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作 者:郑祥生 徐若梅[1] ZHENG Xiangsheng;XU Ruomei(College of Economics and Management,Anhui Agricultural University,Hefei 230036,China)
机构地区:[1]安徽农业大学经济管理学院,安徽合肥230036
出 处:《云南农业大学学报(社会科学版)》2022年第3期134-142,共9页Journal of Yunnan Agricultural University(Social Science)
基 金:安徽省科技创新战略与软科学研究专项项目“安徽省农业绿色全要素生产率的测算与提升路径研究——基于农业废弃物循环利用视角”(201806a02020039)。
摘 要:我国农业发展快速,但同时伴随着大量的能源消耗和环境污染问题。而提高农业能源效率是推动农业绿色低碳发展的重要举措。本文在测度以直接能投入作为非期望产出的CO;来源的农业能源效率的基础上,研究全国农业能源效率的变化趋势,以及各区域的收敛性和收敛速度。结果表明:2000—2018年我国平均全要素农业能源效率为0.64;从总体变化来看,我国全要素农业能源效率整体上呈上升趋势;分区域来看,区域间的全要素农业能源效率呈明显东高西低的态势。从聚类结果来看,内蒙古、山西、河北等13个省(区、市)为低效率地区,吉林、天津等9个省(区、市)为中效率地区,广西、北京等6个省(区、市)为高效率地区。收敛性结果表明,全要素农业能源效率由低效率地区向高效率地区发展,收敛速度为中部>东部>西部。最后,根据结论,提出加强农业要素区域间流通和提高农业技术转化率的政策建议。China’s agricultural development is rapid, but accompanied by a large number of energy consumption and environmental pollution. Improving agricultural energy efficiency is an important measure to promote the green and low-carbon development of agriculture. Therefore, based on the measurement of agricultural energy efficiency with direct energy input as the source of carbon dioxide not expected to be produced, this paper studies the changing trend of agricultural energy efficiency in China, as well as the convergence and convergence rate of each region. The results shows that China’s average total factor agricultural energy efficiency was 0.64 from 2000 to 2018. From the perspective of the overall change, the total factor agricultural energy efficiency in China is on the rise as a whole. By region, the total factor agricultural energy efficiency showed a trend of high in the east and low in the west. From the clustering results, 13 provinces, including Inner Mongolia, Shanxi and Hebei, are low efficiency regions, 9 provinces, including Jilin and Tianjin, are medium efficiency regions, and 6 provinces, including Guangxi and Beijing, are high efficiency regions. The convergence results show that the total factor agricultural energy efficiency developed from low efficiency area to high efficiency area, and the convergence rate was central > eastern > western. Finally, according to the conclusion, some policy suggestions are put forward to strengthen the inter-regional circulation of agricultural factors and improve the conversion rate of agricultural technology.
关 键 词:Undesirable-SBM模型 农业能源效率 系统聚类 收敛性
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