IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i2d10.1007_s10668-022-02883-6.html
   My bibliography  Save this article

Does biased technological progress facilitate the reduction of transportation carbon emissions? A threshold-based perspective

Author

Listed:
  • Xiaohui Yang

    (Shijiazhuang Tiedao University)

  • Zhen Jia

    (Hebei College of Industry and Technology)

  • Zhongmin Yang

    (Hebei Normal University)

Abstract

Rather than relying on traditional factors, low-carbon transportation should be developed by paying more attention to innovation. By constructing an extended stochastic frontier production function, this study explores the threshold effect of technological progress bias on CO2 emission in the transportation sector in eight different regions of China. It is found as the technological progress bias crosses the threshold, the impact of technological progress bias on transportation CO2 emission changes from positive to negative in Northeast China, the midstream of the Yellow River, East China, the Southeast Coast, the midstream of the Yangtze River and the Northwest region. In Northeast China, the coefficient changes from 0.121 to −0.168. In the middle reaches of the Yellow River, the coefficient changes from 0.528 to −0.0468. In East China, the coefficient changes from 0.495 to −0.325. In the Southeast Coast, the coefficient changes from 0.112 to −0.757. In the middle reaches of the Yangtze River, the coefficient changes from 0.518 to −0.177. In Southwest China, the coefficient changes from 0.293 to −0.014. In Northwest China, the coefficient changes from 1.021 to −1.436. In North China, when the technological progress bias exceeds the threshold, the biased technological progress still promotes CO2 emission. The coefficient changes from 0.157 to 0.406. The governments should continue to encourage the transformation of energy technologies from non-renewable energy to renewable energy through differentiated policies.

Suggested Citation

  • Xiaohui Yang & Zhen Jia & Zhongmin Yang, 2024. "Does biased technological progress facilitate the reduction of transportation carbon emissions? A threshold-based perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4269-4292, February.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02883-6
    DOI: 10.1007/s10668-022-02883-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02883-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02883-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gibbons, Stephen & Lyytikäinen, Teemu & Overman, Henry G. & Sanchis-Guarner, Rosa, 2019. "New road infrastructure: The effects on firms," Journal of Urban Economics, Elsevier, vol. 110(C), pages 35-50.
    2. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    3. Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-976, December.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    6. Zhou, Xiaoxiao & Pan, Zixuan & Shahbaz, Muhammad & Song, Malin, 2020. "Directed technological progress driven by diversified industrial structural change," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 112-129.
    7. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    8. Pietzcker, Robert C. & Longden, Thomas & Chen, Wenying & Fu, Sha & Kriegler, Elmar & Kyle, Page & Luderer, Gunnar, 2014. "Long-term transport energy demand and climate policy: Alternative visions on transport decarbonization in energy-economy models," Energy, Elsevier, vol. 64(C), pages 95-108.
    9. Welsch, Heinz & Ochsen, Carsten, 2005. "The determinants of aggregate energy use in West Germany: factor substitution, technological change, and trade," Energy Economics, Elsevier, vol. 27(1), pages 93-111, January.
    10. Smyth, Russell & Narayan, Paresh Kumar & Shi, Hongliang, 2011. "Substitution between energy and classical factor inputs in the Chinese steel sector," Applied Energy, Elsevier, vol. 88(1), pages 361-367, January.
    11. Po-Chi Chen & Ming-Miin Yu, 2014. "Total factor productivity growth and directions of technical change bias: evidence from 99 OECD and non-OECD countries," Annals of Operations Research, Springer, vol. 214(1), pages 143-165, March.
    12. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    13. Li, Tailong & Pan, Shiyuan & Zou, Heng-fu, 2015. "Directed Technological Change: A Knowledge-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 116-143, January.
    14. Xiaojun Lyu & Haiqian Ke, 2022. "Dynamic Threshold Effect of Directed Technical Change Suppress on Urban Carbon Footprint in China," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
    15. Chen, Yufen & Liu, Yanni, 2021. "How biased technological progress sustainably improve the energy efficiency: An empirical research of manufacturing industry in China," Energy, Elsevier, vol. 230(C).
    16. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    17. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    18. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    19. Daron Acemoglu, 2003. "Labor- And Capital-Augmenting Technical Change," Journal of the European Economic Association, MIT Press, vol. 1(1), pages 1-37, March.
    20. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    21. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim José dos Santos, 2021. "Does directed technological change favor energy? Firm-level evidence from Portugal," Energy Economics, Elsevier, vol. 98(C).
    22. Yang, Bo & Liu, Baozhen & Peng, Jiachao & Liu, Xujun, 2022. "The impact of the embedded global value chain position on energy-biased technology progress: Evidence from chinas manufacturing," Technology in Society, Elsevier, vol. 71(C).
    23. Andress, David & Das, Sujit & Joseck, Fred & Dean Nguyen, T., 2012. "Status of advanced light-duty transportation technologies in the US," Energy Policy, Elsevier, vol. 41(C), pages 348-364.
    24. Kivyiro, Pendo & Arminen, Heli, 2014. "Carbon dioxide emissions, energy consumption, economic growth, and foreign direct investment: Causality analysis for Sub-Saharan Africa," Energy, Elsevier, vol. 74(C), pages 595-606.
    25. Okushima, Shinichiro & Tamura, Makoto, 2009. "A double calibration approach to the estimation of technological change," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 119-125.
    26. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    27. Bristow, David N. & Kennedy, Christopher A., 2013. "Maximizing the use of energy in cities using an open systems network approach," Ecological Modelling, Elsevier, vol. 250(C), pages 155-164.
    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. Li, Zhen & Wu, Baijun & Wang, Danyang & Tang, Maogang, 2022. "Government mandatory energy-biased technological progress and enterprises' environmental performance: Evidence from a quasi-natural experiment of cleaner production standards in China," Energy Policy, Elsevier, vol. 162(C).
    2. Xiaoxiao Zhou & Ming Xia & Teng Zhang & Juntao Du, 2020. "Energy- and Environment-Biased Technological Progress Induced by Different Types of Environmental Regulations in China," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    3. Wenhan Ren & Jing Ni & Wen Jiao & Yan Li, 2023. "Explore the key factors of sustainable development: A bibliometric and visual analysis of technological progress," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 492-509, February.
    4. Sun, Xiaojun & Fan, Yee Van & Lei, Yalin & Pan, Ting & Varbanov, Petar Sabev, 2024. "Mechanism of directed technological investment on energy productivity and energy structure: A unified theoretical framework," Energy Economics, Elsevier, vol. 140(C).
    5. Gregory Casey, 2024. "Energy Efficiency and Directed Technical Change: Implications for Climate Change Mitigation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 192-228.
    6. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
    7. Zhu, Xuehong & Zeng, Anqi & Zhong, Meirui & Huang, Jianbai, 2021. "Elasticity of substitution and biased technical change in the CES production function for China's metal-intensive industries," Resources Policy, Elsevier, vol. 73(C).
    8. Li, Guoxiang & Wu, Haoyue & Jiang, Jieshu & Zong, Qingqing, 2023. "Digital finance and the low-carbon energy transition (LCET) from the perspective of capital-biased technical progress," Energy Economics, Elsevier, vol. 120(C).
    9. Sun, Xiaojun & Lei, Yalin & Wang, Xue-Chao & Zhao, Jun & Varbanov, Petar Sabev, 2024. "Directional nature of technological progress in the petrochemical industry prompting energy marginal substitution," Energy, Elsevier, vol. 310(C).
    10. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    11. Tang, Maogang & Li, Zhen & Hu, Fengxia & Wu, Baijun & Zhang, Ruihan, 2021. "Market failure, tradable discharge permit, and pollution reduction: Evidence from industrial firms in China," Ecological Economics, Elsevier, vol. 189(C).
    12. Juan Qian & Ruibing Ji, 2022. "Impact of Energy-Biased Technological Progress on Inclusive Green Growth," Sustainability, MDPI, vol. 14(23), pages 1-24, December.
    13. Zhangsheng Liu & Liuqingqing Yang & Liqin Fan, 2021. "Induced Effect of Environmental Regulation on Green Innovation: Evidence from the Increasing-Block Pricing Scheme," IJERPH, MDPI, vol. 18(5), pages 1-15, March.
    14. Patricia Laurens & Christian Le Bas & Stéphane Lhuillery & Antoine Schoen, 2017. "The determinants of cleaner energy innovations of the world’s largest firms: the impact of firm learning and knowledge capital," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(4), pages 311-333, May.
    15. Wendler, Tobias & Töbelmann, Daniel & Günther, Jutta, 2021. "Natural resources and technology - on the mitigating effect of green tech," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242416, Verein für Socialpolitik / German Economic Association.
    16. Zhou, Xiaoxiao & Pan, Zixuan & Shahbaz, Muhammad & Song, Malin, 2020. "Directed technological progress driven by diversified industrial structural change," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 112-129.
    17. Gregory Casey & Ryo Horii, 2019. "A Multi-factor Uzawa Growth Theorem and Endogenous Capital-Augmenting Technological Change," ISER Discussion Paper 1051, Institute of Social and Economic Research, The University of Osaka.
    18. Campiglio, Emanuele & Spiganti, Alessandro & Wiskich, Anthony, 2024. "Clean innovation, heterogeneous financing costs, and the optimal climate policy mix," Journal of Environmental Economics and Management, Elsevier, vol. 128(C).
    19. Yang, Jun & Yang, Dingjian & Cheng, Jixin, 2024. "The non-rivalry of data, directed technical change and the environment: A theoretical study incorporating data as a production factor," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 417-448.
    20. van den Bijgaart, Inge, 2017. "The unilateral implementation of a sustainable growth path with directed technical change," European Economic Review, Elsevier, vol. 91(C), pages 305-327.

    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:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02883-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.