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Vehicle fleets path and non-linear ownership elasticity for Bolivia, 2000-2035

Author

Listed:
  • Javier Aliaga Lordemann

    (Full Fellow Member at ABCE)

  • Alejandra Terán Orsini

    (Junior Researcher at INESAD)

Abstract

This paper seeks to analyze the evolution of the Bolivian vehicle stock in the mid-term and its policy implications. First, we analyze the relationship between income and vehicle ownership in the country during the period 1970 - 2017 through robust econometric techniques. Based on these results, we use an energy-mix accounting model programmed in General Algebraic Modelling System (GAMS) to analyze how the vehicle fleet and the derived demand of gasoline, natural gas and diesel oil evolved over time. Finally, we observe the trajectory of CO2eq in the transport sector for different types of vehicle categories. Our results prove that the relationship between vehicle ownership and per capita income is highly non-linear and we observe an excessive increase in the vehicle fleet during the last decade. Both of these results will speed up the saturation level of the vehicle fleet in Bolivia. With more equivalented vehicles (EV) on the roads, we expect that the consumption of derivatives will increase over the next years. Hence, we assume imbalances in diesel oil and gasoline production and a lower decarbonization path. Without an energy policy in the transport sector or any energy efficiency measures, the consumption of derivatives would grow 6.9 times and the total emissions of CO2eq would increase 7.93 times in the 2000-2035 period.

Suggested Citation

  • Javier Aliaga Lordemann & Alejandra Terán Orsini, 2020. "Vehicle fleets path and non-linear ownership elasticity for Bolivia, 2000-2035," Development Research Working Paper Series 04/2020, Institute for Advanced Development Studies.
    • Handle: RePEc:adv:wpaper:202004
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    References listed on IDEAS

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    1. Mintesnot Woldeamanuel & Rita Cyganski & Angelika Schulz & Andreas Justen, 2009. "Variation of households ’ car ownership across time: application of a panel data model," Transportation, Springer, vol. 36(4), pages 371-387, July.
    2. Taoufik Bouachera & Mohammad Mazraati, 2007. "Fuel demand and car ownership modelling in India," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 31(1), pages 27-51, March.
    3. Dargay, Joyce & Gately, Dermot, 1999. "Income's effect on car and vehicle ownership, worldwide: 1960-2015," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(2), pages 101-138, February.
    4. Kenneth B. Medlock & Ronald Soligo, 2002. "Car Ownership and Economic Development with Forecasts to the Year 2015," Journal of Transport Economics and Policy, University of Bath, vol. 36(2), pages 163-188, May.
    5. Meurs, Henk, 1993. "A panel data switching regression model of mobility and car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 461-476, November.
    6. Storchmann, Karl, 2005. "Long-Run Gasoline demand for passenger cars: the role of income distribution," Energy Economics, Elsevier, vol. 27(1), pages 25-58, January.
    7. Fred Mannering & Clifford Winston, 1985. "A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 215-236, Summer.
    8. Dargay, Joyce & Gately, Dermot, 1997. "Vehicle ownership to 2015: Implications for energy use and emissions," Energy Policy, Elsevier, vol. 25(14-15), pages 1121-1127, December.
    9. Peter Romilly & Haiyan Song & Xiaming Liu, 2001. "Car ownership and use in Britain: a comparison of the empirical results of alternative cointegration estimation methods and forecasts," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1803-1818.
    10. Dargay, Joyce M, 2001. "The effect of income on car ownership: evidence of asymmetry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 807-821, November.
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    More about this item

    Keywords

    Car ownership; integrated energy-transport modelling; energy-mix; emissions .;
    All these keywords.

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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