Decentralization of responsibility for site decontamination projects: a budget allocation approach
Author: Corbett, Charles ; Debets, Frank J. C. ; Van Wassenhove, Luk N.INSEAD Area: Technology and Operations ManagementIn: European Journal of Operational Research, vol. 86, no. 1, October 1995 Language: EnglishDescription: p. 103-120.Type of document: INSEAD ArticleNote: Please ask us for this itemAbstract: A major problem confronting central governments is to optimally allocate resources for decontamination of polluted sites. "Optimally" refers to obtaining maximum environmental benefits with the limited resources avaible. An important issue in budget allocation is that of decentralization, given the magnitude of the information flows between regional and central level necessary in a fully centralized approach. We investigate the use of mathematical programming models to support allocation procedures to obtain maximum environmental effectiveness and economic efficiencey. We consider the situation where regional authorities provide limited, summary information to the central government, which then allocates budgets. The central budget constraint (and constraints on other resources). The problem can be formulated as a mixed integer programming problem, but the size of the problem preludes the search for optimal solutions. We present an effective heuristic and include computational results on its performance| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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A major problem confronting central governments is to optimally allocate resources for decontamination of polluted sites. "Optimally" refers to obtaining maximum environmental benefits with the limited resources avaible. An important issue in budget allocation is that of decentralization, given the magnitude of the information flows between regional and central level necessary in a fully centralized approach. We investigate the use of mathematical programming models to support allocation procedures to obtain maximum environmental effectiveness and economic efficiencey. We consider the situation where regional authorities provide limited, summary information to the central government, which then allocates budgets. The central budget constraint (and constraints on other resources). The problem can be formulated as a mixed integer programming problem, but the size of the problem preludes the search for optimal solutions. We present an effective heuristic and include computational results on its performance
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