Peer Effects on Farmers’ Purchases of Policy-Based Planting Farming Agricultural Insurance: Evidence from Sichuan Province, China

Bao, Xueling; Zhang, Fengwan; Guo, Shili; Deng, Xin; Song, Jiahao; Xu, Dingde

doi:10.3390/ijerph19127411

Cited by 9 publications

(6 citation statements)

References 40 publications

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“…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).…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing the Paddy Farmers' Intention to Purchase Crop Insurance: A Study Case in Kedah

Johari,

Saili,

Ahmad

et al. 2024

IJARBSS

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Agricultural risks in Malaysia are caused by a range of variables, including climate unpredictability and change, uncertainty in yields and pricing, an imperfect market, inaccessibility to financial services, and a lack of risk mitigation measures. Crop insurance may be a significant formal document for rural farmers in developing countries to reduce alternative risks and protect against production hazards caused by climate and weather change. This study examines the factors that influence paddy farmers' intention to purchase agriculture crop insurance in Pokok Sena, Kedah. One hundred eleven paddy farmers with farmland size under 1 hectare are selected, and a structured questionnaire is used to collect data from the respondents. The data are analysed with descriptive statistics, correlation, multiple linear regression, and ANOVA analysis. The significant variables influencing paddy farmers' intention to purchase crop insurance are knowledge, risk attitude, and social factors, with a p-value of 0.038, 0.001, and 0.001, respectively. The highest factors influencing paddy

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Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing the Paddy Farmers' Intention to Purchase Crop Insurance: A Study Case in Kedah

Johari,

Saili,

Ahmad

et al. 2024

IJARBSS

View full text Add to dashboard Cite

show abstract

“…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 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…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 ].…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China

Zeng

Wang

2022

IJERPH

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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.

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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].…”

Section: Introductionmentioning

confidence: 99%

Rural Business Environments, Information Channels, and Farmers’ Pesticide Utilization Behavior: A Grounded Theory Analysis in Hainan Province, China

Fan,

Wang,

Wang

2024

Agriculture

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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.

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Peer Effects on Farmers’ Purchases of Policy-Based Planting Farming Agricultural Insurance: Evidence from Sichuan Province, China

Cited by 9 publications

References 40 publications

Factors Influencing the Paddy Farmers' Intention to Purchase Crop Insurance: A Study Case in Kedah

Factors Influencing the Paddy Farmers' Intention to Purchase Crop Insurance: A Study Case in Kedah

Agricultural Insurance and Agricultural Economic Growth: The Case of Zhejiang Province in China

Rural Business Environments, Information Channels, and Farmers’ Pesticide Utilization Behavior: A Grounded Theory Analysis in Hainan Province, China

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