This fourth edition of an enduring and popular book has been fully updated and revised, exploring the two opposing paradigms of sustainability in an insightful and accessible way. Eric Neumayer contends that central to the debate on sustainable development is the question of whether natural capital can be substituted by other forms of capital. Proponents of weak sustainability maintain that such substitutability is possible, whilst followers of strong sustainability regard natural capital as non-substitutable.The author examines the availability of natural resources for the production of consumption goods and the environmental consequences of economic growth. He identifies the critical forms of natural capital in need of preservation given risk, uncertainty and ignorance about the future and opportunity costs of preservation. He goes on to provide a critical discussion of measures of sustainability. Indicators of weak sustainability such as Genuine Savings and the Index of Sustainable Economic Welfare - also known as the Genuine Progress Indicator - are analysed, as are indicators of strong sustainability, including ecological footprints, material flows and sustainability gaps. This book will prove essential reading for students, scholars and policymakers with an interest in ecological and environmental economics and sustainable development. Contents: Preface to the Fourth Edition 1. Introduction and Overview 2. Sustainable Development: Conceptual, Ethical and Paradigmatic Issues 3. Resources, the Environment and Economic Growth: Is Natural Capital Substitutable? 4. Preserving Natural Capital in a World of Risk, Uncertainty and Ignorance 5. Measuring Weak Sustainability 6. Measuring Strong Sustainability 7. Conclusions Appendix 1. How Present-value Maximisation Can Lead to Extinction Appendix 2. The Hotelling Rule and Ramsey Rule in a Simple General Equilibrium Model Appendix 3. The Hotelling Rule and the Ramsey Rule in a More Complex Model Bibliography Index

Practically all donor countries that give aid claim to do so on the basis on the recipient's good governance, but do these claims have a real impact on the allocation of aid? Are democratic, human rights-respecting, countries with low levels of corruption and military expenditures actually likely to receive more aid than other countries?
Using econometric analysis, the author examines the factors that really determine the patterns of aid giving. The author analyses such examples as:
* aggregate aid flows
* aid from multilateral organisations such as the EU and the UN
* aid from bilateral donors such as Germany, Japan, the US as well as Arab donors.
This concise, well argued and well researched book will be a great read for students, academics and policy-makers involved in development studies, economics and international relations.

Practically all donor countries that give aid claim to do so on the basis on the recipient's good governance, but do these claims have a real impact on the allocation of aid? Are democratic, human rights-respecting, countries with low levels of corruption and military expenditures actually likely to receive more aid than other countries?
Using econometric analysis, the author examines the factors that really determine the patterns of aid giving. The author analyses such examples as:
* aggregate aid flows
* aid from multilateral organisations such as the EU and the UN
* aid from bilateral donors such as Germany, Japan, the US as well as Arab donors.
This concise, well argued and well researched book will be a great read for students, academics and policy-makers involved in development studies, economics and international relations.

A comprehensive, critical analysis of the interactions between investment, trade and the environment. It examines the consequences of existing multilateral investment and trade regimes, including the WTO and the MAI for the environment, and asks how they should be reformed to protect it. In doing so, the text shows how these regimes can be greened without erecting protectionist barriers to trade that frustrate the development aspirations of poorer countries. The solution seeks to offer a way out of one of the most difficult dilemmas in international policy: how investment and trade can protect the environment without encouraging protectionism by the industrialized world.

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.