Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

A Regression Analysis of Chinese Agriculture in Shanxi Province

Authors
Juzhen Wu
Corresponding Author
Juzhen Wu
Available Online April 2016.
DOI
10.2991/emim-16.2016.298How to use a DOI?
Keywords
Agriculture; Regression analysis; Shanxi Province; County-level data
Abstract

This study is aimed to investigate which factors can impact regional agricultural output. We use 120 county-level data to do regression analysis of Chinese agriculture in Shanxi province. The result shows that rainfall, tractors, fertilizers usage, proportion of irrigated land all have significant impact on total agricultural output. In addition, this production function is not constant returns to scale. The econometric results also suggest that in order to increase the agricultural output in Shanxi province, the most efficient way is to increase the fertilizer usage and irrigated farmland. This study is very helpful for public policy to improve agricultural efficiency in Shanxi providence of China.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
10.2991/emim-16.2016.298
ISSN
2352-538X
DOI
10.2991/emim-16.2016.298How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Juzhen Wu
PY  - 2016/04
DA  - 2016/04
TI  - A Regression Analysis of Chinese Agriculture in Shanxi Province
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1470
EP  - 1474
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.298
DO  - 10.2991/emim-16.2016.298
ID  - Wu2016/04
ER  -