IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i6p3718-d776031.html
   My bibliography  Save this article

Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt

Author

Listed:
  • Jinhua Sun

    (School of Law and Business, Sanjiang University, Nanjing 210012, China)

  • Decai Tang

    (School of Law and Business, Sanjiang University, Nanjing 210012, China
    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Haojia Kong

    (School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210000, China)

  • Valentina Boamah

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

The Yangtze River economic belt is an inland river economic belt with international influence composed of 11 provinces and municipalities in the Yangtze River Basin. This paper uses the super-efficiency model to calculate the green total factor productivity of 11 provinces and municipalities in the Yangtze River economic belt (YREB). Then we establish a model to study the impact of industrial structure upgrading, industrial structure rationalization, and environmental regulation on green total factor productivity (GTFP). Empirical analysis shows that the industrial structure upgrading and environmental regulation have a significant impact on GTFP and show regional characteristics. The more developed the economy and the higher the industrial structure, the greater the impact of upgrading and environmental regulation on GTFP. Compared with other control variables, the urbanization rate impacts GTFP, followed by regional economic development.

Suggested Citation

  • Jinhua Sun & Decai Tang & Haojia Kong & Valentina Boamah, 2022. "Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3718-:d:776031
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/6/3718/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/6/3718/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Decai Tang & Yan Zhang & Brandon J Bethel, 2020. "A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 17(2), pages 1-16, January.
    2. Alessandro Roncaglia, 2013. "William Petty and the Ambitions of Political Arithmetick," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 20(3), pages 532-536, June.
    3. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    4. Francisco J. Buera & Joseph P. Kaboski, 2009. "Can Traditional Theories of Structural Change Fit The Data?," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 469-477, 04-05.
    5. Victor John M. Cantor & Kim Leng Poh, 2020. "Efficiency measurement for general network systems: a slacks-based measure model," Journal of Productivity Analysis, Springer, vol. 54(1), pages 43-57, August.
    6. Levent Kutlu & Ran Wang, 2021. "Greenhouse Gas Emission Inefficiency Spillover Effects in European Countries," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
    7. Tone, Kaoru & Toloo, Mehdi & Izadikhah, Mohammad, 2020. "A modified slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 287(2), pages 560-571.
    8. Combes, Pierre-Philippe, 2000. "Economic Structure and Local Growth: France, 1984-1993," Journal of Urban Economics, Elsevier, vol. 47(3), pages 329-355, May.
    9. Florian Noseleit, 2013. "Entrepreneurship, structural change, and economic growth," Journal of Evolutionary Economics, Springer, vol. 23(4), pages 735-766, September.
    10. Tifang Ye & Hao Zheng & Xiangyu Ge & Keling Yang, 2021. "Pathway of Green Development of Yangtze River Economics Belt from the Perspective of Green Technological Innovation and Environmental Regulation," IJERPH, MDPI, vol. 18(19), pages 1-26, October.
    11. Kyoji Fukao & Saumik Paul, 2021. "Baumol, Engel, and beyond: accounting for a century of structural transformation in Japan, 1885–1985," Economic History Review, Economic History Society, vol. 74(1), pages 164-180, February.
    12. Yao Xiao & Dandan Ma & Yutai Cheng & Li Wang, 2020. "Effect of Labor Cost and Industrial Structure on the Development Mode Transformation of China’s Industrial Economy," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(8), pages 1677-1690, June.
    13. Yuhuan Sun & Juntao Du & Shuhong Wang, 2020. "Environmental regulations, enterprise productivity, and green technological progress: large-scale data analysis in China," Annals of Operations Research, Springer, vol. 290(1), pages 369-384, July.
    14. Nancy Kong & Jose Tongzon, 2006. "Estimating total factor productivity growth in Singapore at sectoral level using data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2299-2314.
    15. Decai Tang & Luxia Wang & Brandon J. Bethel, 2021. "An Evaluation of the Yangtze River Economic Belt Manufacturing Industry Level of Intelligentization and Influencing Factors: Evidence from China," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    16. Xiaoying Ma, 2021. "The Chinese Economy," Springer Books, in: The Economic Impact of Government Policy on China’s Private Higher Education Sector, chapter 0, pages 31-57, Springer.
    17. Junxia He & Luxia Wang & Decai Tang, 2021. "Research on Green Total Factor Productivity of Yangtze River Economic Belt Based on Environmental Regulation," IJERPH, MDPI, vol. 18(22), pages 1-17, November.
    18. 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.
    19. Timo Kuosmanen & Timo Sipiläinen, 2009. "Exact decomposition of the Fisher ideal total factor productivity index," Journal of Productivity Analysis, Springer, vol. 31(3), pages 137-150, June.
    20. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    21. Wei Hu & Zhenxing Xiong, 2021. "Do stringent environmental regulations help improve the total factor carbon productivity? Empirical evidence from China’s industrial sectors," Applied Economics, Taylor & Francis Journals, vol. 53(55), pages 6398-6411, 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. Decai Tang & Zhangming Shan & Junxia He & Ziqian Zhao, 2022. "How Do Environmental Regulations and Outward Foreign Direct Investment Impact the Green Total Factor Productivity in China? A Mediating Effect Test Based on Provincial Panel Data," IJERPH, MDPI, vol. 19(23), pages 1-32, November.
    2. Mingliang Zhao & Yue Gao & Qing Liu & Wei Sun, 2022. "The Impact of Foreign Direct Investment on Urban Green Total Factor Productivity and the Mechanism Test," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    3. Ning Zhang & Jinhua Sun & Yu Tang & Jianqun Zhang & Valentina Boamah & Decai Tang & Xiaoxue Zhang, 2023. "How Do Green Finance and Green Technology Innovation Impact the Yangtze River Economic Belt’s Industrial Structure Upgrading in China? A Moderated Mediation Effect Model Based on Provincial Panel Data," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    4. Xiaoxue Liu & Fuzhen Cao & Shuangshuang Fan, 2022. "Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    5. Rui Zhang & Yong Ma & Jie Ren, 2022. "Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    6. Zhenglin Sun & Jinyue Zhang, 2022. "Impact of Resource-Saving and Environment-Friendly Society Construction on Sustainability," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    7. Yiwei Wang & Ningze Yang, 2023. "Differences in High-Quality Development and Its Influencing Factors between Yellow River Basin and Yangtze River Economic Belt," Land, MDPI, vol. 12(7), pages 1-19, July.
    8. Kai Chen & Feng Guo & Shuang Xu, 2022. "The Impact of Digital Economy Agglomeration on Regional Green Total Factor Productivity Disparity: Evidence from 285 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    9. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    10. Yan Xiao & Yan Zhang & Jiekuan Zhang, 2023. "The Impact of Carbon Emission Trading on Industrial Green Total Factor Productivity," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    11. Jianshi Wang & Yu Cheng & Chengxin Wang, 2022. "Environmental Regulation, Scientific and Technological Innovation, and Industrial Structure Upgrading in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    12. Haibo Chen & Jiawei Lu, 2023. "Does Cultural Agglomeration Affect Green Total Factor Productivity? Evidence from 279 Cities in China," Sustainability, MDPI, vol. 15(9), pages 1-23, 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. Michael Fritsch & Sandra Kublina, 2018. "Related variety, unrelated variety and regional growth: the role of absorptive capacity and entrepreneurship," Regional Studies, Taylor & Francis Journals, vol. 52(10), pages 1360-1371, October.
    2. Chenyang Liu & Lihang Cui & Cuixia Li, 2022. "Impact of Environmental Regulation on the Green Total Factor Productivity of Dairy Farming: Evidence from China," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    3. Decai Tang & Ziqian Zhao & Wenwen Shen & Jianqun Zhang & Yuehong Kong & Valentina Boamah, 2022. "Research on the Impact of Digital Finance on the Industrial Structure Upgrading of the Yangtze River Economic Belt from the Perspective of R&D Innovation," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    4. Mikhail Y. Afanasyev & Alexander V. Kudrov, 2021. "Economic Complexity, Embedding Degree and Adjacent Diversity of the Regional Economies," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 17(2), pages 7-22.
    5. Agarwalla, Astha, 2011. "Agglomeration Economies and Productivity Growth in India," IIMA Working Papers WP2011-01-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    6. Philippe Martin & Thierry Mayer & Florian Mayneris, 2008. "Spatial Concentration and Firm-Level Productivity in France," Sciences Po publications 6858, Sciences Po.
    7. Mohamed Amara & Khaled Thabet, 2019. "Firm and regional factors of productivity: a multilevel analysis of Tunisian manufacturing," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 25-51, August.
    8. Emanuela Marrocu & Raffaele Paci & Stefano Usai, 2013. "Productivity Growth In The Old And New Europe: The Role Of Agglomeration Externalities," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 418-442, August.
    9. Storesletten, Kjetil & Zhao, Bo & Zilibotti, Fabrizio, 2020. "Business Cycle during Structural Change: Arthur Lewis’ Theory from a Neoclassical Perspective," CEPR Discussion Papers 14964, C.E.P.R. Discussion Papers.
    10. Castaño, María-Soledad & Méndez, María-Teresa & Galindo, Miguel-Ángel, 2015. "The effect of social, cultural, and economic factors on entrepreneurship," Journal of Business Research, Elsevier, vol. 68(7), pages 1496-1500.
    11. Herrendorf, Berthold & Rogerson, Richard & Valentinyi, Ákos, 2014. "Growth and Structural Transformation," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 6, pages 855-941, Elsevier.
    12. Simon Alder & Timo Boppart & Andreas Müller, 2022. "A Theory of Structural Change That Can Fit the Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 160-206, April.
    13. Alonso-Carrera, Jaime & Raurich, Xavier, 2015. "Demand-based structural change and balanced economic growth," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 359-374.
    14. Francesca Mameli & Simona Iammarino & Ron Boschma, 2012. "Regional variety and employment growth in Italian labour market areas: services versus manufacturing industries," Papers in Evolutionary Economic Geography (PEEG) 1203, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2012.
    15. Luis Díez Catalán, 2018. "The labor share in the service economy," Working Papers 18/09, BBVA Bank, Economic Research Department.
    16. Yu, Chenyang & Tan, Yuanfang & Zhou, Yu & Zang, Chuanxiang & Tu, Chenglin, 2022. "Can functional urban specialization improve industrial energy efficiency? Empirical evidence from China," Energy, Elsevier, vol. 261(PA).
    17. Francisco J. Buera & Joseph P. Kaboski & Martí Mestieri & Daniel G. O'Connor, 2020. "The Stable Transformation Path," NBER Working Papers 27731, National Bureau of Economic Research, Inc.
    18. Combes, Pierre-Philippe & Magnac, Thierry & Robin, Jean-Marc, 2004. "The dynamics of local employment in France," Journal of Urban Economics, Elsevier, vol. 56(2), pages 217-243, September.
    19. Viktor Ivanovich Blanutsa, 2022. "Regionalization of the Digital Economic Space: Contours of Emerging Approaches," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 56-82.
    20. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

    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:19:y:2022:i:6:p:3718-:d:776031. 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.