Pub Date : 2025-09-23DOI: 10.1016/j.asieco.2025.102049
Zhe Kong, Huanhuan Liang
This paper investigates the impact of urban rail transit improvements on rent sharing between labor and capital within firms. By integrating firm-specific human capital accumulation into a Nash bargaining model, we theoretically illustrate that such improvements enhance outside options for both labor and capital, primarily benefiting labor in rent distribution. The empirical analysis, which employs event study methods and panel data from Chinese firms, supports this hypothesis, revealing that urban rail enhancements significantly increase labor’s share of firm rents. However, this effect diminishes as bargaining power of labor increases. This study has important policy implications for administrators in developing countries, who face challenges related to factor income distribution.
{"title":"Urban rail transit and inner-firm labor–capital rent sharing: Evidence from China","authors":"Zhe Kong, Huanhuan Liang","doi":"10.1016/j.asieco.2025.102049","DOIUrl":"10.1016/j.asieco.2025.102049","url":null,"abstract":"<div><div>This paper investigates the impact of urban rail transit improvements on rent sharing between labor and capital within firms. By integrating firm-specific human capital accumulation into a Nash bargaining model, we theoretically illustrate that such improvements enhance outside options for both labor and capital, primarily benefiting labor in rent distribution. The empirical analysis, which employs event study methods and panel data from Chinese firms, supports this hypothesis, revealing that urban rail enhancements significantly increase labor’s share of firm rents. However, this effect diminishes as bargaining power of labor increases. This study has important policy implications for administrators in developing countries, who face challenges related to factor income distribution.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102049"},"PeriodicalIF":3.4,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-22DOI: 10.1016/j.asieco.2025.102050
Lijun Zang , Lyubing Feng
This study comprehensively utilizes data from the 2005 and 2015 China 1 % Population Sample Surveys and the number of first-instance criminal judgment documents published by China Judgments Online to explore the long-term effects of labor outflow on crime in the origin area. The results reveal that while labor outflow does not significantly affect the overall crime rate, it does have significant effects on different types of crimes. Specifically, labor outflow increases low-skill crimes, but reduces high-skill crimes and passion crimes. Mechanism analysis indicates that labor outflow primarily influences local crime rates through the human capital mechanism, namely by reducing the long-term accumulation of human capital in the origin region, thereby lowering the opportunity cost of crime, the likelihood of high-skill crimes, and the ability to evade arrest after committing a crime.
{"title":"The long-term effect of labor outflow on crime: Evidence from China","authors":"Lijun Zang , Lyubing Feng","doi":"10.1016/j.asieco.2025.102050","DOIUrl":"10.1016/j.asieco.2025.102050","url":null,"abstract":"<div><div>This study comprehensively utilizes data from the 2005 and 2015 China 1 % Population Sample Surveys and the number of first-instance criminal judgment documents published by China Judgments Online to explore the long-term effects of labor outflow on crime in the origin area. The results reveal that while labor outflow does not significantly affect the overall crime rate, it does have significant effects on different types of crimes. Specifically, labor outflow increases low-skill crimes, but reduces high-skill crimes and passion crimes. Mechanism analysis indicates that labor outflow primarily influences local crime rates through the human capital mechanism, namely by reducing the long-term accumulation of human capital in the origin region, thereby lowering the opportunity cost of crime, the likelihood of high-skill crimes, and the ability to evade arrest after committing a crime.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102050"},"PeriodicalIF":3.4,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-22DOI: 10.1016/j.asieco.2025.102052
Biswajit Panigrahi, K.P. Prabheesh
This study critically reviews the literature on the measures of capital controls, focusing on the conceptual and empirical challenges associated with both de jure and de facto indicators. We document the historical evolution of these measures over the period 1980–2022, classify them into subcategories, and assess their relative strengths, weaknesses, and suitability for policy analysis. We find that de jure measures, particularly capital control actions (CCAs), are generally more appropriate than de facto measures for evaluating policy effects, as they better capture the variation in legal restrictions. Among the de jure indicators, the intensity of policy capture varies, with Pasricha et al. (2015) outperforming Fernández et al. (2016) and Chinn and Ito (2008). We also identify two critical gaps in existing datasets: (i) the absence of direction-specific (inward/outward) and action-specific (tightening/easing) coding for financial sector capital controls; and (ii) the lack of a severity-weighted approach to CCAs that distinguishes marginal procedural changes from sweeping policy shifts. Addressing these gaps offers clear avenues for the construction of more granular and analytically powerful capital controls indicators.
{"title":"Understanding capital controls measurement: Need, classification, and suitability","authors":"Biswajit Panigrahi, K.P. Prabheesh","doi":"10.1016/j.asieco.2025.102052","DOIUrl":"10.1016/j.asieco.2025.102052","url":null,"abstract":"<div><div>This study critically reviews the literature on the measures of capital controls, focusing on the conceptual and empirical challenges associated with both de jure and de facto indicators. We document the historical evolution of these measures over the period 1980–2022, classify them into subcategories, and assess their relative strengths, weaknesses, and suitability for policy analysis. We find that de jure measures, particularly capital control actions (CCAs), are generally more appropriate than de facto measures for evaluating policy effects, as they better capture the variation in legal restrictions. Among the de jure indicators, the intensity of policy capture varies, with Pasricha et al. (2015) outperforming Fernández et al. (2016) and Chinn and Ito (2008). We also identify two critical gaps in existing datasets: (i) the absence of direction-specific (inward/outward) and action-specific (tightening/easing) coding for financial sector capital controls; and (ii) the lack of a severity-weighted approach to CCAs that distinguishes marginal procedural changes from sweeping policy shifts. Addressing these gaps offers clear avenues for the construction of more granular and analytically powerful capital controls indicators.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102052"},"PeriodicalIF":3.4,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-13DOI: 10.1016/j.asieco.2025.102035
Yongli Chen , Jing Li
This paper utilizes the China Migrants Dynamic Survey data spanning 2011–2018 to conduct a systematic analysis of the impact of dockless bike sharing on the social integration of migrants. Employing a staggered DID approach that exploits the exogenous entry of bike sharing across cities, the study reveals significant enhancements in the willingness of migrants for social integration. The underlying mechanisms include improvement of economic capabilities, facilitation of local social ties, and increased accessibility to public services. After robustness checks, these findings remain valid. Heterogeneity analysis indicates that the entry of bike sharing has a greater impact on urban-to-urban migration, highly educated migrants, inter-provincial movement, and those in the initial stages of migration. From the community perspective, the impact is less pronounced in communities with a higher proportion of migrants and full-time coordinators. This research contributes to the literature on the externalities of sharing economy and augments the discourse on social integration from a transportation perspective, offering significant theoretical and policy implications for enhancing migrant integration into urban life and alleviating social exclusion among transport disadvantaged groups.
{"title":"Micromobility and the social integration of migrant population: Empirical evidence from bike sharing","authors":"Yongli Chen , Jing Li","doi":"10.1016/j.asieco.2025.102035","DOIUrl":"10.1016/j.asieco.2025.102035","url":null,"abstract":"<div><div>This paper utilizes the China Migrants Dynamic Survey data spanning 2011–2018 to conduct a systematic analysis of the impact of dockless bike sharing on the social integration of migrants. Employing a staggered DID approach that exploits the exogenous entry of bike sharing across cities, the study reveals significant enhancements in the willingness of migrants for social integration. The underlying mechanisms include improvement of economic capabilities, facilitation of local social ties, and increased accessibility to public services. After robustness checks, these findings remain valid. Heterogeneity analysis indicates that the entry of bike sharing has a greater impact on urban-to-urban migration, highly educated migrants, inter-provincial movement, and those in the initial stages of migration. From the community perspective, the impact is less pronounced in communities with a higher proportion of migrants and full-time coordinators. This research contributes to the literature on the externalities of sharing economy and augments the discourse on social integration from a transportation perspective, offering significant theoretical and policy implications for enhancing migrant integration into urban life and alleviating social exclusion among transport disadvantaged groups.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102035"},"PeriodicalIF":3.4,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-10DOI: 10.1016/j.asieco.2025.102036
Xingshu Ma , Fung Kwan
Land tenure security is widely recognized as a critical factor in facilitating labor reallocation across many developing economies. This study examines the impact of China’s latest land titling programme (LTP), which aimed to increase land tenure security by issuing certificates after measuring and registering agricultural land across rural households. Using nationally representative household-level data, we employ a triple difference approach (comparing households with land endowment to those without) and find that, in general, the LTP exerts a significantly positive effect on rural households’ migration for non-farm work. We further observe that such influences on migration are largely affected by regional differences and the sectoral composition. Additionally, transportation construction and rising housing prices do not significantly affect the policy effectiveness, while government expenditure for people’s livelihood is critical to the LTP's effectiveness, though the effects vary across distinct categories of livelihood expenditure: social security and employment, education, and healthcare. Finally, the regional variations in policy effect can be attributed to the relative strength of two countervailing mechanisms: the “labour absorption effect” and the “migration promotion effect”—differences driven by sectoral disparities across regions.
{"title":"Land titling: Promoting internal migration in China?","authors":"Xingshu Ma , Fung Kwan","doi":"10.1016/j.asieco.2025.102036","DOIUrl":"10.1016/j.asieco.2025.102036","url":null,"abstract":"<div><div>Land tenure security is widely recognized as a critical factor in facilitating labor reallocation across many developing economies. This study examines the impact of China’s latest land titling programme (LTP), which aimed to increase land tenure security by issuing certificates after measuring and registering agricultural land across rural households. Using nationally representative household-level data, we employ a triple difference approach (comparing households with land endowment to those without) and find that, in general, the LTP exerts a significantly positive effect on rural households’ migration for non-farm work. We further observe that such influences on migration are largely affected by regional differences and the sectoral composition. Additionally, transportation construction and rising housing prices do not significantly affect the policy effectiveness, while government expenditure for people’s livelihood is critical to the LTP's effectiveness, though the effects vary across distinct categories of livelihood expenditure: social security and employment, education, and healthcare. Finally, the regional variations in policy effect can be attributed to the relative strength of two countervailing mechanisms: the “labour absorption effect” and the “migration promotion effect”—differences driven by sectoral disparities across regions.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102036"},"PeriodicalIF":3.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-08DOI: 10.1016/j.asieco.2025.102038
Weijie Jiang , Yike Shan
As a basic factor, cultural differences exert long-term impacts on regional collaborative innovation and knowledge spillovers. This paper estimates the causal effect of surname distance on inter-city collaborative innovation in China. The findings indicate that greater surname distance significantly impedes collaborative innovation between cities over time. These conclusions remain robust even when core explanatory variables are substituted, geographical distance is controlled for, and are particularly pronounced in interprovincial collaborations. Notably, surname distance exerts its most substantial inhibitory effect on collaborative innovation between large and small cities, as well as in partnerships involving industry-university collaboration and top-tier universities. Mechanistic analysis suggests that the increase in surname distance may hinder innovation activities through two principal pathways: it reduces inter-regional communication and exacerbates the trust gap between regions. Further analysis reveals that as surname distance increases, both the quality and foundational aspects of interurban collaborative innovation deteriorate.
{"title":"Surname distance and inter-city collaborative innovation","authors":"Weijie Jiang , Yike Shan","doi":"10.1016/j.asieco.2025.102038","DOIUrl":"10.1016/j.asieco.2025.102038","url":null,"abstract":"<div><div>As a basic factor, cultural differences exert long-term impacts on regional collaborative innovation and knowledge spillovers. This paper estimates the causal effect of surname distance on inter-city collaborative innovation in China. The findings indicate that greater surname distance significantly impedes collaborative innovation between cities over time. These conclusions remain robust even when core explanatory variables are substituted, geographical distance is controlled for, and are particularly pronounced in interprovincial collaborations. Notably, surname distance exerts its most substantial inhibitory effect on collaborative innovation between large and small cities, as well as in partnerships involving industry-university collaboration and top-tier universities. Mechanistic analysis suggests that the increase in surname distance may hinder innovation activities through two principal pathways: it reduces inter-regional communication and exacerbates the trust gap between regions. Further analysis reveals that as surname distance increases, both the quality and foundational aspects of interurban collaborative innovation deteriorate.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102038"},"PeriodicalIF":3.4,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-07DOI: 10.1016/j.asieco.2025.102040
Zhiyuan Gao , Ziying Jia , Mengwen Hua , Yu Hao
The study manually compiled city-level environmental auditing (EA) data from the National Audit Office to examine how EA influences the advancement of low-carbon development. Using panel data from 281 prefecture-level cities over the period 2008–2021, the research systematically investigates the relationship between EA and carbon emissions. The findings reveal that EA helps reduce urban carbon emissions, primarily by fostering green technological progress and lowering energy consumption. Furthermore, the study validates moderating effects from both micro- and macro-level perspectives: increased public environmental awareness and optimized industrial structure enhance the carbon reduction impact of EA. Heterogeneity analysis indicates that the carbon mitigation effect of EA is more pronounced in cities with greater fiscal investment, non-traditional industrial bases, higher degrees of marketization, and more advanced digital economies. This research not only enriches the literature on carbon emissions but also provides robust empirical evidence and policy recommendations regarding the role of government EA in driving low-carbon transitions and achieving China’s dual carbon goals. The conclusions provide essential guidance for policymakers to optimize EA policies and facilitate China’s economic shift toward sustainable, low-carbon development, which has important theoretical and practical implications.
{"title":"Green governance: The impact of environmental auditing on carbon emissions in Chinese cities","authors":"Zhiyuan Gao , Ziying Jia , Mengwen Hua , Yu Hao","doi":"10.1016/j.asieco.2025.102040","DOIUrl":"10.1016/j.asieco.2025.102040","url":null,"abstract":"<div><div>The study manually compiled city-level environmental auditing (EA) data from the National Audit Office to examine how EA influences the advancement of low-carbon development. Using panel data from 281 prefecture-level cities over the period 2008–2021, the research systematically investigates the relationship between EA and carbon emissions. The findings reveal that EA helps reduce urban carbon emissions, primarily by fostering green technological progress and lowering energy consumption. Furthermore, the study validates moderating effects from both micro- and macro-level perspectives: increased public environmental awareness and optimized industrial structure enhance the carbon reduction impact of EA. Heterogeneity analysis indicates that the carbon mitigation effect of EA is more pronounced in cities with greater fiscal investment, non-traditional industrial bases, higher degrees of marketization, and more advanced digital economies. This research not only enriches the literature on carbon emissions but also provides robust empirical evidence and policy recommendations regarding the role of government EA in driving low-carbon transitions and achieving China’s dual carbon goals. The conclusions provide essential guidance for policymakers to optimize EA policies and facilitate China’s economic shift toward sustainable, low-carbon development, which has important theoretical and practical implications.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102040"},"PeriodicalIF":3.4,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-06DOI: 10.1016/j.asieco.2025.102039
Chen Feng , Bei-Bei Shi , Xue-Cheng Yin , Yi Zeng , Guorui Gao
With the increasingly serious environmental pollution problem, how to effectively curb environmental pollution and reduce corporate emissions has become an important issue that urgently needs to be addressed. A large number of studies evaluating environmental protection policies have overlooked the additional social costs incurred during the environmental governance. Therefore, we systematically analyze the impact of environmental regulation on real estate prices, taking the pilot policy of Sulfur Dioxide Emissions Trading (SDET) in China as an opportunity. The results show that the SDET has led to a significant increase in house prices in the pilot cities, and the magnitude of the increase expands with the increase in the number of participating enterprises and the turnover of emissions trading. The mechanistic tests show that the emissions trading pilot policy has produced a population agglomeration effect while achieving environmental benefits, improved residents' willingness to pay for local housing, and promoted house prices by increasing housing demand. The research conclusions of this paper provide a decision-making reference for the government to consider the environmental effects and social effects as a whole when formulating environmental policies.
{"title":"Environmental constraint and house price: Evidence from China","authors":"Chen Feng , Bei-Bei Shi , Xue-Cheng Yin , Yi Zeng , Guorui Gao","doi":"10.1016/j.asieco.2025.102039","DOIUrl":"10.1016/j.asieco.2025.102039","url":null,"abstract":"<div><div>With the increasingly serious environmental pollution problem, how to effectively curb environmental pollution and reduce corporate emissions has become an important issue that urgently needs to be addressed. A large number of studies evaluating environmental protection policies have overlooked the additional social costs incurred during the environmental governance. Therefore, we systematically analyze the impact of environmental regulation on real estate prices, taking the pilot policy of Sulfur Dioxide Emissions Trading (SDET) in China as an opportunity. The results show that the SDET has led to a significant increase in house prices in the pilot cities, and the magnitude of the increase expands with the increase in the number of participating enterprises and the turnover of emissions trading. The mechanistic tests show that the emissions trading pilot policy has produced a population agglomeration effect while achieving environmental benefits, improved residents' willingness to pay for local housing, and promoted house prices by increasing housing demand. The research conclusions of this paper provide a decision-making reference for the government to consider the environmental effects and social effects as a whole when formulating environmental policies.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102039"},"PeriodicalIF":3.4,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-04DOI: 10.1016/j.asieco.2025.102037
Guirong Mao , Jia Wu , Qinyang Yao
This study examines how the linguistic distance between migrants’ cities of origin and destination affects their entrepreneurial activities. Utilizing data from the China Migrant Dynamic Survey in 2017, we find that the likelihood of migrants’ entrepreneurial activities in destination cities initially increases with linguistic distance and then declines. This inverted U-shaped relationship emerges from two opposing effects. A modest linguistic difference helps migrants identify business opportunities. We show that migrants from regions with distinct culinary traditions are more likely to start a business in the catering industry to meet the demand for their home cuisine. A longer linguistic difference also introduces difficulties for migrants in adapting to social norms and creates barriers to build social ties and trust. Our findings suggest that promoting a moderate cultural diversity in a region may help stimulate entrepreneurial vitality. (JEL: J15; J61)
{"title":"Linguistic distance and entrepreneurship of migrants: Evidence from China","authors":"Guirong Mao , Jia Wu , Qinyang Yao","doi":"10.1016/j.asieco.2025.102037","DOIUrl":"10.1016/j.asieco.2025.102037","url":null,"abstract":"<div><div>This study examines how the linguistic distance between migrants’ cities of origin and destination affects their entrepreneurial activities. Utilizing data from the China Migrant Dynamic Survey in 2017, we find that the likelihood of migrants’ entrepreneurial activities in destination cities initially increases with linguistic distance and then declines. This inverted U-shaped relationship emerges from two opposing effects. A modest linguistic difference helps migrants identify business opportunities. We show that migrants from regions with distinct culinary traditions are more likely to start a business in the catering industry to meet the demand for their home cuisine. A longer linguistic difference also introduces difficulties for migrants in adapting to social norms and creates barriers to build social ties and trust. Our findings suggest that promoting a moderate cultural diversity in a region may help stimulate entrepreneurial vitality. (JEL: J15; J61)</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102037"},"PeriodicalIF":3.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-03DOI: 10.1016/j.asieco.2025.102034
Dandan Liu , Jin Liu , Qing Xu , Qing Yang
In the new context of the digital economy, e-commerce based on digital platforms has become an important driving force for rural industrial transformation especially in developing countries. Based on the quasi-natural experiment of the Rural E-Commerce Demonstration County (REDC) program, the study uses the county-level data from China (2000–2020), and employs a time-varying DID method combined with machine learning techniques to explore the impact of rural e-commerce on industrial structure transformation. The findings indicate that the REDC program significantly fosters industrial upgrading, with varying effects across regions due to differences in resource endowments and development levels. Mechanism analysis suggests that rural e-commerce drives industrial upgrading through three primary channels: labor reallocation, dynamic adjustment of entrepreneurial resources, and industrial agglomeration. Further analysis indicates that rural e-commerce also plays a role in promoting coordinated industrial development. Utilizing machine learning methods, we identify a nonlinear relationship between rural e-commerce and industrial upgrading, which unfolds in three distinct stages: initial adaptation, rapid upgrading, and stable development. This paper proposes that differentiated e-commerce programs, smooth factor mobility systems, and industrial planning will assist rural areas in adapting to the e-commerce context and thereby facilitate rural economic transformation.
{"title":"How e-commerce reshape rural industrial transition: Evidence from China’s rural e-commerce demonstration counties program","authors":"Dandan Liu , Jin Liu , Qing Xu , Qing Yang","doi":"10.1016/j.asieco.2025.102034","DOIUrl":"10.1016/j.asieco.2025.102034","url":null,"abstract":"<div><div>In the new context of the digital economy, e-commerce based on digital platforms has become an important driving force for rural industrial transformation especially in developing countries. Based on the quasi-natural experiment of the Rural E-Commerce Demonstration County (REDC) program, the study uses the county-level data from China (2000–2020), and employs a time-varying DID method combined with machine learning techniques to explore the impact of rural e-commerce on industrial structure transformation. The findings indicate that the REDC program significantly fosters industrial upgrading, with varying effects across regions due to differences in resource endowments and development levels. Mechanism analysis suggests that rural e-commerce drives industrial upgrading through three primary channels: labor reallocation, dynamic adjustment of entrepreneurial resources, and industrial agglomeration. Further analysis indicates that rural e-commerce also plays a role in promoting coordinated industrial development. Utilizing machine learning methods, we identify a nonlinear relationship between rural e-commerce and industrial upgrading, which unfolds in three distinct stages: initial adaptation, rapid upgrading, and stable development. This paper proposes that differentiated e-commerce programs, smooth factor mobility systems, and industrial planning will assist rural areas in adapting to the e-commerce context and thereby facilitate rural economic transformation.</div></div>","PeriodicalId":47583,"journal":{"name":"Journal of Asian Economics","volume":"101 ","pages":"Article 102034"},"PeriodicalIF":3.4,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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