Abstract
This study explores the relations between agricultural productivity
improvement and mitigation potentiality in Africa mainly in Ghana, Kenya, Rwanda, and Zambia characterized by different agricultural production system and agroecological zones.
Firstly it used Decomposition of Productivity Number Index approach to evaluate the country’s agricultural productivity during their pre- and post-economic market openness. Secondly, the country’s agriculture, forestry, and other land use (AFOLU) emission is assessed, while the last part uses robust regression to determine their impact on country’s agricultural productivity.
It is found that agricultural productivity is improved relatively during the country’s post-economy liberalization. Annual agriculture emission is higher in Kenya with relative annual changes, while changes in forest land emission are considerably in Rwanda. The regression analysis showed that an increase in agricultural emission contributes to a relative decrease in, respectively, Ghana, Rwanda, and Zambia agricultural performance. This means a decrease in their agricultural productivity. However, agricultural emission is contributing to improvement of Kenya agricultural performance. This means an increase in Kenya’s agricultural productivity. Furthermore, forest land sink has positive implication of agricultural productivity in Rwanda. Forest land therefore is contributing to an improvement of Rwanda agriculture production performance. In addition, there is no significant impact of land use change emission on the selected countries’ agricultural performance.
Finally, this chapter found that under the selected country’s production system, their goal of improving their agricultural sector performance by 6 % toward 2015 will reduce Ghana agriculture emission intensity, transform Zambia in agriculture carbon neutral country, increase Rwanda forestry sink potentiality, and increase Kenya agriculture net emission intensity.
This chapter highlights on the need to investigate the linkage on case-by-case basis due to the difference in the country’s agricultural system and agroecological zones, while the cost of mitigation will constitute an important indicator in decision making.