Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China

Research Article

Study on the Impact of Policy Agricultural Insurance Business Development on Rural Economic Development – By using Regression Model

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  • @INPROCEEDINGS{10.4108/eai.9-12-2022.2327667,
        author={Cheng  Peng and Tian  Yue and Ziye  Liu},
        title={Study on the Impact of Policy Agricultural Insurance Business Development on Rural Economic Development -- By using Regression Model},
        proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2023},
        month={3},
        keywords={policy agricultural insurance; regression model; rural economic; yunnan province},
        doi={10.4108/eai.9-12-2022.2327667}
    }
    
  • Cheng Peng
    Tian Yue
    Ziye Liu
    Year: 2023
    Study on the Impact of Policy Agricultural Insurance Business Development on Rural Economic Development – By using Regression Model
    MSIEID
    EAI
    DOI: 10.4108/eai.9-12-2022.2327667
Cheng Peng1, Tian Yue1,*, Ziye Liu1
  • 1: Yunnan University of Finance and Economics International Business School Kunming
*Contact email: 137682769@qq.com

Abstract

Yunnan Province is located in the southwest of China. Due to the late start of agricultural insurance and weak development, Yunnan agricultural insurance has obvious complexity and particularity. The implementation of policy-based agricultural insurance can ensure agricultural production in Yunnan Province and play a certain role in the rural economy. In order to further determine the factors that affect the high-quality development of policy-based agricultural insurance in Yunnan Province, this article obtains relevant data through the China Statistical Yearbook, Yunnan Statistical Yearbook, Yunnan Ministry of Agriculture and Rural Affairs, the official website of PICC, China Climate Disaster Yearbook, etc. OLS is used to obtain unbiased estimates for the time-series data to establish a regression model. Pearson correlation coefficients are used as Pearson correlation coefficient was used as an indicator to verify the relevance of the data. At the same time, to ensure that the estimation of the OLS model is valid, a cointegration test between the explanatory variables and the control variables is done in the paper using VIF. Finally, this paper uses regression models to analyze the impact of agricultural insurance on the rural economy. To strengthen the construction of the agricultural insurance market system in Yunnan Province, it puts forward suggestions to promote the development of high-quality policy-based agricultural insurance in Yunnan Province.