ANALYTIC HIERARCHY PROCESS APPLICATION FOR MULTIPLE PURPOSE FOREST RESOURCES MANAGEMENT BUDGET ALLOCATION IN DURANGO, MEXICO
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Published
Feb 28, 2018
Aregai Tecle
Gustavo Perez-Verdin
Abstract
A very important aspect of natural resources management is determining optimal budget allocation to satisfy the needs and aspirations of multiple stakeholders. This is especially the case in developing countries like Mexico where budgetary funds are in short supply. There has been an increasing debate in Durango, Mexico, for example, about determining the most efficient way of allocating a budget for multi-purpose forest management. The debate has been triggered by a growing number of interests and stakeholders, which in addition to optimal timber production, have the desire to improve environmental conditions, water resource development, range and other non-timber resources production, and to provide better amenity values and expanded recreational opportunities. CONAFOR (COmisión NAcionale FORestal), the Mexican agency in charge of allocating funds to promote sustainable forest resources development, has been implementing four national programs: developments of forest resources, tree plantations, non-timber products, and water resources. In addition to these programs, the forest resources management decision-making process involves four interest groups and six management objectives independently connected in a hierarchical framework. Accordingly, the most suitable multi-objective/multi-criterion decision-making (MODM/MCDM) technique for optimal allocation of scarce budgetary funds among the four natural resources development programs is the Analytic Hierarchy Process (AHP). The two programs that receive the most funds are forest resources development and water resources/ environmental services development. In this way, the AHP can be used to optimally distribute scarce financial resources among competing programs to improve regional economic development and better satisfy the needs of various interest groups.
How to Cite
Tecle, A., & Perez-Verdin, G. (2018). ANALYTIC HIERARCHY PROCESS APPLICATION FOR MULTIPLE PURPOSE FOREST RESOURCES MANAGEMENT BUDGET ALLOCATION IN DURANGO, MEXICO. International Journal of the Analytic Hierarchy Process, 10(1). https://doi.org/10.13033/ijahp.v10i1.422
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Keywords
Multiobjective forest management, CONAFOR, forest budget allocation, Mexican community forestry, utility model, ejido
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Duckstein, L., and Tecle, A. (1993b). Multiobjective analysis in water resources: Part I – Numerical versus non-numerical and discrete versus continuous alternatives. In: Marco, Harboe and Salas (Eds.), Stochastic Hydrology and its Use in Engineering (319-332). Dordrecht, The Netherlands: Kluwer Academic Publishers. Doi: https://doi.org/10.1007/978-94-011-1697-8_20
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Duke, J.M., and Aull-Hyde, R. (2002). Identifying public preferences for land preservation using the Analytic Hierarchy Process. Ecological Economics, 42, 131-145. Doi: https://doi.org/10.1016/S0921-8009(02)00053-8
Ford, R.M., Anderson, N,M, Nitschke, C., Bennet, L.T. and Williams, K.J.H. (2017). Psychological values and cues as a basis for developing socially relevant criteria and indicators for forest management. Forest Policy and Economics, 78(2017), 141-150. Doi: https://doi.org/10.1016/j.forpol.2017.01.018
Forman, E. and , Peniwati, K. (1998). Aggregating individual judgments and priorities with the Analytic Hierarchy Process. European Journal of Operational Research, 108(1),165-169. Doi: https://doi.org/10.1016/S0377-2217(97)00244-0
Groselj, P., Hodges, D.G. and Stirn, L.Z. (2016). Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia. Forest Policy and Economics, 71(2016), 80–86. Doi: https://doi.org/10.1016/j.forpol.2015.05.006
Hajkowicz, S., and Higgins. A. (2006). A comparison of multiple criteria analysis techniques for water resource management. European Journal of Operational Research, 184(2008), 255–265. Doi: https://doi.org/10.1016/j.ejor.2006.10.045
Hossain, S.M. Y., and Robak. E.W. (2010). A forest management process to incorporate multiple objectives: a framework for systematic public input. Forests, 1, 99-113. Doi: 10.3390/f1030099
Ishizaka, A., and Labib. A. (2011). Review of the main developments in the Analytic Hierarchy Process. Expert Systems with Applications, 38(11), 14336–14345. Doi: https://doi.org/10.1016/j.eswa.2011.04.143
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