IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10580-d1187371.html
   My bibliography  Save this article

How Does Industrial Upgrading Affect Carbon Productivity in China’s Service Industry?

Author

Listed:
  • Shimei Weng

    (College of Mathematics and Statistics, Fujian Normal University, Fuzhou 350117, China)

  • Jianbao Chen

    (College of Mathematics and Statistics, Fujian Normal University, Fuzhou 350117, China)

Abstract

Promoting carbon productivity is an effective way to reduce carbon emissions. The existing literature focuses mainly on the carbon productivity of heavily polluted sectors, such as heavy industry, the manufacturing industry, and the construction industry. With the deepening of China’s economic transformation and industrial upgrading, the service industry plays an increasingly important role in the national economy, and the ratio and amount of carbon emissions in the service industry show an upward trend. In order to effectively achieve the goal of energy conservation and emission reduction, it is necessary to study how industrial upgrading affects the carbon productivity in the service industry. This study uses a spatial autoregressive panel model to investigate the carbon productivity in China’s service industry. The empirical results are summarized as follows: (1) the carbon productivity of China’s service industry is on the rise, and there exist regional heterogeneity and spatial dependence; (2) industrial upgrading has a significant positive effect on the carbon productivity in China’s service industry; (3) the positive effect of industrial upgrading in the eastern (northern) region is higher than that in middle and western (southern) regions in the service industry; and (4) environmental regulation and economic development have positive moderating effects in the process of industrial upgrading. Accordingly, some targeted policy suggestions are put forward.

Suggested Citation

  • Shimei Weng & Jianbao Chen, 2023. "How Does Industrial Upgrading Affect Carbon Productivity in China’s Service Industry?," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10580-:d:1187371
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10580/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10580/
    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. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    3. Maurice J. G. Bun & Abderrahman El Makhloufi, 2007. "Dynamic Externalities, Local Industrial Structure and Economic Development: Panel Data Evidence for Morocco," Regional Studies, Taylor & Francis Journals, vol. 41(6), pages 823-837.
    4. Yuxin Fang & Hongjun Cao, 2022. "Environmental Decentralization, Heterogeneous Environmental Regulation, and Green Total Factor Productivity—Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    5. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    6. Pan, Xiongfeng & Li, Mengna & Wang, Mengyang & Chu, Junhui & Bo, Hongguang, 2020. "The effects of outward foreign direct investment and reverse technology spillover on China's carbon productivity," Energy Policy, Elsevier, vol. 145(C).
    7. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    8. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    9. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    10. Song, Yan & Zhang, Xiao & Zhang, Ming, 2021. "The influence of environmental regulation on industrial structure upgrading: Based on the strategic interaction behavior of environmental regulation among local governments," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    11. Luc Anselin & Daniel A. Griffith, 1988. "Do Spatial Effecfs Really Matter In Regression Analysis?," Papers in Regional Science, Wiley Blackwell, vol. 65(1), pages 11-34, January.
    12. Yize Yang & Xiujian Wei & Jie Wei & Xiang Gao, 2022. "Industrial Structure Upgrading, Green Total Factor Productivity and Carbon Emissions," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    13. Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
    14. Qamruzzaman, Md, 2022. "Nexus between renewable energy, foreign direct investment, and agro-productivity: The mediating role of carbon emission," Renewable Energy, Elsevier, vol. 184(C), pages 526-540.
    15. Wang, Bin & Yu, Minxiu & Zhu, Yucheng & Bao, Pinjuan, 2021. "Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective," Energy Policy, Elsevier, vol. 158(C).
    16. Mushtaq, Zulqarnain & Wei, Wei & Jamil, Ihsan & Sharif, Maimoona & Chandio, Abbas Ali & Ahmad, Fayyaz, 2022. "Evaluating the factors of coal consumption inefficiency in energy intensive industries of China: An epsilon-based measure model," Resources Policy, Elsevier, vol. 78(C).
    17. Hui Zou & Xuejun Duan & Lei Wang & Tingting Jin, 2022. "The effects of environmental regulation on chemical industry location: Evidence from the region along the Yangtze River, China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 800-822, June.
    18. Wu, Ning & Liu, ZuanKuo, 2021. "Higher education development, technological innovation and industrial structure upgrade," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    19. Wei, Wei & Mushtaq, Zulqarnain & Sharif, Maimoona & Zeng, Xiaowu & Wan-Li, Zhang & Qaisrani, Mumtaz A., 2020. "Evaluating the coal rebound effect in energy intensive industries of China," Energy, Elsevier, vol. 207(C).
    20. Zhe Zhao & Xin Xuan & Fan Zhang & Ying Cai & Xiaoyu Wang, 2022. "Scenario Analysis of Renewable Energy Development and Carbon Emission in the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 11(10), pages 1-13, September.
    21. Xu, Bin & Lin, Boqiang, 2022. "Exploring the spatial distribution of distributed energy in China," Energy Economics, Elsevier, vol. 107(C).
    22. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    23. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    24. Die Li & Jinsheng Zhu, 2019. "The Role of Environmental Regulation and Technological Innovation in the Employment of Manufacturing Enterprises: Evidence from China," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    25. Yiwei Wang & Shuwang Yang & Canmian Liu & Shiying Li, 2018. "How Would Economic Development Influence Carbon Productivity? A Case from Hubei in China," IJERPH, MDPI, vol. 15(8), pages 1-13, August.
    26. Karmellos, M. & Kosmadakis, V. & Dimas, P. & Tsakanikas, A. & Fylaktos, N. & Taliotis, C. & Zachariadis, T., 2021. "A decomposition and decoupling analysis of carbon dioxide emissions from electricity generation: Evidence from the EU-27 and the UK," Energy, Elsevier, vol. 231(C).
    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. 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.
    2. Jun Liu & Yu Qian & Huihong Chang & Jeffrey Yi-Lin Forrest, 2022. "The Impact of Technology Innovation on Enterprise Capacity Utilization—Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    3. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    5. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    6. Xing Zhao & Xin Zhang, 2022. "Research on the Evaluation and Regional Differences in Carbon Emissions Efficiency of Cultural and Related Manufacturing Industries in China’s Yangtze River Basin," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    7. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    8. Andreoni, Valeria, 2022. "Drivers of coal consumption changes: A decomposition analysis for Chinese regions," Energy, Elsevier, vol. 242(C).
    9. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    10. Shangui Peng & Jian Wang & Hao Sun & Zhengning Guo, 2022. "How Does the Spatial Misallocation of Land Resources Affect Urban Industrial Transformation and Upgrading? Evidence from China," Land, MDPI, vol. 11(10), pages 1-22, September.
    11. Yang, Xue & Xu, He & Su, Bin, 2022. "Factor decomposition for global and national aggregate energy intensity change during 2000–2014," Energy, Elsevier, vol. 254(PB).
    12. Jin, Baoling & Han, Ying & Kou, Po, 2023. "Dynamically evaluating the comprehensive efficiency of technological innovation and low-carbon economy in China's industrial sectors," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    13. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    14. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.
    15. Wei Shi & Zhiquan Sha & Fuwei Qiao & Wenwen Tang & Chuyu Luo & Yali Zheng & Chunli Wang & Jun Ge, 2023. "Study on the Temporal and Spatial Evolution of China’s Carbon Dioxide Emissions and Its Emission Reduction Path," Energies, MDPI, vol. 16(2), pages 1-16, January.
    16. Wenhao Qi & Changxing Song & Meng Sun & Liguo Wang & Youcheng Han, 2022. "Sustainable Growth Drivers: Unveiling the Role Played by Carbon Productivity," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
    17. Yu Wang & Lin Zhang, 2023. "The Impact of Technology Innovation on Urban Land Intensive Use in China: Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    18. 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).
    19. Chanyuan Liu & Long Xin & Jinye Li & Huaping Sun, 2022. "The Impact of Renewable Energy Technology Innovation on Industrial Green Transformation and Upgrading: Beggar Thy Neighbor or Benefiting Thy Neighbor," Sustainability, MDPI, vol. 14(18), pages 1-28, September.
    20. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.

    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:15:y:2023:i:13:p:10580-:d:1187371. 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.