Modeling Community Socioeconomic Linkages and Growth: Towards Sustainable NRM Agropastoral Systems Under Environmental Stress and Conflict
Natural resource management (NRM) strategies that produce desirable biophysi- cal results and promise region-wide economic growth and development are most likely to be sustainable in the long run. A number of biophysical interven- tions have been evaluated and identified as potentially important for individual actors within the agro-pastoral systems of Northern Mali, providing both biophysical and economic improvements. The growth and development implications of these interventions for the region’s economic sectors are less well understood. To the extent that income-improving interven- tions in one sector produce different long- term impacts on other sectors, sector-level NRM strategies may be better prioritized to maximize growth and development and thereby serve to minimize income and food-security related conflicts. To assess the differential impacts, this research uses the Social Accounting Matrix (SAM) methodology to develop production and income multipliers for the targeted community within the arid Northern Mali region (Madiama). The linkages and growth consequences for four socioeco- nomic institutions (farmers, agropastoralists, sedentary pastoralists, transhumant pastoralists) have been examined. Intensive income and expendi- ture surveys and secondary data collection within the targeted community have provided the data necessary to develop the accounting matrix framework.
1. Develop a Social Accounting Matrix (SAM) model of a representative land- scape/lifescape (community) in Northern Mali that disaggregates the NRM-related economic activities of pastoral and agro- pastoral/sedentary sectors and analyze the dynamics of the economy including the sector linkages and potentials for sector and economy-wide growth in production, income, and employment. 2. Identify high potential sectors for sustainable NRM interventions that may ameliorate conflict by generating greater community-wide growth and develop- ment including the identification of priority research and investment alterna- tives that further high potential alterna- tives. 3. Expand the SAM model to the larger, regional area (arid/semiarid region) and expand the scope of analysis to include environmental accounts. The analysis will refine the analysis of the dynamics of the regional landscape/lifescape economy and identify high potential sectors for sustainable NRM at the regional level.