IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v12y2022i3p21582440221113849.html
   My bibliography  Save this article

Spatial Pattern Change and Influencing Factors of Industrial Eco-Efficiency of Yangtze River Economic Belt (YREB)

Author

Listed:
  • Yijun Liu
  • Ziyang Fang

Abstract

Industrialization in China has faced severe problems such as resource depletion and environmental degradation. The Yangtze River economic belt (YREB) strategy is one of the essential strategies for the sustainable development of the Chinese economy. Maximizing economic benefits while using the least resources and the least pollution to the environment is critical for China’s sustainable development strategy. This paper proposed the DEA to measure industrial eco-efficiency in the YREB from 2009 to 2018. It analyzed its temporal evolution and spatial differentiation and adopted a spatial econometric model to study how interference in influencing factors affects industrial eco-efficiency. The results revealed that (1) the eastern area of YREB has the highest industrial eco-efficiency compared with the other regions. (2) The industrial total factor productivity in the YREB has been rising over the years, and its change trend shows an inverted “W†pattern of first rising, then falling, then rising, then falling. (3) By further analysis, we observed a statistically significant spatial difference in the Industrial eco-efficiency among the areas in YREB, which suggests that the change scale presents the rule of “downstream bigger than Midstream region and midstream region bigger than “upstream region.†(4) The level of economic development, science and technology innovation, and human resources have significantly positive effects on industrial eco-efficiency, and the effect of economic development is of most significant importance. The industrial agglomeration demoted the efficiency of industrial ecology; Science and technology innovations, on the other hand, had a positive spillover effect, while the industrial concentration had a negative spillover effect.

Suggested Citation

  • Yijun Liu & Ziyang Fang, 2022. "Spatial Pattern Change and Influencing Factors of Industrial Eco-Efficiency of Yangtze River Economic Belt (YREB)," SAGE Open, , vol. 12(3), pages 21582440221, August.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:3:p:21582440221113849
    DOI: 10.1177/21582440221113849
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440221113849
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440221113849?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    3. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    4. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    5. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    6. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    7. Bhattarai, Madhusudan & Hammig, Michael, 2001. "Institutions and the Environmental Kuznets Curve for Deforestation: A Crosscountry Analysis for Latin America, Africa and Asia," World Development, Elsevier, vol. 29(6), pages 995-1010, June.
    8. Riina‐Riitta Helminen, 2000. "Developing tangible measures for eco‐efficiency: the case of the Finnish and Swedish pulp and paper industry," Business Strategy and the Environment, Wiley Blackwell, vol. 9(3), pages 196-210, May.
    9. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiangyuan Fu & Huidan Xue & Fayuan Wang & Liming Wang, 2023. "The Impact of High-Quality Energy Development and Technological Innovation on the Real Economy of the Yangtze River Economic Belt in China: A Spatial Economic and Threshold Effect Analysis," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    2. Li Yang & Yung‐ho Chiu & Tzu‐Han Chang, 2023. "The impact of quality of life on industrial and agricultural production and environmental efficiency in China's provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1054-1072, March.
    3. Dou Wenkang & Zhang Jie, 2024. "Spatial Pattern and Driving Mechanism of Urban Taxi Fares in China," SAGE Open, , vol. 14(2), pages 21582440241, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iftikhar Yasin & Nawaz Ahmad & M. Aslam Chaudhary, 2020. "Catechizing the Environmental-Impression of Urbanization, Financial Development, and Political Institutions: A Circumstance of Ecological Footprints in 110 Developed and Less-Developed Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 621-649, January.
    2. Managi, Shunsuke & Kaneko, Shinji, 2009. "Environmental performance and returns to pollution abatement in China," Ecological Economics, Elsevier, vol. 68(6), pages 1643-1651, April.
    3. Yi-Bin Chiu, 2012. "Deforestation and the Environmental Kuznets Curve in Developing Countries: A Panel Smooth Transition Regression Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 60(2), pages 177-194, June.
    4. Dong, Kangyin & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "Does natural gas consumption mitigate CO2 emissions: Testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 419-429.
    5. Olimpia Neagu, 2019. "The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    6. Shahbaz, Muhammad & Nasreen, Samia & Abbas, Faisal & Anis, Omri, 2015. "Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?," Energy Economics, Elsevier, vol. 51(C), pages 275-287.
    7. Munir, Qaiser & Lean, Hooi Hooi & Smyth, Russell, 2020. "CO2 emissions, energy consumption and economic growth in the ASEAN-5 countries: A cross-sectional dependence approach," Energy Economics, Elsevier, vol. 85(C).
    8. Armenia Androniceanu & Irina Georgescu, 2023. "The Impact of CO 2 Emissions and Energy Consumption on Economic Growth: A Panel Data Analysis," Energies, MDPI, vol. 16(3), pages 1-17, January.
    9. Prempeh Kwadwo Boateng & Frimpong Joseph Magnus & Yeboah Samuel Asuamah, 2024. "The dynamics of financial development, environmental degradation, economic growth and population health in the Economic Community of West African States," Environmental & Socio-economic Studies, Sciendo, vol. 12(2), pages 13-27.
    10. Atif Jahanger & Muhammad Usman & Daniel Balsalobre‐Lorente, 2022. "Linking institutional quality to environmental sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1749-1765, December.
    11. Dimitris Margaritis & Rolf Färe & Shawna Grosskopf, 2007. "Productivity, convergence and policy: a study of OECD countries and industries," Journal of Productivity Analysis, Springer, vol. 28(1), pages 87-105, October.
    12. Jobert, Thomas & Karanfil, Fatih & Tykhonenko, Anna, 2013. "On the structure and form of the GDP–nuclear nexus: New perspectives and new findings," Energy Policy, Elsevier, vol. 62(C), pages 1553-1561.
    13. Yue Dou & Muhammad Shahbaz & Kangyin Dong & Xiucheng Dong, 2022. "How natural disasters affect carbon emissions: the global case," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1875-1901, September.
    14. Jian Xue & Zeeshan Rasool & Raima Nazar & Ahmad Imran Khan & Shaukat Hussain Bhatti & Sajid Ali, 2021. "Revisiting Natural Resources—Globalization-Environmental Quality Nexus: Fresh Insights from South Asian Countries," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    15. Brajer, Victor & Mead, Robert W. & Xiao, Feng, 2008. "Health benefits of tunneling through the Chinese environmental Kuznets curve (EKC)," Ecological Economics, Elsevier, vol. 66(4), pages 674-686, July.
    16. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    17. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    18. Giovanni Bella & Carla Massidda & Ivan Etzo, 2013. "A Panel Estimation of the Relationship between Income, Electric Power Consumption and CO2 Emissions," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(2), pages 149-166.
    19. Shafiei, Sahar & Salim, Ruhul A., 2014. "Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis," Energy Policy, Elsevier, vol. 66(C), pages 547-556.
    20. Laura Policardo, 2016. "Is Democracy Good for the Environment? Quasi-Experimental Evidence from Regime Transitions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(2), pages 275-300, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:12:y:2022:i:3:p:21582440221113849. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.