Pub Date : 2025-12-15DOI: 10.1016/j.econmod.2025.107440
Yumeng Yang, Yunong Li, Han Sheng, Mao Zhou
This study investigates the impact of export growth on fertility, coinciding with the abolition of the One-child Policy and subsequent relaxation of birth control policies in China. Using micro-level survey data, we employ a shift-share instrumental variables strategy to examine the causal effects. Our analysis reveals that married women residing in prefectures with greater export growth are significantly less likely to give birth. Additional analysis shows that export growth raises married women's wages, thereby increasing the opportunity cost of fertility and shifting household resource allocation by reducing maternal time devoted to childcare while boosting monetary investment in children's education. Social norms also emerge as an essential channel. These findings offer new insights into how economic development shapes demographic outcomes and provide implications for developing more women-supportive environments that reconcile labor market participation with family formation.
{"title":"Producing more, reproducing less: The demographic costs of China's export success","authors":"Yumeng Yang, Yunong Li, Han Sheng, Mao Zhou","doi":"10.1016/j.econmod.2025.107440","DOIUrl":"10.1016/j.econmod.2025.107440","url":null,"abstract":"<div><div>This study investigates the impact of export growth on fertility, coinciding with the abolition of the One-child Policy and subsequent relaxation of birth control policies in China. Using micro-level survey data, we employ a shift-share instrumental variables strategy to examine the causal effects. Our analysis reveals that married women residing in prefectures with greater export growth are significantly less likely to give birth. Additional analysis shows that export growth raises married women's wages, thereby increasing the opportunity cost of fertility and shifting household resource allocation by reducing maternal time devoted to childcare while boosting monetary investment in children's education. Social norms also emerge as an essential channel. These findings offer new insights into how economic development shapes demographic outcomes and provide implications for developing more women-supportive environments that reconcile labor market participation with family formation.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"156 ","pages":"Article 107440"},"PeriodicalIF":4.7,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886322","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 : 2025-12-15DOI: 10.1016/j.econmod.2025.107437
Hao Xu
This study develops a multisector endogenous growth model to examine how digital finance affects latecomer firms' technological catch-up and empirically tests this relationship using Chinese firm-level panel data from 2011 to 2023. The results show that digital finance promotes catch-up by reducing financial capital misallocation, enhancing knowledge spillover, and strengthening entrepreneurial innovation spirit. This effect is stronger for latecomer firms operating in industries where frontier firms hold greater structural advantages, those facing a larger frontier knowledge gap, those emphasizing substantive innovation strategies, and those in regions with more developed digital industries. In addition, intellectual property protection exerts a nonlinear moderating effect, first reinforcing and then diminishing digital finance's influence on technological catch-up. Overall, the findings deepen understanding of digital finance's role and offer policy insights for building a fair innovation ecosystem that supports inclusive growth.
{"title":"Unveiling the role of digital finance in technological catch-up: A multisector growth model with firm-level evidence","authors":"Hao Xu","doi":"10.1016/j.econmod.2025.107437","DOIUrl":"10.1016/j.econmod.2025.107437","url":null,"abstract":"<div><div>This study develops a multisector endogenous growth model to examine how digital finance affects latecomer firms' technological catch-up and empirically tests this relationship using Chinese firm-level panel data from 2011 to 2023. The results show that digital finance promotes catch-up by reducing financial capital misallocation, enhancing knowledge spillover, and strengthening entrepreneurial innovation spirit. This effect is stronger for latecomer firms operating in industries where frontier firms hold greater structural advantages, those facing a larger frontier knowledge gap, those emphasizing substantive innovation strategies, and those in regions with more developed digital industries. In addition, intellectual property protection exerts a nonlinear moderating effect, first reinforcing and then diminishing digital finance's influence on technological catch-up. Overall, the findings deepen understanding of digital finance's role and offer policy insights for building a fair innovation ecosystem that supports inclusive growth.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107437"},"PeriodicalIF":4.7,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883712","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 : 2025-12-12DOI: 10.1016/j.econmod.2025.107439
Pradyumna Dash , Ankit Kumar , Chetan Subramanian
This study investigates the effects of U.S. monetary policy on income inequality in open economies from 1970 to 2016. We find that a 100-basis-point increase in the federal funds rate leads to a cumulative reduction of about 0.15% in income inequality over three years. Interestingly, we show that the effect of US monetary policy on inequality varies over time. The impact also varies by exchange rate regime: in flexible regimes, the reduction can reach nearly 0.3%, while in pegged regimes, it diminishes to around 0.13%. This impact in pegged regimes is influenced by wage rigidity and labor market regulations in the economy. To explain these results, we develop a two-agent small open economy model that incorporates rigid wages, highlighting the link between monetary policy and inequality dynamics.
{"title":"International spillovers of US monetary policy on inequality","authors":"Pradyumna Dash , Ankit Kumar , Chetan Subramanian","doi":"10.1016/j.econmod.2025.107439","DOIUrl":"10.1016/j.econmod.2025.107439","url":null,"abstract":"<div><div>This study investigates the effects of U.S. monetary policy on income inequality in open economies from 1970 to 2016. We find that a 100-basis-point increase in the federal funds rate leads to a cumulative reduction of about 0.15% in income inequality over three years. Interestingly, we show that the effect of US monetary policy on inequality varies over time. The impact also varies by exchange rate regime: in flexible regimes, the reduction can reach nearly 0.3%, while in pegged regimes, it diminishes to around 0.13%. This impact in pegged regimes is influenced by wage rigidity and labor market regulations in the economy. To explain these results, we develop a two-agent small open economy model that incorporates rigid wages, highlighting the link between monetary policy and inequality dynamics.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107439"},"PeriodicalIF":4.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789948","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 : 2025-12-12DOI: 10.1016/j.econmod.2025.107418
Yi Jiang (伊 江) , Richard S.J. Tol
Does environmental regulation enhance firm productivity through reallocation toward green innovation, conditional on firms' pollution intensity and productivity levels? We analyze Chinese listed firms (2010–2018) using a Crépon–Duguet–Mairesse recursive framework, a three-equation causal chain that links regulation, innovation, and productivity. We find that a variety of environmental policies raise compliance costs, crowding-out average R&D investment. Non-green innovation yields higher productivity returns in low-pollution firms and exhibits a U-shaped return pattern across the productivity distribution, whereas green innovation's returns follow an inverted-U-shaped profile, peaking at medium-high productivity—where, for high-pollution firms, they exceed those of non-green innovation, boosting TFP. These results provide mechanism-based evidence for the strong Porter hypothesis as a context-dependent reconfiguration of technological and productive efficiency under regulatory stimuli. Policy support for green innovation should be targeted at high-pollution, mid-to-high-productivity firms based on verifiable outcomes, turning the crowding-out of R&D into productive reallocation.
{"title":"Environmental regulation, green innovation, and productivity: Crowding-out or reallocation?","authors":"Yi Jiang (伊 江) , Richard S.J. Tol","doi":"10.1016/j.econmod.2025.107418","DOIUrl":"10.1016/j.econmod.2025.107418","url":null,"abstract":"<div><div>Does environmental regulation enhance firm productivity through reallocation toward green innovation, conditional on firms' pollution intensity and productivity levels? We analyze Chinese listed firms (2010–2018) using a Crépon–Duguet–Mairesse recursive framework, a three-equation causal chain that links regulation, innovation, and productivity. We find that a variety of environmental policies raise compliance costs, crowding-out average R&D investment. Non-green innovation yields higher productivity returns in low-pollution firms and exhibits a U-shaped return pattern across the productivity distribution, whereas green innovation's returns follow an inverted-U-shaped profile, peaking at medium-high productivity—where, for high-pollution firms, they exceed those of non-green innovation, boosting TFP. These results provide mechanism-based evidence for the strong Porter hypothesis as a context-dependent reconfiguration of technological and productive efficiency under regulatory stimuli. Policy support for green innovation should be targeted at high-pollution, mid-to-high-productivity firms based on verifiable outcomes, turning the crowding-out of R&D into productive reallocation.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107418"},"PeriodicalIF":4.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789950","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 : 2025-12-12DOI: 10.1016/j.econmod.2025.107434
Tobias Hartl , Christian Hutter , Enzo Weber
The standard labour market matching function neglects a substantial variation of hirings. A crucial driver of this latent part is the search intensity of job seekers and firms, as well as the placement intensity of employment agencies. However, there is still a lack of integration of all three search and placement intensities into a unified theoretical framework. Their combined labour market effects have not been estimated so far. We feed all three intensities into the theoretical framework of a labour market matching function to estimate their impact on the job finding rate – effects which are not settled a priori. This could provide important stylised facts for subsequent theory building. For measuring the search and placement intensities, we use big data on online activity obtained from the job exchange of the German Federal Employment Agency and from its internal placement-software. The results show that all three intensities significantly contribute to the variation in job findings beyond vacancies and unemployment. During the COVID-19 crisis, reduced search intensities accounted for 44 percent of lost hirings and 16 percent of the labour market related increase in unemployment.
标准的劳动力市场匹配函数忽略了雇佣的实质性变化。这一潜在部分的关键驱动因素是求职者和企业的搜索强度,以及职业介绍所的安置强度。然而,目前还没有将这三种搜索和安置强度整合成一个统一的理论框架。迄今为止,它们对劳动力市场的综合影响尚未得到估计。我们将这三种强度输入到劳动力市场匹配函数的理论框架中,以估计它们对求职率的影响——这些影响不是先验的。这可以为后续的理论构建提供重要的程式化事实。为了衡量求职和就业的强度,我们使用了来自德国联邦就业局(German Federal Employment Agency)的职业交流及其内部就业软件的在线活动大数据。结果表明,除了空缺和失业率之外,这三种强度都显著影响了就业结果的变化。在2019冠状病毒病危机期间,搜索强度的降低占失业人数的44%,占劳动力市场相关失业人数的16%。
{"title":"Matching for three: The search activities of workers, firms, and employment services","authors":"Tobias Hartl , Christian Hutter , Enzo Weber","doi":"10.1016/j.econmod.2025.107434","DOIUrl":"10.1016/j.econmod.2025.107434","url":null,"abstract":"<div><div>The standard labour market matching function neglects a substantial variation of hirings. A crucial driver of this latent part is the search intensity of job seekers and firms, as well as the placement intensity of employment agencies. However, there is still a lack of integration of all three search and placement intensities into a unified theoretical framework. Their combined labour market <em>effects</em> have not been estimated so far. We feed all three intensities into the theoretical framework of a labour market matching function to estimate their impact on the job finding rate – effects which are not settled a priori. This could provide important stylised facts for subsequent theory building. For measuring the search and placement intensities, we use big data on online activity obtained from the job exchange of the German Federal Employment Agency and from its internal placement-software. The results show that all three intensities significantly contribute to the variation in job findings beyond vacancies and unemployment. During the COVID-19 crisis, reduced search intensities accounted for 44 percent of lost hirings and 16 percent of the labour market related increase in unemployment.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107434"},"PeriodicalIF":4.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789949","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 paper investigates the impact of imported intangible capital on value added. While existing studies confirm the importance of intangible capital for growth, its distinct effects by source, imported versus domestic, remain underexplored. Using data from the World Input-Output Database for 2000–2014, we employ a two-way fixed effects model to estimate both long- and short-term impacts. The results show that intangible capital generally increases value added in the long run but reduces it in the short run due to adjustment costs before productivity gains are realised. Moreover, imported intangibles exert stronger negative short-term effects than domestic ones. However, this pattern reverses after the global financial crisis, suggesting that multinational firms are more resilient to shocks. These findings provide new insights into the role of intangible capital on economic growth and imply the need for institutional reform and financial support to minimise short-term adjustment costs.
{"title":"Imported intangible capital and sectoral economic growth: Evidence from 42 economies","authors":"Shuyue Liu, Radhika Lahiri, Annastiina Silvennoinen","doi":"10.1016/j.econmod.2025.107429","DOIUrl":"10.1016/j.econmod.2025.107429","url":null,"abstract":"<div><div>This paper investigates the impact of imported intangible capital on value added. While existing studies confirm the importance of intangible capital for growth, its distinct effects by source, imported versus domestic, remain underexplored. Using data from the World Input-Output Database for 2000–2014, we employ a two-way fixed effects model to estimate both long- and short-term impacts. The results show that intangible capital generally increases value added in the long run but reduces it in the short run due to adjustment costs before productivity gains are realised. Moreover, imported intangibles exert stronger negative short-term effects than domestic ones. However, this pattern reverses after the global financial crisis, suggesting that multinational firms are more resilient to shocks. These findings provide new insights into the role of intangible capital on economic growth and imply the need for institutional reform and financial support to minimise short-term adjustment costs.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107429"},"PeriodicalIF":4.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789953","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 : 2025-12-12DOI: 10.1016/j.econmod.2025.107432
Ziqing Wu , Leyi Chen , Lingpeng Shi
This paper investigates the impact of floods on corporate financialization in China. We find that flood shocks significantly increase corporate financialization by firms in non-disaster areas within the same prefecture-level city. Mechanism analysis shows that lower financing costs and expanded financing sizes are the main drivers. This suggests that local governments reallocate resources to support unaffected regions during adverse shocks, yet part of this support is channeled into financial assets rather than productive investments. Further analysis indicates that this effect is more pronounced with the severity of floods and for large firms. Our findings reveal a critical unintended consequence of government intervention in disaster response, highlighting the need for policy designs that guard against such financial resource misallocation. This study enriches our understanding of how adverse shocks affect corporate financial strategies.
{"title":"When the bordering levee breaks: The impact of floods on corporate financialization in China","authors":"Ziqing Wu , Leyi Chen , Lingpeng Shi","doi":"10.1016/j.econmod.2025.107432","DOIUrl":"10.1016/j.econmod.2025.107432","url":null,"abstract":"<div><div>This paper investigates the impact of floods on corporate financialization in China. We find that flood shocks significantly increase corporate financialization by firms in non-disaster areas within the same prefecture-level city. Mechanism analysis shows that lower financing costs and expanded financing sizes are the main drivers. This suggests that local governments reallocate resources to support unaffected regions during adverse shocks, yet part of this support is channeled into financial assets rather than productive investments. Further analysis indicates that this effect is more pronounced with the severity of floods and for large firms. Our findings reveal a critical unintended consequence of government intervention in disaster response, highlighting the need for policy designs that guard against such financial resource misallocation. This study enriches our understanding of how adverse shocks affect corporate financial strategies.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107432"},"PeriodicalIF":4.7,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789954","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 : 2025-12-11DOI: 10.1016/j.econmod.2025.107426
Vineeta Sharma
Growth transitions in India, identified through structural break models, often yield break dates closely aligned with recession periods. Since recessions have been found to be associated with persistent output losses, this underscores the regime dependent nature of output dynamics. This paper examines growth transitions in India as cyclical regime shifts, employing a Markov switching framework to identify three growth regimes - recessionary, moderate, and high growth during 1951–2022. It further examines the influence of domestic, external, and policy variables on regime-specific growth and transition probabilities. Results indicate that investment, productivity gains, and accommodative monetary policy drive growth during moderate regimes. However, rapid credit expansion and rising income inequality undermine high growth sustainability. While investment and monetary easing support recovery from recessions, fiscal policy is effective primarily in high-growth periods and is counterproductive during downturns. Robustness checks confirm the stability of these results across alternative model specifications and sample periods.
{"title":"What drives growth transitions in India? Evidence from a Markov switching analysis of regime dynamics","authors":"Vineeta Sharma","doi":"10.1016/j.econmod.2025.107426","DOIUrl":"10.1016/j.econmod.2025.107426","url":null,"abstract":"<div><div>Growth transitions in India, identified through structural break models, often yield break dates closely aligned with recession periods. Since recessions have been found to be associated with persistent output losses, this underscores the regime dependent nature of output dynamics. This paper examines growth transitions in India as cyclical regime shifts, employing a Markov switching framework to identify three growth regimes - recessionary, moderate, and high growth during 1951–2022. It further examines the influence of domestic, external, and policy variables on regime-specific growth and transition probabilities. Results indicate that investment, productivity gains, and accommodative monetary policy drive growth during moderate regimes. However, rapid credit expansion and rising income inequality undermine high growth sustainability. While investment and monetary easing support recovery from recessions, fiscal policy is effective primarily in high-growth periods and is counterproductive during downturns. Robustness checks confirm the stability of these results across alternative model specifications and sample periods.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107426"},"PeriodicalIF":4.7,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789957","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 : 2025-12-11DOI: 10.1016/j.econmod.2025.107435
Lianchao Yu , Lele Zhu , Jinting Dong
Although prior research has largely emphasized the benefits of environmental judicial specialization, its potential adverse effects remain understudied. Using a multiperiod difference-in-differences design within the quasi-experimental setting of China's environmental court establishment (ECE), this study examines how ECE influences corporate labor income share (CLIS). The findings show that ECE significantly reduces CLIS. Decomposition analysis indicates that although ECE raises labor productivity, it does not generate corresponding increases in employee compensation, thereby suppressing CLIS. Mechanism analysis shows that ECE promotes investment structure optimization and technological innovation but simultaneously encourages capital-biased income allocation that further reduces CLIS. Cross-sectional evidence reveals that the negative effect is stronger in regions with weaker wage bargaining power; in capital-intensive, highly competitive, and heavily polluting industries; and among privately owned firms and those with poorer social responsibility performance. Governance mechanism analysis demonstrates that the employee director system and employee stock ownership plan can mitigate this adverse influence. Overall, the study uncovers overlooked distributional consequences of environmental judicial specialization and identifies effective compensatory governance mechanisms.
{"title":"The dark side of environmental judicial specialization: Corporate labor income share in China","authors":"Lianchao Yu , Lele Zhu , Jinting Dong","doi":"10.1016/j.econmod.2025.107435","DOIUrl":"10.1016/j.econmod.2025.107435","url":null,"abstract":"<div><div>Although prior research has largely emphasized the benefits of environmental judicial specialization, its potential adverse effects remain understudied. Using a multiperiod difference-in-differences design within the quasi-experimental setting of China's environmental court establishment (ECE), this study examines how ECE influences corporate labor income share (CLIS). The findings show that ECE significantly reduces CLIS. Decomposition analysis indicates that although ECE raises labor productivity, it does not generate corresponding increases in employee compensation, thereby suppressing CLIS. Mechanism analysis shows that ECE promotes investment structure optimization and technological innovation but simultaneously encourages capital-biased income allocation that further reduces CLIS. Cross-sectional evidence reveals that the negative effect is stronger in regions with weaker wage bargaining power; in capital-intensive, highly competitive, and heavily polluting industries; and among privately owned firms and those with poorer social responsibility performance. Governance mechanism analysis demonstrates that the employee director system and employee stock ownership plan can mitigate this adverse influence. Overall, the study uncovers overlooked distributional consequences of environmental judicial specialization and identifies effective compensatory governance mechanisms.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107435"},"PeriodicalIF":4.7,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839399","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 : 2025-12-11DOI: 10.1016/j.econmod.2025.107436
Tayier Tudi , Mingjie Ni
This study investigates whether and how ESG shareholder engagement enhances the efficiency of corporate credit allocation in China. Using panel data on non-financial listed firms from 2008 to 2022, we find that greater equity ownership by ESG mutual funds significantly mitigates corporate credit misallocation. Guided by information asymmetry and agency theories, the results indicate that ESG investors improve credit allocation efficiency by easing financing constraints and enhancing investment efficiency. The effects are more pronounced in firms with stronger internal governance and higher transparency, but weaker in those facing severe information frictions. Overall, the evidence underscores that ESG-driven external governance complements internal control mechanisms and contributes to more efficient capital allocation. Strengthening ESG investment and disclosure practices can therefore foster financial efficiency and promote sustainable economic growth in emerging markets.
{"title":"From activism to efficiency: Does ESG shareholder engagement mitigate credit misallocation?","authors":"Tayier Tudi , Mingjie Ni","doi":"10.1016/j.econmod.2025.107436","DOIUrl":"10.1016/j.econmod.2025.107436","url":null,"abstract":"<div><div>This study investigates whether and how ESG shareholder engagement enhances the efficiency of corporate credit allocation in China. Using panel data on non-financial listed firms from 2008 to 2022, we find that greater equity ownership by ESG mutual funds significantly mitigates corporate credit misallocation. Guided by information asymmetry and agency theories, the results indicate that ESG investors improve credit allocation efficiency by easing financing constraints and enhancing investment efficiency. The effects are more pronounced in firms with stronger internal governance and higher transparency, but weaker in those facing severe information frictions. Overall, the evidence underscores that ESG-driven external governance complements internal control mechanisms and contributes to more efficient capital allocation. Strengthening ESG investment and disclosure practices can therefore foster financial efficiency and promote sustainable economic growth in emerging markets.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"155 ","pages":"Article 107436"},"PeriodicalIF":4.7,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839397","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}