What drives the fluctuations of "green" productivity in China's agricultural sector? A weighted Russell directional distance approach

被引:118
作者
Liu, Ying [1 ]
Feng, Chao [2 ]
机构
[1] Weifang Univ Sci & Technol, Ctr Agr Sage Culture Studies, Weifang 262700, Shandong, Peoples R China
[2] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400030, Peoples R China
基金
中国国家自然科学基金;
关键词
Agriculture; Green; Productivity growth; Factor decomposition; WRDDM; Global DEA; ENVIRONMENTALLY SENSITIVE PRODUCTIVITY; EFFICIENCY CHANGE; INDUSTRIAL SECTORS; ENERGY EFFICIENCY; CO2; EMISSIONS; TECHNOLOGICAL-PROGRESS; STRUCTURAL-CHANGE; ECONOMIC-REFORMS; STEEL-INDUSTRY; GROWTH;
D O I
10.1016/j.resconrec.2019.04.013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is the most populous country in the world, and agriculture has played a large role in the country's remarkable economic achievements. However, the high levels of pollution and emissions from agriculture pose a threat to the nation's food and ecological security. Using a global weighted Russell distance function model, this paper attempts to provide strategies for the green development of China's agriculture by investigating the historical green total factor productivity. The results show that (1) during the sample period, China's agricultural green total factor productivity (AGTFP) showed a u-shaped trend, and the turning point was 2010. Technological progress in terms of agricultural output, energy use and pollutant treatment was the most powerful factor of growth after 2010, while the technological retrogression in terms of capital use was the main obstacle to growth. (2) Eastern China has the highest AGTFP, while western China has the highest AGTFP growth rate. This result indicates that eastern China is a leader in green agricultural development, while green agricultural development in western China is the most promising. The "mid-China collapse" occurred in the central China agricultural area. The collapse of the central region was mainly caused by a decline in pure technical efficiency; more specifically, the pure technical efficiency of fertilizer severely restricted the sustainable agricultural development of this area. (3) The provinces that have great spatial differences in terms of agricultural development and the driving factors of AGTFP can develop suitable green agricultural development strategies based on the results presented in this study.
引用
收藏
页码:201 / 213
页数:13
相关论文
共 62 条
[1]  
[Anonymous], 2000, AGR EC
[2]   Exact relations between Luenberger productivity indicators and Malmquist productivity indexes [J].
Balk, Bert M. ;
Fare, Rolf ;
Grosskopf, Shawna ;
Margaritis, Dimitris .
ECONOMIC THEORY, 2008, 35 (01) :187-190
[3]  
Ball VE, 2004, J AGR RESOUR ECON, V29, P436
[4]  
Banos Carlos Pestana, 2012, OMEGA, V40, P1
[5]   Agricultural productivity, structural change, and economic growth in post-reform China [J].
Cao, Kang Hua ;
Birchenall, Javier A. .
JOURNAL OF DEVELOPMENT ECONOMICS, 2013, 104 :165-180
[6]   Profit, directional distance functions, and Nerlovian efficiency [J].
Chambers, RG ;
Chung, Y ;
Fare, R .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1998, 98 (02) :351-364
[7]  
Chen P-C., 2014, Non-radial Directional Performance Measurement with Undesirable Outputs
[8]   Total factor productivity growth in China's agricultural sector [J].
Chen, Po-Chi ;
Yu, Ming-Miin ;
Chang, Ching-Cheng ;
Hsu, Shih-Hsun .
CHINA ECONOMIC REVIEW, 2008, 19 (04) :580-593
[9]   'Green' productivity growth in China's industrial economy [J].
Chen, Shiyi ;
Golley, Jane .
ENERGY ECONOMICS, 2014, 44 :89-98
[10]  
Coelli T., 2003, Journal of International Development, V15, P321, DOI 10.1002/jid.975