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中国农业碳排放、低碳农业生产率及其协调性研究
田云1,2, 张俊飚3
0
(1.中南财经政法大学 应用经济学博士后流动站, 武汉 430073;2.中南财经政法大学 工商管理学院, 武汉 430073;3.华中农业大学 经济管理学院, 武汉 430070)
摘要:
运用DEA-Malmquist模型考察中国低碳农业生产率并利用Tapio脱钩模型探究农业碳排放与其之间的协调性。结果表明: 1)我国农业碳排放总量上升趋势较为明显,但年际间也伴随一定的波动起伏;农业碳排放强度一直处于下降趋势;农用物资、稻田与牲畜养殖所引发的碳排放量均呈上升趋势,其中农用物资碳排放所占比重一直处于上升趋势,而稻田与牲畜养殖的占比均有不同程度降低。 2)1993年以来,我国低碳农业生产率增速总体偏慢,年均仅为0.80%,基于其累计值的年际变化可划分为平稳起伏、波动下降和波动上升等3个阶段;从增长源泉看,农业前沿技术进步相比农业技术效率发挥了更为显著的作用。 3)我国农业碳排放与低碳农业生产率之间的脱钩类型1993—2002年主要表现为强负脱钩和扩张负脱钩;而2002—2012年则多种脱钩状态共存但以弱脱钩为主。
关键词:  农业碳排放  农业碳汇  低碳农业  DEA-Malmquist模型  脱钩模型
DOI:10.11841/j.issn.1007-4333.2017.05.024
投稿时间:2016-05-09
基金项目:国家社会科学基金重点项目(15AJY014);教育部人文社会科学研究青年基金(16YJC790092);中国博士后科学基金面上资助项目(2016M590735);中央高校基本科研业务费项目(2016GS10)
Agricultural carbon emission,low carbon agricultural productivity and their coordinated relation in China
TIAN Yun1,2, ZHANG Junbiao3
(1.Postdoctoral Research Station of Applied Economics, Zhongnan University of Economics and Law, Wuhan 430073, China;2.School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China;3.College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China)
Abstract:
DEA-Malmquist model is adopted to investigate the low-carbon agriculture productivity in China,and the correlation between China's agricultural carbon emissions are then discussed and the low carbon agriculture productivity was investigated by using Tapio decoupling.The results show that: 1) The upward trend of the total agricultural carbon emission in China is obvious,while there exist certain ups and downs.The intensity of agricultural carbon emission has decreased.The trend of carbon emission that resulted from agricultural supplies,paddy fields and livestock keep rising.Among them,the proportion of agricultural supplies carbon emission increases with the proportion decrease of paddy fields and livestock at different degree; 2) China’s low-carbon agricultural productivity keeps growing at an annual rate of 0.80% from 1993,and according to the interannual variation of cumulative data.It can be divided into three stages,namely smooth undulating stage,wave decline stage and volatility rise stage.Agricultural frontier technology progress has played more significant effects on growth sources than agricultural technology efficiency;3) The decoupling type between China’s agricultural carbon emission and its carbon agricultural productivity is mainly strong negative decoupling and expanding negative decoupling during the period of 1993-2002.Though there are many kinds of decoupling coexist in 2002-2012,the weak decoupling is the principal type.
Key words:  agricultural carbon emission  agricultural carbon sink  low-carbon agriculture  DEA-Malmquist model  decoupling model