IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i16p6796-d1452318.html

New Quality Productivity and Industrial Structure in China: The Moderating Effect of Environmental Regulation

Author

Listed:
  • Changhua Shao

    (School of Economic and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Han Dong

    (School of Economic and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Yuan Gao

    (School of Economic and Resource Management, Beijing Normal University, Beijing 100875, China)

Abstract

To explore the connotation and development level of China’s new quality productivity, this paper constructs an index system based on innovation, greenness, and productivity. This system is used to describe the development level of China’s new quality productivity. Using relevant data from 30 provincial administrative regions in China from 2011 to 2021, the entropy weight-TOPSIS method was employed to measure the index system. The development level of new quality productivity in China and its four major economic regions was analyzed through the three dimensions of the index system. Additionally, this paper examines the impact of new quality productivity on China’s industrial restructuring and integrates environmental regulation to elucidate the interaction mechanisms among these factors. An econometric regression model is further constructed to verify the effect of new quality productivity on industrial structural change and to examine the moderating role of environmental regulation. The results of this study show that there is a regional imbalance in the level of development of new quality production in China, with the level of development of new quality productivity in the eastern region being significantly higher than that in the central, western, and northeastern regions. However, on the whole, the new quality productivity of the four major regions has been in a state of continuous improvement during the period under investigation, and the spatial gap has been constantly decreasing. The benchmark regression coefficients, sys-GMM regression coefficients, and diff-GMM regression coefficients for new quality productivity and industrial rationalization are −0.6228, −0.1121, and −0.0439, respectively, and they are negatively correlated. The regression coefficients of the sys-GMM and diff-GMM of the interaction terms of environmental regulation and new quality productivity are −0.0051 and −0.0045, and there is a negative moderating effect of environmental regulation between new quality productivity and industrial structure rationalization. The benchmark regression coefficient, the sys-GMM regression coefficient, and the diff-GMM regression coefficient of new quality productivity and industrial upgrading are 2.5179, 0.7525, and 0.3572, respectively, and there is a positive correlation between the two. The regression coefficients of sys-GMM and diff-GMM for the interaction terms of environmental regulation and new quality productivity are 0.0380 and −0.0167, and there is a positive moderating effect of environmental regulation between new quality productivity and industrial structure upgrading.

Suggested Citation

  • Changhua Shao & Han Dong & Yuan Gao, 2024. "New Quality Productivity and Industrial Structure in China: The Moderating Effect of Environmental Regulation," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6796-:d:1452318
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/16/6796/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/16/6796/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    2. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    3. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers 09/02, Institute for Fiscal Studies.
    4. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    5. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    7. Adam Jaffe & Richard Newell & Robert Stavins, 2002. "Environmental Policy and Technological Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 41-70, June.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Zhe Liu & Yue Meng & Yu Sun, 2025. "Research on the Impact and Mechanism of Modernized Industry-City Integration on the Size of the Local Market," Sustainability, MDPI, vol. 17(6), pages 1-17, March.
    2. Xiaotian Gao & Xiangwu Yan & Sheng Song & Ning Xu, 2025. "The Impact and Mechanism of New-Type Urbanization on New Quality Productive Forces: Empirical Evidence from China," Sustainability, MDPI, vol. 17(1), pages 1-22, January.
    3. Min Lu & Xuehan Zhou & Xiaosa Ren & Xing Wang, 2025. "How Can China’s Carbon Emissions Trading Pilot Improve New Quality Productivity?," Sustainability, MDPI, vol. 17(7), pages 1-32, April.
    4. Debao Dai & Shali Cao & Min Zhao, 2025. "Research on the Coupling and Coordination Between New-Quality Productivity and Digital Transformation in China’s Provinces," Sustainability, MDPI, vol. 17(9), pages 1-35, April.
    5. Kaimin Yin & Xing Shen, 2025. "Spatial Effects of New Quality Productivity on the Low-Carbon Transformation of Energy Consumption Structure—Evidence from Provincial Data in China," Sustainability, MDPI, vol. 17(5), pages 1-26, February.
    6. Shubin Wang & Feng Chen, 2025. "Can New Quality Productivity Promote the Carbon Emission Performance—Empirical Evidence from China," Sustainability, MDPI, vol. 17(2), pages 1-26, January.
    7. Ziyu Qin & Jia Wang & Yunhan Wang & Lihao Liu & Junye Zhou & Xinyu Fu, 2025. "Assessing the Impacts of New Quality Productivity on Sustainable Agriculture: Structural Mechanisms and Optimization Strategies—Empirical Evidence from China," Sustainability, MDPI, vol. 17(6), pages 1-47, March.
    8. Junzhi Zhang & Yuchen Zhang, 2025. "Research on Collaborative Performance of Green Supply Chain Enabled by New Quality Productivity," Sustainability, MDPI, vol. 17(9), pages 1-23, April.
    9. Nan Feng & Mingyue Yan & Mingtao Yan, 2024. "Spatiotemporal Evolution and Influencing Factors of New-Quality Productivity," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
    10. Min Jin & Xuezhong Jiang, 2025. "Research on Coupling Coordination Level Between New-Quality Productivity and Industrial Structure Upgrading in the Yangtze River Economic Belt Urban Area," Sustainability, MDPI, vol. 17(11), pages 1-22, June.
    11. Lixin Zhou & Caiping Qu & Li Zhi, 2024. "Research on the Impact of Digital Infrastructure on Urban Breakthrough Green Innovation: A Case Study of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 16(22), pages 1-22, November.
    12. Haiping Lv & Yi Lian & Xiangyu Hua, 2025. "The relationship between FDI quality, new quality productivity forces, and economic resilience in China’s Yangtze River Delta region: insights from an empirical spatial Durbin model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
    13. Purong Chen & Lei Nie & Shunfeng Song & Quan Sun & Jing Zhang, 2025. "Does Green Finance Drive New Quality Productive Forces? Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 17(20), pages 1-28, October.
    14. Shunfang Miao & Yanyong Hu, 2025. "Measurement of New Quality Productivity Development Level and Factor Identification of Obstacle Factors Based on the Analysis of Provincial Panel Data in China," Sustainability, MDPI, vol. 17(4), pages 1-21, February.
    15. Xuejun Chen & Yue Wu, 2025. "A Study on the Mechanisms of New Quality Productive Forces Enabling the Upgrading of the Modern Tourism System: Evidence from China," Sustainability, MDPI, vol. 17(5), pages 1-21, March.
    16. Lingyu Li & Zhichao Liu, 2024. "Sustainable Evolution of China’s Provincial New Quality Productivity Based on Three Dimensions of Multi-Period Development and Combination Weights," Sustainability, MDPI, vol. 16(24), pages 1-17, December.
    17. Li Peng & Paul Anthony Mariadas, 2025. "Research on the Low-Carbon Spatial Spillover Effect Development of the Digital Economy Enabled by New Quality Productivity," Sustainability, MDPI, vol. 17(4), pages 1-22, February.

    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. Qiang Wang & Fuyu Zhang & Rongrong Li, 2024. "Free trade and carbon emissions revisited: The asymmetric impacts of trade diversification and trade openness," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 876-901, February.
    2. Lingling Zhang & Yufeng Wang & Rahman Dunya, 2023. "How Does Environmental Regulation Affect the Development of China’s Pig Industry," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    3. Zhang, Fuyu & Wang, Qiang & Li, Rongrong, 2024. "Linking natural resource abundance and green growth: The role of energy transition," Resources Policy, Elsevier, vol. 91(C).
    4. Falavigna, Greta & Ippoliti, Roberto, 2023. "SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    5. Andrew Isaak & Baris Istipliler & Suleika Bort & Michael Woywode, 2025. "Regulation, Corruption, and Decentralized Autonomous Organizations: Insights from Bitcoin Trading and Platform Founding Between 2011 and 2023," Organization Science, INFORMS, vol. 36(6), pages 2210-2244, November.
    6. Aixing Li & Ke Gong & Jiashun Li & Li Zhang & Xueting Luo, 2025. "Is Monopolization Inevitable in Proof-of-Work Blockchains? Insights from Miner Scale Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 66(3), pages 1825-1850, September.
    7. Di Tommaso, Caterina & Foglia, Matteo & Pacelli, Vincenzo, 2025. "The impact of biodiversity score on the European firm’s performance," International Review of Financial Analysis, Elsevier, vol. 106(C).
    8. Ayman Hassan Bazhair & Mohammed Naif Alshareef, 2022. "Dynamic relationship between ownership structure and financial performance: a Saudi experience," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2098636-209, December.
    9. Jonathan Emenike Ogbuabor & Christian Agu & Benjamin Udoka Onah & Chinasa E. Urama, 2025. "Economic Complexity and Sectoral Performance in Africa: The Role of Economic Governance Institutions," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(3), pages 4557-4576, June.
    10. Maria Bas & Ivan Ledezma, 2010. "Trade integration and within-plant productivity evolution in Chile," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(1), pages 113-146, April.
    11. Jamil, Abd Rahim Md. & Law, Siong Hook & Mohamad Khair-Afham, M.S. & Trinugroho, Irwan, 2023. "Financial inclusion and economic uncertainty in developing countries: The role of digitalisation," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 786-806.
    12. Gnangnon, Sèna Kimm, 2023. "Duration of membership in the world trade organization and investment-oriented remittances inflows," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 258-277.
    13. Sèna Kimm Gnangnon, 2024. "Export product quality and inclusivity in developing countries," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(3), pages 807-843, July.
    14. de La Bruslerie, Hubert, 2025. "News flow as a determinant of the voting premium of dual-class shares," International Review of Law and Economics, Elsevier, vol. 82(C).
    15. Mohamed Mnasri & Georges Dionne & Jean-Pierre Gueyie, 2013. "The Maturity Structure of Corporate Hedging: the Case of the U.S. Oil and Gas Industry," Cahiers de recherche 1337, CIRPEE.
    16. Fabian Dutschkus & Christian Lukas, 2022. "Social Relationships and Group Dynamics within the Supervisory Board and their Influence on CEO Compensation," Schmalenbach Journal of Business Research, Springer, vol. 74(2), pages 163-200, June.
    17. Massil, Joseph Keneck & Tadadjeu, Sosson & Yogo, Urbain Thierry, 2025. "Uncertainty and household consumption in developing countries," Structural Change and Economic Dynamics, Elsevier, vol. 73(C), pages 51-64.
    18. Imran Haider & Cuixia Li & Trinh Thi Viet Ha, 2025. "Climate Change’s Influence on Dairy Farming in Punjab, Pakistan: Effects on Milk Production, Farmers’ Views, and Future Adaptation Strategies," Agriculture, MDPI, vol. 15(11), pages 1-25, May.
    19. Lau, Lin-Sea & Choong, Chee-Keong & Ng, Cheong-Fatt & Liew, Feng-Mei & Ching, Suet-Ling, 2019. "Is nuclear energy clean? Revisit of Environmental Kuznets Curve hypothesis in OECD countries," Economic Modelling, Elsevier, vol. 77(C), pages 12-20.
    20. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:16:y:2024:i:16:p:6796-:d:1452318. 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.