Smallholder farming in much of the developing world is famed for its vastly diverse enterprises. Despite this heterogeneity, however, technology generation and dissemination are, for the most part, based on sectoral considerations. This implies that the interlinkages in the variety of enterprises are left unaccounted for, and policy interventions remain sector-focused. Hence, technologies that are primarly focused on agricultural or forest activities but have considerable (positive/negative) crossover effects across sectors are as valuable as they are neglected.
Given this, the proposed project aims to spur understanding of the joint-spillover effects of policy interventions pivotal to forest and agricultural land management. Specific focus will be on assessing the impact of climate smart practices (CSA) and participatory forest management (PFM)-based interventions that potentially have cross sectoral effects, by emphasizing gender related differences in intervention outcomes, and by accounting for the possibility of underlying interdependences in outcome measures.
The baseline data is comprised of 900 households sampled out of 30 kebeles and 14 woredas in three regions of Ethiopia. The second stage data collection is planned be conducted in concurrence with this study. The methodological approach to be employed in the assessment of the cross sectoral impacts of CSA and PFM on incomes is a multinomial endogenous switching regression estimation while possible income interlinkages between the two sectors will be accounted for using a simultaneous equation estimation. Both estimations will have gender-disaggregated versions to capture gender-gaps in cross sectoral effects of the interventions as well as in income interdependencies.
