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

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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
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    References listed on IDEAS

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    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.
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    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

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