IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i12p4883-d371922.html
   My bibliography  Save this article

Dynamic Convergence of Green Total Factor Productivity in Chinese Cities

Author

Listed:
  • Yuanxin Peng

    (College of Tourism, Resources and Environment, Zaozhuang University, Zaozhuang 277160, China
    Department of Geography, Kent State University, Kent, OH 44240, USA)

  • Zhuo Chen

    (Department of Geography, Kent State University, Kent, OH 44240, USA)

  • Jay Lee

    (Department of Geography, Kent State University, Kent, OH 44240, USA)

Abstract

China’s energy consumption in urban areas accounts for a large proportion of total energy consumption, and many pollutants are emitted with the energy consumption. Considering the requirement for green development of economy, it is necessary to study the green total factor productivity (GTFP) in cities. In this study, the Malmquist index, spatial autocorrelation analysis and convergence analysis are used to analyze the GTFP for 263 prefectural or higher-level cities in China. The results show a growing trend of values measured by the GTFP in Chinese cities, indicating an increase in efficiency. In addition. the eastern region has the highest efficiency, followed by the central region while the lowest being the western region. The calculated values of GTFP show a relatively strong overall spatial clustering with some local high-high clusters of high index values. GTFP also shows relatively weak divergence and no sign of convergence. Thus, we propose that, to improve GTFP and narrow the gap between regions, it would be necessary to enhance technological progress and restructuring industrial productivity in cities.

Suggested Citation

  • Yuanxin Peng & Zhuo Chen & Jay Lee, 2020. "Dynamic Convergence of Green Total Factor Productivity in Chinese Cities," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4883-:d:371922
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/12/4883/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/12/4883/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    2. Carree, M. A. & Klomp, L. & Thurik, A. R., 2000. "Productivity convergence in OECD manufacturing industries," Economics Letters, Elsevier, vol. 66(3), pages 337-345, March.
    3. Daniel P. McMillen, 2004. "Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 225-244, May.
    4. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    5. Goksel Armagan & Altug Ozden & Selim Bekcioglu, 2010. "Efficiency and total factor productivity of crop production at NUTS1 level in Turkey: Malmquist index approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(3), pages 573-581, April.
    6. 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.
    7. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    8. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    9. Parker, Steven & Liddle, Brantley, 2017. "Economy-wide and manufacturing energy productivity transition paths and club convergence for OECD and non-OECD countries," Energy Economics, Elsevier, vol. 62(C), pages 338-346.
    10. 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).
    11. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    12. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
    13. Levent Kutlu & Usha Nair-Reichert, 2019. "Agglomeration effects and spatial spillovers in efficiency analysis: a distribution-free methodology," Regional Studies, Taylor & Francis Journals, vol. 53(11), pages 1565-1574, November.
    14. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    15. Bhattacharya, Mita & Inekwe, John Nkwoma & Sadorsky, Perry & Saha, Anjan, 2018. "Convergence of energy productivity across Indian states and territories," Energy Economics, Elsevier, vol. 74(C), pages 427-440.
    16. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    17. Herrerias, M.J. & Liu, G., 2013. "Electricity intensity across Chinese provinces: New evidence on convergence and threshold effects," Energy Economics, Elsevier, vol. 36(C), pages 268-276.
    18. Zhang Jiansheng & Tan Wei, 2016. "Study on the green total factor productivity in main cities of China," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(1), pages 215-234.
    19. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    20. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    21. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    22. Pengsheng Li & Yanying Chen, 2019. "The Influence of Enterprises’ Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation—Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    23. Simonetta Longhi & Peter Nijkamp, 2007. "Forecasting Regional Labor Market Developments under Spatial Autocorrelation," International Regional Science Review, , vol. 30(2), pages 100-119, April.
    24. Zhu, Xuehong & Chen, Ying & Feng, Chao, 2018. "Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis," Resources Policy, Elsevier, vol. 57(C), pages 1-9.
    25. Ma, Le & Hosseini, M. Reza & Jiang, Weiling & Martek, Igor & Mills, Anthony, 2018. "Energy productivity convergence within the Australian construction industry: A panel data study," Energy Economics, Elsevier, vol. 72(C), pages 313-320.
    26. Miller, Stephen M. & Upadhyay, Mukti P., 2002. "Total factor productivity and the convergence hypothesis," Journal of Macroeconomics, Elsevier, vol. 24(2), pages 267-286, June.
    27. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
    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. Shengyun Wang & Yaxin Zhang & Huwei Wen, 2021. "Comprehensive Measurement and Regional Imbalance of China’s Green Development Performance," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    2. Haisheng Chen & Shuiping Zhu & Jianjun Sun & Kaiyang Zhong & Manhong Shen & Xiaoli Wang, 2022. "A Study of the Spatial Structure and Regional Interaction of Agricultural Green Total Factor Productivity in China Based on SNA and VAR Methods," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    3. Hepei Li & Chen Chen & Muhammad Umair, 2023. "Green Finance, Enterprise Energy Efficiency, and Green Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    4. Wentao Lu & Guixiang Zhang, 2023. "Green development efficiency of urban agglomerations in a developing country: evidence from Beijing-Tianjin-Hebei in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6939-6962, July.
    5. Yingjuan Li & Qiong Lin & Jianyu Zhang & Liuhua Fang & Yi Li & Lianjun Zhang & Chuanhao Wen, 2023. "Convergence Analysis of the Overall Benefits of Returning Farmland into Forest in the Upper Yangtze River Basin, China," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    6. Fan Yang & Yongrok Choi & Hyoungsuk Lee, 2021. "Convergence or Divergence? Emission Performance in the Regional Comprehensive Economic Partnership Countries," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    7. Haisheng Chen & Dingqing Ni & Shuiping Zhu & Ying Ying & Manhong Shen, 2022. "Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    8. Zhou, Di & Yin, Xiaoshuo & Xie, Dongchun, 2023. "Local governments’ environmental targets and green total factor productivity in Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    9. Youqiang Ding & Yufeng Hu, 2021. "Inflection Point of Green Total Factor Productivity by Low-Carbon Regulation from Chinese Economics Recovery," Sustainability, MDPI, vol. 13(22), pages 1-15, November.

    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. Huaping Zhang & Yue Dong, 2022. "Measurement and Spatial Correlations of Green Total Factor Productivities of Chinese Provinces," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    2. Xi Zhang & Rui Li & Jinglei Zhang, 2022. "Understanding the Green Total Factor Productivity of Manufacturing Industry in China: Analysis Based on the Super-SBM Model with Undesirable Outputs," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    3. 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.
    4. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    5. 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).
    6. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    7. Gao, Kang & Yuan, Yijun, 2022. "Spatiotemporal pattern assessment of China’s industrial green productivity and its spatial drivers: Evidence from city-level data over 2000–2017," Applied Energy, Elsevier, vol. 307(C).
    8. Qingshan Ma & Yuanmeng Zhang & Kexin Yang & Lingyun He, 2021. "Have China’s Pilot Free Trade Zones Improved Green Total Factor Productivity?," IJERPH, MDPI, vol. 18(21), pages 1-20, November.
    9. Xi Qin & Xiaoling Wang & Yusen Xu & Yawen Wei, 2019. "Exploring Driving Forces of Green Growth: Empirical Analysis on China’s Iron and Steel Industry," Sustainability, MDPI, vol. 11(4), pages 1-11, February.
    10. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    11. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    12. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Convergence of energy productivity in Australian states and territories: Determinants and forecasts," Energy Economics, Elsevier, vol. 85(C).
    13. Gao, Yuning & Zhang, Meichen & Zheng, Jinghai, 2021. "Accounting and determinants analysis of China's provincial total factor productivity considering carbon emissions," China Economic Review, Elsevier, vol. 65(C).
    14. Shen, Zhiyang & Wu, Haitao & Bai, Kaixuan & Hao, Yu, 2022. "Integrating economic, environmental and societal performance within the productivity measurement," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    16. Rui Jiang & Chunxue Liu & Xiaowei Liu & Shuai Zhang, 2022. "Space–Time Effect of Green Total Factor Productivity in Mineral Resources Industry in China: Based on Space–Time Semivariogram and SPVAR Model," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    17. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    18. Shuying Wang & Yifei Gao & Hongchang Zhou, 2022. "Research on Green Total Factor Productivity Enhancement Path from the Configurational Perspective—Based on the TOE Theoretical Framework," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    19. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    20. Ma Hewen & Geng Baoxia & Fu Yingxiong & Sun Yi & Sun Zhao, 2021. "Efficiency Analysis of Industrial Water Treatment in China Based on Two-stage Undesirable Fixed-sum Output DEA Model," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 660-680, December.

    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:jsusta:v:12:y:2020:i:12:p:4883-:d:371922. 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.