Modelling the multiplier effect of a local food system
¹Latvia University of Life Sciences and Technologies, Faculty of Economics and Social Development, Institute of Economics and Regional development, 18 Svetes street, LV-3001 Jelgava, Latvia
²Latvia University of Life Sciences and Technologies, Faculty of Economics and Social Development, Institute of Social and Human Sciences, 18 Svetes street, LV-3001 Jelgava, Latvia
*Correspondence: ef08389@llu.lv
Abstract:
Revitalisation of rural communities, benefits for local farmers and environment are expected outcomes of local food initiatives which are emerging as an opposition to the adverse social and economic effects of globalization. Local food networks diversify the rural economy, promote greater economic independence and local potential, improve the area’s image and reduce GHG emissions. The purchase of local food increases incomes of both the community and local producers, as well as increases employment and related multiplier effects at the local level, for example, increased value of new production, import substitution, increased incomes, and created additional jobs. Revitalisation of rural communities, benefits for local farmers and environment are expected outcomes of local food initiatives which are emerging as an opposition to the adverse social and economic effects of globalization It has been revealed that much of current research on local and regional food networks lacks a strong theoretical grounding and quantitative rigor; however, community development practitioners and planners need objective and research-based information for food system design and implementation in order to produce community or regional wellbeing. The aim of the paper is to develop the concept of an integrated assessment model of local food systems based on the analysis of the literature, which would provide a basis for empirical analysis. The analysis model contains dimensions of sustainable development, allowing us to assess not only direct effects (income, reduced greenhouse gas emissions etc.) but also indirect ones (economic, social and environmental resilience of local communities).
Key words:
food system evaluation, food systems model, local food system