Individual self-regulation, external monitoring, and farmers' safe production behavior: Evidence from the Kuan-chung Plain, China.

Sustainable agricultural development requires comprehending the fundamental factors influencing farmers' adoption of safe production behavior. This study investigates intrinsic and extrinsic determinants, encompassing the influence of individual self-regulation and external monitoring, regarding the endorsement of safe labor practices among farmers in Kuan-Chung Plain, China. The findings underscore the pivotal role of personal self-regulation in stimulating farmers' implementation of safe production behavior. Additionally, governmental and public monitoring can act as catalysts, motivating farmers to shift from conventional agricultural production methods to safer alternatives. Moreover, the results revealed that a synergistic effect arises from the collaboration between public and governmental monitoring, combined with individual self-regulation. This collaborative approach significantly enhances farmers' propensity to embrace safe production behavior. Hence, policymakers should prioritize educating farmers on ethical restraint, optimizing policy strategies, and strengthening supervision practices to establish an effective platform for public monitoring. These measures will augment farmers' comprehension of the significance of safe production behavior and empower them to proactively implement these behaviors.

Temporal-spatial pattern and driving factors of cultivated land use transition at country level in Shaanxi province, China.

The county-level Cultivated Land Use Form index (CLUF) in Shaanxi province in 2000, 2005, 2010, and 2015 was measured with the entropy method and the linear combination method. Then, the spatial differentiation characteristics and driving mechanism of CLUF were characterized and identified through exploratory spatial data analysis, standard deviation ellipse model, kernel density estimation, multiple linear, and spatial regression analysis. The conclusions drawn from empirical results were as follows. First, the CLUF presented a spatial differentiation pattern of high in the middle and low in the north and south, and the CLUF had a strong positive spatial correlation. The local spatial patterns were mainly the high-high agglomeration and low-low agglomeration. Second, the gravity center of CLUF moves from northeast to southwest, but it is always located in the central part of Shaanxi province. The CLUF showed a trend from expansion and decentralization to contraction and centralization in geographical space, with an obvious spatial spillover effect. Third, the results of nuclear density estimation showed that the difference in the CLUF between counties displayed a trend of first shrinking and then expanding. Fourth, the cultivated land use transition was promoted by the combination of the natural environment, economic growth, and urbanization development, and factors of the driving mechanism of the cultivated land use transition are complicated. Finally, policy recommendations to promote the rationalization and cultivated land use transition were put forward, such as strengthening infrastructure construction, formulating differentiated policies, and giving play to the role of neighboring demonstrations.

The impact of internet use and cognitive conflict on farmer IPM technology adoption: evidence from China.

BACKGROUND: Integrated pest management (IPM) plays a crucial role in protecting agricultural environments and enhancing the quality of agricultural products. However, a major challenge in China is the conflicting understanding of IPM among farmers, leading to low adoption rates. This undermines farmers' ability to control pests and diseases while increasing risks to agricultural quality and safety. This study aimed to investigate the impact of cognitive conflicts on farmers' adoption of IPM in kiwifruit farms in Shaanxi and Sichuan provinces. Additionally, the study explored the moderating role of internet use in the relationship between cognitive conflicts and farmer adoption of IPM. Data were collected from 686 kiwifruit farms through field surveys in 2018. The binary Probit model and moderating effect models were used to assess the influence of internet use and cognitive conflict on farmer adoption of IPM. RESULTS: The study found that cognitive conflicts significantly hindered farmers' adoption of IPM. Higher levels of cognitive conflict were associated with lower likelihoods of adopting IPM. Internet use and frequency had positive effects on farmer adoption of IPM, promoting its implementation. Moreover, internet use and frequency helped alleviate the inhibitory effect of cognitive conflicts on farmer adoption IPM. CONCLUSION: This research enhances our understanding of cognitive conflicts among farmers when promoting IPM and provides viable strategies to improve the effectiveness of public sector promotion and stimulate farmers' willingness to adopt IPM. It emphasizes the importance of addressing cognitive conflicts and utilizing internet resources to enhance IPM adoption among kiwifruit growers in China. © 2024 Society of Chemical Industry.

[Factors Influencing Willingness of Farmers to Pay for Agricultural Non-point Source Pollution Control Based on Distributed Cognitive Theory].

The analysis of the willingness of individual farmers to cover costs is an important basis for measuring the economic value of agricultural non-point pollution management， and determining the ecological and economic value of rural surface pollution control is a necessary measure to internalize the externalities of agricultural production. Based on the analysis of the hierarchy of factors influencing the cognition of farmers， this study constructed a theoretical framework based on distributed cognition theory to analyze their willingness to pay for agricultural non-point source pollution control from the perspective of individual farmers. On the basis of this framework， we used the Double-Hurdle model to empirically test the overall process of farmers'willingness to pay and their willingness to pay the amount for agricultural non-point source pollution control by combining 531 microscopic research datapoints in Guanzhong， Shaanxi Province. The results showed that： ① the number of farmers with willingness to pay for agricultural non-point source pollution control was 267， accounting for 50.30% of the total sample， and the average value of willingness to pay was 1 469.77 yuan·hm-2； the total economic value of agricultural non-point source pollution control in Shaanxi Province in 2020 was estimated to be 5.791 billion yuan based on the expected value of the willingness to pay level of the research sample. ② Farmers'willingness to pay for agricultural non-point source pollution control was influenced by the combined effects of personal， regional， and cultural forces， and the effects of each dimension were similar； farmers' willingness to pay for agricultural non-point source pollution control was mainly influenced by the cultural force factor， and the effects of personal and regional forces were very limited. ③ The results of the regressions by income level showed that personal and cultural strengths had a significant impact on the willingness to pay among the low-income group but did not contribute to the increase in the willingness to pay.

Can the Participation in Quality Certification of Agricultural Products Drive the Green Production Transition?

The green production transition in agriculture is all about the quality of agricultural products at the source of production. Whether the product quality certification can accelerate the green production transition in agriculture is an issue of concern. We have measured the degree of green production transition of kiwifruit growers using a finite mixture model in this paper, and use research data from the main kiwifruit production areas in Shaanxi and Sichuan provinces to verify the impact of conducting product quality certification on the green production transition of kiwifruit growers. Besides, we use a multi-valued treatment effects model to verify the differences in the degree of green production transition among kiwifruit growers in the face of different certification types. Our findings are mainly as follows: the degree of green production transition among kiwifruit growers is not high, with an average of only 36.3%. Product quality certification can significantly promote the green production transition of kiwifruit growers, and the promotion effect of different certification methods in green production transition of kiwifruit growers significantly varies. The promotion effect of organic certification is greater than that of green certification and pollution-free certification. Further, the mechanism test analysis reveals that product quality certification can influence the green production transition of kiwifruit growers through three mechanisms: quality monitoring, market premium, and market access threshold. Based on this, this paper proposes policy recommendations to advance quality certification and green production transition among kiwifruit growers to increase the certification, enhance the willingness to green transition, and boost the differentiated certification system.

Socioeconomic status, ambidextrous learning, and farmers' adoption of biological control technology: evidence from 650 kiwifruit growers in China.

BACKGROUND: Rural China is characterized as having different rates of economic growth. The resource and socioeconomic statuses of farm households greatly affect their productivity and the activities they engage in. The main objective in this study was to explore the mechanisms concerning how socioeconomic status of kiwifruit growers affects their adoption of biological control technology (BCT). To achieve this objective, field survey data from 650 kiwifruit farmers in specific kiwifruit growing areas of Shaanxi and Sichuan provinces in China were investigated. The binary probit model and Bootstrap dual mediated utility models served to assess socioeconomic status's effect on farmers' BCT adoption. RESULTS: This study discovered a significant positive correlation between socioeconomic status and the adoption rate of biological control technology. Farmers of various socioeconomic status have significant differences in the rate of BCT adoption. This study's empirical analysis found that exploratory learning and exploitative learning under dual learning had a significant mediating effect on farmers' socioeconomic status when it came to BCT acceptance. CONCLUSION: Results show that the rate of BCT adoption is related to farmers' socioeconomic status and dual learning mode, which provides new insights for understanding how farmers implement new technology. This study will help agricultural extension departments increase their awareness of BCT adoption by farmers, and the development of diverse learning approaches in response to differences in socioeconomic status of farmers may significantly increase their likelihood to implement BCT. © 2021 Society of Chemical Industry.

Internet can do help in the reduction of pesticide use by farmers: evidence from rural China.

Promoting agrochemical reduction is a prerequisite for high-quality development of agriculture. It is still controversial whether Internet use can reduce pesticide use. This study uses the survey data of 670 vegetable growers of two provinces in China, Shandong and Shaanxi. Probit model and bootstrap method were used to analyze the impact of Internet use in reduction of pesticide application by farmers. Shallow use and deep use of the Internet were taken into account. On this basis, multiple mediating effects were tested on the following three aspects: information acquisition ability, awareness of green production, and e-commerce sales capability. The study found that shallow use and deep use of the Internet have a significant direct impact on pesticide reduction by farmers. Information acquisition ability, awareness of green production, and e-commerce sales capability all play a significant positive mediating role in the deep use of the Internet affecting pesticide reduction. However, in the process of shallow use of the Internet affecting pesticide reduction, only the mediating effect of green production awareness is significant. Concurrently, compared with the shallow use of the Internet, the deep use of the Internet has a significant positive impact on rural groups with weak human capital and weak social capital.

Measurement and spatial convergence analysis of China's agricultural green development index.

Based on the comprehensive evaluation system of agricultural green development index (AGDI), this paper uses entropy weight method and linear weighted sum method to measure the agricultural green development level of 31 provinces in China from 2013 to 2018. We then incorporate spatial correlation into the traditional convergence test model, study the spatial convergence of AGDI, and explore the reasons for regional differences in AGDI. The results show that the level of AGDI in China showed an overall growth trend during the sample survey period, but there were significant differences in the rate of AGDI among different regions, mainly manifested as "eastern > western > central." The AGDI shows a significant positive spatial correlation on the whole, and its overall spatial distribution is characterized by high-high agglomeration and low-low agglomeration. The provinces with higher and lower level of AGDI still maintain the original relatively concentrated distribution in geographical space. On this basis, the study examines the regional differences of AGDI and its evolution by Dagum Gini coefficient decomposition and spatial convergence. The results showed that the overall difference of AGDI showed a fluctuating downward trend. The intra-regional difference of AGDI in the western region was the largest, and that in the eastern region was the smallest. The contribution rate of intensity of transvariation among regions was the main source of the relative difference of AGDI. Meanwhile, the AGDI of the overall, eastern, central, and western regions present significant σ convergence and conditional ß convergence. Except for the central region, the overall, eastern, and western regions present significant absolute ß convergence. The low-level areas of AGDI have significant "catch-up effect" on the areas with high-level AGDI. Based on the above results, this paper also puts forward some policy suggestions from the perspective of cross-regional collaborative governance to improve China's agricultural green development mode and narrow the regional differences of China's agricultural green development.

Tracking sustainable development efficiency with human-environmental system relationship: An application of DPSIR and super efficiency SBM model.

Sustainable development of the Yellow River Basin, China, has gained comprehensive realistic and academic attention as a significant part of high-quality development. Current study used the 30 years (1997-2017) panel data of 9 provinces and constructed Drivers, Pressure, State, Impact and Response analysis framework and super efficiency Slack-Based Measure (DPSIR-SBM) model to evaluate rural sustainable development efficiency (RSDE). For the reason, the convergence, divergence and their influencing factors are discussed from three aspects, which are σ convergence, absolute ß convergence and conditional ß convergence. The research findings revealed that the RSDE in yellow river basin display a fluctuating downward pattern per an average decrease rate of 0.03%, while regional differences exist in three sub-basins. The upper and lower basins display a fluctuating upward pattern, whereas the middle basin present a fluctuating downward pattern. Moreover, regional differences were also observed from the average RSDE, followed by the spatial pattern of "upper basin > lower basin > middle basin". σ convergence exist in the whole basin as well as in its upper basin, while absolute ß convergence exists in the whole basin and in the lower basin, and there exists conditional ß convergence in the whole as well as in all the three sub-basins. Initial RSDE, planting structure, financial autonomy rate and mechanization level inhibit the improvement of RSDE, while urbanization level and rural GDP per capita have negative and non-significant impact on RSDE of the whole basin.

Screening of agricultural land productivity and returning farmland to forest area for sensitivity to rural labor outward migration in the ecologically fragile Loess Plateau region.

The mechanism of the non-agricultural transfer of rural labor to agricultural production efficiency and their interrelationships is a problem worthy of further discussion at this stage in China. The mediating effect model is constructed, the least square method is used for regression, and the instrumental variable method is used to solve the possible endogeneity problem. Through the investigation of farmers in Loess Plateau region, this paper analyzes the effects of factor substitution and planting structure adjustment after agricultural labors work outside and its impact on agricultural land output from the theoretical and empirical aspects, as well as the impact of off-farm employment on agricultural land output under different constraints. Results showed that the negative influence of labor non-agricultural transfer on farmland land output rate is - 7.264, and farmers' participation in returning farmland to forests can alleviate the negative impact of non-agricultural transfer on the agricultural land output. Labor substitution factor investment plays a part in the mediating effect, and part of the mediating effect is - 0.879. The adjustment of agricultural planting structure plays the whole mediating effect, that is to say, the larger the scale of labor non-agricultural transfer in Loess Plateau area, the more unfavorable for farmers to invest in labor substitution agricultural factors of production, and the more they are inclined to grow food crops. When the constraint conditions of factor substitution difficulty and planting structure adjustment space are considered, the higher the factor substitution difficulty is, the smaller the planting structure adjustment space; the negative effect of the non-agricultural transfer of labor on the agricultural land output rate is more obvious. It provides effective reference value to judge the development stage and trend of regional agriculture and puts forward relevant policy suggestions to guarantee the development of regional agriculture and farmers' life.