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Resource allocation tradeoffs in Manila’s peri-urban vegetable production systems: An application of multiple objective programming
Authors:Sergio R Francisco  Mubarik Ali
Institution:1. AVRDC-the World Vegetable Center, Yi-Ming Liao 60, Shanhua, Tainan 741, Taiwan;2. Philippine Rice Research Institute (PhilRice), Maligaya, Science City of Muñoz, Nueva Ecija, 3119 Philippines
Abstract:This paper designed and developed a multi-objective programming (MOP) model to illustrate the dynamic relationship among technologies, productive activities, constraints and farmers’ objectives in the peri-urban vegetable production system and use the model as an economic tool in analysing probable consequences of a given action or innovation on the farm. The best compromise solution was generated using four analytical steps, as follows: single-objective optimization (to determine the ideal and anti-ideal values of the objective functions); constrained optimization (to generate the set of Pareto non-dominated solutions); cluster analysis (to trim down efficient set into smaller homogeneous groups); and compromise programming (to determine where the best compromise solution lies).
Keywords:Multi-objective programming  Risk  Best compromise solution  Resource allocation  Peri-urban production systems
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