@article{Koffi-Tessio:50821,
      recid = {50821},
      author = {Koffi-Tessio, Egnonto M.},
      title = {Modelling Climate Change and Agricultural Production in  Sub-Saharan Africa (SSA): In Quest of Statistics},
      address = {2009},
      number = {1005-2016-79339},
      series = {Contributed Paper},
      pages = {31},
      year = {2009},
      abstract = {Climate change is a natural and dynamic phenomenon  resulting from complex
interrelationships between physical,  environmental and human factors. The sustainability
of life  on earth depends partly on the ability of mankind to  maintain this natural and
balanced flow of such gases such  as carbon dioxide (CO2) and water vapor traping  heat.
Unfortunately, human beings contribute significantly  to the presence of such gases
known as Green House Gases  (GHGs) through agricultural and industrial activities.  The
implications are the excess trap of sunlight and the  blocking of outward radiation.
In sub-Saharan Africa (SSA),  the importance of agriculture cannot be stressed  enough
given that it is central to economic growth and most  of economic activities in the region
is still dependent on  agricultural expansion. The crux of the matter is that, in  Africa, the
bulk of agricultural output is still produced  by smallholder farmers who unfortunately
continue to depend  on climate variability. Hence understanding the  relationships between
climate variability and agricultural  production is therefore critical to SSA  countries.
Unfortunately, the statistics base on climate  change is currently very poor and the
provision of these  statistics is compelling and will contribute significantly  to the
understanding of the impacts of these changes to  agriculture, our livelihoods and
economic development.  Recent and upcoming events witness these concerns.
This  paper attempts to provide a theoretical and empirical  framework for exploring the
magnitude of climate  variability in the explanation of agricultural production  in Sub-
Saharan Africa. Despite the statistics constraints,  it is expected that the design and testing
of theoretical  model on climate change will not only attract interests in  investing in
climate changes statistics but also provide  better understanding of the relationships
between  individual and aggregate crop production performances and  insights for policies
directions as pertaining to SSA  countries.},
      url = {http://ageconsearch.umn.edu/record/50821},
      doi = {https://doi.org/10.22004/ag.econ.50821},
}