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Determinants of Public–Private Partnerships in Infrastructure in Asia: Implications for Capital Market Development

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  • Suk Hyun
  • Donghyun Park
  • Shu Tian

Abstract

This study attempts to understand the role of greater access to finance, i.e., stocks, bonds, and bank loans, in public–private partnership (PPP) investment in developing countries. Most developing countries still depend heavily on fiscal financing for infrastructure projects. The empirical results reconfirm the fact that banks remain the major source of finance for infrastructure projects. The domestic bond market should be further developed to have depth and liquidity enough to provide longterm funding for private sector investors. Interestingly, it finds a negative impact of bond market development on PPP investment. A possible interpretation is that financing through government bonds, which dominates bond markets in developing countries, discourages private sector participation by reducing financing access to the corporate bond market. The evidence underlines the importance of a well-functioning corporate bond market in developing countries, which can offer long-term financing to private sector participation in infrastructure investments.

Suggested Citation

  • Suk Hyun & Donghyun Park & Shu Tian, 2018. "Determinants of Public–Private Partnerships in Infrastructure in Asia: Implications for Capital Market Development," Working Papers id:12887, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:12887
    Note: Institutional Papers
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    References listed on IDEAS

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    4. Sawada, Yasuyuki, 2015. "The Impacts of Infrastructure in Development: A Selective Survey," ADBI Working Papers 511, Asian Development Bank Institute.
    5. Daniel Platz, 2009. "Infrastructure finance in developing countries—the potential of sub-sovereign bonds," Working Papers 76, United Nations, Department of Economics and Social Affairs.
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    Cited by:

    1. Kodongo, Odongo & Mukoki, Paul & Ojah, Kalu, 2023. "Bond market development and infrastructure-gap reduction: The case of Sub-saharan Africa," Economic Modelling, Elsevier, vol. 121(C).

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