Normative Models of Depletable Resources.

Abstract

The major theme of this work is the integration of depletable resources supply and sectoral dynamic models. These models are inherently normative due to their mathematical programming formulations. The economic sectors that demand the depletable resource minimize in each time period the cost of meeting the demand for end-use goods. The suppliers allocate the fixed resource stock over time such as to maximize the net present value of profits. Equilibrium is defined by linking the suppliers' revenue with sectoral savings in costs. Mathematical programming concepts, particularly decomposition methods, facilitate the integration of these models. Some extensions are discussed and implemented in this context: essential versus inessential resources, the existence of institutional agents and capacity constraints on resource extraction. Finite-horizon approximation methods for the case of infinite planning horizons are presented. These are of particular interest in the integration of transient and stationary stage models. Leontief substitution systems are also considered. Finite-elasticities in the demand for end-use goods and the supply of alternative primary supplies add more flexibility to the equilibrium model. Linear relationships can be effectively handled by the development of parametric quadratic programming.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1978
Accession Number
ADA055736

Entities

People

  • Eduardo M. Modiano

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Convex Programming
  • Decision Theory
  • Distribution Functions
  • Dynamic Programming
  • Efficiency
  • Evolutionary Algorithms
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Parametric Programming
  • Probability Distributions
  • Quadratic Programming
  • Simplex Method
  • Systems Engineering

Readers

  • Economics
  • Logistics and Supply Chain Management.
  • Mathematical Modeling and Probability Theory.