IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i12p4361-d373071.html
   My bibliography  Save this article

“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?

Author

Listed:
  • Peirong Chen

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
    College of Economics and Management, Hengyang Normal University, Hengyang 421008, China)

  • Ruhe Xie

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Mingxuan Lu

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
    School of Safety and Environment Engineering, Hunan Institute of Technology, Hengyang 421008, China)

Abstract

Urban clusters are important carriers for cities to participate in international competition and cooperation, and a booster for urban sustainable development. This study measured the degree of urban clusters by utilizing the panel data of 278 cities in China during 2004–2016. Then, an extended meta-frontier data envelopment analysis (EM-DEA) model was applied to estimate the total-factor ecological performance (UTEP) and decompose it into two sub-index from the perspective of “resource conservation” and “environmental friendliness”. On these bases, we employed a dynamic panel data approach to examine and demonstrate the relationship between urban cluster and UTEP in two dimensions, and further explored transmission channels of urban clusters on UTEP by adding the mediating effect. The results show that resource conservation increases first and then decreases with the increasing of urban clustering level, while environmental friendliness showed the opposite trend, making the latter become the main way for urban clusters to improve the UTEP. Industrial structure supererogation and rationalization are transmission channels for environmental friendliness rather than resource conservation in the way of improvement of UTEP. Technology innovation, as well as technology diffusion, also improves UTEP to some extent. In addition, urban clusters in eastern and central China have the greatest improvement in UTEP, while such effects are not the case in western China. Urban clusters in the second half sample period are more conducive to the improvement of the UTEP, with these potentially being the gains from the improvement of the level and quality of urban clusters.

Suggested Citation

  • Peirong Chen & Ruhe Xie & Mingxuan Lu, 2020. "“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?," IJERPH, MDPI, vol. 17(12), pages 1-28, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4361-:d:373071
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/12/4361/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/12/4361/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. Jalil, Abdul & Feridun, Mete, 2011. "The impact of growth, energy and financial development on the environment in China: A cointegration analysis," Energy Economics, Elsevier, vol. 33(2), pages 284-291, March.
    3. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    4. Verhoef, Erik T. & Nijkamp, Peter, 2002. "Externalities in urban sustainability: Environmental versus localization-type agglomeration externalities in a general spatial equilibrium model of a single-sector monocentric industrial city," Ecological Economics, Elsevier, vol. 40(2), pages 157-179, February.
    5. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    6. Junwei Ma & Jianhua Wang & Philip Szmedra, 2019. "Economic Efficiency and Its Influencing Factors on Urban Agglomeration—An Analysis Based on China’s Top 10 Urban Agglomerations," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    7. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    8. Boris A. Portnov & Moshe Schwartz, 2009. "Urban Clusters As Growth Foci," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 287-310, May.
    9. Peixin Li & Chen Wang & Xueliang Zhang, 2017. "Did city cluster development help improve labor productivity in China?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 22(1), pages 122-135, January.
    10. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    11. Rafael Boix & Joan Trullén, 2007. "Knowledge, networks of cities and growth in regional urban systems," Papers in Regional Science, Wiley Blackwell, vol. 86(4), pages 551-574, November.
    12. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    13. Marcel Timmer & Bart Los, 2005. "Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach," Journal of Productivity Analysis, Springer, vol. 23(1), pages 47-64, January.
    14. 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.
    15. Steven Brakman & Charles van Marrewijk, 2013. "Reflections on cluster policies," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 6(2), pages 217-231.
    16. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    17. Feng Tao & Huiqin Zhang & Yi Hu & Andrew A. Duncan, 2017. "Growth of Green Total Factor Productivity and Its Determinants of Cities in China: A Spatial Econometric Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(9), pages 2123-2140, September.
    18. Jing Han & Ming Gao & Yawen Sun, 2019. "Research on the Measurement and Path of Urban Agglomeration Growth Effect," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    19. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    20. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    21. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
    22. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    23. Wursthorn, Sibylle & Poganietz, Witold-Roger & Schebek, Liselotte, 2011. "Economic-environmental monitoring indicators for European countries: A disaggregated sector-based approach for monitoring eco-efficiency," Ecological Economics, Elsevier, vol. 70(3), pages 487-496, January.
    24. Gerben Panne, 2004. "Agglomeration externalities: Marshall versus Jacobs," Journal of Evolutionary Economics, Springer, vol. 14(5), pages 593-604, December.
    25. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    26. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    27. John C Goodman, 2011. "Edward Glaeser, Triumph of the City: How Our Greatest Invention Makes Us Richer, Smarter, Greener, Healthier, and Happier," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 46(3), pages 185-186, September.
    28. 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.
    29. Speldekamp, Daniël & Knoben, Joris & Saka-Helmhout, Ayse, 2020. "Clusters and firm-level innovation: A configurational analysis of agglomeration, network and institutional advantages in European aerospace," Research Policy, Elsevier, vol. 49(3).
    30. Cole, Matthew A., 2004. "Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages," Ecological Economics, Elsevier, vol. 48(1), pages 71-81, January.
    31. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    32. Roberto Antonietti & Giulio Cainelli, 2011. "The role of spatial agglomeration in a structural model of innovation, productivity and export: a firm-level analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 577-600, June.
    33. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    34. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.
    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. Wenfang Fu & Chuanjian Luo & Modan Yan, 2023. "Does Urban Agglomeration Promote the Development of Cities? Evidence from the Urban Network Externalities," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

    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. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    2. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    3. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    4. MBASSI, Christophe Martial & HYOBA, Suzanne Edwige Clarisse & SHAHBAZ, Muhammad, 2023. "Does monetary policy really matter for environmental protection? The case of inflation targeting," Research in Economics, Elsevier, vol. 77(3), pages 427-452.
    5. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    6. Acheampong, Alex O., 2019. "Modelling for insight: Does financial development improve environmental quality?," Energy Economics, Elsevier, vol. 83(C), pages 156-179.
    7. Meiling Wang & Silu Pang & Ikram Hmani & Ilham Hmani & Cunfang Li & Zhengxia He, 2021. "Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 217-227, January.
    8. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    9. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    10. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    11. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    12. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    13. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    14. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    15. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    16. Du, Limin & Hanley, Aoife & Zhang, Ning, 2016. "Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis," Resource and Energy Economics, Elsevier, vol. 43(C), pages 14-32.
    17. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," 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. 89(2), pages 585-607, November.
    18. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    19. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    20. Zheng Fang & Bihong Huang & Zhuoxiang Yang, 2020. "Trade openness and the environmental Kuznets curve: Evidence from Chinese cities," The World Economy, Wiley Blackwell, vol. 43(10), pages 2622-2649, October.

    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:gam:jijerp:v:17:y:2020:i:12:p:4361-:d:373071. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.