The OECD Environmental Outlook provides economy-based projections of environmental pressures and changes in the state of the environment to 2020.

This paper analyzes the effect of an IMF Staff-Monitored Program for Chad to enhance economic development. Weak institutional capacity and governance concerns have limited economic development and donor support in Chad. It is highlighted that the reduction in the nonoil primary deficit envisaged in the 2013 budget appears appropriate, but expenditures linked to the regional security situation and lower than anticipated oil revenues imply large financing needs. There are significant economic and political risks to program implementation,; the regional security situation remains volatile, and the economy is highly dependent on volatile oil revenue.

Environmental statistics is a rapidly growing discipline that is important not only as a division of professional and academic statistics, but also in the accumulation of data on environmental effects and in the formulation of environmental policy by government agencies. This book features contributions from policy makers, scientists actively involved in collection of data, and professional, academic and government statisticians. These explore the interfaces between the different areas of application of environmental statistics and consider the future applications of methods arising from this discipline. Some of the chapters deal specifically with environmental models and methods. Here, the contributors explain specialized statistical techniques that have been developed for analysing environmental data and mathematical models that have been applied to the problem of integrating large amounts of environmental data into a coherent picture of particular environmental systems. Several of the contributions deal specifically with the problems involved in co-ordinating data collection over large geographical areas and over many dimensions of measurement. Finally, the book discusses the problems of formulating specific environmental policies given the nature of the information that has been made available using environmental statistical methods.

"Poverty increased in Zimbabwe in all sectors of the economy during the 1990s. This book provides reasons for the increase in poverty using several analytical techniques including nonparametric and parametric statistical methods. This book is part of a series of studies completed under the Poverty Dynamics in Africa Initiative designed to make use of the vastly improved household survey data in Africa. This series intends to enhance understanding of poverty trends in the region, and to frame more successful poverty-reducing policies for the future."