How moving beyond GDP will improve well-being and sustainability Never before in human history have we produced so much data, and this empirical revolution has shaped economic research and policy profoundly. But are we measuring, and thus managing, the right things—those that will help us solve the real social, economic, political, and environmental challenges of the twenty-first century? In Measuring Tomorrow, Éloi Laurent argues that we need to move away from narrowly useful metrics such as gross domestic product and instead use broader ones that aim at well-being, resilience, and sustainability. By doing so, countries will be able to shift their focus away from infinite and unrealistic growth and toward social justice and quality of life for their citizens. The time has come for these broader metrics to become more than just descriptive, Laurent argues; applied carefully by private and public decision makers, they can foster genuine progress. He begins by taking stock of the booming field of well-being and sustainability indicators, and explains the insights that the best of these can offer. He then shows how these indicators can be used to develop new policies, from the local to the global. An essential resource for scholars, students, and policymakers, Measuring Tomorrow covers all aspects of well-being—including health, education, and the environment—and incorporates a broad range of data and fascinating case studies from around the world: not just the United States and Europe but also China, Africa, the Middle East, and India.

This CEPS book comprises a first-ever economic and regulatory analysis of a possible Free Trade Area (FTA) between China and the EU, whose design is supposed to be 'deep and comprehensive'. It provides an overview of the global economic environment in which EU-Chinese economic relations have developed in recent years, including global value chains linking the two economies. The substance of the FTA design is then elaborated in nine, largely empirical and technical chapters ranging from tariff analysis (at the 6- and 8-digit level) and technical barriers to trade, to services, government procurement and investment. A third part comprises a CGE-model-based empirical simulation of the economic effects on GDP per member state (and on China), bilateral trade in goods and services, wages for workers with three distinct skill-levels and a series of goods and services sectors. The year-long study was led by Jacques Pelkmans of CEPS, and the research was carried out by a team of trade specialists at CEPS in partnership with another team of researchers led by Prof. Joseph Francois of the World Trade Institute (WTI) in Bern.

This title was first published in 2002: This volume represents some of the proceedings of the 24th conference of the International Association of Agricultural Economists (IAAE) held in Berlin, Germany, in August 2000. The papers in this volume include the president's address, the Elmhirst Lecture and a selection of 20 contributed papers. It also includes panel discussion reports, reports on the discussion groups and mini-symposia, poster paper abstracts, and the synoptic view presented at the close of the conference by the new president of the IAAE, Joachin von Braun. The theme of the 24th conference was "Tomorrow's Agriculture: Incentives, Institutions, Infrastructure and Innovations", reflecting the rapid advances being made in the application of biotechnology in both the developed and developing worlds.

The links between trade policy and competition policy have become more important in recent years. This book -- which includes a whole chapter on the telecommunications sector -- throws new light on all these issues in the lead up to the WTO's new round of negotiations.

Historical and recent developments at international ?nancial markets show that it is easy to loose money, while it is dif?cult to predict future developments and op- mize decision-making towards maximizing returns and minimizing risk. One of the reasons of our inability to make reliable predictions and to make optimal decisions is the growing complexity of the global economy. This is especially true for the f- eign exchange market (FX market) which is considered as one of the largest and most liquid ?nancial markets. Its grade of ef?ciencyand its complexityis one of the starting points of this volume. From the high complexity of the FX market, Christian Ullrich deduces the - cessity to use tools from machine learning and arti?cial intelligence, e.g., support vector machines, and to combine such methods with sophisticated ?nancial mod- ing techniques. The suitability of this combination of ideas is demonstrated by an empirical study and by simulation. I am pleased to introduce this book to its - dience, hoping that it will provide the reader with interesting ideas to support the understanding of FX markets and to help to improve risk management in dif?cult times. Moreover, I hope that its publication will stimulate further research to contribute to the solution of the many open questions in this area.