Reducing pesticide use is a crucial step toward achieving the green and low-carbon transformation of agriculture. Analyzing the role and mechanisms of agricultural digital technologies—particularly plant protection unmanned aerial vehicles (UAVs) for aerial spraying—is essential for identifying viable strategies to reduce pesticide application intensity among farming households. This analysis is critical for facilitating the low-carbon transformation of rice production and advancing sustainable agricultural development. This study, using survey data from 455 farming households in Jiangxi Province, China, employs Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) methods to investigate the relationship between plant protection UAVs and pesticide application intensity. The findings reveal that adopting plant protection UAVs significantly reduces pesticide application intensity in rice production by 24.9%. Further analysis indicates that the reduction effect is more pronounced among non-aged, large-scale, and part-time farming households. To achieve the low-carbon transformation of rice production, it is vital to enhance agricultural support policies and develop effective market promotion and application mechanisms to encourage the adoption of UAV-based aerial spraying and other digital agricultural technologies.

At present, farmland abandonment (FA) is a serious problem in China, severely restricting agricultural production. In this context, it is of great significance to explore the logical relationship between high-standard farmland construction (HSFC) and FA to optimize land resource allocation and guarantee national food security. Based on a sample of 838 farmers in the main rice production area of the Yangtze River Basin in China, this study employed the Tobit model, the mediating effect model, and the moderated mediating effect model to analyze the impact of HSFC on FA at the micro level. The results show the following: (1) HSFC inhibits FA and the FA proportion decreases by 1.15% for every 1% increase in the HSFC proportion; the robustness test and endogeneity treatment also yield consistent conclusions. (2) The inhibitory effect of HSFC on FA varies greatly among different farmers and is more significant for part-time farmers and those with a higher degree of land fragmentation. (3) Agricultural socialization services (ASS) play a positive mediating role in the influence path. HSFC promotes the farmers’ purchase of ASS, which in turn inhibits FA. (4) The agricultural labor transfer distance (ALTD) plays a positive moderating role in the relationship between HSFC and FA. The farther the distance, the more likely it is that HSFC can promote the farmers’ purchase of ASS and inhibit FA. The results provide insights regarding how to precisely implement the HSFC policy, i.e., to inhibit FA by improving the construction of high-standard farmland and the post-construction management and protection system. Building targeted construction programs and operational systems that consider the differences in the target groups, improving the standard and capacity of ASS to ensure sustainable benefits for farmers, and promoting the non-agricultural transfer of surplus agricultural labor can create conditions for the modern transformation of the traditional rural economy.

The agricultural ecological environment provides an important resource guarantee for social development. The extensive management mode of agriculture in China has not fundamentally changed; the contradiction between production and governance is still prominent, and the management of agricultural surface pollution has a long way to go. Based on the data from 572 rural households in Jiangxi province, this paper uses the Ordered Logit, 2SLS, and the moderation effect model to analyze the mechanism between social norms (SNs) and rural households’ (RHs) disposal of pesticide packaging waste (PPW) and to test the moderation effect of environmental regulation (ER) in the influence path of SN to RHs’ disposal of PPW. The results show that (1) descriptive norms and directive norms promote RHs not littering PPW; the probability of RHs not littering PPW increases by 4.0% for each unit decrease in descriptive norms, and the probability of RHs not littering PPW increases by 12.1% when there are directive norms, but the directive norms are more significant than the descriptive norms. Consistent conclusions were obtained after the robustness test and endogeneity treatment. (2) Reputational incentives strengthen the promotional effect of directive norms on RHs’ behavior of not littering PPW; punitive regulations hinder the promotional effect of descriptive norms on RHs’ behavior of not littering PPW. Based on the findings of the study, the following policy recommendations are put forward: Actively cultivate SNs and give full play to their role in promoting RHs’ choice of the disposal behavior of PPW; improve the role of ER in regulating RHs’ choice of the disposal behavior of PPW; guide the ER and SNs to work in coordination.

This study examines the economic and environmental impacts of green production practices among farmers. It aims to contribute to sustainable agricultural development, mitigate agricultural non-point source (NPS) pollution, and align environmental protection with economic growth. This paper utilizes survey data from 1345 farm households in the main rice production areas of Jiangxi Province, China, using the example of reduced fertilizer application (RFA) among rice farmers. This study constructs a slack-based measure data envelopment analysis (DEA—SBM) model with undesirable outputs to measure environmental effects and applies an endogenous switching regression model (ESRM) to test the economic and environmental effects of farmers’ adoption of green production technologies. We found the following: (1) The RFA behavior of farmers has a significant positive impact on their net profit per hectare (NPH), helping farmers increase their income, with the increase ranging from 2.05% to 6.54%. (2) Farmers’ RFA behavior has a significant positive impact on agricultural green productivity (AGP), contributing to the improvement of the environment, ranging from 44.09% to 45.35%. (3) A heterogeneity analysis found inconsistencies in the income-enhancing and environmental-enhancing effects at different quantiles of NPH and AGP. Therefore, attention should be placed on improving the agricultural product quality supervision system under the market circulation mechanism, creating land scale conditions conducive to the promotion and application of fertilizer reduction technologies and promoting the implementation of externality internalization compensation systems.

The promotion of pesticide use reduction is an inevitable requirement for advancing green and low-carbon transformation of agriculture. Analyzing the impact and mechanism of agricultural digital technology applications, represented by plant protection unmanned aerial vehicles (UAVs), in reduction of pesticide application intensity by farming households is of great significance for exploring feasible pathways for low-carbon transformation in rice production. Based on the survey data of 455 sample farming households in Jiangxi Province, China, this paper employs the Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) methods to examine the relationship between plant protection UAVs and the intensity of pesticide application. The research results indicate that the use of plant protection UAVs substantially reduces the intensity of pesticide application in rice by 24.9%. Heterogeneous analysis reveals that the inhibitory effect of plant protection UAVs on pesticide application intensity is more pronounced among non-aged farming households, large-scale farming households, and part-time farming households. Therefore, in order to achieve the goal of rlow-carbon transformation in rice production, it is essential to improve agricultural support policies and establish market promotion and application mechanisms to jointly promote the adoption of plant protection UAVs aerial spraying technology and other agricultural digital technologies.

At present, farmland abandonment（FA）is a severe phenomenon in China, imposing a serious restriction on agricultural production. In this context, it is of great significance to explore the logical relationship between high-standard farmland construction (HSFC) and FA to optimize land resource allocation and guarantee national food security. Based on 838 samples of farmers in the main rice production area of the Yangtze River Basin in China, this paper employs the Tobit model, the mediating effect model, and the moderated mediating effect model to analyze the impact of HSFC on FA at the micro level. The results show that (1) HSFC inhibits FA, and FA proportion decreases by 1.14% for every 1% increase in HSFC proportion, and the robustness test and endogeneity treatment also yield consistent conclusions. (2) Agricultural socialization services (ASS) play a positive mediating role in the influence path. HSFC promotes farmers' purchase of ASS, which in turn inhibits FA. (3) The agricultural labor transfer distance (ALTD) plays a positive moderating role in the relationship between HSFC and FA. The farther the distance, the more likely HSFC can promote farmers' purchase of ASS and inhibit FA. The results provide enlightenment on how to precisely implement HSFC policy, that is, to inhibit FA by improving the construction of high-standard farmland and the post-construction management as well as protection system. Moreover, this study helps guiding the development of ASS and optimizing the institutional environment for agricultural labor transfer, creating conditions for agricultural scale management.