmental factors into credit assessments and support firms' managers in designing financing strategies for the transition to cleaner production.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104970"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074735","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 : 2026-01-27DOI: 10.1016/j.iref.2026.104969
Jianfeng Jiang , Ji Lin , Bingnan Guo
The synergistic development of digitalization and greening, a crucial strategic arrangement for high-quality development in critical development phase, enhances the optimal allocation of innovation resources. Therefore, utilizing panel data from 285 Chinese prefecture-level cities from 2010 to 2023, this study employs the double machine learning method to investigate how digital-green policy synergy affects substantive and strategic green technology innovation. The study findings indicate that: compared to non-pilot cities, digital-green policy synergy significantly promotes substantive green technology innovation while inhibiting strategic green technology innovation, and these results remain robust to various robustness tests. Heterogeneity analyses reveal a significant spatial differentiation in the effects of digital-green policy synergy. For substantive green technology innovation, non-transportation hub cities and cities with positive net migration exhibit stronger positive effects; for strategic green technology innovation, the inhibitory effects are more pronounced in non-resource-based cities, non-transportation hub cities, and cities with positive net migration. Drawing on the Porter Hypothesis and information asymmetry theory, we identify industrial structure and talent introduction intensity as two key channels linking digital-green policy synergy to substantive and strategic green technology innovation. These findings provide novel evidence for the differentiated innovation effects arising from the integrated development of digitalization and greening.
{"title":"How does digital-green policy synergy affect substantive and strategic green technology innovation? Evidence from China","authors":"Jianfeng Jiang , Ji Lin , Bingnan Guo","doi":"10.1016/j.iref.2026.104969","DOIUrl":"10.1016/j.iref.2026.104969","url":null,"abstract":"<div><div>The synergistic development of digitalization and greening, a crucial strategic arrangement for high-quality development in critical development phase, enhances the optimal allocation of innovation resources. Therefore, utilizing panel data from 285 Chinese prefecture-level cities from 2010 to 2023, this study employs the double machine learning method to investigate how digital-green policy synergy affects substantive and strategic green technology innovation. The study findings indicate that: compared to non-pilot cities, digital-green policy synergy significantly promotes substantive green technology innovation while inhibiting strategic green technology innovation, and these results remain robust to various robustness tests. Heterogeneity analyses reveal a significant spatial differentiation in the effects of digital-green policy synergy. For substantive green technology innovation, non-transportation hub cities and cities with positive net migration exhibit stronger positive effects; for strategic green technology innovation, the inhibitory effects are more pronounced in non-resource-based cities, non-transportation hub cities, and cities with positive net migration. Drawing on the Porter Hypothesis and information asymmetry theory, we identify industrial structure and talent introduction intensity as two key channels linking digital-green policy synergy to substantive and strategic green technology innovation. These findings provide novel evidence for the differentiated innovation effects arising from the integrated development of digitalization and greening.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104969"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074741","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 : 2026-01-27DOI: 10.1016/j.iref.2026.104954
Wilfredo L. Maldonado , Wesley Augusto de Freitas Borges , Rodrigo De-Losso
This paper proposes a methodology for determining the optimal insurance premium on bank deposits charged by a deposit insurer. To this end, we define a simple economy comprising a representative consumer/lender, a firm/borrower, a financial intermediary (bank), and a deposit insurer that partially covers the lenders’ deposits. The equilibrium of this economy is parameterized by the insurance premium rate, whose optimal value is the one that maximizes overall economic welfare. The equilibrium condition also yields a simple and testable relationship between the deposit interest rate and the insurance premium rate. Finally, we conduct empirical exercises to analyze how the optimal insurance premium rate responds to changes in the model’s fundamental parameters.
{"title":"On the optimality of the deposit insurance premium","authors":"Wilfredo L. Maldonado , Wesley Augusto de Freitas Borges , Rodrigo De-Losso","doi":"10.1016/j.iref.2026.104954","DOIUrl":"10.1016/j.iref.2026.104954","url":null,"abstract":"<div><div>This paper proposes a methodology for determining the optimal insurance premium on bank deposits charged by a deposit insurer. To this end, we define a simple economy comprising a representative consumer/lender, a firm/borrower, a financial intermediary (bank), and a deposit insurer that partially covers the lenders’ deposits. The equilibrium of this economy is parameterized by the insurance premium rate, whose optimal value is the one that maximizes overall economic welfare. The equilibrium condition also yields a simple and testable relationship between the deposit interest rate and the insurance premium rate. Finally, we conduct empirical exercises to analyze how the optimal insurance premium rate responds to changes in the model’s fundamental parameters.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104954"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074738","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 : 2026-01-27DOI: 10.1016/j.iref.2026.104966
Qi Xu, Yongyou Nie
We study how public data infrastructure interacts with private disclosure to shape entrant financing, firm entry, and resource allocation when borrower information is scarce and uncertainty is high. Using the China Industrial and Commercial Enterprise Registration Database (2001-2022), we document that entrant voluntary disclosure is positively associated with entry and local bank loan stocks, and that this relationship weakens when macro and policy uncertainty is high. Rollouts of municipal digital government data platforms are also positively associated with entry and local bank loan stocks. We develop a quantitative DSGE model in which borrower verifiability is jointly determined by private disclosure and public data infrastructure, and affects lending terms through expected monitoring losses at default and recovery discounts in distressed sales. In the model, an uncertainty shock immediately worsens financing terms, with entrants’ external finance premium spiking on impact. It tightens credit and reduces entry and aggregate output. Data infrastructure expansion raises baseline verifiability and increases the informativeness of a given unit of private disclosure in screening. We use the model to evaluate alternative policy packages that vary disclosure requirements, data infrastructure, and enforcement against manipulation. In steady state, among the regimes we consider, higher public data verifiability with strong enforcement under voluntary disclosure delivers the strongest joint improvement in entrant credit terms and wedge measures, with higher entry and output.
{"title":"Borrower verifiability at entry: Credit access and misallocation","authors":"Qi Xu, Yongyou Nie","doi":"10.1016/j.iref.2026.104966","DOIUrl":"10.1016/j.iref.2026.104966","url":null,"abstract":"<div><div>We study how public data infrastructure interacts with private disclosure to shape entrant financing, firm entry, and resource allocation when borrower information is scarce and uncertainty is high. Using the China Industrial and Commercial Enterprise Registration Database (2001-2022), we document that entrant voluntary disclosure is positively associated with entry and local bank loan stocks, and that this relationship weakens when macro and policy uncertainty is high. Rollouts of municipal digital government data platforms are also positively associated with entry and local bank loan stocks. We develop a quantitative DSGE model in which borrower verifiability is jointly determined by private disclosure and public data infrastructure, and affects lending terms through expected monitoring losses at default and recovery discounts in distressed sales. In the model, an uncertainty shock immediately worsens financing terms, with entrants’ external finance premium spiking on impact. It tightens credit and reduces entry and aggregate output. Data infrastructure expansion raises baseline verifiability and increases the informativeness of a given unit of private disclosure in screening. We use the model to evaluate alternative policy packages that vary disclosure requirements, data infrastructure, and enforcement against manipulation. In steady state, among the regimes we consider, higher public data verifiability with strong enforcement under voluntary disclosure delivers the strongest joint improvement in entrant credit terms and wedge measures, with higher entry and output.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104966"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074739","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 : 2026-01-27DOI: 10.1016/j.iref.2026.104971
Jiajia Yan , Liu Dai , Qiuyun Zhao
Financial structure is critical for economic growth. This paper examines the relationship between financial structure and economic growth in an open economy by developing an extended neoclassical growth model, which incorporates technological progress and foreign direct investment (FDI). The theoretical analysis demonstrates that an optimal financial structure exists at the steady-state growth rate, with technological progress serving as a key mechanism. Using cross-country panel data from 2003 to 2020, we find that the financial structure dominated by direct financing is more conducive to economic growth, particularly in developing countries. Further analysis indicates that the financial structure promotes economic growth through technological progress. In addition, the positive effect of direct financing follows an inverse U-shaped pattern. While an increasing proportion of direct financing fosters economic growth, exceeding the turning point of the inverse U-shaped curve inhibits growth. Developed countries reach this turning point earlier than developing countries. Moreover, the effect of financial structure evolves dynamically across different stages of economic development. It also exhibits distinct patterns across countries, following a U-shaped pattern in developing countries and declining steadily in developed countries. These findings provide policy insights on optimizing financial structure to promote economic growth in an open economy.
{"title":"Does financial structure matter for economic growth in an open economy?","authors":"Jiajia Yan , Liu Dai , Qiuyun Zhao","doi":"10.1016/j.iref.2026.104971","DOIUrl":"10.1016/j.iref.2026.104971","url":null,"abstract":"<div><div>Financial structure is critical for economic growth. This paper examines the relationship between financial structure and economic growth in an open economy by developing an extended neoclassical growth model, which incorporates technological progress and foreign direct investment (FDI). The theoretical analysis demonstrates that an optimal financial structure exists at the steady-state growth rate, with technological progress serving as a key mechanism. Using cross-country panel data from 2003 to 2020, we find that the financial structure dominated by direct financing is more conducive to economic growth, particularly in developing countries. Further analysis indicates that the financial structure promotes economic growth through technological progress. In addition, the positive effect of direct financing follows an inverse U-shaped pattern. While an increasing proportion of direct financing fosters economic growth, exceeding the turning point of the inverse U-shaped curve inhibits growth. Developed countries reach this turning point earlier than developing countries. Moreover, the effect of financial structure evolves dynamically across different stages of economic development. It also exhibits distinct patterns across countries, following a U-shaped pattern in developing countries and declining steadily in developed countries. These findings provide policy insights on optimizing financial structure to promote economic growth in an open economy.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104971"},"PeriodicalIF":5.6,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074707","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}
This study examines the dynamic and multiscale connectedness among cryptocurrencies, energy markets, macro-financial variables, and environmental indicators in the United States from January 2014 to June 2025. Using a hybrid framework that combines wavelet decomposition with a time-varying parameter vector autoregression (TVP-VAR), we assess spillovers across short-, medium-, and long-term horizons. The results reveal a persistently high level of systemic integration, with the Total Connectedness Index (TCI) ranging between 70 % and 90 % and reaching about 93 % at long horizons. Three contagion regimes are identified: energy-crypto dominance before 2020, financial synchronization during the COVID-19 crisis, and a macro-energy-environmental phase after 2021 that evolves into a digital-sustainability regime by 2025. The multiscale decomposition uncovers hidden directional reversals, Bitcoin price shifts from a short-term volatility transmitter to a long-run structural influencer, while transaction and capitalization variables move from emitters to receivers as horizons lengthen. Robustness tests using a rolling-window VAR confirm the persistence of these dynamics. Overall, the evidence shows that short-term contagion is speculative and energy-driven, whereas long-term connectedness is anchored in inflation, industrial production, and electricity prices. These findings offer actionable insights for investors and policymakers seeking to manage systemic risk and design sustainable strategies at the intersection of digital finance, energy markets, and environmental policy.
{"title":"Interconnected multiscale waves: Tracking shock transmission across cryptocurrency, energy, economy and the environment","authors":"Rabie Loukil , Nabila Boukef Jlassi , Foued Badr Gabsi , Amine Lahiani","doi":"10.1016/j.iref.2026.104937","DOIUrl":"10.1016/j.iref.2026.104937","url":null,"abstract":"<div><div>This study examines the dynamic and multiscale connectedness among cryptocurrencies, energy markets, macro-financial variables, and environmental indicators in the United States from January 2014 to June 2025. Using a hybrid framework that combines wavelet decomposition with a time-varying parameter vector autoregression (TVP-VAR), we assess spillovers across short-, medium-, and long-term horizons. The results reveal a persistently high level of systemic integration, with the Total Connectedness Index (TCI) ranging between 70 % and 90 % and reaching about 93 % at long horizons. Three contagion regimes are identified: energy-crypto dominance before 2020, financial synchronization during the COVID-19 crisis, and a macro-energy-environmental phase after 2021 that evolves into a digital-sustainability regime by 2025. The multiscale decomposition uncovers hidden directional reversals, Bitcoin price shifts from a short-term volatility transmitter to a long-run structural influencer, while transaction and capitalization variables move from emitters to receivers as horizons lengthen. Robustness tests using a rolling-window VAR confirm the persistence of these dynamics. Overall, the evidence shows that short-term contagion is speculative and energy-driven, whereas long-term connectedness is anchored in inflation, industrial production, and electricity prices. These findings offer actionable insights for investors and policymakers seeking to manage systemic risk and design sustainable strategies at the intersection of digital finance, energy markets, and environmental policy.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104937"},"PeriodicalIF":5.6,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074565","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 : 2026-01-25DOI: 10.1016/j.iref.2026.104967
Bowen Li , Cai Zhou
This paper presents a feasible road to achieving household consumption structure upgrade through the cultural consumption pilot. We employ the panel data from the China Labor-force Dynamics Survey from 2014 to 2018 and use the Difference-in-Differences (DID) method to test the policy of National Cultural Consumption Demonstration Cities (NCCDC) pilots on the household consumption structure upgrade. The results show that household consumption structure upgrades after becoming pilot cities and NCCDC policy can promote the increase of enjoyment consumption and the decline of survival consumption. We adopt different methods to test the robustness of the results, and all tests are robust. Moreover, the upgrading effect of family residents’ consumption structures in NCCDC pilots is mainly reflected in urban families, and communities with good governance. Its main mechanisms are cultural radiation, while Internet and clan network effects, which moderate NCCDC policy and household consumption upgrades. The NCCDC policy shapes city brands in communities. More cultural facilities, consumption platforms, and family donations of cultural products emerge in large numbers.
{"title":"How does cultural consumption city pilot improve household consumption structure upgrade? Evidence from China","authors":"Bowen Li , Cai Zhou","doi":"10.1016/j.iref.2026.104967","DOIUrl":"10.1016/j.iref.2026.104967","url":null,"abstract":"<div><div>This paper presents a feasible road to achieving household consumption structure upgrade through the cultural consumption pilot. We employ the panel data from the China Labor-force Dynamics Survey from 2014 to 2018 and use the Difference-in-Differences (DID) method to test the policy of National Cultural Consumption Demonstration Cities (NCCDC) pilots on the household consumption structure upgrade. The results show that household consumption structure upgrades after becoming pilot cities and NCCDC policy can promote the increase of enjoyment consumption and the decline of survival consumption. We adopt different methods to test the robustness of the results, and all tests are robust. Moreover, the upgrading effect of family residents’ consumption structures in NCCDC pilots is mainly reflected in urban families, and communities with good governance. Its main mechanisms are cultural radiation, while Internet and clan network effects, which moderate NCCDC policy and household consumption upgrades. The NCCDC policy shapes city brands in communities. More cultural facilities, consumption platforms, and family donations of cultural products emerge in large numbers.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104967"},"PeriodicalIF":5.6,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074742","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 : 2026-01-24DOI: 10.1016/j.iref.2026.104921
Juan Zurita
This paper demonstrates the significance of heterogeneity in bank equity size as a key dimension for quantifying the effects of local credit supply on local economic outcomes. Using newly compiled datasets from over 5000 bank balance sheets, and mortgage and business loans in the United States, we offer novel empirical evidence on the role of bank equity size heterogeneity in how local bank lending impacts local economic activity. Our results show that accounting for the features of the lender, in particular, bank equity size heterogeneity, significantly amplifies the estimated economic effects of credit supply. The impact of mortgage lending on GDP growth can be up to 60 times larger compared to models that ignore lender heterogeneity, while the effect of business lending can be up to 18 times greater when bank equity size heterogeneity is taken into account. This difference in the size of the impact between business and mortgage lending may arise because credit allocation in the business lending channel is more influenced by risk-return trade-offs than by bank equity size.
{"title":"Banking heterogeneity, credit supply and economic growth","authors":"Juan Zurita","doi":"10.1016/j.iref.2026.104921","DOIUrl":"10.1016/j.iref.2026.104921","url":null,"abstract":"<div><div>This paper demonstrates the significance of heterogeneity in bank equity size as a key dimension for quantifying the effects of local credit supply on local economic outcomes. Using newly compiled datasets from over 5000 bank balance sheets, and mortgage and business loans in the United States, we offer novel empirical evidence on the role of bank equity size heterogeneity in how local bank lending impacts local economic activity. Our results show that accounting for the features of the lender, in particular, bank equity size heterogeneity, significantly amplifies the estimated economic effects of credit supply. The impact of mortgage lending on GDP growth can be up to 60 times larger compared to models that ignore lender heterogeneity, while the effect of business lending can be up to 18 times greater when bank equity size heterogeneity is taken into account. This difference in the size of the impact between business and mortgage lending may arise because credit allocation in the business lending channel is more influenced by risk-return trade-offs than by bank equity size.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104921"},"PeriodicalIF":5.6,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074566","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 : 2026-01-24DOI: 10.1016/j.iref.2026.104923
Dominik Ulke
The relationship between financial openness and economic growth has long been debated, with empirical evidence remaining mixed. Much of the existing literature focuses on the late 20th century, leaving the effects of financial openness in the 21st century, a time that saw several financial crises and a widespread revival of capital controls, comparatively underexplored. This study revisits this fundamental question using a comprehensive panel dataset covering 159 countries from 1995 to 2021 and two widely used indicators of financial openness, KAOPEN (Chinn and Ito, 2006) and CAPITAL (Quinn, 1997; Quinn and Toyoda, 2008). Employing fixed effects, two-stage least squares, and system-GMM estimators, the analysis accounts for endogeneity concerns. Across all specifications, results consistently show a negative association between financial openness and real per capita GDP growth, suggesting that greater openness has reduced growth in recent decades. Contrary to theory, there is only weak evidence to suggest that this effect is stronger for countries that predominantly import capital and for those that suffer from ”original sin”. These results challenge the conventional wisdom that financial liberalization inherently fosters economic growth. From a policy perspective, they suggest that maintaining selective capital controls may contribute to greater macroeconomic stability and sustained growth, not only for developing countries.
金融开放与经济增长之间的关系长期以来一直存在争议,经验证据仍然好坏参半。现有的文献大多集中在20世纪后期,而对21世纪金融开放的影响的探讨相对较少,而21世纪经历了几次金融危机,资本管制广泛复苏。本研究使用涵盖1995年至2021年159个国家的综合面板数据集和两个广泛使用的金融开放指标——KAOPEN (Chinn and Ito, 2006)和CAPITAL (Quinn, 1997; Quinn and Toyoda, 2008),重新审视了这个基本问题。采用固定效应、两阶段最小二乘和系统- gmm估计,分析考虑了内生性问题。在所有指标中,结果一致显示金融开放度与实际人均GDP增长之间存在负相关关系,这表明近几十年来,更大的开放度降低了增长。与理论相反,只有微弱的证据表明,这种影响对主要进口资本的国家和那些遭受“原罪”的国家更强。这些结果挑战了金融自由化本质上促进经济增长的传统观点。从政策角度来看,他们认为,维持选择性资本管制可能有助于提高宏观经济稳定性和持续增长,不仅对发展中国家如此。
{"title":"Facilitator or inhibitor?","authors":"Dominik Ulke","doi":"10.1016/j.iref.2026.104923","DOIUrl":"10.1016/j.iref.2026.104923","url":null,"abstract":"<div><div>The relationship between financial openness and economic growth has long been debated, with empirical evidence remaining mixed. Much of the existing literature focuses on the late 20th century, leaving the effects of financial openness in the 21st century, a time that saw several financial crises and a widespread revival of capital controls, comparatively underexplored. This study revisits this fundamental question using a comprehensive panel dataset covering 159 countries from 1995 to 2021 and two widely used indicators of financial openness, KAOPEN (Chinn and Ito, 2006) and CAPITAL (Quinn, 1997; Quinn and Toyoda, 2008). Employing fixed effects, two-stage least squares, and system-GMM estimators, the analysis accounts for endogeneity concerns. Across all specifications, results consistently show a negative association between financial openness and real per capita GDP growth, suggesting that greater openness has reduced growth in recent decades. Contrary to theory, there is only weak evidence to suggest that this effect is stronger for countries that predominantly import capital and for those that suffer from ”original sin”. These results challenge the conventional wisdom that financial liberalization inherently fosters economic growth. From a policy perspective, they suggest that maintaining selective capital controls may contribute to greater macroeconomic stability and sustained growth, not only for developing countries.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"106 ","pages":"Article 104923"},"PeriodicalIF":5.6,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074645","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}