Education, Science, Technology, Innovation and Life
Open Access
Sign In

Study on Grain Yield Changes and Driving Factors in Shanxi Province from 1999 to 2018

Download as PDF

DOI: 10.23977/agrfem.2021.040101 | Downloads: 14 | Views: 894


Dan Wu 1,2


1 Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an 710075, China; Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an 710075, China
2 Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of natural Resources, Xi'an 710075, China; Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an 710075, China

Corresponding Author

Dan Wu


In-depth understanding of the changes in grain production in Shanxi Province, and studying its main influencing factors, can provide scientific and reasonable theoretical references for the construction of food security policies.This paper selects the grain output data of Shanxi Province from 1999 to 2018 as the basic data, and uses the principal component analysis method to explore the main influencing factors of grain output change.The results show that the grain output of Shanxi Province has increased in fluctuation, and the development trend of total grain output, per capital grain output and grain output per unit area is basically the same. The results of the principal component analysis divide the 11 factors that affect food production into two principal components, which are the two components of agricultural modernization input and technology level and land input level. From the two component analysis, the agricultural diesel consumption and agricultural machinery are found. The total power and other factors reflect that the improvement of agricultural modernization has an increasingly significant impact on grain production and output, and has a great promotion effect on grain production. The increase in the use of agricultural materials such as fertilizer application, rural employees, and agricultural plastic film usage can increase Provincial grain production.


Grain yield, Principal component analysis, Influencing factors


Dan Wu, Study on Grain Yield Changes and Driving Factors in Shanxi Province from 1999 to 2018. Agricultural & Forestry Economics and Management (2021) Vol. 4: 1-5. DOI:


[1] Yang Chun, Lu Wencong. Study on regional pattern of county grain production based on spatial econometric model [J]. Journal of Agrotechnical Economics, 2010 (5): 24-29.
[2] Liu Muhua. An empirical analysis of the impact of comprehensive natural disasters on grain yield in Hunan Province [D]. Hunan University of Science and Technology, 2015.
[3] Hu Huizhi, Wang Jianli, Wang Yong, et al.Temporal and spatial pattern evolution and influencing factors of grain production and food security at county level in the Yangtze River Basin from 1990 to 2015 [J]. Resources and Environment in the Yangtze Basin, 28 (02): 122-130.
[4] Gao Junbo, Liu Yansui, Zhang Yongxian. Temporal and spatial evolution and driving mechanism of grain production in the Huaihe River Basin from 1990 to 2012 [J]. Bulletin of Soil and Water Conservation (3): 179-185.
[5] Song Xiaosong, Leng Kailuo.Comparative analysis of factors affecting grain production in major grain-producing provinces in China [J]. Journal of Yunnan University of Finance and Economics, 2008 (3): 108-110.
[6] Liu Jiping, Liu Jiaxin. Dynamic change of spatial pattern of grain yield in Jilin Province in 25 years [J]. Journal of Northeast Agricultural University (5): 144-149.
[7] Ye Hui. Analysis of the factors affecting the comprehensive production capacity of grain in China under the market of purchase and sale [J]. Journal of Anhui Agricultural Sciences, 2009, 37 (3): 1339-1341.
[8] Xiao Haifeng, Wang Jiao. Analysis on the influencing factors of China's comprehensive grain production capacity [J]. Agrotechnical Economy, 2004 (6): 45-48.
[9] Hu Wenhai.Characteristics of grain production in Central China and its influence on national grain safety [J]. Geographical Research, 2008, 28 (4): 85-895.

Downloads: 947
Visits: 41526

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.