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The effect of incentives and technology on the adoption of electric motorcycles: A stated choice experiment in Vietnam

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  • Jones, Luke R.
  • Cherry, Christopher R.
  • Vu, Tuan A.
  • Nguyen, Quang N.

Abstract

Many Asian cities are experiencing rapid growth in the ownership of personal gasoline-powered motorcycles, a shift away from relatively low-emitting modes of transportation that is contributing to deteriorated air quality. Electric two-wheelers have the potential for significant air pollution reductions as an alternative to gasoline-powered motorcycles; however, they have yet to penetrate many Asian markets. While previous research has examined the adoption of cleaner alternatives to gasoline-powered automobiles (e.g., hybrid electric cars), similar work on motorcycle alternatives is lacking. This study uses a stated preference survey of households in Hanoi, Vietnam to analyze adoption of electric two-wheelers, while focusing on the effects of economic incentives (e.g., differential sales taxes and fuel prices) and technological improvements (e.g., more efficient batteries). A choice model is estimated and market shares are calculated for scenarios involving different levels of electric two-wheeler technology, gasoline prices, and sales tax rates. Results indicate that technological improvements and economic incentives, particularly sales taxes, have significant effects on adoption.

Suggested Citation

  • Jones, Luke R. & Cherry, Christopher R. & Vu, Tuan A. & Nguyen, Quang N., 2013. "The effect of incentives and technology on the adoption of electric motorcycles: A stated choice experiment in Vietnam," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 1-11.
    • Handle: RePEc:eee:transa:v:57:y:2013:i:c:p:1-11
    DOI: 10.1016/j.tra.2013.09.003
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    1. Christian A. Vossler & Maurice Doyon & Daniel Rondeau, 2012. "Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 145-171, November.
    2. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    3. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
    4. Hensher, David A., 1982. "Functional measurement, individual preference and discrete-choice modelling: Theory and application," Journal of Economic Psychology, Elsevier, vol. 2(4), pages 323-335, December.
    5. Arie Beresteanu & Shanjun Li, 2011. "Gasoline Prices, Government Support, And The Demand For Hybrid Vehicles In The United States," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 161-182, February.
    6. Hess, Stephane & Hensher, David A. & Daly, Andrew, 2012. "Not bored yet – Revisiting respondent fatigue in stated choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 626-644.
    7. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Environmental attitudes and emissions charging: An example of policy implications for vehicle choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 171-182.
    8. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    9. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    10. Trappey, Amy J.C. & Trappey, Charles & Hsiao, C.T. & Ou, Jerry J.R. & Li, S.J. & Chen, Kevin W.P., 2012. "An evaluation model for low carbon island policy: The case of Taiwan's green transportation policy," Energy Policy, Elsevier, vol. 45(C), pages 510-515.
    11. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    12. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    13. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
    14. Chandra, Ambarish & Gulati, Sumeet & Kandlikar, Milind, 2010. "Green drivers or free riders? An analysis of tax rebates for hybrid vehicles," Journal of Environmental Economics and Management, Elsevier, vol. 60(2), pages 78-93, September.
    15. Chiou, Yu-Chiun & Wen, Chieh-Hua & Tsai, Shih-Hsun & Wang, Wei-Ying, 2009. "Integrated modeling of car/motorcycle ownership, type and usage for estimating energy consumption and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 665-684, August.
    16. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    17. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    18. Cherry, Christopher R. & Weinert, Jonathan X. & Yang, Xinmiao, 2009. "Comparative Environmental Impacts of Electric Bikes in China," Institute of Transportation Studies, Working Paper Series qt16k918sh, Institute of Transportation Studies, UC Davis.
    19. Calfee, John E., 1985. "Estimating the demand for electric automobiles using fully disaggregated probabilistic choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 287-301, August.
    20. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    21. Louviere, Jordan J & Hensher, David A, 1983. "Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event," Journal of Consumer Research, Oxford University Press, vol. 10(3), pages 348-361, December.
    22. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    23. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    24. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
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    Citations

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    Cited by:

    1. Jinshi Cheng & Jiali Wang & Bengang Gong, 2020. "Game-Theoretic Analysis of Price and Quantity Decisions for Electric Vehicle Supply Chain Under Subsidy Reduction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1185-1208, April.
    2. Xiaoxia Dong & Matthew DiScenna & Erick Guerra, 2019. "Transit user perceptions of driverless buses," Transportation, Springer, vol. 46(1), pages 35-50, February.
    3. Sánchez-Braza, Antonio & Cansino, José M. & Lerma, Enrique, 2014. "Main drivers for local tax incentives to promote electric vehicles: The Spanish case," Transport Policy, Elsevier, vol. 36(C), pages 1-9.
    4. Cherry, Christopher R. & Yang, Hongtai & Jones, Luke R. & He, Min, 2016. "Dynamics of electric bike ownership and use in Kunming, China," Transport Policy, Elsevier, vol. 45(C), pages 127-135.
    5. Yide Liu & Ivan Ka Wai Lai, 2020. "The Effects of Environmental Policy and the Perception of Electric Motorcycles on the Acceptance of Electric Motorcycles: An Empirical Study in Macau," SAGE Open, , vol. 10(1), pages 21582440198, January.
    6. Bansal, Prateek & Daziano, Ricardo A & Guerra, Erick, 2018. "Minorization-Maximization (MM) algorithms for semiparametric logit models: Bottlenecks, extensions, and comparisons," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 17-40.
    7. Sarmad Zaman Rajper & Johan Albrecht, 2020. "Prospects of Electric Vehicles in the Developing Countries: A Literature Review," Sustainability, MDPI, Open Access Journal, vol. 12(5), pages 1-19, March.
    8. Singfat Chu, 2018. "Singapore’s Vehicle Quota System and its impact on motorcycles," Transportation, Springer, vol. 45(5), pages 1419-1432, September.
    9. De Gennaro, Michele & Paffumi, Elena & Martini, Giorgio, 2015. "Customer-driven design of the recharge infrastructure and Vehicle-to-Grid in urban areas: A large-scale application for electric vehicles deployment," Energy, Elsevier, vol. 82(C), pages 294-311.
    10. Li, Yanfei & Chang, Youngho, 2019. "Road transport electrification and energy security in the Association of Southeast Asian Nations: Quantitative analysis and policy implications," Energy Policy, Elsevier, vol. 129(C), pages 805-815.
    11. Carlos Lam & Chih-Wei Pai & Chia-Chang Chuang & Yu-Chun Yen & Chia-Chieh Wu & Shih-Hsiang Yu & Kuo-Sheng Hung & Wen-Ta Chiu, 2019. "Rider factors associated with severe injury after a light motorcycle crash: A multicentre study in an emerging economy setting," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    12. Jon Martin Denstadli & Tom Erik Julsrud, 2019. "Moving Towards Electrification of Workers’ Transportation: Identifying Key Motives for the Adoption of Electric Vans," Sustainability, MDPI, Open Access Journal, vol. 11(14), pages 1-19, July.

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