Research Article
Regression Analysis on the Influencing Factors of Total Value of Agricultural Output in Sichuan Province
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326763, author={Linna Xie and Huimin He and Jingxiu Han and Ge Wen}, title={Regression Analysis on the Influencing Factors of Total Value of Agricultural Output in Sichuan Province}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={agricultural development; total value of agricultural output; sustainability; regression analysis}, doi={10.4108/eai.18-11-2022.2326763} }- Linna Xie
Huimin He
Jingxiu Han
Ge Wen
Year: 2023
Regression Analysis on the Influencing Factors of Total Value of Agricultural Output in Sichuan Province
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326763
Abstract
Regression analysis method was used in this research, and six variables of total agricultural machinery power, applying quantity of chemical fertilizer, total sown area, per capita GDP, agricultural population, and rural electricity consumption were selected to analyze the main factors affecting the total value of agricultural output of Sichuan. It is suggested that we should continue to increase the technical input and research and development in agricultural production, and improve the quality of land and improve the agricultural land sustainability. Only in this way can the growth of total agricultural output value of Sichuan Province be effectively promoted, thus promoting the economic development of Sichuan Province. This paper has reference value for the prediction on how to enhance the total value of agricultural output of Sichuan Province with different factor inputs.