Spatial-temporal characteristics and influencing factors of agricultural eco-efficiency in China in recent 40 years |
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| Institution: | 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;2. Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China;3. School of Political Science and Public Administration, Huaqiao University, Quanzhou 362021, China;1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences(CAS), 11A Datun Road, Chaoyang district, Beijing, 100101, China;2. Institute of Urbanization, Beijing City University, No. 269 Beisihuan Zhonglu, Haidian District, Beijing, 100083, China;1. School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei Province, 430079, China;2. State Key Laboratory of Soil and Sustainable Agriculture, Chinese Academy of Sciences, Nanjing, 210008, China;3. Centre of Development Studies, University of Cambridge, Cambridge, CB3 9DT, UK;4. Department of Land Economy, University of Cambridge, Cambridge, CB3 9EP, UK;1. Poznań University of Economics and Business, Al. Niepodleg?o?ci 10, 61-875, Poznań, Poland;2. Poznań University of Life Sciences, Ul. Wojska Polskiego 28, 60-637, Poznań, Poland;1. Faculty of Resources and Environmental Science, Hubei University, Wuhan, 430062, China;2. School of Resources and Environmental Sciences, Wuhan University, Wuhan, 430079, China;3. School of Public Administration, China University of Geosciences, Wuhan, 430074, China |
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| Abstract: | Chinese agricultural output has been multiple under the intensive input of production factors since the reform and opening-up. Such a growth pattern that realizes high output through high input results in increasingly prominent environmental pollution problems. Considering the provincial panel data in China during 1978–2017 as the research units and taking agriculture in broad sense as the study object, the agricultural eco-efficiency (AEE) was measured by the Super-SBM Model, and the influencing factors were screened out from agricultural basic condition, agricultural industrial structure, agricultural development potential and agricultural input strength. The findings indicated that agricultural expected output and unexpected output were synchronously increased, while the change of input factors was totally different and gradually transferred to materiality from resources. In 1978–2017, AEE was increased to 0.713 from 0.405, with an increase of about 76%. And it approximately underwent four stages, including free development, reform promotion, market regulation and policy incentives. Under the resource restraint and policy incentives, AEE showed that Northeast, East and South China were higher than the national average level. North and Central China basically fitted for the national average level, and Southwest and Northwest China were lower than the national average level. Also, it was successively present in some spatial characteristics including polarization, differentiation, agglomeration and reconstruction on the provincial scale. The magnitude and direction of influencing factors indicated that the introduction of subsidy policies for compound fertilizers, an increase of farmers’ incomes, optimization of agricultural plantation structure, and maintenance of stable agricultural product prices could effectively improve AEE. |
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| Keywords: | Agricultural eco-efficiency Agricultural regional types Sustainable land use Agricultural management engineering China |
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