IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v114y2022ics0140988322004364.html
   My bibliography  Save this article

Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities

Author

Listed:
  • Shang, Hua
  • Jiang, Li
  • Pan, Xianyou
  • Pan, Xiongfeng

Abstract

Urban eco-efficiency, as an indicator to evaluate urban sustainability, has attracted increased attention, and green technology innovation has been proved to be an effective method to promote eco-efficiency. However, due to regional inequality, the level of eco-efficiency and green technology innovation vary in different cities, which is not conducive to overall development and should be dealt with. Thus, this study explores the influencing mechanism of green technology innovation spillover effect on urban eco-efficiency convergence with mathematical analysis, proposes an SBM model with undesirable outputs to evaluate Chinese cities' eco-efficiency from 2004 to 2018, judges cities' spatial correlation based on Moran's I index, and applies spatial Durbin model to investigate green technology innovation's direct and spillover effects on urban eco-efficiency convergence with time and regional differences. The results show that although there are large spatial differences in Chinese urban eco-efficiency, the overall urban eco-efficiency has improved gradually, and green technology innovation spillover effect can promote urban eco-efficiency convergence, but the degrees differ in time and region. The results of this study can be useful for solving the problem of unequal regional and urban eco-efficiency development by managing the distribution and transfer of green technology innovation in cities.

Suggested Citation

  • Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    • Handle: RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004364
    DOI: 10.1016/j.eneco.2022.106307
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988322004364
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2022.106307?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brookes, Len, 1990. "The greenhouse effect: the fallacies in the energy efficiency solution," Energy Policy, Elsevier, vol. 18(2), pages 199-201, March.
    2. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Liu, Yunqiang & Zhu, Jialing & Li, Eldon Y. & Meng, Zhiyi & Song, Yan, 2020. "Environmental regulation, green technological innovation, and eco-efficiency: The case of Yangtze river economic belt in China," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    4. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    5. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    6. Zhou, Xiaoxiao & Cai, Ziming & Tan, Kim Hua & Zhang, Linling & Du, Juntao & Song, Malin, 2021. "Technological innovation and structural change for economic development in China as an emerging market," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    7. Peter C. B. Phillips & Donggyu Sul, 2009. "Economic transition and growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1153-1185.
    8. Huang, Shihping Kevin & Kuo, Lopin & Chou, Kuei-Lan, 2018. "The impacts of government policies on green utilization diffusion and social benefits – A case study of electric motorcycles in Taiwan," Energy Policy, Elsevier, vol. 119(C), pages 473-486.
    9. Popp, David, 2006. "International innovation and diffusion of air pollution control technologies: the effects of NOX and SO2 regulation in the US, Japan, and Germany," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 46-71, January.
    10. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    11. Kounetas, Konstantinos E. & Polemis, Michael L. & Tzeremes, Nickolaos G., 2021. "Measurement of eco-efficiency and convergence: Evidence from a non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 291(1), pages 365-378.
    12. Chang, Yen-Chiang & Wang, Nannan, 2010. "Environmental regulations and emissions trading in China," Energy Policy, Elsevier, vol. 38(7), pages 3356-3364, July.
    13. 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.
    14. Ghisetti, Claudia & Quatraro, Francesco, 2017. "Green Technologies and Environmental Productivity: A Cross-sectoral Analysis of Direct and Indirect Effects in Italian Regions," Ecological Economics, Elsevier, vol. 132(C), pages 1-13.
    15. Humaira Yasmeen & Qingmei Tan & Hashim Zameer & Junlan Tan & Kishwar Nawaz, 2020. "Exploring the impact of technological innovation, environmental regulations and urbanization on ecological efficiency of China in the context of COP21," Post-Print hal-03558085, HAL.
    16. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    17. Mariam Camarero & Juana Castillo & Andrés Picazo-Tadeo & Cecilio Tamarit, 2013. "Eco-Efficiency and Convergence in OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 87-106, May.
    18. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    19. Shahbaz, Muhammad & Nasir, Muhammad Ali & Roubaud, David, 2018. "Environmental degradation in France: The effects of FDI, financial development, and energy innovations," Energy Economics, Elsevier, vol. 74(C), pages 843-857.
    20. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    21. Chang, Yuan & Huang, Runze & Ries, Robert J. & Masanet, Eric, 2014. "Shale-to-well energy use and air pollutant emissions of shale gas production in China," Applied Energy, Elsevier, vol. 125(C), pages 147-157.
    22. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    23. Mariam Camarero & Juana Castillo-Giménez & Andrés Picazo-Tadeo & Cecilio Tamarit, 2014. "Is eco-efficiency in greenhouse gas emissions converging among European Union countries?," Empirical Economics, Springer, vol. 47(1), pages 143-168, August.
    24. Luc Anselin & Raymond J. G. M. Florax, 1995. "New Directions in Spatial Econometrics: Introduction," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 1, pages 3-18, Springer.
    25. Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2021. "Quantile eco-efficiency estimation and convergence: A nonparametric frontier approach," Economics Letters, Elsevier, vol. 202(C).
    26. Magat, Wesley A., 1978. "Pollution control and technological advance: A dynamic model of the firm," Journal of Environmental Economics and Management, Elsevier, vol. 5(1), pages 1-25, March.
    27. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
    28. Ayres, Robert, 1996. "Technology, progress and economic growth," European Management Journal, Elsevier, vol. 14(6), pages 562-575, December.
    29. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    30. Tao, Feng & Zhang, Huiqin & Hu, Jun & Xia, X.H., 2017. "Dynamics of green productivity growth for major Chinese urban agglomerations," Applied Energy, Elsevier, vol. 196(C), pages 170-179.
    31. Jin, Yi & Gao, Xiaoyan & Wang, Min, 2021. "The financing efficiency of listed energy conservation and environmental protection firms: Evidence and implications for green finance in China," Energy Policy, Elsevier, vol. 153(C).
    32. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    33. Brannlund, Runar & Ghalwash, Tarek & Nordstrom, Jonas, 2007. "Increased energy efficiency and the rebound effect: Effects on consumption and emissions," Energy Economics, Elsevier, vol. 29(1), pages 1-17, January.
    34. Jintao Ma & Qiuguang Hu & Weiteng Shen & Xinyi Wei, 2021. "Does the Low-Carbon City Pilot Policy Promote Green Technology Innovation? Based on Green Patent Data of Chinese A-Share Listed Companies," IJERPH, MDPI, vol. 18(7), pages 1-18, April.
    35. Defeng Zheng & Shuai Hao & Caizhi Sun & Leting Lyu, 2019. "Spatial Correlation and Convergence Analysis of Eco-Efficiency in China," Sustainability, MDPI, vol. 11(9), pages 1-16, April.
    36. Ali, Syed Ahtsham & Alharthi, Majed & Hussain, Hafezali Iqbal & Rasul, Farhat & Hanif, Imran & Haider, Jahanzaib & Ullah, Saad & ur Rahman, Saeed & Abbas, Qaiser, 2021. "A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    37. Qingfang Liu & Jinping Song & Teqi Dai & Jianhui Xu & Jianmei Li & Enru Wang, 2022. "Spatial Network Structure of China’s Provincial-Scale Tourism Eco-Efficiency: A Social Network Analysis," Energies, MDPI, vol. 15(4), pages 1-16, February.
    38. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    39. Gene M. Grossman & Elhanan Helpman, 1993. "Innovation and Growth in the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262570971, December.
    40. Tao, Xueping & Wang, Ping & Zhu, Bangzhu, 2016. "Provincial green economic efficiency of China: A non-separable input–output SBM approach," Applied Energy, Elsevier, vol. 171(C), pages 58-66.
    41. Siying Yang & Wei Liu & Zhe Zhang, 2022. "The Dynamic Value of China’s High-Tech Zones: Direct and Indirect Influence on Urban Ecological Innovation," Land, MDPI, vol. 11(1), pages 1-19, January.
    42. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    43. Aleix Bassolas & Hugo Barbosa-Filho & Brian Dickinson & Xerxes Dotiwalla & Paul Eastham & Riccardo Gallotti & Gourab Ghoshal & Bryant Gipson & Surendra A. Hazarie & Henry Kautz & Onur Kucuktunc & Alli, 2019. "Hierarchical organization of urban mobility and its connection with city livability," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    44. Yantuan Yu & Hui Hu & Yun Zhang & Zhujia Yin, 2019. "Metafrontier Eco-Efficiency and Its Convergence Analysis for China: A Multidimensional Heterogeneity Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(7), pages 1531-1549, May.
    45. Popp, David & Hascic, Ivan & Medhi, Neelakshi, 2011. "Technology and the diffusion of renewable energy," Energy Economics, Elsevier, vol. 33(4), pages 648-662, July.
    46. Costantini, Valeria & Mazzanti, Massimiliano & Montini, Anna, 2013. "Environmental performance, innovation and spillovers. Evidence from a regional NAMEA," Ecological Economics, Elsevier, vol. 89(C), pages 101-114.
    47. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    48. Haisen Wang & Gangqiang Yang & Jiaying Qin, 2020. "City Centrality, Migrants and Green Inovation Efficiency: Evidence from 106 Cities in the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    49. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
    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. Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    2. Lina Volodzkiene & Dalia Streimikiene, 2023. "Energy Inequality Indicators: A Comprehensive Review for Exploring Ways to Reduce Inequality," Energies, MDPI, vol. 16(16), pages 1-28, August.
    3. Yu Liu & Huiping Ding & Biao Sun, 2022. "Does Green Credit Policy Promote or Inhibit Firms’ Green Innovation in China? Moderating Effect of Environmental Information Disclosure," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    4. Rendao Ye & Yue Qi & Wenyan Zhu, 2023. "Impact of Agricultural Industrial Agglomeration on Agricultural Environmental Efficiency in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    5. Shengzhe Ruan & Yi Song & Jinhua Cheng & Cheng Zhan, 2023. "Green Eco-Innovation and Supply of Critical Metals: Evidence from China," Sustainability, MDPI, vol. 15(17), pages 1-24, August.

    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. 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.
    2. Xinghua Wang & Shunchen Wu & Xiaojuan Qin & Meixiang La & Haixia Zuo, 2022. "Informal Environment Regulation, Green Technology Innovation and Air Pollution: Quasi-Natural Experiments from Prefectural Cities in China," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    3. Quatraro, Francesco & Scandura, Alessandra, 2019. "Academic Inventors and the Antecedents of Green Technologies. A Regional Analysis of Italian Patent Data," Ecological Economics, Elsevier, vol. 156(C), pages 247-263.
    4. Cialani, Catia & Mortazavi, Reza, 2021. "Sectoral analysis of club convergence in EU countries’ CO2 emissions," Energy, Elsevier, vol. 235(C).
    5. Jing Xu & Dong Chen & Rongrong Liu & Maoxian Zhou & Yunxiao Kong, 2021. "Environmental Regulation, Technological Innovation, and Industrial Transformation: An Empirical Study Based on City Function in China," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    6. Chen, Zhongfei & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Convergence in the Chinese airline industry: A Malmquist productivity analysis," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 77-86.
    7. Sayel Basel & R. Prabhakara Rao & K. U. Gopakumar, 2021. "Analysis of club convergence for economies: identification and testing using development indices," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 885-908, October.
    8. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Examining eco-efficiency convergence of European Industries.The existence of technological spillovers within a metafrontier framework," MPRA Paper 94286, University Library of Munich, Germany.
    9. Xie, Ronghui & Teo, Thompson S.H., 2022. "Green technology innovation, environmental externality, and the cleaner upgrading of industrial structure in China — Considering the moderating effect of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    10. Cui, Wenyue & Tang, Jie, 2023. "Innovation convergence clubs and their driving factors within urban agglomeration," Economic Modelling, Elsevier, vol. 121(C).
    11. Konstantinos Eleftheriou & Peter Nijkamp & Michael L. Polemis, 2024. "Club convergence of sustainable development: fresh evidence from developing and developed countries," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-18, April.
    12. Michael L. Polemis & Panagiotis Fotis & Panayiotis G. Tzeremes & Nickolaos G. Tzeremes, 2022. "On the examination of the decoupling effect of air pollutants from economic growth: a convergence analysis for the US," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 691-707, December.
    13. Shichun Xu & Yiwen Li & Yuan Tao & Yan Wang & Yunfan Li, 2020. "Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    14. Kounetas, Konstantinos E. & Polemis, Michael L. & Tzeremes, Nickolaos G., 2021. "Measurement of eco-efficiency and convergence: Evidence from a non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 291(1), pages 365-378.
    15. Liangen Zeng, 2021. "China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    16. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    17. Bai, Caiquan & Feng, Chen & Du, Kerui & Wang, Yuansheng & Gong, Yuan, 2020. "Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis," Energy Policy, Elsevier, vol. 143(C).
    18. Cieślik, Andrzej & Wciślik, Dominika Róża, 2020. "Convergence among the CEE-8 economies and their catch-up towards the EU-15," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 39-48.
    19. Jingbin Wang & Huiling Qiao & Jing Liu & Bo Li, 2022. "Does the Establishment of National New Areas Improve Urban Ecological Efficiency? Empirical Evidence Based on Staggered DID Model," IJERPH, MDPI, vol. 19(20), pages 1-21, October.
    20. Mihály Borsi & Norbert Metiu, 2015. "The evolution of economic convergence in the European Union," Empirical Economics, Springer, vol. 48(2), pages 657-681, March.

    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:eee:eneeco:v:114:y:2022:i:c:s0140988322004364. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.