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The demand for road transport in China: imposing theoretical regularity and flexible functional forms selection

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  • Ling-yun He
  • Li Liu

Abstract

Road transport sector is found to be one of the major emitters, and responsible for serious air pollution and huge pubic health losses. One important parameter for determining the consequences of transport demand shocks for the macroeconomy, air pollution and public health is the elasticity of the demand for transport. Most published studies that use flexible functional forms have ignored the theoretical regularity conditions implied by microeconomic theories. Moreover, even a few studies have checked and/or imposed regularity conditions, most of them equate curvature alone with regularity, thus ignoring or minimizing the importance of other regularities. And then, the results appear biased and may in fact be biased. Therefore, we select three of the most widely used flexible functional forms, the Rotterdam model, the Almost Ideal Demand System (AIDS), and the quadratic AIDS (QUAIDS) to investigate the demand for road transport in China using recent annual expenditure data, over a 13 year period from 2002 to 2014, on three expenditure categories in the transportation sector: private transportation, local transportation and intercity transportation. Estimation shows that the AIDS model is the only model that is able to provide theoretically consistent estimates of the residents demand for road transport in China. Our estimates show that the private transportation is a luxury among the transportation goods, and is elastic in price changes relatively. The empirical results imply that the private and the local transportation, the local and intercity transportation are gross complements. And, the private transportation is a substitute for the inter-city transportation, while the intercity transportation is a complement of the private transportation.

Suggested Citation

  • Ling-yun He & Li Liu, 2016. "The demand for road transport in China: imposing theoretical regularity and flexible functional forms selection," Papers 1612.02656, arXiv.org.
  • Handle: RePEc:arx:papers:1612.02656
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    References listed on IDEAS

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    1. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    2. Ryan, David L & Wales, Terence J, 1998. "A Simple Method for Imposing Local Curvature in Some Flexible Consumer-Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 331-338, July.
    3. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    4. Guy Chapda Nana & Bruno Larue, 2014. "Imposing curvature conditions on flexible functional forms for GNP functions," Empirical Economics, Springer, vol. 47(4), pages 1411-1440, December.
    5. Serletis, Apostolos & Shahmoradi, Asghar, 2007. "A Note On Imposing Local Curvature In Generalized Leontief Models," Macroeconomic Dynamics, Cambridge University Press, vol. 11(2), pages 290-294, April.
    6. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    7. 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.
    8. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    9. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
    10. William A. Barnett, 2004. "Tastes and Technology: Curvature Is Not Sufficient for Regularity," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 429-433, Emerald Group Publishing Limited.
    11. Zhang, Shaojun & Wu, Ye & Liu, Huan & Huang, Ruikun & Yang, Liuhanzi & Li, Zhenhua & Fu, Lixin & Hao, Jiming, 2014. "Real-world fuel consumption and CO2 emissions of urban public buses in Beijing," Applied Energy, Elsevier, vol. 113(C), pages 1645-1655.
    12. BARTEN, Anton P., 1969. "Maximum likelihood estimation of a complete system of demand equations," LIDAM Reprints CORE 34, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. 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.
    14. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    15. Moschini, Giancarlo, 1999. "Imposing Local Curvature Conditions in Flexible Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 487-490, October.
    16. 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.
    17. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    18. R. P. Byron, 1970. "A Simple Method for Estimating Demand Systems under Separable Utility Assumptions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 37(2), pages 261-274.
    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. Deaton, Angus S, 1978. "Specification and Testing in Applied Demand Analysis," Economic Journal, Royal Economic Society, vol. 88(351), pages 524-536, September.
    21. Wadud, Zia, 2016. "Diesel demand in the road freight sector in the UK: Estimates for different vehicle types," Applied Energy, Elsevier, vol. 165(C), pages 849-857.
    22. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Ignacio, Escañuela Romana, 2019. "The elasticities of passenger transport demand in the Northeast Corridor," Research in Transportation Economics, Elsevier, vol. 78(C).

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