通讯机构：
[Xiong, ZQ ] 9;960 2nd Sect,Wanjiali South RD, Changsha, Hunan, Peoples R China.
关键词：
Supply chain digitization;Green innovation;Transaction cost;Resource-based theory
摘要：
Digital technology will profoundly impact green innovation by enabling deep supply chain transformation through cost reduction and efficiency gains. Based on a quasi-natural experiment of China's supply chain innovation and application pilot policy, this paper investigates the impact of supply chain digitization on green innovation using data from 1836 listed companies from 2013 to 2021. The results find that: (1) Supply chain digitization significantly promotes firms' green innovation level, a finding that still holds under placebo and other tests. (2) Mechanism tests indicate that supply chain digitization enhances firms' green innovation level mainly through optimizing innovation resource effect, enhancing internal control effect and expanding external demand effect. (3) The green innovation effect of supply chain digitization is greater in regions with low supply chain concentration, capital-intensive, non-polluting industries, and higher digitization degree. (4) Supply chain digitization significantly improves environmental performance through the green innovation effect.
关键词：
Social capital;agricultural credit guarantee;participation behavior;social network;trust;entrepreneurs
摘要：
Agricultural credit guaranteed loans were effective in alleviating the challenges of securing funding and obtaining costly finance for new agricultural enterprises. This research utilized the Probit model to empirically analyze the impact and influence of social capital on the participation behavior of agricultural credit guaranteed loans, based on survey data from 503 newly established agricultural businesses in Hunan Province. The findings indicated that social capital, social network, social trust, and social involvement all exert a favorable and substantial influence on the behavior of participating in agricultural credit guaranteed loans. Additional analysis revealed that the impression of value had a role in moderating the impact of social capital on the behavior of participating in agricultural credit guaranteed loans. Furthermore, the influence of social capital on engagement patterns varies across distinct demographic categories, including age, educational attainment, and years of business experience.
摘要：
(1) Background: Most nations struggle to close significant income gaps between high and low earners. While the adoption of farm machinery rental services and off-farm employment may be beneficial, it is unclear whether jointly applying both approaches can raise income levels in rural households or help narrow the income gap within the farm sector. This study investigated scenarios involving both participation in farm machinery rental markets and in off-farm work, analyzing their varied impacts on household incomes based on survey data from 1027 rice producers in rural China. (2) Methods: We employed a two-stage econometric procedure encompassing a bivariate ordered probit model with an endogeneity-corrected unconditional quantile regression model. (3) Results: Rice farmers often simultaneously rent farm machinery services and engage in off-farm work. Both activities positively affect their household incomes; however, these effects vary across different income levels. Renting farm machinery provides greater marginal benefits for lower-income households, while off-farm employment has a stronger impact on higher-income households. Farm machinery rental services appear to benefit disadvantaged households more than off-farm employment opportunities do. (4) Suggestions: To enhance the welfare of lower-income households, policymakers should focus on expanding access to farm machinery rental services.
关键词：
Dongting Lake area;Ecological environment;Zoning control;Influencing factors;ecological restoration
摘要：
IntroductionProtecting the ecosystem of the Dongting Lake area is of utmost importance for maintaining ecological balance and achieving human well-being.MethodsThis study identifies the key factors influencing the remote sensing based ecological index (RESI) in the Dongting Lake area based on the spatial and temporal evolution characteristics of the RESI and environmental changes and anthropogenic disturbance factors. The priority zoning for ecological restoration was delineated in combination with the anthropogenic composite index (ACI). By exploring the influence of anthropogenic disturbances on RESI, the zoning locations were determined using spatial statistics and linear regression methods.ResultsThe overall RESI of the Dongting Lake area showed a decline from 2001 to 2020, with the mean value decreasing from 0.52 to 0.48. High-quality zones were mainly located in mountainous and forested areas, while low-quality zones were mainly distributed in more developed cities in the east urban area. Anthropogenic factors were the main reasons for the decline in the ecological environment, while natural factors showed a positive correlation with RESI. Based on the RESI and ACI, four ecological control zones (H-H, H-L, L-H, and L-L) were delineated, which accounted for a total of 45.66% of the Dongting Lake area. Among them, 3.91% required immediate control and management, while 17.80% required artificial maintenance. This study explores the influencing factors and mechanisms of the ecological environment quality in the Dongting Lake area, and explores the effective spatial paths for the implementation of ecological restoration zoning control and differentiated restoration strategies in the Dongting Lake area.DiscussionThis study provides a scientific basis for mitigating ecological and environmental problems in the Dongting Lake area, and provides a reference for ecological restoration and regulation and the realization of sustainable development goals in China and global regions with complex environmental problems.
通讯机构：
[Liu, H ] H;Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.
关键词：
Agricultural water conservancy;Cooperation strategy;Digitization;PPP project;SD evolutionary game
摘要：
This study constructed a system dynamics (SD) evolutionary game model, from which we analyzed the conditions that need to be met by multi-agents to achieve cooperation in agricultural water conservancy (AWC) Public-Private Partnership (PPP) projects. Simultaneously, this study used numerical simulation to depict the impact of initial participation willingness, reward, punishment, income, and other parameters of local governments, project enterprises, and farmers on the evolution strategy. The results firstly showed that the basic conditions for tripartite cooperation are to strengthen the rewards and punishments for project enterprises and improve the participation benefits of farmers. Secondly, it showed that increasing the rewards for farmers and improving the project dividend benefits can effectively motivate farmers to participate. Thirdly, it showed that enhancing the incentive subsidies and reputation benefits for project enterprise's participation, as well as strengthening the supervision of local government, boosts the motivation of project enterprises significantly. However, it is vital to ensure that the reward amounts are not too high to allow local government to play its guiding role efficiently. Lastly, the results indicated that digital technology can help reduce the participation cost of local government, project enterprises and farmers, and improve the external reputation benefits of each participant, thus forming a win-win situation for all three participants. Analyzing the cooperation strategies of the three parties in AWC PPP projects provides theoretical support and a decision-making basis for the efficient operation of AWC PPP projects under the digital background, and also provides practical policy recommendations for the high-quality development of AWC.
通讯机构：
[Zhang, W ] H;Hunan Agr Univ, Sch Econ, Changsha, Peoples R China.
关键词：
High standard farmland construction;Spatial and temporal variation;Convergence;China
摘要：
To assess the efficiency of high-standard farmland construction (HSFC), this study utilized data spanning from 1998 to 2020 obtained from 30 provinces, autonomous regions, and municipalities in China. This assessment was conducted using a three-stage super-efficient slack-based measure data envelopment analysis(SBM-DEA)model. Furthermore, we investigated the spatial and temporal variances and convergence of HSFC efficiency using the Dagum Gini coefficient and convergence analysis. The results firstly show that from 2007 to 2020, China's HSFC efficiency displayed fluctuations and declines, significantly influenced by environmental and stochastic factors. Secondly, it showed that the gap in China's HSFC efficiency has widened, with super-variable density being demonstrated as the primary source of spatial imbalance in HSFC efficiency. Thirdly, it showed that the deviation in the efficiency of HSFC in the central region of China from the average level has shown a gradually declining trend, while the deviation in the efficiency of HSFC in the national, western, eastern, and northeastern regions has not presented a downward trend. Fourthly, it demonstrated that over time, the efficiency of building high-standard agriculture throughout the nation and its four main areas will converge to the same level.
