IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v54y2023i2p625-648.html
   My bibliography  Save this article

The innovation effect of low‐carbon technology transfer from the perspective of carbon emission reduction demand: A case study of the Yangtze River Economic Belt in China

Author

Listed:
  • Zefeng Mi
  • Zhixin Qiu
  • Gang Zeng
  • Can Zhou
  • Lei Ye

Abstract

Reducing carbon emissions is the only way to solve the global climate problem, which obviously requires the joint efforts of all regions. From the perspective of carbon emission reduction demand, this research obtains the data of low‐carbon patents and CO2 emissions from 2000 to 2019, and then explores the innovation effect of low‐carbon technology transfer in the Yangtze River Economic Belt (YREB). We draw the following conclusions: (1) Low‐carbon technology transfer has a positive impact on low‐carbon technology innovation. However, a large number of low‐carbon technology transfers are concentrated between developed regions in the YREB at present. (2) No matter from the perspective of total amount or efficiency, carbon emission reduction demand can play positive moderating role in the process of exerting the innovation effect of low‐carbon technology transfer, indicating that the transfer of low‐carbon technologies to regions with high demand is efficient. (3) The moderating effect of carbon emission reduction demand in different regions has regional heterogeneity. Carbon emissions per unit of GDP plays a greater role in moderating the innovation effect of low‐carbon technology transfer in the eastern region, while CO2 emissions plays a greater role in the central and western regions. Therefore, we propose to strengthen the transfer of low‐carbon technologies between developed and less‐developed regions, and adopt differentiation strategies according to the actual situation of each region. Our research has deepened the understanding of environmental economic geography on the innovation effect of low‐carbon technology transfer, and has reference significance for global low‐carbon technology cooperation.

Suggested Citation

  • Zefeng Mi & Zhixin Qiu & Gang Zeng & Can Zhou & Lei Ye, 2023. "The innovation effect of low‐carbon technology transfer from the perspective of carbon emission reduction demand: A case study of the Yangtze River Economic Belt in China," Growth and Change, Wiley Blackwell, vol. 54(2), pages 625-648, June.
    • Handle: RePEc:bla:growch:v:54:y:2023:i:2:p:625-648
    DOI: 10.1111/grow.12670
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12670
    Download Restriction: no
    File URL: https://libkey.io/10.1111/grow.12670?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gu, Gaoxiang & Wang, Zheng & Wu, Leying, 2021. "Carbon emission reductions under global low-carbon technology transfer and its policy mix with R&D improvement," Energy, Elsevier, vol. 216(C).
    2. Irene Brambilla & Galina Hale & Cheryl Long, 2009. "Foreign Direct Investment and the Incentives to Innovate and Imitate," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 835-861, December.
    3. Roberto Fontana & Marco Guerzoni, 2008. "Incentives and uncertainty: an empirical analysis of the impact of demand on innovation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(6), pages 927-946, November.
    4. Fei Fan & Huan Lian & Song Wang, 2020. "Can regional collaborative innovation improve innovation efficiency? An empirical study of Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(1), pages 440-463, March.
    5. Senlin Hu & Gang Zeng & Xianzhong Cao & Huaxi Yuan & Bing Chen, 2021. "Does Technological Innovation Promote Green Development? A Case Study of the Yangtze River Economic Belt in China," IJERPH, MDPI, vol. 18(11), pages 1-18, June.
    6. Simone D’Alessandro & André Cieplinski & Tiziano Distefano & Kristofer Dittmer, 2020. "Feasible alternatives to green growth," Nature Sustainability, Nature, vol. 3(4), pages 329-335, April.
    7. Douglas, Paul H, 1976. "The Cobb-Douglas Production Function Once Again: Its History, Its Testing, and Some New Empirical Values," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 903-915, October.
    8. David Audretsch & Erik Lehmann & Mike Wright, 2014. "Technology transfer in a global economy," The Journal of Technology Transfer, Springer, vol. 39(3), pages 301-312, June.
    9. Yang, Yuying & Guo, Haixiang & Chen, Linfei & Liu, Xiao & Gu, Mingyun & Ke, Xiaoling, 2019. "Regional analysis of the green development level differences in Chinese mineral resource-based cities," Resources Policy, Elsevier, vol. 61(C), pages 261-272.
    10. Hall, Bronwyn H. & Helmers, Christian, 2013. "Innovation and diffusion of clean/green technology: Can patent commons help?," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 33-51.
    11. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2005. "A tale of two market failures: Technology and environmental policy," Ecological Economics, Elsevier, vol. 54(2-3), pages 164-174, August.
    12. Pierre-Alexandre Balland & José Antonio Belso-Martínez & Andrea Morrison, 2016. "The Dynamics of Technical and Business Knowledge Networks in Industrial Clusters: Embeddedness, Status, or Proximity?," Economic Geography, Taylor & Francis Journals, vol. 92(1), pages 35-60, January.
    13. Liyuan Zhang & Xiang Ma & Young-Seok Ock & Lingli Qing, 2022. "Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition," Land, MDPI, vol. 11(1), pages 1-20, January.
    14. Shao, Shuai & Tian, Zhihua & Fan, Meiting, 2018. "Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China," World Development, Elsevier, vol. 105(C), pages 83-94.
    15. Wei Zhang & Robert Taylor, 2001. "EU TECHNOLOGY TRANSFER TO CHINA: The automotive industry as a case study," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 6(2), pages 261-274.
    16. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    17. Bridge, Gavin & Bouzarovski, Stefan & Bradshaw, Michael & Eyre, Nick, 2013. "Geographies of energy transition: Space, place and the low-carbon economy," Energy Policy, Elsevier, vol. 53(C), pages 331-340.
    18. Zefeng Mi & Yongmin Shang & Gang Zeng, 2022. "The impact of knowledge base on technological innovation of emerging industries from the perspective of related variety: A case study of China’s fuel cell industry," Growth and Change, Wiley Blackwell, vol. 53(1), pages 57-75, March.
    19. Schmookler, Jacob, 1962. "Economic Sources of Inventive Activity," The Journal of Economic History, Cambridge University Press, vol. 22(1), pages 1-20, March.
    20. Wang, Cassandra C. & Wu, Aiqi, 2016. "Geographical FDI knowledge spillover and innovation of indigenous firms in China," International Business Review, Elsevier, vol. 25(4), pages 895-906.
    21. Cong Li & Xihua Liu & Xue Bai & Muhammad Umar, 2020. "Financial Development and Environmental Regulations: The Two Pillars of Green Transformation in China," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    22. Yi Qu & Yingqi Wei, 2017. "The Role of Domestic Institutions and FDI on Innovation—Evidence from Chinese Firms," Asian Economic Papers, MIT Press, vol. 16(2), pages 55-76, Summer.
    23. Yuzhuo Cai & Jinyuan Ma & Qiongqiong Chen, 2020. "Higher Education in Innovation Ecosystems," Sustainability, MDPI, vol. 12(11), pages 1-12, 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. Cantner, Uwe & Graf, Holger & Herrmann, Johannes & Kalthaus, Martin, 2016. "Inventor networks in renewable energies: The influence of the policy mix in Germany," Research Policy, Elsevier, vol. 45(6), pages 1165-1184.
    2. Dawid, Herbert & Pellegrino, Gabriele & Vivarelli, Marco, 2017. "Is the demand-pull driver equally crucial for product vs process innovation?," MERIT Working Papers 2017-035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Xiang-Fei Ma & Ru Zhang & Yi-Fan Ruan, 2023. "How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    4. Taalbi, Josef, 2017. "What drives innovation? Evidence from economic history," Research Policy, Elsevier, vol. 46(8), pages 1437-1453.
    5. Nemet, Gregory F. & Zipperer, Vera & Kraus, Martina, 2018. "The valley of death, the technology pork barrel, and public support for large demonstration projects," Energy Policy, Elsevier, vol. 119(C), pages 154-167.
    6. Jin, Wei & Zhang, ZhongXiang, 2016. "On the mechanism of international technology diffusion for energy technological progress," Resource and Energy Economics, Elsevier, vol. 46(C), pages 39-61.
    7. Abdelfeteh Bitat, 2018. "Environmental regulation and eco-innovation: the Porter hypothesis refined," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(3), pages 299-321, September.
    8. Jun Chen & Jia Liu, 2021. "Incentive and uncertainty: the simultaneous effects of demand on innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7743-7757, September.
    9. Corrocher, Nicoletta & Zirulia, Lorenzo, 2010. "Demand and innovation in services: The case of mobile communications," Research Policy, Elsevier, vol. 39(7), pages 945-955, September.
    10. Elizabeth Webster & Paul H. Jensen, 2009. "Macroeconomic Conditions and Successful Commercialization," Melbourne Institute Working Paper Series wp2009n09, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. José García-Quevedo & Gabriele Pellegrino & Maria Savona, 2017. "Reviving demand-pull perspectives: The effect of demand uncertainty and stagnancy on R&D strategy," Cambridge Journal of Economics, Oxford University Press, vol. 41(4), pages 1087-1122.
    12. Alexandra Rese & Anke Kutschke & Daniel Baier, 2016. "Analyzing The Relative Influence Of Supply Side, Demand Side And Regulatory Factors On The Success Of Collaborative Energy Innovation Projects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-43, February.
    13. AM.Priyangani Adikari & Haiyun Liu & MMSA. Marasinghe, 2021. "Inward Foreign Direct Investment-Induced Technological Innovation in Sri Lanka? Empirical Evidence Using ARDL Approach," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    14. van den Bergh, Jeroen, 2023. "Climate policy versus growth concerns: Suggestions for economic research and communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    15. Wei Jin & ZhongXiang Zhang, 2014. "Explaining the Slow Pace of Energy Technological Innovation: Why Market Conditions Matter," CCEP Working Papers 1401, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    16. Wei Jin & ZhongXiang Zhang, 2017. "The tragedy of product homogeneity and knowledge non-spillovers: explaining the slow pace of energy technological progress," Annals of Operations Research, Springer, vol. 255(1), pages 639-661, August.
    17. Bianchini, Stefano & Llerena, Patrick & Patsali, Sofia, 2019. "Demand-pull innovation in science: Empirical evidence from a research university’s suppliers," Research Policy, Elsevier, vol. 48(S).
    18. Dawid, Herbert & Pellegrino, Gabriele & Vivarelli, Marco, 2017. "Demand and innovation: theory and evidence," GLO Discussion Paper Series 92, Global Labor Organization (GLO).
    19. Herbert Dawid & Gabriele Pellegrino & Marco Vivarelli, 2021. "The role of demand in fostering product vs process innovation: a model and an empirical test," Journal of Evolutionary Economics, Springer, vol. 31(5), pages 1553-1572, November.
    20. Hoppmann, Joern & Peters, Michael & Schneider, Malte & Hoffmann, Volker H., 2013. "The two faces of market support—How deployment policies affect technological exploration and exploitation in the solar photovoltaic industry," Research Policy, Elsevier, vol. 42(4), pages 989-1003.

    More about this item

    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:bla:growch:v:54:y:2023:i:2:p:625-648. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.