E-commerce operations and technology perceptions in promoting farmers' adoption of green production technologies: Evidence from rural China.

Agricultural green production is vital for ensuring product quality, safety, and mitigating environmental issues. E-commerce operations have emerged as a key driver of green production transformation. Based on a sample of 704 farm households in Jiangsu Province, this study employs a two-way fixed-effects model, Propensity Score Matching (PSM), Instrumental Variable Probit (IVProbit), and Extended Regression Model (ERM) to address endogeneity, alongside stepwise regression to test the mediating role of technology cognition.

Exploring the poverty-reduction benefits of agricultural machinery socialization services in China: Implications for the sustainable development of farmers.

Sustainable development is crucial for alleviating poverty among farmers. In this study, we examined the impact, and the mechanism underlying this impact, of the adoption of agricultural machinery services by farmers on their relative poverty from a multidimensional poverty perspective by employing the logit and ordered logit models and the Karlson-Holm-Breen (KHB) method. These results indicate that adopting agricultural machinery services can significantly reduce the probability of relative poverty among farmers, thereby expediting the sustainability of rural development.

The allocation of carbon resources in marine capture fisheries.

Marine fishery carbon emissions play a significant role in agricultural carbon emissions, making resource allocation a crucial topic for the overall marine ecological protection. This paper evaluates the dynamic iteration method as a research approach with the factors of resource allocation consisting of value assessment, optimization objective, difference between value assessment and objective, and optimization calculation. The paper selects the shadow price from the Super-SBM model as the judgment function for the goal value, aiming for the fairness criterion.

Preventing Agricultural Non-Point Source Pollution in China: The Effect of Environmental Regulation with Digitization.

Environmental regulation (ER) is essential to preventing agricultural non-point source pollution (ANSP). Prior research has focused on the effect of ER on agricultural pollution (AP), but little is known about the impact of ER following digitization on preventing AP, particularly ANSP. Based on the spatial heterogeneity, the effect of ER was examined using a geographic detector tool with provincial panel data from 2010 to 2020 in rural China.