Annotation Using An Innovative Methodological Approach, This Research Paper Provides A Thorough Examination Of The Effect That Governance Frameworks, Both Political And Regulatory, Have On Investors ' Risk Perceptions And On Associated Costs For Infrastructure Financing. Annotation During The Last Decade, Infrastructure Finance And Provision Graduated From Traditional Means To More Innovative Ones, Primarily Initiated By Private Companies And Supported Through Their Equity And Debt. Capital Markets Increasingly Became The Main Funding Source For Infrastructure Projects Worldwide, Including Investments In Developing And Transition Countries Where Infrastructure Penetration Still Falls Considerably Short Of Needs. Infrastructure Bonds Served As The Most Popular Method Of Oil, Gas, Electricity, Telecommunications, And Transport Project Financing In These Countries Throughout 1990-99, Thereby Substituting Government Funding. Using An Innovative Methodological Approach, This Research Paper Provides A Thorough Examination Of The Effect That Governance Frameworks, Both Political And Regulatory, Have On Investorsa' Risk Perceptions And On Associated Costs For Infrastructure Financing. It Identifies Those Political And Regulatory Risks That Most Concern Investors. It Offers A Unique Comparative Analysis Of Developed And Emerging Infrastructure Bond Markets. The Analysis Demonstrates How The Factors That Drive Infrastructure Finance In The Two Country Groups Differ, Which Helps To Identify The Policy Implications Of These Factors. 1. Introduction -- 2. Previous Research -- 3. Analytical Framework -- 4. Data -- 5. What Drives Governance Risk Perception: Cluster Analysis Of Political And Regulatory Risk Data -- 6. Impact Of Governance Risks On Investment Cost At Entry: Analysis Of Cross-sectional At-issuance Spread Data -- 7. True Market Perceptions Of Governance Influence On Infrastructure Finance: Evidence From The Time-series Bond Data -- 8. Conclusions -- Methodology App. 1. The Mathematical Foundation Of Biplot Analysis -- Methodology App. 2. Ols Spread Model For Cross-sectional Data: Macro-level Regulatory Risks Impact Measurement -- Methodology App. 3. Test For Universe Selection Bias -- Truncated Regression. Nina B. Bubnova. Includes Bibliographical References.

Bubnova, Nina, 1974-

Nina B. Bubnova

Washington, DC: World Bank

World Bank technical paper -- no. 488, Washington, DC, District of Columbia, 2000

World Bank technical paper, Washington, Sept. 2000

United States, United States of America

Washington, Unknown, 2000

Includes bibliographical references (p. 76-79)

Библиогр.: с. 76-79 и в примеч.

РГБ

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xiv, 79 p. : 27 cm
Includes bibliographical references

2023-06-28