Pub Date : 2024-12-26DOI: 10.1016/j.eap.2024.12.030
Yian Chen , Lin Chen , Guiping Li
The issue of how human capital expansion significantly influences urban innovation initiatives, is of great importance. Yet researchers have limited causal insights into whether human capital expansion can boost urban innovation. Using data on prefecture-level urban innovation indices between 2000 and 2016, and employing an intensity Difference-in-Differences (DID) strategy, we examine how the human capital expansion policy affects urban innovation. We find that prefectures with a higher number of universities experienced a greater gain in urban innovation after 2003. We also find that the expansion of human capital in science and engineering (S&E) fields plays the most significant role in promoting urban innovation. Finally, we investigate the mechanisms through which human capital expansion affects urban innovation. We find that the urban innovation-promoting effect of the human capital expansion program is partly channeled through its impact on increased innovative activities, producing a “talent agglomeration effect” and attracting immigrants.
{"title":"Human capital expansion and urban innovation","authors":"Yian Chen , Lin Chen , Guiping Li","doi":"10.1016/j.eap.2024.12.030","DOIUrl":"10.1016/j.eap.2024.12.030","url":null,"abstract":"<div><div>The issue of how human capital expansion significantly influences urban innovation initiatives, is of great importance. Yet researchers have limited causal insights into whether human capital expansion can boost urban innovation. Using data on prefecture-level urban innovation indices between 2000 and 2016, and employing an intensity Difference-in-Differences (DID) strategy, we examine how the human capital expansion policy affects urban innovation. We find that prefectures with a higher number of universities experienced a greater gain in urban innovation after 2003. We also find that the expansion of human capital in science and engineering (S&E) fields plays the most significant role in promoting urban innovation. Finally, we investigate the mechanisms through which human capital expansion affects urban innovation. We find that the urban innovation-promoting effect of the human capital expansion program is partly channeled through its impact on increased innovative activities, producing a “talent agglomeration effect” and attracting immigrants.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 870-887"},"PeriodicalIF":7.9,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132295","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 : 2024-12-25DOI: 10.1016/j.eap.2024.12.028
Rui Chen , Yufeng Wang , Qi Wang , Lingling Zhang , Ruoxi Xiong
In a “digital” era, developing the digital economy has become a key stepping stone for advancing new urbanization and common prosperity. This study explores the dynamic evolution characteristics of digital economy and new urbanization from the temporal-spatial dimensions through kernel density estimation (KDE). Spatial autocorrelation analysis and panel data spatial Durbin model (SDM) were used to empirically test the impact process, transmission path and spatial spillover effect of digital economy on new urbanization. In addition, the study further used the spatial distance threshold method and spatial difference-in-differences (SDID) to conduct detailed empirical tests on the heterogeneity of multi-distance thresholds, regional heterogeneity and robustness of the results of impact of digital economy on new urbanization. The study found that: (1) Digital economy and new urbanization both displayed a general growth tendency from 2011 to 2019, but both had significant temporal-spatial differences. (2) The improvement of digital economy not only supported local new urbanization efforts, but also generated positive spatial spillover effects on new urbanization in neighboring regions. (3) The spatial spillover of digital economy exhibited boundary and geographical attenuation characteristics effects on new urbanization, with spillover peaking at 800 km and attenuation reaching its limit at 1800km. (4) For regional heterogeneity, eastern region and urban agglomeration were more sufficient for the release of dividend and spillover spread of digital economy development. Technological innovation and industrial structure optimization were identified as crucial paths for transmission mechanism through which digital economy promote the construction of new urbanization. Therefore, to achieve regional coordination and common prosperity and further enhance spillover effects, efforts be made to integrate the digital economy with new urbanization, especially in central and western regions and non-central cities.
{"title":"Unleashing the digital dividend: Exploring how the digital economy promotes the construction of new urbanization in China’s 284 prefecture-level cities?","authors":"Rui Chen , Yufeng Wang , Qi Wang , Lingling Zhang , Ruoxi Xiong","doi":"10.1016/j.eap.2024.12.028","DOIUrl":"10.1016/j.eap.2024.12.028","url":null,"abstract":"<div><div>In a “digital” era, developing the digital economy has become a key stepping stone for advancing new urbanization and common prosperity. This study explores the dynamic evolution characteristics of digital economy and new urbanization from the temporal-spatial dimensions through kernel density estimation (KDE). Spatial autocorrelation analysis and panel data spatial Durbin model (SDM) were used to empirically test the impact process, transmission path and spatial spillover effect of digital economy on new urbanization. In addition, the study further used the spatial distance threshold method and spatial difference-in-differences (SDID) to conduct detailed empirical tests on the heterogeneity of multi-distance thresholds, regional heterogeneity and robustness of the results of impact of digital economy on new urbanization. The study found that: (1) Digital economy and new urbanization both displayed a general growth tendency from 2011 to 2019, but both had significant temporal-spatial differences. (2) The improvement of digital economy not only supported local new urbanization efforts, but also generated positive spatial spillover effects on new urbanization in neighboring regions. (3) The spatial spillover of digital economy exhibited boundary and geographical attenuation characteristics effects on new urbanization, with spillover peaking at 800 km and attenuation reaching its limit at 1800km. (4) For regional heterogeneity, eastern region and urban agglomeration were more sufficient for the release of dividend and spillover spread of digital economy development. Technological innovation and industrial structure optimization were identified as crucial paths for transmission mechanism through which digital economy promote the construction of new urbanization. Therefore, to achieve regional coordination and common prosperity and further enhance spillover effects, efforts be made to integrate the digital economy with new urbanization, especially in central and western regions and non-central cities.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 818-834"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131745","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 : 2024-12-25DOI: 10.1016/j.eap.2024.12.029
Andi Cao, Houjian Li
With the advancement of the economy and society, the role of women in governing rural societies has become increasingly prominent. This study utilizes large-scale data from administrative villages, obtained through China's agricultural census, and employs the endogenous switching regression model and various treatment effect models to explore the impact of female officials on the rural toilet revolution and its underlying mechanisms. The results suggest that female officials can drive the rural toilet revolution, a conclusion that remains robust after a series of robust tests. Additionally, heterogeneity analysis reveals that female officials are more effective in promoting the toilet revolution in economically backward western regions, in villages with concentrated power in the hands of the village secretary, and in smaller villages. Furthermore, in villages not inclined to accept female officials, women encounter significant challenges in advancing the toilet revolution. The positive impact of female officials changes non-linearly with the increase in the proportion of women among village officials, and there is an optimal proportion. Moreover, causal mediation analysis reveals that female officials promote the toilet revolution by fostering collective action within the village and alleviating poverty. These findings provide insights for formulating policies to improve rural sanitation facilities.
{"title":"Leading change: The impact of female officials on the rural toilet revolution in China","authors":"Andi Cao, Houjian Li","doi":"10.1016/j.eap.2024.12.029","DOIUrl":"10.1016/j.eap.2024.12.029","url":null,"abstract":"<div><div>With the advancement of the economy and society, the role of women in governing rural societies has become increasingly prominent. This study utilizes large-scale data from administrative villages, obtained through China's agricultural census, and employs the endogenous switching regression model and various treatment effect models to explore the impact of female officials on the rural toilet revolution and its underlying mechanisms. The results suggest that female officials can drive the rural toilet revolution, a conclusion that remains robust after a series of robust tests. Additionally, heterogeneity analysis reveals that female officials are more effective in promoting the toilet revolution in economically backward western regions, in villages with concentrated power in the hands of the village secretary, and in smaller villages. Furthermore, in villages not inclined to accept female officials, women encounter significant challenges in advancing the toilet revolution. The positive impact of female officials changes non-linearly with the increase in the proportion of women among village officials, and there is an optimal proportion. Moreover, causal mediation analysis reveals that female officials promote the toilet revolution by fostering collective action within the village and alleviating poverty. These findings provide insights for formulating policies to improve rural sanitation facilities.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 694-716"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131748","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 : 2024-12-25DOI: 10.1016/j.eap.2024.12.027
Lei Li , Yifan Zheng , Shaojun Ma , Xiaoyu Ma , Jian Zuo , Michael Goodsite
Green total factor productivity (GTFP) evaluates the efficiency of economic output concerning environmental and resource input consumption, serving as a critical metric for sustainable economic development. Although existing literature has explored various determinants of GTFP, there is a lack of empirical studies examining the relationship between extreme climate (EC) and GTFP. This study investigates the impact of EC on GTFP using balanced panel data from 30 Chinese provinces from 2005 to 2022. Our findings indicate that EC significantly and negatively affects GTFP, a conclusion that remains robust after a series of tests. Significant regional heterogeneity exists in this impact, with western regions being the most severely affected. Extreme rainfall exerts the most pronounced negative effect among different extreme climate events. Mechanism tests reveal that EC reduces GTFP by undermining economic growth and diminishing knowledge spillovers. Further research indicates that the negative impact of EC on GTFP is predominantly observed in areas with high climate policy uncertainty and low human capital levels. The effect shifts from negative to positive in regions with high human capital. These findings underscore the urgent need for targeted climate resilience policies to safeguard and enhance regional GTFP.
{"title":"Unfavorable weather, favorable insights: Exploring the impact of extreme climate on green total factor productivity","authors":"Lei Li , Yifan Zheng , Shaojun Ma , Xiaoyu Ma , Jian Zuo , Michael Goodsite","doi":"10.1016/j.eap.2024.12.027","DOIUrl":"10.1016/j.eap.2024.12.027","url":null,"abstract":"<div><div>Green total factor productivity (GTFP) evaluates the efficiency of economic output concerning environmental and resource input consumption, serving as a critical metric for sustainable economic development. Although existing literature has explored various determinants of GTFP, there is a lack of empirical studies examining the relationship between extreme climate (EC) and GTFP. This study investigates the impact of EC on GTFP using balanced panel data from 30 Chinese provinces from 2005 to 2022. Our findings indicate that EC significantly and negatively affects GTFP, a conclusion that remains robust after a series of tests. Significant regional heterogeneity exists in this impact, with western regions being the most severely affected. Extreme rainfall exerts the most pronounced negative effect among different extreme climate events. Mechanism tests reveal that EC reduces GTFP by undermining economic growth and diminishing knowledge spillovers. Further research indicates that the negative impact of EC on GTFP is predominantly observed in areas with high climate policy uncertainty and low human capital levels. The effect shifts from negative to positive in regions with high human capital. These findings underscore the urgent need for targeted climate resilience policies to safeguard and enhance regional GTFP.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 626-640"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132214","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 : 2024-12-21DOI: 10.1016/j.eap.2024.12.026
Mengjuan Ma , Ziling Yu , Lili Ma , Wenyuan Guo
Institutional openness is crucial for advancing cross-border e-commerce (CBE). While existing literature examines the micro-level factors influencing CBE development, the impact of institutional openness on CBE remains insufficiently explored. This study focuses on China's Pilot Free Trade Zones (PFTZs), a critical initiative for promoting institutional openness, and investigates their effects on CBE development across Chinese cities. The findings indicate that institutional openness has significantly fostered the rapid growth of CBE in these cities. Critical pathways for this growth include external and internal openness measures. Furthermore, institutional openness has not yet exerted substantial radiation or siphoning effects on CBE in neighboring cities. Heterogeneity analysis suggests that institutional openness can further enhance CBE development in cities with weaker informal institutions, lower administrative levels, underdeveloped digital economies, and non-participation in the Belt and Road Initiative (BRI). This study provides a theoretical foundation and policy recommendations for expediting institutional openness and promoting the growth of CBE.
{"title":"Institutional openness and city cross-border e-commerce: Evidence from China's pilot free trade zones","authors":"Mengjuan Ma , Ziling Yu , Lili Ma , Wenyuan Guo","doi":"10.1016/j.eap.2024.12.026","DOIUrl":"10.1016/j.eap.2024.12.026","url":null,"abstract":"<div><div>Institutional openness is crucial for advancing cross-border e-commerce (CBE). While existing literature examines the micro-level factors influencing CBE development, the impact of institutional openness on CBE remains insufficiently explored. This study focuses on China's Pilot Free Trade Zones (PFTZs), a critical initiative for promoting institutional openness, and investigates their effects on CBE development across Chinese cities. The findings indicate that institutional openness has significantly fostered the rapid growth of CBE in these cities. Critical pathways for this growth include external and internal openness measures. Furthermore, institutional openness has not yet exerted substantial radiation or siphoning effects on CBE in neighboring cities. Heterogeneity analysis suggests that institutional openness can further enhance CBE development in cities with weaker informal institutions, lower administrative levels, underdeveloped digital economies, and non-participation in the Belt and Road Initiative (BRI). This study provides a theoretical foundation and policy recommendations for expediting institutional openness and promoting the growth of CBE.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 558-570"},"PeriodicalIF":7.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132216","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 : 2024-12-21DOI: 10.1016/j.eap.2024.12.025
Tiantian Wang , Qian Wei , Ruiqi Sun
Financial policy reforms can change the financing environment for enterprises, thereby affecting resource allocation. Taking the comprehensive liberalization of loan interest rates by the People's Bank of China in 2013 as a natural experiment, we investigate the relationship between interest rate liberalization and labor cost stickiness. Empirical results demonstrate that interest rate liberalization can significantly increase labor cost stickiness, and this finding remains robust even after conducting a series of rigorous tests. Further tests based on regional, industry, and enterprise characteristics reveal that the impact of interest rate liberalization on labor cost stickiness is more pronounced in regions with high bank monopoly, labor-intensive industries, and enterprises with distant bank-enterprise relationship. The Findings not only improve our understanding of cost management behavior in enterprises, but also shed light on the formulation and optimization of financial policies.
{"title":"Interest rate liberalization and labor cost stickiness: A quasi-natural experiment from China","authors":"Tiantian Wang , Qian Wei , Ruiqi Sun","doi":"10.1016/j.eap.2024.12.025","DOIUrl":"10.1016/j.eap.2024.12.025","url":null,"abstract":"<div><div>Financial policy reforms can change the financing environment for enterprises, thereby affecting resource allocation. Taking the comprehensive liberalization of loan interest rates by the People's Bank of China in 2013 as a natural experiment, we investigate the relationship between interest rate liberalization and labor cost stickiness. Empirical results demonstrate that interest rate liberalization can significantly increase labor cost stickiness, and this finding remains robust even after conducting a series of rigorous tests. Further tests based on regional, industry, and enterprise characteristics reveal that the impact of interest rate liberalization on labor cost stickiness is more pronounced in regions with high bank monopoly, labor-intensive industries, and enterprises with distant bank-enterprise relationship. The Findings not only improve our understanding of cost management behavior in enterprises, but also shed light on the formulation and optimization of financial policies.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 1663-1675"},"PeriodicalIF":7.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454693","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 : 2024-12-20DOI: 10.1016/j.eap.2024.12.022
Akeem Rahaman , Michelle Majid
The Caribbean remains one of the most vulnerable regions in the world, facing a plethora of issues including the increasing intensity and frequency of natural disasters, limited fiscal space, difficulty in accessing financing, and elevated debt levels. We formally assess the impact of natural disasters such as storms and flooding on debt sustainability using the fiscal reaction function. Our results show that debt remains sustainable when we account for natural disasters, albeit weakly. The results remain robust when we assess natural disasters with higher intensity. We attribute the favourable movement in the primary balance to the implementation of austerity measures, obtaining external aid payouts from catastrophe insurance after natural disasters, or having restricted fiscal space. For robustness, we investigate the impact of natural disasters on the debt-to-GDP ratio and find that the overall results remain consistent with the fiscal reaction function. Policy recommendations include greater adoption of credible and flexible fiscal rules, catastrophe bonds, and climate disaster clauses on financial instruments.
{"title":"Storms and sustainability: Assessing the impact of natural disasters on debt sustainability in the Caribbean","authors":"Akeem Rahaman , Michelle Majid","doi":"10.1016/j.eap.2024.12.022","DOIUrl":"10.1016/j.eap.2024.12.022","url":null,"abstract":"<div><div>The Caribbean remains one of the most vulnerable regions in the world, facing a plethora of issues including the increasing intensity and frequency of natural disasters, limited fiscal space, difficulty in accessing financing, and elevated debt levels. We formally assess the impact of natural disasters such as storms and flooding on debt sustainability using the fiscal reaction function. Our results show that debt remains sustainable when we account for natural disasters, albeit weakly. The results remain robust when we assess natural disasters with higher intensity. We attribute the favourable movement in the primary balance to the implementation of austerity measures, obtaining external aid payouts from catastrophe insurance after natural disasters, or having restricted fiscal space. For robustness, we investigate the impact of natural disasters on the debt-to-GDP ratio and find that the overall results remain consistent with the fiscal reaction function. Policy recommendations include greater adoption of credible and flexible fiscal rules, catastrophe bonds, and climate disaster clauses on financial instruments.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 579-591"},"PeriodicalIF":7.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132215","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 : 2024-12-20DOI: 10.1016/j.eap.2024.12.024
YANG Tingting , XU Botong
China's manufacturing industry accounts for the largest share of added value in the world, but there are problems such as high energy consumption and low efficiency. Digital transformation is crucial to green innovation in manufacturing and thus green transformation. Therefore, this paper selects listed manufacturing companies from 2013 to 2020 as the research object to build an empirical model to test whether digital transformation can improve the quality of enterprise green innovation. The findings are as follows: First, digital transformation can promote the improvement of green innovation efficiency and innovation quality of listed companies, but also inhibit the application of green utility model patents; Second, the digital transformation of listed companies has an important impact on the green innovation output of their subsidiaries. On the one hand, it increases the application of green invention patents of subsidiaries, and on the other hand, it significantly inhibits low-quality green patents. Third, digital transformation promotes the improvement of green innovation efficiency and the increase of green output by influencing enterprises' R&D investment.
{"title":"Green innovation in manufacturing enterprises and digital transformation","authors":"YANG Tingting , XU Botong","doi":"10.1016/j.eap.2024.12.024","DOIUrl":"10.1016/j.eap.2024.12.024","url":null,"abstract":"<div><div>China's manufacturing industry accounts for the largest share of added value in the world, but there are problems such as high energy consumption and low efficiency. Digital transformation is crucial to green innovation in manufacturing and thus green transformation. Therefore, this paper selects listed manufacturing companies from 2013 to 2020 as the research object to build an empirical model to test whether digital transformation can improve the quality of enterprise green innovation. The findings are as follows: First, digital transformation can promote the improvement of green innovation efficiency and innovation quality of listed companies, but also inhibit the application of green utility model patents; Second, the digital transformation of listed companies has an important impact on the green innovation output of their subsidiaries. On the one hand, it increases the application of green invention patents of subsidiaries, and on the other hand, it significantly inhibits low-quality green patents. Third, digital transformation promotes the improvement of green innovation efficiency and the increase of green output by influencing enterprises' R&D investment.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 571-578"},"PeriodicalIF":7.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131907","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}
Based on the financial data of A-share listed companies in China from 2016 to 2020, this study examines the impact of market integration on corporate participation in rural revitalization and its mechanisms. The findings indicate that market integration significantly enhances corporate enthusiasm for participating in rural revitalization. The mechanism tests show that market integration primarily promotes corporate participation in rural revitalization by facilitating labor mobility and alleviating financing constraints for enterprises. Heterogeneity analysis reveals that the effects are more pronounced among enterprises in the eastern region, state-owned enterprises, and those registered in non-poverty areas. Thus, further advancement of market integration is advocated to promote corporate participation in rural revitalization through enhancing labor mobility and easing financing constraints.
{"title":"Market integration and corporate participation in rural revitalization empirical evidence from Chinese listed companies","authors":"Siming Yu , Jianhong Long , Xie Jian , Fang Yajun , Zhao Tuanjie , Wei Fang","doi":"10.1016/j.eap.2024.12.023","DOIUrl":"10.1016/j.eap.2024.12.023","url":null,"abstract":"<div><div>Based on the financial data of A-share listed companies in China from 2016 to 2020, this study examines the impact of market integration on corporate participation in rural revitalization and its mechanisms. The findings indicate that market integration significantly enhances corporate enthusiasm for participating in rural revitalization. The mechanism tests show that market integration primarily promotes corporate participation in rural revitalization by facilitating labor mobility and alleviating financing constraints for enterprises. Heterogeneity analysis reveals that the effects are more pronounced among enterprises in the eastern region, state-owned enterprises, and those registered in non-poverty areas. Thus, further advancement of market integration is advocated to promote corporate participation in rural revitalization through enhancing labor mobility and easing financing constraints.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 592-606"},"PeriodicalIF":7.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131910","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 : 2024-12-19DOI: 10.1016/j.eap.2024.12.021
Chien-Chiang Lee , Jafar Hussain , Qasir Abass
The demanding global challenge of climate change necessitates innovative strategies to achieve carbon neutrality, particularly in industrial sectors that contribute significantly to Carbon dioxide (CO2) emissions. In this context, understanding the interplay between Artificial intelligence (AI) driven green financing and targeted subsidies is critical for enhancing emission reduction efficiency (ERE). This research explores a significant advancement in revealing optimal pathways toward carbon neutrality through AI-driven green financing at the industrial level. Robust regression analysis and simulation-based optimization were employed on data from 1000 firms in Punjab, Pakistan. The study indicates the positive impact of knowledge about green awareness, green inventions, and emission impact awareness on CO2 ERE. The finding elaborates that subsidies targeting CO2 emission impact awareness have a more significant influence on CO2 ERE than AI-based green financing, focusing on the pivotal role of targeted financial incentives in achieving effective industrial-level carbon reduction. These insights offer valuable guidance for policymakers and industry practitioners, emphasizing the interconnected dynamics of AI-driven green financing and optimal subsidies in realizing sustainable economic outcomes.
{"title":"An integrated analysis of AI-driven green financing, subsidies, and knowledge to enhance CO2 reduction efficiency","authors":"Chien-Chiang Lee , Jafar Hussain , Qasir Abass","doi":"10.1016/j.eap.2024.12.021","DOIUrl":"10.1016/j.eap.2024.12.021","url":null,"abstract":"<div><div>The demanding global challenge of climate change necessitates innovative strategies to achieve carbon neutrality, particularly in industrial sectors that contribute significantly to Carbon dioxide (CO<sub>2</sub>) emissions. In this context, understanding the interplay between Artificial intelligence (AI) driven green financing and targeted subsidies is critical for enhancing emission reduction efficiency (ERE). This research explores a significant advancement in revealing optimal pathways toward carbon neutrality through AI-driven green financing at the industrial level. Robust regression analysis and simulation-based optimization were employed on data from 1000 firms in Punjab, Pakistan. The study indicates the positive impact of knowledge about green awareness, green inventions, and emission impact awareness on CO<sub>2</sub> ERE. The finding elaborates that subsidies targeting CO<sub>2</sub> emission impact awareness have a more significant influence on CO<sub>2</sub> ERE than AI-based green financing, focusing on the pivotal role of targeted financial incentives in achieving effective industrial-level carbon reduction. These insights offer valuable guidance for policymakers and industry practitioners, emphasizing the interconnected dynamics of AI-driven green financing and optimal subsidies in realizing sustainable economic outcomes.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 675-693"},"PeriodicalIF":7.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132212","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}
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