中国经济评论最新文献_第2页

The impact of air pollution on crowdfunding donations for critical illnesses: Evidence from China

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-03-11 DOI: 10.1016/j.chieco.2025.102391

Sheng Hua , Huina Liu , Zheng Ji , Han Liang

引用次数: 0

The effect of electricity time-of-use plans: Evidence from the industrial sector in China

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-03-11 DOI: 10.1016/j.chieco.2025.102390

Lingfang Li (Ivy) , Jiehong Qiu , Gang Fang

引用次数: 0

Achieving the synergy of pollution and carbon emission reductions: Can artificial intelligence applications work?

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-03-11 DOI: 10.1016/j.chieco.2025.102389

Jie Dian , Shanmin Li , Tian Song

{"title":"Achieving the synergy of pollution and carbon emission reductions: Can artificial intelligence applications work?","authors":"Jie Dian , Shanmin Li , Tian Song","doi":"10.1016/j.chieco.2025.102389","DOIUrl":"10.1016/j.chieco.2025.102389","url":null,"abstract":"<div><div>Artificial intelligence (AI), a key driving force in a new wave of scientific and technological revolution, contributes to green improvements in industrial production processes. Its rapid development provides a potentially feasible path for China to achieve the synergistic effects of pollution and carbon emission reductions. This study expands the production task model to theoretically analyze the impact and mechanism of AI applications on the synergy of pollution and carbon emission reductions. On this basis, we utilized panel data from Chinese cities to conduct empirical tests. The results indicated that AI applications have a considerable synergistic effect on pollution and carbon emission reductions. Technological innovation, energy structure optimization, and labor substitution are identified as the primary channels. The effects vary by urban location, characteristics, and industry. Compared with those in eastern and central cities, AI applications in western cities have a more pronounced impact on emissions reduction. Factors such as low human capital, high financial development, and moderate fiscal expenditure are more conducive to the effective application of AI. Moreover, the demonstration and competitive functions of AI applications generate substantial spatial spillover effects. The findings provide valuable policy insights for promoting urban intellectualization and greenization.</div></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"91 ","pages":"Article 102389"},"PeriodicalIF":5.2,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Narrowing the digital divide: The growth and distributional effect of internet use on income in rural China

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-03-10 DOI: 10.1016/j.chieco.2025.102387

Tianyu Huang, Yiyue Quan

{"title":"Narrowing the digital divide: The growth and distributional effect of internet use on income in rural China","authors":"Tianyu Huang, Yiyue Quan","doi":"10.1016/j.chieco.2025.102387","DOIUrl":"10.1016/j.chieco.2025.102387","url":null,"abstract":"<div><div>Improving income and equality among rural residents remain significant concerns for economists and policymakers. The recent proliferation of information and communication technologies, such as the Internet, provides a promising way to increase income but leads to concern about the digital divide. Notably, data limitations and regional heterogeneity have restricted empirical studies from determining the growth and distributional effects of Internet penetration on the income of rural households, and how these effects correlate with the first-(physical access), second-(use patterns and skills), and third-(use outcomes) level digital divides. This paper empirically investigates the causal effect of Internet use on rural household income by employing the difference-in-difference, propensity score matching, and instrumental variables methods, using panel data from the China Family Panel Studies between 2010 and 2018. We find robust results that Internet use significantly increases the income of rural households, which means the presence of the first-level digital divide exacerbates inequality, although it is narrowing. Additionally, different Internet use purposes that correspond to the second-level digital divide also have an impact on income. Interestingly, our analysis for heterogeneity reveals that rural households with lower education levels and incomes, and those residing in less-developed areas benefit more from Internet use, suggesting no significant third-level digital divide was found between vulnerable populations and those who are not. Overall, these findings have important policy implications. Providing communication infrastructure and popularizing Internet-use skills in rural areas may help narrow the digital divide and advance the goal of inclusive growth.</div></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"91 ","pages":"Article 102387"},"PeriodicalIF":5.2,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of the global financial cycle on China's cross-border capital flows

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-03-04 DOI: 10.1016/j.chieco.2025.102378

Hui An , Yang Huang , Lifu Fan , Hao Wang , Xuan He

{"title":"The impact of the global financial cycle on China's cross-border capital flows","authors":"Hui An , Yang Huang , Lifu Fan , Hao Wang , Xuan He","doi":"10.1016/j.chieco.2025.102378","DOIUrl":"10.1016/j.chieco.2025.102378","url":null,"abstract":"<div><div>From the global financial cycle (GFC) perspective, this paper investigates the influence of global financial co-movement, triggered by changes of monetary policy in core countries, on China's cross-border capital flows. The study first constructs a mechanism framework to understand how the GFC affects cross-border capital flows within the push-pull framework. Using quarterly data from G7 and BRICs countries spanning 2006 to 2023, this paper builds a dynamic factor model based on Rey's classical GFC theoretical framework to measure the GFC and describes its characteristics across five stages, in conjunction with shift of monetary policy in core countries. Then, the analysis applies the MSVAR model to examine the nonlinear impact of the GFC on China's total cross-border capital flows, total capital inflows, and outflows. Furthermore, the study explores the heterogeneity of the impacts on direct investment, portfolio investment, and other investment. The results indicate that changes of monetary policy in core countries contribute to the formation of the GFC. When conventional monetary policy shifts to unconventional policy, the GFC enters an expansion period; conversely, when it reverts to conventional policy, the GFC enters a contraction period. Overall, the GFC positively affects China's total capital flows, with greater impact during expansion periods than contraction periods. The effect on total capital outflow surpasses that on total capital inflows. Furthermore, direct and portfolio investments demonstrate lower sensitivity to the GFC, whereas other investments, primarily consisting of cross-border bank loans, exhibit a pronounced pro-cyclical pattern with the GFC.</div></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"91 ","pages":"Article 102378"},"PeriodicalIF":5.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Labor cost, robots, and product quality

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-02-26 DOI: 10.1016/j.chieco.2025.102373

Junyi Xiang , Dongmin Kong , Fan Zhang

引用次数: 0

Talent magnets in China: Can talent attraction policies catalyze digital transformation in enterprises?

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-02-25 DOI: 10.1016/j.chieco.2025.102376

Zesu Hua, Shuning Kong, Yihua Yu

引用次数: 0

Participation in globalization and out of poverty: The opportunity provided by foreign investments

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-02-19 DOI: 10.1016/j.chieco.2025.102372

Zhiyuan Li , Yichun Lin , Guanghua Wan , Ruochen Wu

引用次数: 0

Digital pathways to resilience: Assessing the impact of digitalization on agricultural production resilience in China

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-02-18 DOI: 10.1016/j.chieco.2025.102375

Yuke Luo , Shiyuan Liu , Yang Zhang , Miao Zeng , Dandi Zhao

{"title":"Digital pathways to resilience: Assessing the impact of digitalization on agricultural production resilience in China","authors":"Yuke Luo , Shiyuan Liu , Yang Zhang , Miao Zeng , Dandi Zhao","doi":"10.1016/j.chieco.2025.102375","DOIUrl":"10.1016/j.chieco.2025.102375","url":null,"abstract":"<div><div>Agricultural production, a cornerstone of human activity, is facing mounting challenges from instability and uncertainty. This study examines the impact of digitalization on the resilience of agricultural production in China, developing an innovative probabilistic framework able to assess agricultural resilience at the county level. The proposed model measures resilience as the likelihood of agricultural systems maintaining output above a defined baseline under uncertain conditions. Based on panel data of 1766 counties in China, this study reveals an inverted U-shaped relationship between digitalization and resilience. Specifically, whereas moderate digitalization enhances resilience, excessive digitalization introduces vulnerabilities. Mechanism analysis shows that digitalization drives rural income growth and optimizes factor utilization, but excessive digitalization widens income disparities and triggers resource outflows from agriculture. Results also show that new agricultural operating entities can mitigate the adverse effects of excessive digitalization by fostering collective action. These findings deepen our understanding of the complex mechanisms underlying agricultural digital transformation and offer practical insights for promoting resilience through balanced digitalization.</div></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"90 ","pages":"Article 102375"},"PeriodicalIF":5.2,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The green promise of digital finance: Exploring its effects and mechanisms on carbon reduction

IF 5.2 1区经济学

中国经济评论 Pub Date : 2025-02-18 DOI: 10.1016/j.chieco.2025.102374

Xu Dong , Shuai Lv , Shilei Wu

{"title":"The green promise of digital finance: Exploring its effects and mechanisms on carbon reduction","authors":"Xu Dong , Shuai Lv , Shilei Wu","doi":"10.1016/j.chieco.2025.102374","DOIUrl":"10.1016/j.chieco.2025.102374","url":null,"abstract":"<div><div>In the digital era, whether digital finance contributes to carbon reduction is crucial for achieving global sustainable development goals. This study explores the effects and mechanisms of digital finance on carbon emissions using panel data from Chinese counties during 2014–2022. Findings show that digital finance has a positive impact on carbon reduction at the county level in China. Mechanism analysis reveals that digital finance promotes corporate green technology innovation, accelerates the market exit and clean transformation of enterprises with high pollution, high energy consumption, and high emissions (“three-high”), limits government land concessions for “three-high” industries, and improves local fiscal autonomy. These mechanisms act as important channels for reducing carbon emissions. Heterogeneity analysis indicates that digital finance has a stronger impact on carbon reduction in counties with a high level of fintech, a high degree of carbon lock-in, and low climate risk. Additionally, digital finance facilitates regional synergistic carbon reduction and the synergy between pollution and carbon reduction while enhancing ecological environment quality. Our work contributes to the literature on digital finance and green transition, and provides important implications for China and the world in tapping the potential of carbon reduction from the perspective of digital finance.</div></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"90 ","pages":"Article 102374"},"PeriodicalIF":5.2,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0