| Cite this article: | 刘桂芳,姚峰.基于DEA和Malmquist指数的农田水利基础设施生产效率分析——以河南省部分省辖市为例[J].灌溉排水学报,0,():-. |
| LIU Guifang,YAO Feng.基于DEA和Malmquist指数的农田水利基础设施生产效率分析——以河南省部分省辖市为例[J].灌溉排水学报,0,():-. |
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| DOI： |
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| Study on the Efficiency of Farmland Water Infrastructure in Some Provincial Cities of Henan Province Based on DEA Model and Malmquist Index |
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LIU Guifang, YAO Feng
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School of Public Administration,Hohai University
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| Abstract: |
| 【Objective】The efficiency of farmland water infrastructure in Henan Province was analyzed in a comprehensive manner, to provide suggestions for promoting the rational use of farmland water resources.【Method】The panel data of 15 provincial cities of Henan Province from 2013 to 2020 were selected to conduct an empirical study on the efficiency of farmland water infrastructure in Henan Province using DEA model and Malmquist index, and redundancy analysis was conducted for non-DEA effective areas in 2020. The efficiency of farmland water infrastructure in each provincial city was evaluated from static and dynamic perspectives.【Result】In 2020, six cities, including Kaifeng, Hebi and Jiaozuo, reached DEA effective, while the rest were invalid; non-DEA effective regions all had varying degrees of input redundancy and output deficiencies, with Zhengzhou having high input redundancy in reservoirs and primary industry employment, Xinxiang having high input redundancy in rural electricity consumption, Zhengzhou and Xuchang having relatively high output deficiencies in total output value of agriculture, forestry, animal husbandry and fishery, and Luoyang having relatively high output deficiencies in irrigated area; total factor productivity of farmland water infrastructure in selected provincial cities in Henan Province from 2013-2020 reached an average growth rate of 10.0%, with a fluctuating growth trend, driven mainly by technological progress.【Suggestion】Resources can be allocated according to local conditions and to promote the non-agricultural transfer of rural labour, to curb blind investment in farmland water conservation; areas lagging in the development of farmland water infrastructure can use policy support and innovative funding to provide security of development, thus alleviating regional disparities in the development of farmland water infrastructure ; combine science and technology innovation with farmland water infrastructure projects, and use the projects to drive the development and promotion of water conservancy science and technology, thus achieving the modernization of farmland water infrastructure in the region. |
| Key words: farmland water infrastructure; efficiency analysis; DEA-BCC; Malmquist index; redundancy analysis |
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