Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)

Evaluation of Agricultural Output Efficiency Based on DEA Model-Taking Xinjiang as an Example

Authors
Li Feng
Corresponding Author
Li Feng
Available Online June 2018.
DOI
10.2991/icmess-18.2018.271How to use a DOI?
Keywords
DEA model; Agricultural output efficiency; Technical efficiency; Scale efficiency
Abstract

In this paper, the CCR model in the data envelopment analysis model was used to calculate and analyze agricultural technology efficiency, pure technical efficiency, and scale efficiency in various regions of Xinjiang from 1994 to 2013. The efficiency of agricultural production in various regions of Xinjiang has improved rapidly. The efficiency is relatively high and relatively stable; the efficiency value between regions is quite different and so on. It is proposed to further improve agricultural production efficiency in various regions of Xinjiang by constructing agricultural economic cooperation organizations, improving the scientific nature of agricultural production, and making use of comparative advantages.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
10.2991/icmess-18.2018.271
ISSN
2352-5398
DOI
10.2991/icmess-18.2018.271How to use a DOI?
Copyright
© 2018, 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  - Li Feng
PY  - 2018/06
DA  - 2018/06
TI  - Evaluation of Agricultural Output Efficiency Based on DEA Model-Taking Xinjiang as an Example
BT  - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
PB  - Atlantis Press
SP  - 1229
EP  - 1234
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-18.2018.271
DO  - 10.2991/icmess-18.2018.271
ID  - Feng2018/06
ER  -