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A comparison of innovative financing and general fiscal investment strategies for second-class highways: Perspectives for building a sustainable financing strategy

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  • Sun, Zhentian
  • Li, Xuhong
  • Xie, Yuanchang

Abstract

A long-term sustainable financing strategy is critical for highway development and maintenance; however, the effects of two major financing strategies—general fiscal investment, strategy (GFIS) and innovative financing strategy (IFS)—are still unclear to transportation decision, and policymakers. Based on the current financing practices for the second-class highways in China, (equivalent to U.S. or state highways in the United States connecting major cities in a state), this paper developed an integrated method to assess the long-term sustainability of IFS and GFIS in terms of the following widely accepted criteria: adequacy, stability, efficiency, equity, ease of implementation, and political acceptability. These criteria were further classified into quantifiable efficiency criteria (QEC) and non-quantifiable social-institutional criteria (NQSIC) categories. In this research, time-series analysis and telephone-interview methods were used for accessing QEC and NQSIC, respectively. It was found that the IFS in general has more advantage in providing sufficient, stable, and effective funds than the GFIS, and it is considered more favorable and acceptable than GFIS by both provincial and local governments. The results of this research can help decision makers at various levels in China to develop sustainable and effective funding strategies for the second-class highways. In addition, this study provides an international perspective for solving the second-class-highway financing issues and is a useful reference to researchers and policymakers in other countries.

Suggested Citation

  • Sun, Zhentian & Li, Xuhong & Xie, Yuanchang, 2014. "A comparison of innovative financing and general fiscal investment strategies for second-class highways: Perspectives for building a sustainable financing strategy," Transport Policy, Elsevier, vol. 35(C), pages 193-201.
    • Handle: RePEc:eee:trapol:v:35:y:2014:i:c:p:193-201
    DOI: 10.1016/j.tranpol.2014.05.022
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    1. Starr McMullen, B. & Zhang, Lei & Nakahara, Kyle, 2010. "Distributional impacts of changing from a gasoline tax to a vehicle-mile tax for light vehicles: A case study of Oregon," Transport Policy, Elsevier, vol. 17(6), pages 359-366, November.
    2. Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
    3. Hayashi, Yoshitsugu & Yang, Zhongzhen & Osman, Omar, 1998. "The effects of economic restructuring on China's system for financing transport infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(3), pages 183-195, April.
    4. Gwilliam, Ken & Shalizi, Zmarak, 1999. "Road Funds, User Charges and Taxes," The World Bank Research Observer, World Bank, vol. 14(2), pages 159-185, August.
    5. Sun, Zhentian & Li, Xuhong & Qiao, Wenxin & Haghani, Ali, 2013. "Entropy-based performance evaluation on institutional structures of trunk highway management—Case study in China," Transport Policy, Elsevier, vol. 27(C), pages 85-91.
    6. Hyndman, Rob J. & Koehler, Anne B. & Snyder, Ralph D. & Grose, Simone, 2002. "A state space framework for automatic forecasting using exponential smoothing methods," International Journal of Forecasting, Elsevier, vol. 18(3), pages 439-454.
    7. Taylor, James W., 2003. "Exponential smoothing with a damped multiplicative trend," International Journal of Forecasting, Elsevier, vol. 19(4), pages 715-725.
    8. de Jong, Martin & Mu, Rui & Stead, Dominic & Ma, Yongchi & Xi, Bao, 2010. "Introducing public–private partnerships for metropolitan subways in China: what is the evidence?," Journal of Transport Geography, Elsevier, vol. 18(2), pages 301-313.
    9. António Afonso, 2005. "Fiscal Sustainability: The Unpleasant European Case," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 61(1), pages 19-44, March.
    10. Wilcox, David W, 1989. "The Sustainability of Government Deficits: Implications of the Present-Value Borrowing Constraint," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(3), pages 291-306, August.
    11. Wachs, Martin, 2003. "A Dozen Reasons for Raising Gasoline Taxes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2000f8t0, Institute of Transportation Studies, UC Berkeley.
    12. Sebastian Edwards, 2003. "Debt relief and fiscal sustainability," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(1), pages 38-65, March.
    13. Feng Xie & David Levinson, 2009. "Modeling the Growth of Transportation Networks: A Comprehensive Review," Networks and Spatial Economics, Springer, vol. 9(3), pages 291-307, September.
    14. Mr. Nigel A Chalk & Mr. Richard Hemming, 2000. "Assessing Fiscal Sustainability in Theory and Practice," IMF Working Papers 2000/081, International Monetary Fund.
    15. García Márquez, Fausto Pedro & Lewis, Richard W. & Tobias, Andrew M. & Roberts, Clive, 2008. "Life cycle costs for railway condition monitoring," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1175-1187, November.
    16. Christopher Kennedy & Eric Miller & Amer Shalaby & Heather Maclean & Jesse Coleman, 2005. "The Four Pillars of Sustainable Urban Transportation," Transport Reviews, Taylor & Francis Journals, vol. 25(4), pages 393-414, March.
    Full references (including those not matched with items on IDEAS)

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    1. Changjie Zhan & Martin De Jong & Hans De Bruijn, 2018. "Funding Sustainable Cities: A Comparative Study of Sino-Singapore Tianjin Eco-City and Shenzhen International Low-Carbon City," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    2. Xinhua Mao & Jiahua Gan & Xilong Zhao, 2019. "Debt Risk Evaluation of Toll Freeways in Mainland China Using the Grey Approach," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    3. Yang, Di & Kastrouni, Eirini & Zhang, Lei, 2016. "Equitable and progressive distance-based user charges design and evaluation of income-based mileage fees in Maryland," Transport Policy, Elsevier, vol. 47(C), pages 169-177.

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