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Analysis of Agricultural Water Use Efficiency in Shandong Province Based on DEA and Malmquist Model
Author(s) -
Yuyu Liu,
Geng Jingjing,
Linlin Zhang,
Xin Jiang,
Yongfei Fu,
Lin Lin
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/585/1/012090
Subject(s) - malmquist index , agriculture , panel data , agricultural economics , water use efficiency , food security , environmental science , resource (disambiguation) , economic shortage , water scarcity , productivity , agricultural science , water resource management , agricultural engineering , total factor productivity , geography , economics , agronomy , engineering , economic growth , computer network , linguistics , philosophy , government (linguistics) , irrigation , computer science , econometrics , biology , archaeology
Water resource shortage has become a restricting factor for social and economic development. Improving water use efficiency of agriculture is an important way to alleviate water resource pressure and ensure food security. Based on DEA and Malmquist models, this paper calculated and analyzed the technical efficiency, scale efficiency and pure technical efficiency of agriculture using panel data from 17 cities in Shandong province from 2007 to 2017. Then, panel data of grains, beans, tubers, oils, cotton and vegetables were selected for the analysis of water use efficiency. The results showed that: (1) the water use efficiency of agriculture in Shandong Province increased year by year; (2) there are significant differences in water use efficiency of agriculture among cities; Qingdao, Jinan and Yantai are higher, while Dezhou and Heze are lower. (3) oil and cotton are the crops with the highest water use efficiency in agriculture in Shandong province. Under the premise of ensuring the required crop production, more oil and cotton can be considered to be planted.

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