Mastering the Risky Business of Public-Private Partnerships in Infrastructure


Book Description

Investment in infrastructure can be a driving force of the economic recovery in the aftermath of the COVID-19 pandemic in the context of shrinking fiscal space. Public-private partnerships (PPP) bring a promise of efficiency when carefully designed and managed, to avoid creating unnecessary fiscal risks. But fiscal illusions prevent an understanding the sources of fiscal risks, which arise in all infrastructure projects, and that in PPPs present specific characteristics that need to be addressed. PPP contracts are also affected by implicit fiscal risks when they are poorly designed, particularly when a government signs a PPP contract for a project with no financial sustainability. This paper reviews the advantages and inconveniences of PPPs, discusses the fiscal illusions affecting them, identifies a diversity of fiscal risks, and presents the essentials of PPP fiscal risk management.




The Macroeconomic Effects of Public Investment


Book Description

This paper provides new evidence of the macroeconomic effects of public investment in advanced economies. Using public investment forecast errors to identify the causal effect of government investment in a sample of 17 OECD economies since 1985 and model simulations, the paper finds that increased public investment raises output, both in the short term and in the long term, crowds in private investment, and reduces unemployment. Several factors shape the macroeconomic effects of public investment. When there is economic slack and monetary accommodation, demand effects are stronger, and the public-debt-to-GDP ratio may actually decline. Public investment is also more effective in boosting output in countries with higher public investment efficiency and when it is financed by issuing debt.




Confronting Climate Uncertainty in Water Resources Planning and Project Design


Book Description

Confronting Climate Uncertainty in Water Resources Planning and Project Design describes an approach to facing two fundamental and unavoidable issues brought about by climate change uncertainty in water resources planning and project design. The first is a risk assessment problem. The second relates to risk management. This book provides background on the risks relevant in water systems planning, the different approaches to scenario definition in water system planning, and an introduction to the decision-scaling methodology upon which the decision tree is based. The decision tree is described as a scientifically defensible, repeatable, direct and clear method for demonstrating the robustness of a project to climate change. While applicable to all water resources projects, it allocates effort to projects in a way that is consistent with their potential sensitivity to climate risk. The process was designed to be hierarchical, with different stages or phases of analysis triggered based on the findings of the previous phase. An application example is provided followed by a descriptions of some of the tools available for decision making under uncertainty and methods available for climate risk management. The tool was designed for the World Bank but can be applicable in other scenarios where similar challenges arise.




Techniques for Treating Uncertainty and Risk in the Economic Evaluation of Building Investments


Book Description

The report has two purposes. The first is to describe in depth various techniques for treating uncertainty and risk in project evaluation. The second is to describe advantages and disadvantages of each technique to help the decision maker choose an appropriate one for a given problem. Although the focus is on buildings and building components, the techniques described in this report are equally applicable to non-building investments. These same principles apply in the evaluation of any capital budget expenditure whose future stream of benefits, revenues, savings, or costs is uncertain. Investments in long-lived projects such as buildings are characterized by uncertainties regarding project life, operation and maintenance costs, revenues, and other factors that affect project economics. Since future values of these variable factors are generally not known, it is difficult to make reliable economic evaluations. The traditional approach to project investment analysis is to apply economic methods of project evaluation to "best estimates" of project input variables as if they were certain estimates and then to present results in single-value, deterministic terms. When projects are evaluated without regard to uncertainty of inputs to the analysis, decision makers have insufficient information to measure and evaluate the risk of investing in a project having a different outcome from what is expected. Although the technical literature treats uncertainty and risk analysis extensively, a recent survey shows that applications are still far behind theoretical capabilities. Several reasons might be hypothesized for this lag in implementation. First, practicing analysts anticipate high costs and time-consuming analyses in evaluating risk. Yet computers reduce considerably the costs and time for risk analysis. Second, analysts are concerned about the lack of data. The more uncertain the input data, however, the more helpful it would be to account for the uncertainty and to evaluate the associated risk. Third, decision makers, particularly top managers in corporations or government agencies, are reluctant to accept these techniques because they are not confident that the techniques will help them make better decisions. This reluctance may stem in part from a lack of understanding of the techniques. A comprehensive examination of the different approaches to treating uncertainty and risk in project evaluation would show how the application of risk analysis techniques to uncertain data can improve management decision making. This report is intended as the basis for a new ASTM standard on how to account for uncertainty and risk in economic evaluations of buildings and building components. The approach is tutorial and relatively comprehensive to build understanding of the appropriate concepts and techniques among engineers, architects, and economists of the American Society for Testing and Materials (ASTM) Subcommittee who will develop the new standard. The report is also intended for professionals, educators, students, and managers who are interested in applying these techniques to the economic evaluation of buildings.




Investment under Uncertainty


Book Description

How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.










Economic Analysis of Climate-Proofing Investment Projects


Book Description

Climate change represents an increasing threat to the continued development of the people, preservation of ecosystems, and economic growth of Asia and the Pacific. Mainstreaming climate risk management in all aspects of development is thus key to an effective transition to climate-resilient development pathways. ADB's climate risk management framework aims to reduce risks resulting from climate change to investment projects in Asia and the Pacific. A key step in this framework is the technical and economic valuation of climate-proofing measures. This report describes the conduct of the cost-benefit analysis of climate proofing investment projects. An important message is that the presence of uncertainty about climate change does not invalidate the conduct of the economic analysis of investment projects, nor does it require a new type of economic analysis. However, the presence of uncertainty does require a different type of decision-making process in which technical and economic expertise combine to present decision makers with the best possible information on the economic efficiency of alternative designs of investment projects.




Risk, Uncertainty and Profit


Book Description

A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.