This book takes both a global as well as a local perspective in assessing the impacts of climate change on the economy, agricultural sector, and households in three of the MENA countries; Syria, Tunisia and Yemen. The major channels of impact for global climate change are through changing world food (and energy) prices, especially since all the countries under analysis are or have become net importers of oil and petroleum products and many food commodities in recent years. The impacts of local climate change decrease crop yields in the longer run and through them, productivity in the agricultural sector and all the implications this may have on both, the livelihoods of those dependent on the sector as well as the rest of the economy. The analysis also covered what happens when both global and local climate changes work simultaneously for each country. Findings show that in all three countries the effects of climate change are negative for people and the economy GDP falls and livelihoods suffer. Furthermore, the prevalence of extreme variations in climate such as the droughts affecting Syria and the floods impacting Yemen draws attention to the potentially significant drawbacks that are likely to not only affect any strides towards economic growth and development, but may also reverse such strides if appropriate policies are not in place to weather this storm. The analyses in this book apply CGE models."

Evaluation pro-poor growth enhancing investments in infrastructure and rural development requires comprehensive appraisal tools. Traditional methods have taken a project or sector perspective that did not capture economy-wide effects. However, in addition to inter-sectoral effects, large-scale investments can also have long-term impacts on national capital formation, the government budget and the foreign trade balance. This study builds a computable general equilibrium model and links it to a micro-accounting module for poverty analysis in Vietnam. The spatial dimension is captured by incorporating two regions into the model: the lagging mountainous province of Son La is compared to the rest of Vietnam. This model is applied to several infrastructure investments and identifies economic growth rates that would be needed to achieve the first Millennium Development Goal.

Evaluation pro-poor growth enhancing investments in infrastructure and rural development requires comprehensive appraisal tools. Traditional methods have taken a project or sector perspective that did not capture economy-wide effects. However, in addition to inter-sectoral effects, large-scale investments can also have long-term impacts on national capital formation, the government budget and the foreign trade balance. This study builds a computable general equilibrium model and links it to a micro-accounting module for poverty analysis in Vietnam. The spatial dimension is captured by incorporating two regions into the model: the lagging mountainous province of Son La is compared to the rest of Vietnam. This model is applied to several infrastructure investments and identifies economic growth rates that would be needed to achieve the first Millennium Development Goal.