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Oil Price Uncertainty, Transport Fuel Demand and Public Health

Author

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  • Ling-Yun He

    (School of Economics, Jinan University, Guangzhou 510632, China
    Institute of Resource, Environment and Sustainable Development Research, Jinan University, Guangzhou 510632, China
    School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Sheng Yang

    (Huaxia Bank and Renmin University of China Joint Postdoctoral Research Station, Beijing 100005, China)

  • Dongfeng Chang

    (School of Economics, Shandong University, Jinan 250100, China)

Abstract

Based on the panel data of 306 cities in China from 2002 to 2012, this paper investigates China’s road transport fuel (i.e., gasoline and diesel) demand system by using the Almost Ideal Demand System (AIDS) and the Quadratic AIDS (QUAIDS) models. The results indicate that own-priceelasticitiesfordifferentvehiclecategoriesrangefrom−1.215to−0.459(byAIDS)andfrom −1.399 to−0.369 (by QUAIDS). Then, this study estimates the air pollution emissions (CO, NOx and PM2.5) and public health damages from the road transport sector under different oil price shocks. Compared to the base year 2012, results show that a fuel price rise of 30% can avoid 1,147,270 tonnes of pollution emissions; besides, premature deaths and economic losses decrease by 16,149 cases and 13,817.953 million RMB yuan respectively; while based on the non-linear health effect model, the premature deaths and total economic losses decrease by 15,534 and 13,291.4 million RMB yuan respectively. Our study combines the fuel demand and health evaluation models and is the first attempt to address how oil price changes influence public health through the fuel demand system in China. Given its serious air pollution emission and substantial health damages, this paper provides important insights for policy makers in terms of persistent increasing in fuel consumption and the associated health and economic losses.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:3:p:245-:d:91881
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    References listed on IDEAS

    as
    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    3. Zheng, Zhihao & Henneberry, Shida Rastegari, 2012. "Estimating the impacts of rising food prices on nutrient intake in urban China," China Economic Review, Elsevier, vol. 23(4), pages 1090-1103.
    4. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    5. Robert B. Barsky & Lutz Kilian, 2004. "Oil and the Macroeconomy Since the 1970s," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 115-134, Fall.
    6. Lin, Boqiang & Jiang, Zhujun, 2011. "Estimates of energy subsidies in China and impact of energy subsidy reform," Energy Economics, Elsevier, vol. 33(2), pages 273-283, March.
    7. He, Ling-Yun & Chen, Yu, 2013. "Thou shalt drive electric and hybrid vehicles: Scenario analysis on energy saving and emission mitigation for road transportation sector in China," Transport Policy, Elsevier, vol. 25(C), pages 30-40.
    8. Apostolos Serletis, 2012. "International Evidence on Sectoral Interfuel Substitution," World Scientific Book Chapters, in: Interfuel Substitution, chapter 3, pages 37-65, World Scientific Publishing Co. Pte. Ltd..
    9. Lutz Kilian, 2008. "Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
    10. Brajer, Victor & Mead, Robert W. & Xiao, Feng, 2006. "Valuing the health impacts of air pollution in Hong Kong," Journal of Asian Economics, Elsevier, vol. 17(1), pages 85-102, February.
    11. West, Sarah E. & Williams, R.C.Roberton III, 2004. "Estimates from a consumer demand system: implications for the incidence of environmental taxes," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 535-558, May.
    12. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    13. Ali Jadidzadeh & Apostolos Serletis, 2016. "Sectoral Interfuel Substitution in Canada: An Application of NQ Flexible Functional Forms," The Energy Journal, , vol. 37(2), pages 181-200, April.
    14. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    15. HE, Ling-Yun & QIU, Lu-Yi, 2016. "Transport demand, harmful emissions, environment and health co-benefits in China," Energy Policy, Elsevier, vol. 97(C), pages 267-275.
    16. James Hammitt & Ying Zhou, 2006. "The Economic Value of Air-Pollution-Related Health Risks in China: A Contingent Valuation Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(3), pages 399-423, March.
    17. Dongfeng Chang & Apostolos Serletis, 2014. "The Demand For Gasoline: Evidence From Household Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 291-313, March.
    18. Chen, Su-Mei & He, Ling-Yun, 2014. "Welfare loss of China's air pollution: How to make personal vehicle transportation policy," China Economic Review, Elsevier, vol. 31(C), pages 106-118.
    19. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    20. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    21. Sheng Yang & Ling-Yun He, 2016. "Transport pollution in China – Evidence from Beijing," Energy & Environment, , vol. 27(3-4), pages 377-388, May.
    22. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    23. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    24. Huo, Hong & He, Kebin & Wang, Michael & Yao, Zhiliang, 2012. "Vehicle technologies, fuel-economy policies, and fuel-consumption rates of Chinese vehicles," Energy Policy, Elsevier, vol. 43(C), pages 30-36.
    25. Kayser, Hilke A., 2000. "Gasoline demand and car choice: estimating gasoline demand using household information," Energy Economics, Elsevier, vol. 22(3), pages 331-348, June.
    26. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    27. Kuo S. Huang, 1996. "Nutrient Elasticities in a Complete Food Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 21-29.
    28. HE Ling-Yun & OU Jia-Jia, 2016. "Taxing sulphur dioxide emissions: A policy evaluation from public health perspective in China," Energy & Environment, , vol. 27(6-7), pages 755-764, November.
    29. Kui-Yin Cheung & Elspeth Thomson, 2004. "The Demand for Gasoline in China: A Cointegration Analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(5), pages 533-544.
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    Cited by:

    1. 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).

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