Research on Agriculture Productivity Efficiency Based on Factor Analysis and DEA Model-Taking Beijing-Tianjin-Hebei region of the Belt and Road as an Example

DOI

10.2991/assehr.k.201202.118How to use a DOI?

Keywords

DEA-BCC model, Factor analysis, Agricultural productivity efficiency, the Belt and Road

Abstract

Using the cross-section data from 30 provinces and cities in China, this paper investigates the relative agricultural efficiency of the Beijing-Tianjin-Hebei region of the Belt and Road by the factor analysis and DEA-BCC model. Against the backdrop of 30 provinces and cities of China, the result indicates that the relative agricultural efficiency of the Beijing-Tianjin-Hebei region is not very optimistic. There are some defects in both pure technical efficiency and scale efficiency, which means that the agriculture efficiency of these 3 regions is not in the optimal condition. The agricultural scale in Beijing and Tianjin are too small. Nevertheless, the agricultural scale is excessive in Hebei. The pure technical efficiency in Beijing is optimal, but in Tianjin and Hebei, they did not reach the efficient frontier. To realize the Coordinated Development of the Beijing-Tianjin-Hebei Region and to reach optimal agricultural efficiency, it should optimize the regional division of labor, strengthen agricultural technological innovation, and promote the circulation of regional factors.

Copyright

© 2020, 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/).

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TY  - CONF
AU  - Dian Zhang
AU  - Jian Min
PY  - 2020
DA  - 2020/12/03
TI  - Research on Agriculture Productivity Efficiency Based on Factor Analysis and DEA Model-Taking Beijing-Tianjin-Hebei region of the Belt and Road as an Example
BT  - Proceedings of the Second International Symposium on Management and Social Sciences (ISMSS 2020)
PB  - Atlantis Press
SP  - 207
EP  - 212
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201202.118
DO  - 10.2991/assehr.k.201202.118
ID  - Zhang2020
ER  -