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| DOI：10.13522/j.cnki.ggps.2022577 |
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| Using DEA Model and Malmquist Index to Analyze Efficiency of Farmland Water Infrastructure in Henan Province |
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LIU Guifang, YAO Feng
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School of Public Administration, Hohai University, Nanjing 211100, China
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| Abstract: |
| 【Objective】This study is to comprehensively analyze the efficiency of farmland water infrastructure in Henan province and provide guidelines for sustainable utilization of water resources in agriculture.【Method】Using data measured from 2013 to 2020 from 15 cities in the province, the efficiency of farmland water infrastructure was evaluated using the DEA model and the Malmquist index. Redundancy analysis was conducted to identify the areas of improvement for non-DEA effective regions in 2020. The evaluation considered both static and dynamic aspect to assess the efficiency of the farmland water infrastructure. 【Result】 In 2020, six cities, including Kaifeng, Hebi, and Jiaozuo, achieved DEA efficiency, while the remaining cities were deemed inefficient. The non-DEA effective regions exhibited varying degrees of input redundancy and output deficiencies. For example, Zhengzhou had high input redundancy in reservoirs and primary industry employment; Xinxiang had high input redundancy in rural electricity consumption; Zhengzhou and Xuchang had output deficiencies in the total output value of agriculture, forestry, animal husbandry, and fishery; Luoyang had output deficiencies in the irrigated area. The total factor productivity of the farmland water infrastructure in the province exhibited an average growth at a rate of 10.0% from 2013 to 2020, driven primarily by technological progress. 【Conclusion】To promote sustainable development, resource allocation should be tailored to local conditions, and efforts should be made to facilitate the non-agricultural transfer of rural labor, thereby reducing non-effective investment in farmland water conservation. Leveling regional development of farmland water infrastructure can benefit from policy support and innovative funding. Integrating science and technology innovation can facilitate modernization of the farmland water infrastructure. |
| Key words: farmland water infrastructure; efficiency analysis; DEA-BCC; Malmquist index; redundancy analysis |
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