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The tendency to conform with peers, and learning by imitation, have become new influencing factors that affect farmers' purchases of policy-based planting agricultural insurance. Based on the survey data of 540 farmers in Sichuan Province in 2021, this study empirically analyzed the impact of peer effects on farmers' purchases of policy-based plant...
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... Consequently, several academic studies have undertaken an examination of the influence exerted by diverse business environments on farmers' productivity-related behaviors. Farmers' decisions regarding the adoption of new technologies, application of fertilizers, and farmland transfer procurement of agricultural planting insurance are significantly influenced by these factors [20][21][22][23][24][25][26]. ...
... These concerns, in turn, have engendered challenges in effectively overseeing the quality and safety of this vegetable. Zhang et al. (2022) [55] report that a Hainan Province investigation discovered 26 pesticide residues in cowpea samples from Ledong County and 21 from Sanya City. ...
Rural business environments and informational sources play a pivotal role in shaping the dynamics of pesticide utilization in the agricultural sector. This study investigates the intricate mechanisms through which these environments impact farmers’ pesticide utilization practices and elucidates the key factors within rural business environments and information channels that influence such behaviors. By identifying effective strategies to promote judicious pesticide use among agricultural practitioners, this research aims to enhance the government’s ability to provide precise guidance to farmers, ultimately contributing to the preservation of ecological integrity. Employing grounded theory in conjunction with a series of comprehensive interviews with 32 cowpea farmers to gain firsthand insights, our investigation yielded the following key findings: (1) the enhancement of rural business environments has mitigated the impact of neighborhood influences on farmers’ pesticide use behavior; (2) farmers predominantly base their pesticide choices on verifiable information; (3) the influence of pesticide retailers on farmers’ pesticide use has significantly increased. Based on these findings, a dual-pronged approach is proposed. First, there should be sustained commitment to bolstering rural infrastructure, enhancing the entrepreneurial climate in rural regions, and fostering market liberalization. Second, it is imperative to disseminate advanced pesticide knowledge, demarcate effective information, and intensify dissemination efforts.
... Farmers with a greater degree of education are more aware of and accept insurance and are likelier to purchase policy-based planting agriculture insurance. This also indicates that the higher the farmers' educational level, the greater their degree of adopting new things, receiving and interpreting news, and the higher their risk aversion (Bao et al., 2022). ...
... The peer effects refer to the interaction between individuals and various social relations subjects, and individual behavior choice is affected by the results of peer groups decisionmaking (Bao et al. 2022). In the case of incomplete information, farmers, as bounded rational people, tend to learn the relevant experiences of other subjects to improve the scientific nature of decision-making (Eise et al. 2021). ...
Guiding farmers to respond to climate change is of great significance to China's adaptation to climate change and global sustainable development. Using survey data of 540 farmers from Sichuan Province, the binary probit model and propensity score matching (PSM) method were used to analyze the peer effects on farmers' response to climate change. The results show that (1) the adaptive behaviors of relatives and friends, neighbors, and government have a significant positive effect on farmers' response to climate change; (2) the adaptability of different groups to climate change has different impacts on farm-ers' response to climate change, and the order of impacts is government > relatives and friends > neighbors; (3) farmers with smaller per capita arable land and lower per capita income are more inclined to respond to climate change under the influence of their relatives and friends', neighbors', and governments' adaptation to climate change; and (4) social trust and environmental perception play a significant mediating role in the peer effects of farmers' response to climate change. This study will provide reference for the government to guide farmers in making policies related to climate change.
... In the PES programs, as individuals who take collective action, farmers' willingness to participate is an important index to effectively measure the sustainability of the PES program [20]. Specifically, the willingness of individuals to participate in the PES program would not only affect their own behavioral decisions [21] but also affect the individual decisions of surrounding farmers through the neighborhood (peer) effect [22]. It is more sensitive in the provision of public goods than substantialized commodities. ...
Payments for ecosystem services (PES) are designed to reduce the impact of human activities on eco-sensitive areas. PES programs often adopt economic-incentive and command-control strategies. Increasing the enthusiasm of farmers’ participation is crucial for the sustainability of PES programs and ecosystem restoration. The watershed ecological compensation in Xin’an River Basin is the first horizontal ecological compensation pilot in China. In this study, economic-incentive strategy and command-control strategies in living and farming are implemented simultaneously to improve water quality. Under the collective action framework, we analyze the drivers of farmers’ participation in three concurrent strategies using hierarchical linear models (HLM). The results show: (1) Overall, 81.79%, 76.26%, and 79.11% of farmers are willing to participate in economic-incentive strategy, command-control strategy in living, and command-control strategy in farming, respectively, while 18.21%, 23.74%, and 20.89% are from the village level. (2) Among statistically significant (p < 0.01) factors at the farmer level, social trust (β = 0.305), and social participation (β = 0.134) have positive effects on the economic-incentive strategy; the number of communication and entertainment equipment has a positive effect on the willingness to participate in command-control strategy in living (β = 0.287) and command-control strategy in farming (β = 0.336). (3) At the village level, village characteristics have a direct impact on the farmers’ willingness to participate in strategies. Village woodland area is positively correlated with strategies participation. In addition, village characteristics play a moderating role by influencing farmers’ sustainable livelihood capital. We conclude that different concurrent strategies and collective actions need to be considered in the design of PES programs, particularly in ecologically sensitive areas, which can enrich the theory of collective action and the connotation of PES.
... The main reasons why farmers do not take out AI is the registration and share problems of their lands [45]. The tendency to conform with peers and learning by imitation have become new influencing factors that affect farmers' purchases of policy-based planting AI [46]. The factors affecting farmers' uptake of insurance are the amount of hazelnut production, non-agricultural income status, farmer's agricultural experience, total agricultural land assets, and the profitability of hazelnut production [8]. ...
... Meanwhile, carry out policy interpretation, guidance on claims, and mobilize farmers to voluntarily apply for insurance. Pay attention to the importance of the peer effect on the behavior of farmers purchasing policy-based planting agricultural insurance [46]. ...
Based on the theories of welfare economics, this paper analyzed the mechanism of agricultural insurance (AI) affecting agricultural economic growth (AEG), theoretically, and carried out an empirical analysis by using the random effects model and thirteen years of panel data, which included the annual data of 11 cities in Zhejiang Province, China, from 2007 to 2019. The gross output value of agriculture, forestry, animal husbandry, and fishery (GOVA) of 11 cities in Zhejiang Province is selected as the explained variable, agricultural insurance premium income (AIPI) as an explanatory variable. We selected area of waterlogging removal (AWR), rural electricity consumption (REC), total power of agricultural machinery (TPAM), and crop-sown area (CSA) as control variables. The study shows that: (1) the AIPI has a significant positive impact on the growth of GOVA. When other conditions remain unchanged, a 1% increase in AIPI increases the GOVA by 0.166%, accordingly; (2) The control variables of REC, TPAM, and CSA are statistically significant for the growth of the GOVA. The elasticity coefficient of REC is 0.325, the elastic coefficient of the TPAM is 0.287, and the elasticity coefficient of CSA is −0.281.
Agricultural insurance of China has covered all fields of agriculture, including forestry, animal husbandry and fishery. Although great progress has been made in the digital reform of agricultural insurance, the degree of digitalization of agricultural insurance is still slow. Farmers’ understanding and participation in agricultural insurance is the important consideration of promoting digital degree of agricultural insurance in Zhejiang Province. Focusing on the supply-side reform, the digital reform of agricultural insurance also needs to consider the situation of the demand-side of farmers, promote traditional agriculture to have been transformed from “relying on the weather” to “working with the weather”.
Rice yield potential in average still below achievement. Weed control process in rice cultivation one of key driver to increase yield and selective herbicide application adoption become main factor. There is indication rice farmer have low adoption to application rice selective herbicide. The purpose of this study to get clarifiy from farmer perspective regarding purchase decision factors for rice selective herbicide of farmers perspective. The method of this research use qualitative methods by study case approach with in-depth interview (IDI), focus group discussion (FGD) and composite performance index (CPI) among five rice key farmers as informants. The result of this study are price is main purchase decision factor of rice selective herbicide product compare quality, time and flexibility application. Promotion activity that conducted by private sector play important role in determining key buying decision factors in rice selective herbicide.
Rice yield potential in average still below achievement. Weed control process in rice cultivation one of key driver to increase yield and selective herbicide application adoption become main factor. There is indication rice farmer have low adoption to application rice selective herbicide. The purpose of this study to get clarifiy from farmer perspective regarding purchase decision factors for rice selective herbicide of farmers perspective. The method of this research use qualitative methods by study case approach with in-depth interview (IDI), focus group discussion (FGD) and composite performance index (CPI) among five rice key farmers as informants. The result of this study are price is main purchase decision factor of rice selective herbicide product compare quality, time and flexibility application. Promotion activity that conducted by private sector play important role in determining key buying decision factors in rice selective herbicide.
Agricultural low-carbon emission reduction is an essential part of China's ecological civilization construction. Farmers' low-carbon agricultural technology (LCAT) adoption has become an important means to achieve agricultural low-carbon emission reduction. Based on the survey data of 1080 farmers in Sichuan Province, farmers' LCAT adoption has been empirically studied using the combined estimate conditional mixed treatment model (CMP). The results show that the use of the Internet will substantially promote farmers' low-carbon tillage technology adoption and low-carbon fertilization technology adoption but has no significant impact on farmers' low-carbon pharmaceutical application technology adoption, low-carbon irrigation technology adoption, low-carbon agricultural film recycling technology adoption, and straw recycling technology adoption. Mechanism analysis shows that Internet use mainly affects farmers' low-carbon fertilization technology adoption through economic benefit cognition and affects farmers' low-carbon tillage technology adoption through ecological benefit cognition. This study can enhance our understanding of the relationship between Internet use and LCAT adoption and serve as a resource for rural digital infrastructure development and LCAT adoption-related policy design.
Encouraging farmers to respond to climate change is very important for agricultural production and environmental governance. Based on the data of 540 farmers in Sichuan Province, China, the effects of conformity tendencies on farmers’ adaptive behavior decisions to climate change were analyzed using the binary logistic model and propensity score matching method (PSM). The results show that (1) relatives’ and friends’ adaptive behaviors to climate change positively affect farmers’ adaptive behaviors to climate change. (2) Compared with relatives and friends who do not visit each other during the New Year (weak ties), the climate change adaptation behavior of relatives and friends who visit each other during the New Year (strong ties) has a more significant impact on the climate change adaptation behavior of farmers. (3) Farmers with higher education levels and agricultural products without disaster experience are more significantly affected by peer effects and more inclined to take measures to respond to climate change. (4) Social networks and social trust play a partially mediating role in the peer effects of farmers’ adaptation to climate change, but there are differences between relatives and friends with different strong and weak ties.
