LAPSE:2019.1571
Published Article
LAPSE:2019.1571
Evaluating Production Process Efficiency of Provincial Greenhouse Vegetables in China Using Data Envelopment Analysis: A Green and Sustainable Perspective
Yuhu Liang, Xu Jing, Yanan Wang, Yan Shi, Junhu Ruan
December 11, 2019
The evaluation of vegetable production process efficiency is of great significance for energy saving and waste reduction in production processes. However, few studies have considered the effect of greenhouse vegetable production process efficiency on energy saving and waste reduction. In this paper, data envelopment analysis (DEA) is used to analyze the production process efficiency and the effective use of input elements of greenhouse vegetables at the provincial level in China. The results reveal that many chemical fertilizers, farmyard manure, and pesticides in China are inefficient. On the other hand, the pure technical efficiency of greenhouse tomatoes and cucumbers is low in most areas of China. Meanwhile, the scale efficiency of greenhouse eggplants and greenhouse peppers is low in most areas of China. In order to save energy and develop green sustainable agriculture, we put forward some suggestions to improve the production efficiency of greenhouse vegetables in different provinces.
Keywords
data envelopment analysis, efficiency evaluation, greenhouse vegetables, production process, Renewable and Sustainable Energy
Suggested Citation
Liang Y, Jing X, Wang Y, Shi Y, Ruan J. Evaluating Production Process Efficiency of Provincial Greenhouse Vegetables in China Using Data Envelopment Analysis: A Green and Sustainable Perspective. (2019). LAPSE:2019.1571
Author Affiliations
Liang Y: College of Economics and Management, Northwest A&F University, Yangling 712100, China
Jing X: College of Information Engineering, Northwest A&F University, Yangling 712100, China
Wang Y: College of Economics and Management, Northwest A&F University, Yangling 712100, China
Shi Y: General Education Center, Tokai University, Kumamoto 862-8652, Japan
Ruan J: College of Economics and Management, Northwest A&F University, Yangling 712100, China [ORCID]
Journal Name
Processes
Volume
7
Issue
11
Article Number
E780
Year
2019
Publication Date
2019-11-01
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7110780, Publication Type: Journal Article
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LAPSE:2019.1571
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doi:10.3390/pr7110780
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Dec 11, 2019
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Dec 11, 2019
 
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Calvin Tsay
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