City-level green growth accounting: Evidence from China's ' s thirteen urban agglomerations

被引:2
作者
Chen, Xiaodong [1 ]
Miao, Zhuang [2 ]
Wu, Ge [3 ]
Zhu, Pengyu [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Div Publ Policy, Hong Kong, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Econ, Chengdu 611130, Peoples R China
[3] Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu 611130, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy and environmental productivity; Thirteen urban agglomerations; Malmquist productivity index; Decomposition; LUENBERGER PRODUCTIVITY INDEX; RANGE-ADJUSTED MEASURE; POLLUTANT EMISSIONS; ENVIRONMENTAL PRODUCTIVITY; EFFICIENCY; DECOMPOSITION; POLICY; COST; SO2;
D O I
10.1016/j.rser.2024.114776
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cities play a pivotal role in achieving 'Carbon Peak' and 'Carbon Neutrality' objectives through the implementation of strategies aimed at mitigating environmental risks. While the environmental impacts of industrial production activities have been widely examined, the nuances of their internal structures remain obscure. This study delves into the industrial sector across the 'thirteen urban agglomerations (TUAs)' in mainland China, covering the years 2006-2016, by developing a comprehensive (source-specific and variable-specific) decomposition framework for Malmquist productivity index. The framework is utilized to discern whether efficiency changes or technological advancements drive productivity growth, considering input/output variables such as capital and labor. Findings show that the average annual environmental productivity gain during the examined period was 2.6 %, suggesting a general enhancement in productivity within TUAs' industrial sectors. A detailed breakdown of productivity changes indicates that a combined contribution of 1.8 % to environmental productivity growth stemmed from energy use and pollutant variables, with emissions of industrial sulfur dioxide being the most significant at 0.9 %. Conversely, the 'catch-up effect,' or environmental efficiency change, was negative (-0.2 %), indicating the TUAs' inability to emulate the productivity levels of more advanced areas. Industrial energy use and capital inputs were the primary contributors to this negative trend, each accounting for a -0.2 % impact. The results underscore the importance of facilitating technology transfers from more developed to less advanced regions, especially regarding renewable energy and capital investment, to bolster environmental performance and productivity in the TUAs' industrial sectors.
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页数:19
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共 71 条
  • [1] Evaluating water supply services in Japan with RAM: A range-adjusted measure of inefficiency
    Aida, K
    Cooper, WW
    Pastor, JT
    Sueyoshi, T
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 1998, 26 (02): : 207 - 232
  • [2] Ali AI, 1993, The measurement of productive efficiency, pChap 3, DOI [10.1093/acprof:oso/9780195183528.003.0002, DOI 10.1093/ACPROF:OSO/9780195183528.003.0002]
  • [3] Efficient water use and reusing processes across Spanish regions: A circular data envelopment analysis with undesirable inputs
    Andre, Francisco J.
    Buendia, Asensio
    Santos-Arteaga, Francisco Javier
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 434
  • [4] The measurement of environmental economic inefficiency with pollution-generating technologies
    Aparicio, Juan
    Kapelko, Magdalena
    Zofio, Jose L.
    [J]. RESOURCE AND ENERGY ECONOMICS, 2020, 62
  • [5] A generalized robust data envelopment analysis model based on directional distance function
    Arabmaldar, Aliasghar
    Sahoo, Biresh K.
    Ghiyasi, Mojtaba
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2023, 311 (02) : 617 - 632
  • [6] Simulating the impact of heterogeneity on stability and effectiveness of international environmental agreements
    Bakalova, Irina
    Eyckmans, Johan
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 277 (03) : 1151 - 1162
  • [7] Analysis of Environmental Total Factor Productivity Evolution in European Agricultural Sector
    Balezentis, Tomas
    Blancard, Stephane
    Shen, Zhiyang
    Streimikiene, Dalia
    [J]. DECISION SCIENCES, 2021, 52 (02) : 483 - 511
  • [8] SOME MODELS FOR ESTIMATING TECHNICAL AND SCALE INEFFICIENCIES IN DATA ENVELOPMENT ANALYSIS
    BANKER, RD
    CHARNES, A
    COOPER, WW
    [J]. MANAGEMENT SCIENCE, 1984, 30 (09) : 1078 - 1092
  • [9] Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index
    Camanho, Ana S.
    Varriale, Luisa
    Barbosa, Flavia
    Sobral, Thiago
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 289 (03) : 1188 - 1208
  • [10] Profit, directional distance functions, and Nerlovian efficiency
    Chambers, RG
    Chung, Y
    Fare, R
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1998, 98 (02) : 351 - 364