Policymakers will not accept forceful decarbonisation policies if they lead to visibly increasing inequality within their societies. The distributive effects of climate policies need to be addressed. This report provides a selective review of recent academic literature and experience on the distributional effects of climate policies.

The World Bank has partnered with the Commitment to Equity Institute at Tulane University to implement their diagnostic tool—the Commitment to Equity (CEQ) Assessment—designed to assess how taxation and public expenditures affect income inequality, poverty, and different economic groups. The approach relies on comprehensive fiscal incidence analysis, which measures the contribution of each individual intervention to poverty and inequality reduction as well as the combined impact of taxes and social spending. The CEQ Assessment provide an evidence base upon which alternative reform options can be analyzed. The use of a common methodology makes the results comparable across countries. This volume presents eight country studies that examine the distributional effects of individual programs and policy measures—and the net effect of each country’s mix of policies and programs. These case studies were produced in the context of Bank policy dialogue and have since been used to propose alternative reform options.

This book builds upon existing literature to simultaneously examine disparities in the distribution of environmental impacts of environmental policy and in the distribution of financial effects among households.

Most people would agree that it makes sense to tax a company that pollutes in a way that directly reflects the amount of environmental and social damage it has done. Yet in practice, such taxes are fraught with difficulty and have far-reaching implications. A company facing a new tax may lay off workers, for example, exacerbating an unemployment problem. This volume focuses on such external issues and examines in detail the trade-offs involved in designing policies to deal with environmental problems. Reflecting the broad nature of the subject, the contributors include leading economists in the areas of public finance, industrial organization, and trade theory, as well as environmental economists. Integrating both theoretical and empirical methods, they examine environmental policy design as it relates to location decisions, compliance costs, administrative costs, effects on research and development, and international factor movements. Shedding light on an extraordinarily complex and important topic, this collection will be of interest to all those involved in designing effective environmental policy.

Climate change tends to increase the frequency and intensity of weather-related disasters, which puts many people at risk. Economic, social and environmental impacts further increase vulnerability to disasters and tend to set back development, destroy livelihoods, and increase disparity nationally and worldwide. This book addresses the differential vulnerability of people and places, introducing concepts and methods for analysis and illustrating the impact on local, regional, national, and global scales. The chapters in the first section set the stage by focusing on the relationship between climate change and disasters and by broadly exploring their economic and social aftermaths. Further chapters explore particular impacts of climate change, including the social, political and even military conflicts that may arise over scarce natural resources, as well as the effects on biodiversity and thus the natural environment. Chapters in the last section discuss responses to climate change in terms of information sharing and preparedness, adaptation and mitigation particularly the relevance of improving the role of markets, through investment and insurance, to face these challenges. Researchers and policymakers involved in the study of climate change and disaster prevention will find this comprehensive volume of great interest.

Health inequalities blight lives, generate enormous costs, and exist everywhere. This book is the definitive all-in-one guide for anyone who wishes to learn about, commission, and use distributional cost-effectiveness analysis to promote both equity and efficiency in health and healthcare.

Microeconomic Simulation Models for Public Policy Analysis, Volume 1: Distributional Impacts is a collection of papers presented at a conference of the same title held in Washington, D.C. in March 1978. This collection discusses extended micro data models for first-round distributional analysis, models that incorporate behavioral responses to the policies being stimulated, models of macroeconomics, and models that have sectorial or regional impacts. One paper explains that increasing support for the negative income tax scheme can result in bigger increase in the budgetary cost of the program itself. Another paper evaluates the Kasten, Greenberg, Betson program as useful for policymakers to determine the distributional consequences of any proposed changes in policy in welfare reforms. With the oil embargo and energy crisis in the U.S., one author presents a model to measure the impacts these events have on energy consumers, especially on the lower-income group. Such model employs a comprehensive human resources data system that measures the distributional impacts of energy policies. This book is beneficial for policy makers and regulators involved in economic and public services. This book can also help sociologists and academicians in the field of political science and developmental studies.

Increased focus on income inequality and distributional issues has made incidence analysis a crucial input into policy decisions. This note presents the theoretical framework used to conduct incidence analysis of fuel price subsidy reform and presents a user-friendly tool for its application. This new tool requires limited inputs and has the advantage of using the commonly available software program Excel. The note presents an illustration based on the case of Brazil, using the 2005 household survey and input-output table. The results reinforce the typical finding that fuel subsidies benefit well-off households and that their removal would be progressive.

The 2015 Millennium Development Goal to reduce by 50 percent the share of the world's population living in extreme poverty was met early. The number of individuals in developing countries who live in extreme poverty had decreased from 43 percent in 1990 to 21 percent by 2010. Yet, with 1.2 billion people still struggling today, we have a long way to go. What can we learn from the recent success of reducing extreme poverty? Understanding Changes in Poverty brings together different methods to decompose the contributions to poverty reduction. A simple approach quantifies the contribution of changes in demographics, employment, earnings, public transfers, and remittances to poverty reduction. A more complex approach quantifies the contributions to poverty reduction from changes in individual and household characteristics, including changes in the sectoral, occupational, and educational structure of the workforce, as well as changes in the returns to individual and household characteristics. Understanding Changes in Poverty implements these approaches and finds that labor income growth--that is, growth in income per worker rather than an increase in the number of employed workers--was the largest contributor to moderate poverty reduction in 21 countries experiencing substantial reductions in poverty over the past decade. Changes in demographics, public transfers, and remittances helped, but made relatively smaller contributions to poverty reduction. Further decompositions in three countries find that labor income grew mainly because of higher returns to human capital endowments, signaling increases in productivity, higher relative price of labor, or both. Understanding Changes in Poverty will be of particular relevance to development practitioners interested in better understanding distributional changes over time. The methods and tools presented in this book can also be applied to better understand changes in inequality or any other distributional change.