Agrarian Crisis and Steps to Combat It: Evidence of GHG Emission (CO₂) in Sesame Production in Jigawa State, Nigeria

Data for this research were elicited from 99 sesame farmers in Jigawa State, Nigeria via multi-stage sampling technique. Energy efficiency was studied and degrees of technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) were determined using data envelopment analysis (DEA). Additionally, wasteful uses of energy by inefficient farms were assessed and energy saving of different sources was computed. Furthermore, the effect of energy optimization on greenhouse gas (GHG) emission was investigated and the total amount of actual and optimum GHG emission was compared. Results revealed that only 9.4 percent DMUs were technically efficient and the average TE score was 0.624; based on BCC model 34.4 percent DMUs were identified to be efficient and the mean PTE score was 0.79; while based on scale efficiency only 12.5 percent DMUs were efficient, and the mean SE score was 0.804. Furthermore it was observed that approximately 38.17 percent (1505.58MJhaç') of overall input energies can be saved if performance of inefficient DMUs rose to a high level. Moreover, findings inferred that, by energy optimization, total GHG emission can be reduced to an estimated value of 21.87 KgCo₂eq