Abstract
The implications of indivisibilities and economies of scale on the optimal location of industrial plants and on the optimal choice of their pollution abatement technologies under given air quality standards are examined. Various optimization models, accounting for abatement, land development and plant relocation costs, as well as for locational economies of scale, are developed, using the integer and mixed-integer linear programming framework. A method for computing taxes and subsidies leading the system to the optimal pattern of decisions under decentralized decision-making is proposed. Finally, an application of the approach with real data of the Haifa region is implemented, illustrating the utility of the approach for environmental management.
Published Version
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