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Fuel consumption elasticities, rebound effect and feebate effectiveness in the Indian and Chinese new car markets

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  • Bansal, Prateek
  • Dua, Rubal

Abstract

China and India, the world's two most populous developing economies, are also among the world's largest automotive markets and carbon emitters. To reduce carbon emissions from the passenger car sector, both countries have considered various policy levers affecting fuel prices, car prices and fuel economy. This study estimates the responsiveness of new car buyers in China and India to such policy levers and drivers including income. Furthermore, we estimate the potential for rebound effect and the effectiveness of a feebate policy. To accomplish this, we developed a joint discrete-continuous model of car choice and usage based on revealed preference survey data from approximately 8000 new car buyers from India and China who purchased cars in 2016–17. Conditional on buying a new car, the fuel consumption in both markets is found to be relatively unresponsive to fuel price and income, with magnitudes of elasticity estimates ranging from 0.12 to 0.15. For both markets, the mean segment-level direct elasticities of fuel consumption relative to car price and fuel economy range from 0.57 to 0.65. The rebound effect on fuel savings due to cost-free fuel economy improvement is found to be 17.1% for India and 18.8% for China. A revenue-neutral feebate policy, with average rebates and fees of up to around 15% of the retail price, resulted in fuel savings of around 0.7% for both markets. While the feebate policy's rebound effect is low – 7.3% for India and 1.6% for China– it does not appear to be an effective fuel conservation policy.

Suggested Citation

  • Bansal, Prateek & Dua, Rubal, 2022. "Fuel consumption elasticities, rebound effect and feebate effectiveness in the Indian and Chinese new car markets," Energy Economics, Elsevier, vol. 113(C).
  • Handle: RePEc:eee:eneeco:v:113:y:2022:i:c:s0140988322003425
    DOI: 10.1016/j.eneco.2022.106192
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    1. Ou, Shiqi & Lin, Zhenhong & Xu, Guoquan & Hao, Xu & Li, Hongwei & Gao, Zhiming & He, Xin & Przesmitzki, Steven & Bouchard, Jessey, 2020. "The retailed gasoline price in China: Time-series analysis and future trend projection," Energy, Elsevier, vol. 191(C).
    2. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.
    3. Don Fullerton & Li Gan & Miwa Hattori, 2015. "A model to evaluate vehicle emission incentive policies in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 79-108, January.
    4. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    5. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
    6. Chugh, Randy & Cropper, Maureen & Narain, Urvashi, 2011. "The cost of fuel economy in the Indian passenger vehicle market," Energy Policy, Elsevier, vol. 39(11), pages 7174-7183.
    7. Mark R. Jacobsen, 2013. "Evaluating US Fuel Economy Standards in a Model with Producer and Household Heterogeneity," American Economic Journal: Economic Policy, American Economic Association, vol. 5(2), pages 148-187, May.
    8. Chugh, Randy & Cropper, Maureen, 2017. "The welfare effects of fuel conservation policies in a dual-fuel car market: Evidence from India," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 244-261.
    9. Georges Darido & Mariana Torres-Montoya & Shomik Mehndiratta, 2014. "Urban transport and CO 2 emissions: some evidence from Chinese cities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(2), pages 122-155, March.
    10. Ye Feng & Don Fullerton & Li Gan, 2013. "Vehicle choices, miles driven, and pollution policies," Journal of Regulatory Economics, Springer, vol. 44(1), pages 4-29, August.
    11. Lin, C.-Y. Cynthia & Zeng, Jieyin (Jean), 2013. "The elasticity of demand for gasoline in China," Energy Policy, Elsevier, vol. 59(C), pages 189-197.
    12. Ling-Yun He & Sheng Yang & Dongfeng Chang, 2017. "Oil Price Uncertainty, Transport Fuel Demand and Public Health," IJERPH, MDPI, vol. 14(3), pages 1-19, March.
    13. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    14. Karplus, Valerie J. & Paltsev, Sergey & Babiker, Mustafa & Reilly, John M., 2013. "Should a vehicle fuel economy standard be combined with an economy-wide greenhouse gas emissions constraint? Implications for energy and climate policy in the United States," Energy Economics, Elsevier, vol. 36(C), pages 322-333.
    15. Chen, Yuan & Lin Lawell, C.-Y. Cynthia & Wang, Yunshi, 2020. "The Chinese automobile industry and government policy," Research in Transportation Economics, Elsevier, vol. 84(C).
    16. West, Sarah E., 2004. "Distributional effects of alternative vehicle pollution control policies," Journal of Public Economics, Elsevier, vol. 88(3-4), pages 735-757, March.
    17. Sun, Qi & Xu, Lin & Yin, Hua, 2016. "Energy pricing reform and energy efficiency in China: Evidence from the automobile market," Resource and Energy Economics, Elsevier, vol. 44(C), pages 39-51.
    18. Junji Xiao & Heng Ju, 2014. "Market Equilibrium and the Environmental Effects of Tax Adjustments in China's Automobile Industry," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 306-317, May.
    19. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    20. Ziying Yang & Manping Tang, 2019. "Welfare Analysis of Government Subsidy Programs for Fuel-Efficient Vehicles and New Energy Vehicles in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 911-937, October.
    21. Pinelopi Koujianou Goldberg, 1998. "The Effects of the Corporate Average Fuel Efficiency Standards in the US," Journal of Industrial Economics, Wiley Blackwell, vol. 46(1), pages 1-33, March.
    22. Sheldon, Tamara L. & Dua, Rubal, 2021. "How responsive is Saudi new vehicle fleet fuel economy to fuel-and vehicle-price policy levers?," Energy Economics, Elsevier, vol. 97(C).
    23. Tan, Jijun & Xiao, Junji & Zhou, Xiaolan, 2019. "Market equilibrium and welfare effects of a fuel tax in China: The impact of consumers' response through driving patterns," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 20-43.
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