IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/110970.html
   My bibliography  Save this paper

Low-Carbon Incentives and the Diffusion for New Energy Vehicles: Evidence from Shanghai

Author

Listed:
  • Li, Yumin
  • Li, Shiyuan
  • Li, Guodong
  • Liu, Minquan

Abstract

Governments have been heavily involved in financing investments that provide environmental benefits. The Chinese government has provided various green incentives for the new energy vehicle (NEV) industry. This study evaluates the effectiveness of these low-carbon incentive policies. We estimate a NEV demand model and simulate different policy scenarios. We find that incentive policies have increased the NEV demand by 56.26% during the sample period. Among these incentive policies, free license policy contributed most of the sales. One should, therefore, consider both financial and non-financial incentive policies in future green development program designs.

Suggested Citation

  • Li, Yumin & Li, Shiyuan & Li, Guodong & Liu, Minquan, 2020. "Low-Carbon Incentives and the Diffusion for New Energy Vehicles: Evidence from Shanghai," MPRA Paper 110970, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:110970
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/110970/1/MPRA_paper_110970.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.
    2. Clinton, Bentley C. & Steinberg, Daniel C., 2019. "Providing the Spark: Impact of financial incentives on battery electric vehicle adoption," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    3. Mark Egan & Ali Hortaçsu & Gregor Matvos, 2017. "Deposit Competition and Financial Fragility: Evidence from the US Banking Sector," American Economic Review, American Economic Association, vol. 107(1), pages 169-216, January.
    4. Du, Jiuyu & Ouyang, Danhua, 2017. "Progress of Chinese electric vehicles industrialization in 2015: A review," Applied Energy, Elsevier, vol. 188(C), pages 529-546.
    5. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    6. Pérez Montes, Carlos, 2014. "The effect on competition of banking sector consolidation following the financial crisis of 2008," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 124-136.
    7. Zhang, Dayong & Zhang, Zhiwei & Managi, Shunsuke, 2019. "A bibliometric analysis on green finance: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 29(C), pages 425-430.
    8. Shujing Li & Jiaping Qiu, 2014. "Financial Product Differentiation over the State Space in the Mutual Fund Industry," Management Science, INFORMS, vol. 60(2), pages 508-520, February.
    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. Bo Jiang & Hector Tzavellas & Xiaoying Yang, 2022. "Deposit Competition, Interbank Market, and Bank Profit," JRFM, MDPI, vol. 15(5), pages 1-15, April.
    2. Haerang Park, 2021. "Testing for Pricing Behavior in the Mortgage Loan Market," Asian Economic Journal, East Asian Economic Association, vol. 35(3), pages 270-293, September.
    3. Greg Lewis & Bora Ozaltun & Georgios Zervas, 2021. "Maximum Likelihood Estimation of Differentiated Products Demand Systems," Papers 2111.12397, arXiv.org.
    4. Matteo Benetton, 2021. "Leverage Regulation and Market Structure: A Structural Model of the U.K. Mortgage Market," Journal of Finance, American Finance Association, vol. 76(6), pages 2997-3053, December.
    5. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Economics Series 307, Institute for Advanced Studies.
    6. Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
    7. Friberg, Richard & Romahn, André, 2015. "Divestiture requirements as a tool for competition policy: A case from the Swedish beer market," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 1-18.
    8. Greg Buchak & Gregor Matvos & Tomasz Piskorski & Amit Seru, 2024. "Beyond the Balance Sheet Model of Banking: Implications for Bank Regulation and Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 132(2), pages 616-693.
    9. Verboven, Frank & Bourreau, Marc & Sun, Yutec, 2018. "Market Entry, Fighting Brands and Tacit Collusion: The Case of the French Mobile Telecommunications Market," CEPR Discussion Papers 12866, C.E.P.R. Discussion Papers.
    10. Xavier D’Haultfœuille & Isis Durrmeyer & Philippe Février, 2019. "Automobile Prices in Market Equilibrium with Unobserved Price Discrimination," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 1973-1998.
    11. Doi, Naoshi & Ohashi, Hiroshi, 2017. "Empirical analysis of the national treatment obligation under the WTO: The case of Japanese shochu," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 43-52.
    12. Farasat A.S. Bokhari & Franco Mariuzzo & Weijie Yan, 2019. "Antibacterial resistance and the cost of affecting demand: the case of UK antibiotics," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2019-03, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    13. Ruyu Xie & Liren An & Nosheena Yasir, 2022. "How Innovative Characteristics Influence Consumers’ Intention to Purchase Electric Vehicle: A Moderating Role of Lifestyle," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    14. Gregory S. Crawford & Nicola Pavanini & Fabiano Schivardi, 2018. "Asymmetric Information and Imperfect Competition in Lending Markets," American Economic Review, American Economic Association, vol. 108(7), pages 1659-1701, July.
    15. Juan Esteban Carranza & Alejandra Ximena González, 2014. "Estimación de la demanda de vehículos nuevos de los hogares colombianos entre 2001 y 2011," Borradores de Economia 11570, Banco de la Republica.
    16. David P. Byrne & Susumu Imai & Vasilis Sarafidis, 2015. "Instrument-free Identifcation and Estimation of the Diferentiated Products Models," Department of Economics - Working Papers Series 1198, The University of Melbourne.
    17. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    18. Rancière, Romain & Ouazad, Amine, 2015. "Structural Demand Estimation with Borrowing Constraints," CEPR Discussion Papers 10866, C.E.P.R. Discussion Papers.
    19. Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 225, Courant Research Centre PEG.
    20. Zhu, Chen & Lopez, Rigoberto A. & Liu, Xiaoou, 2019. "Consumer responses to front-of-package labeling in the presence of information spillovers," Food Policy, Elsevier, vol. 86(C), pages 1-1.

    More about this item

    Keywords

    Low-carbon incentive policies; Subsidies; New energy vehicles; Demand estimation;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:110970. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.