IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8443-d1487701.html
   My bibliography  Save this article

Does Intelligent Manufacturing Contribute to the Enhancement of Carbon Emission Performance? Evidence from Total Factor Carbon Emission Performance

Author

Listed:
  • Weibo Jin

    (Business School, Qingdao University of Technology, Qingdao 266520, China
    Institute of Marine Development, Ocean University of China, Qingdao 266100, China)

  • Yuqi Zhang

    (Business School, Qingdao University of Technology, Qingdao 266520, China)

  • Yao Xu

    (Business School, Qingdao University of Technology, Qingdao 266520, China
    Business School, Nanjing Normal University, Nanjing 210023, China)

  • Yi Zhang

    (Business School, Qingdao University of Technology, Qingdao 266520, China)

  • Yanggi Kim

    (Business School, Qilu Institute of Technology, Jinan 250200, China)

  • Yi Yan

    (Business School, Qingdao University of Technology, Qingdao 266520, China)

Abstract

The deep integration of intelligent technology and the manufacturing industry is a crucial driving force for promoting green and low-carbon development, which is a key strategy for achieving sustainable development. Using panel data from 30 provinces in mainland China from 2010 to 2022, this study measures the level of intelligent development and the total factor carbon emission performance (TFCEP). Additionally, a mediating effect model is constructed to explore the impact of intelligent manufacturing (IM) on carbon emission performance (CEP) and its underlying mechanisms. The findings reveal that (1) the intellectualization of the manufacturing industry significantly enhances CEP, a conclusion that remains robust under various tests; (2) the impact of IM on CEP varies by regional geographical locations, the degree of economic agglomeration (EA), and whether the province is a low-carbon pilot area; and (3) the mechanism analysis indicates that IM improves CEP by promoting EA. Given that China is the world’s largest manufacturing country and the largest carbon emitter, analyzing the impact of its IM on CEP provides valuable theoretical insights and practical experiences for China and other manufacturing countries aiming to achieve a win–win situation of sustainable economic development and environmental improvement.

Suggested Citation

  • Weibo Jin & Yuqi Zhang & Yao Xu & Yi Zhang & Yanggi Kim & Yi Yan, 2024. "Does Intelligent Manufacturing Contribute to the Enhancement of Carbon Emission Performance? Evidence from Total Factor Carbon Emission Performance," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8443-:d:1487701
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8443/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/19/8443/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. Brülhart, Marius & Mathys, Nicole A., 2008. "Sectoral agglomeration economies in a panel of European regions," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 348-362, July.
    3. Wang, Yanan & Yin, Shiwen & Fang, Xiaoli & Chen, Wei, 2022. "Interaction of economic agglomeration, energy conservation and emission reduction: Evidence from three major urban agglomerations in China," Energy, Elsevier, vol. 241(C).
    4. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
    5. Xiaozhong Li & Jun Ling, 2023. "The Impact of Manufacturing Intelligence on Green Development Efficiency: A Study Based on Chinese Data," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Emmanuel Anyigbah & Yusheng Kong & Bless Kofi Edziah & Ahotovi Thomas Ahoto & Wilhelmina Seyome Ahiaku, 2023. "Board Characteristics and Corporate Sustainability Reporting: Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    3. Neil Foster & Robert Stehrer, 2009. "Sectoral Productivity, Density and Agglomeration in the Wider Europe," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(4), pages 427-446.
    4. Yin, Xu & Wang, Jing & Li, Yurui & Feng, Zhiming & Wang, Qianyi, 2021. "Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China," Land Use Policy, Elsevier, vol. 109(C).
    5. 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).
    6. Mengyao Liu & Yan Hou & Hongli Jiang, 2023. "The Energy-Saving Effect of E-Commerce Development—A Quasi-Natural Experiment in China," Energies, MDPI, vol. 16(12), pages 1-22, June.
    7. Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.
    8. Tanaka, Kiyoyasu & Hashiguchi, Yoshihiro, 2017. "Agglomeration economies in the formal and informal sectors : a Bayesian spatial approach," IDE Discussion Papers 666, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    9. Filomena Pietrantonio & Francesco Rosiello & Elena Alessi & Matteo Pascucci & Marianna Rainone & Enrica Cipriano & Alessandra Di Berardino & Antonio Vinci & Matteo Ruggeri & Serafino Ricci, 2021. "Burden of COVID-19 on Italian Internal Medicine Wards: Delphi, SWOT, and Performance Analysis after Two Pandemic Waves in the Local Health Authority “Roma 6” Hospital Structures," IJERPH, MDPI, vol. 18(11), pages 1-11, June.
    10. Bingquan Liu & Boyang Nie & Yakun Wang & Xuemin Han & Yongqing Li, 2023. "Does New Infrastructure Affect Regional Carbon Intensity? Empirical Evidence from China," Sustainability, MDPI, vol. 15(24), pages 1-20, December.
    11. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    12. Jaime Vallés-Giménez & Anabel Zárate-Marco, 2021. "A Spatial Dynamic Model for Export Intensity of Hazardous Industrial Waste: The Incentive Effect of Regional Environmental Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(4), pages 859-888, December.
    13. Andres Dominguez & Hernán Enríquez Sierra & Nicolás Cuervo Ballesteros, 2021. "Regional Spatial Structure and Land Use: Evidence from Bogotá and 17 Municipalities," Land, MDPI, vol. 10(9), pages 1-22, August.
    14. Xu, Hao & Xu, Jingxuan & Wang, Jie & Hou, Xiang, 2023. "Reduce production or increase efficiency? Hazardous air pollutants regulation, energy use, and the synergistic effect on industrial enterprises' carbon emission," Energy Economics, Elsevier, vol. 126(C).
    15. Ginés de Rus & Javier Campos & Daniel Graham & M. Pilar Socorro & Jorge Valido, 2020. "Evaluación Económica de Proyectos y Políticas de Transporte: Metodología y Aplicaciones. Parte 1: Metodología para el análisis coste-beneficio de proyectos y políticas de transporte," Working Papers 2020-11, FEDEA.
    16. Blouri, Yashar & Ehrlich, Maximilian V., 2020. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Journal of International Economics, Elsevier, vol. 125(C).
    17. Bebonchu Atems & Grayden Shand, 2018. "An empirical analysis of the relationship between entrepreneurship and income inequality," Small Business Economics, Springer, vol. 51(4), pages 905-922, December.
    18. Lu, Ren & Ruan, Min & Reve, Torger, 2016. "Cluster and co-located cluster effects: An empirical study of six Chinese city regions," Research Policy, Elsevier, vol. 45(10), pages 1984-1995.
    19. Prokop, Viktor & Gerstlberger, Wolfgang & Zapletal, David & Gyamfi, Solomon, 2023. "Do we need human capital heterogeneity for energy efficiency and innovativeness? Insights from European catching-up territories," Energy Policy, Elsevier, vol. 177(C).
    20. Lu, Zhou & Mahalik, Mantu Kumar & Mahalik, Hrushikesh & Zhao, Rui, 2022. "The moderating effects of democracy and technology adoption on the relationship between trade liberalisation and carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 180(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:jsusta:v:16:y:2024:i:19:p:8443-:d:1487701. 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.