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.
In this fully updated and revised edition of an original and popular text, Eric Neumayer offers an authoritative contribution to one of the most important questions concerning sustainable development: can natural capital be substituted by other forms of c
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 econo
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.
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