Enhancing farmers’self-development capacity.Is critical to mitigating the risk of large-scale poverty relapse.Drawing on three-wave panel data from the China Household Finance Survey(CHFS)covering 2015-2019,this stud...Enhancing farmers’self-development capacity.Is critical to mitigating the risk of large-scale poverty relapse.Drawing on three-wave panel data from the China Household Finance Survey(CHFS)covering 2015-2019,this study employs two-way fixed effects and quantile regression models to examine the impact of digital financial literacy on the economic resilience of rural households.A mediation model is further applied to explore the mechanisms underlying this relationship,with particular attention to risk preferences and the adoption of digital technologies.The findings demonstrate that higher levels of digital financial literacy substantially strengthen household economic resilience.Although positive effects are evident across all quantiles,the marginal impact decreases as resilience levels rise.Both risk preferences and the adoption of digital technologies serve as key mediators in this relationship.Heterogeneity analyses indicate that digital financial literacy indirectly enhances household resilience by increasing farmers’risk tolerance and facilitating digital technology adoption,with these effects being particularly pronounced among households with higher educational attainment and those located in central and western China.Consequently,policy interventions should focus on accelerating the development of digital and financial infrastructure in rural areas,improving the design and delivery of digital financial literacy programs,and encouraging active engagement in digital financial markets to strengthen safeguards against poverty relapse.展开更多
This paper employs industrial robot installations that represent the level of smart manufacturing as the proxy variable of artificial intelligence(AI). Based on crosscountry panel data and China's provincial panel...This paper employs industrial robot installations that represent the level of smart manufacturing as the proxy variable of artificial intelligence(AI). Based on crosscountry panel data and China's provincial panel data, we create a two-stage least square(2 SLS) regression model to examine the effect of an aging population on AI applications and AI's effect on economic growth. In this manner, we aim to test whether AI has a substitutive effect on labor against the backdrop of an aging society and the kind of such a substitutive effect. Our findings suggest that the labor shortage arising from an aging society will prompt an economy to adopt smart manufacturing more broadly, i.e. an aging society is a driver of AI development. Smart manufacturing has a positive effect on local GDP and helps shore up the slowing economy resulting from an aging society. AI is an important tool for coping with the challenges of an aging society. Current AI development is an "induced innovation," and its substitutive relationship with labor is a "supplemental substitution" rather than "crowding-out substitution." If these characteristics are properly maintained, AI will contribute more to China's economy against the backdrop of an aging society.展开更多
The goal of village governance is to improve the well-being of farmers,so this study aims to measure the impact the quality of village governance on the well-being of farmers.It also examines the heterogeneity of this...The goal of village governance is to improve the well-being of farmers,so this study aims to measure the impact the quality of village governance on the well-being of farmers.It also examines the heterogeneity of this impact across different farmer groups from the perspectives of income levels and occupational differentiation.To this end,this study developed an indicator system based on survey data collected from 1,442 farmers in the Sichuan,Shaanxi,and Gansu provinces,as well as the Ningxia Hui autonomous region.Multiple linear regression models were then used to analyze this data,and the findings revealed that improvements in the quality of village governance significantly increased the well-being of farmers.Specifically,primary-level empowerment and capacity building were shown to contribute the most to the enhancement of the farmers’well-being,followed by social inclusion,and social cohesion was found to have only a minimal effect.In terms of income levels,improving the quality of village governance benefited middle-income farmers the most,followed by low-income farmers,and it had the least effect on high-income farmers.In terms of occupations,full-time farmers gained the most from improvements in the quality of village governance,followed by off-farm farmers,with part-time farmers benefiting the least.Based on these findings,this study suggests that policymakers should improve the quality of village governance to enhance the well-being of farmers,focusing on the impact that level of income and occupational differentiation have on village governance.展开更多
基金This research was funded by the China Commercial Accounting Association,Project No.2025zsx040,titled“Research on the Mechanism and Path of Agricultural Audit in Promoting the High-Quality Development of the Agricultural Economy”.
摘要Enhancing farmers’self-development capacity.Is critical to mitigating the risk of large-scale poverty relapse.Drawing on three-wave panel data from the China Household Finance Survey(CHFS)covering 2015-2019,this study employs two-way fixed effects and quantile regression models to examine the impact of digital financial literacy on the economic resilience of rural households.A mediation model is further applied to explore the mechanisms underlying this relationship,with particular attention to risk preferences and the adoption of digital technologies.The findings demonstrate that higher levels of digital financial literacy substantially strengthen household economic resilience.Although positive effects are evident across all quantiles,the marginal impact decreases as resilience levels rise.Both risk preferences and the adoption of digital technologies serve as key mediators in this relationship.Heterogeneity analyses indicate that digital financial literacy indirectly enhances household resilience by increasing farmers’risk tolerance and facilitating digital technology adoption,with these effects being particularly pronounced among households with higher educational attainment and those located in central and western China.Consequently,policy interventions should focus on accelerating the development of digital and financial infrastructure in rural areas,improving the design and delivery of digital financial literacy programs,and encouraging active engagement in digital financial markets to strengthen safeguards against poverty relapse.
摘要This paper employs industrial robot installations that represent the level of smart manufacturing as the proxy variable of artificial intelligence(AI). Based on crosscountry panel data and China's provincial panel data, we create a two-stage least square(2 SLS) regression model to examine the effect of an aging population on AI applications and AI's effect on economic growth. In this manner, we aim to test whether AI has a substitutive effect on labor against the backdrop of an aging society and the kind of such a substitutive effect. Our findings suggest that the labor shortage arising from an aging society will prompt an economy to adopt smart manufacturing more broadly, i.e. an aging society is a driver of AI development. Smart manufacturing has a positive effect on local GDP and helps shore up the slowing economy resulting from an aging society. AI is an important tool for coping with the challenges of an aging society. Current AI development is an "induced innovation," and its substitutive relationship with labor is a "supplemental substitution" rather than "crowding-out substitution." If these characteristics are properly maintained, AI will contribute more to China's economy against the backdrop of an aging society.
基金funded by the Fundamental Research Funds for the Central Universities“Research on the Impact of Social Quality and Political Trust on Farmers’Well-Being in the Post-Poverty Alleviation Era”(21lzujbkydx012)the Project of Gansu Province for Philosophy and Social Sciences Planning“Research on the Strategies to Improve Farmers’Well-Being in Gansu Province From the Perspective of Social Quality”(2021YB012).
摘要The goal of village governance is to improve the well-being of farmers,so this study aims to measure the impact the quality of village governance on the well-being of farmers.It also examines the heterogeneity of this impact across different farmer groups from the perspectives of income levels and occupational differentiation.To this end,this study developed an indicator system based on survey data collected from 1,442 farmers in the Sichuan,Shaanxi,and Gansu provinces,as well as the Ningxia Hui autonomous region.Multiple linear regression models were then used to analyze this data,and the findings revealed that improvements in the quality of village governance significantly increased the well-being of farmers.Specifically,primary-level empowerment and capacity building were shown to contribute the most to the enhancement of the farmers’well-being,followed by social inclusion,and social cohesion was found to have only a minimal effect.In terms of income levels,improving the quality of village governance benefited middle-income farmers the most,followed by low-income farmers,and it had the least effect on high-income farmers.In terms of occupations,full-time farmers gained the most from improvements in the quality of village governance,followed by off-farm farmers,with part-time farmers benefiting the least.Based on these findings,this study suggests that policymakers should improve the quality of village governance to enhance the well-being of farmers,focusing on the impact that level of income and occupational differentiation have on village governance.