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The Frontiers of Society, Science and Technology, 2023, 5(15); doi: 10.25236/FSST.2023.051517.

Analyzing the Impact of Financial Support on Grain Yield Based on Multiple Linear Regression Models—Taking Shandong Province as an Example

Author(s)

Zhuo Liu, Bowen Xue, Yihan Wang

Corresponding Author:
Zhuo Liu
Affiliation(s)

Yanbian University, Yanbian, China

Abstract

The Twentieth Congress of the Communist Party of China (CPC) has brought the issue of food security back into the limelight. Grain production as a major indicator of food security issues plays an important role in the sound development of the country. In this paper, based on the data of Shandong Province from 2012 to 2020, a multiple linear regression model is set up by using stata software for empirical research to analyze the linear relationship between financial support and grain production. And further explore the utility destination of financial support on grain yield. The results show that: there is an obvious linear relationship between financial support and food production, and financial support has a positive effect on food production; the results of financial support transformed into agricultural infrastructure to play a role in the utility of the results are not significant; financial support can be indirectly ways to improve food production. Based on this conclusion, the paper makes reasonable recommendations.

Keywords

Food production; financial support; multiple linear regression; empirical analysis

Cite This Paper

Zhuo Liu, Bowen Xue, Yihan Wang. Analyzing the Impact of Financial Support on Grain Yield Based on Multiple Linear Regression Models—Taking Shandong Province as an Example. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 15: 100-105. https://doi.org/10.25236/FSST.2023.051517.

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