The spatiotemporal dynamic evolution and influencing factors of agricultural green total factor productivity in Southeast Asia (ASEAN-6)

被引:10
作者
Hamid, Salman [1 ]
Wang, Qingqing [1 ]
Wang, Ke [1 ,2 ,3 ,4 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing, Peoples R China
[2] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing, Peoples R China
[3] Sustainable Dev Res Inst Econ & Soc Beijing, Beijing, Peoples R China
[4] Beijing Key Lab Energy Econ & Environm Management, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Green total factor productivity (GTFP); Global malmquist-luenberger (GML) productivity index; Panel quantile regression; Influencing factors; Agriculture sector; ASEAN-6; LAGRANGE MULTIPLIER TEST; PANEL COINTEGRATION; REGRESSION; SECTOR; CHINA;
D O I
10.1007/s10668-023-03975-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The assessment of agricultural green total factor productivity (GTFP) is indispensable for simultaneous increase in production efficiency and eco-environmental performance to enhance regionally coordinated sustainable green development of agriculture. In this context, considering undesirable output of carbon emissions in the total factor framework, this is a pioneer research to analyze the spatiotemporal dynamic evolution and several influencing factors of agricultural GTFP in six Southeast Asian (ASEAN-6) countries by adopting the global Malmquist-Luenberger productivity index, which can overcome the infeasibility issue and the panel quantile regression, which can overcome limitations of the conventional regression approaches, that is, the distribution of the error terms and sensitivity to outliers. The empirical results indicate: (a) agricultural GTFP increased during 2000-2019 signifying a sustainable route for agricultural green development at regional level; (b) the higher the level of green technology, the higher would be the possibility of agricultural GTFP improvement; therefore, green technological innovation was the sole contributor whereas green technical efficiency restrict agricultural GTFP; (c) four out of six countries had achieved technological progress with significant increase in their innovative capabilities whereas five out of six countries had stagnant technical efficiency; (d) all the influencing factors of agricultural GTFP had a heterogenous affect across different quantiles. The endowment structure and regional opening demonstrated the highest significant favorable impact across the lower and the higher green productive countries. In contrast, agricultural carbon intensity had a highly significant heterogeneous inhibitory impact whereas agricultural energy intensity had increasing inhibitory impact from the lower to the higher green productive countries. The essential strategies to improve agricultural GTFP in ASEAN-6 countries include encouraging regionally coordinated agricultural development, strengthening technological advancements, promoting production efficiency in terms of green development, optimizing production structure, mutual recognition and expansion of agricultural opening-up level, and minimizing energy and carbon intensity of agriculture sector.
引用
收藏
页码:2469 / 2493
页数:25
相关论文
共 44 条
  • [21] The importance of energy quality in energy intensive manufacturing: Evidence from panel cointegration and panel FMOLS
    Liddle, Brantley
    [J]. ENERGY ECONOMICS, 2012, 34 (06) : 1819 - 1825
  • [22] China's agricultural green total factor productivity based on carbon emission: An analysis of evolution trend and influencing factors
    Liu, Dongdong
    Zhu, Xiaoyan
    Wang, Yafei
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 278
  • [23] Green productivity growth and competition analysis of road transportation at the provincial level employing Global Malmquist-Luenberger Index approach
    Liu, Hongwei
    Yang, Ronglu
    Wu, Dongdong
    Zhou, Zhixiang
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 279
  • [24] Agricultural Productivity Growth and Its Determinants in South and Southeast Asian Countries
    Liu, Jianxu
    Wang, Mengjiao
    Yang, Li
    Rahman, Sanzidur
    Sriboonchitta, Songsak
    [J]. SUSTAINABILITY, 2020, 12 (12)
  • [25] What drives the fluctuations of "green" productivity in China's agricultural sector? A weighted Russell directional distance approach
    Liu, Ying
    Feng, Chao
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2019, 147 : 201 - 213
  • [26] Green efficiency changes of comprehensive transportation in China: Technological change or technical efficiency change?
    Ma, Qifei
    Jia, Peng
    Kuang, Haibo
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 304
  • [27] Majid M. S. A., 2022, IOP Conference Series: Earth and Environmental Science, V951, DOI 10.1088/1755-1315/951/1/012051
  • [28] Evaluating environmental performance using data envelopment analysis: The case of European countries
    Matsumoto, Ken'ichi
    Makridou, Georgia
    Doumpos, Michalis
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 272 (272)
  • [29] Airlines' eco-productivity changes and the European Union Emissions Trading System
    Nguyen, Minh-Anh Thi
    Yu, Ming-Miin
    Lirn, Taih-Cherng
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2022, 102
  • [30] A global Malmquist-Luenberger productivity index
    Oh, Dong-hyun
    [J]. JOURNAL OF PRODUCTIVITY ANALYSIS, 2010, 34 (03) : 183 - 197