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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.
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