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Socio‐economic policy alternatives in national development: A parametric programming analysis
Author(s) -
Golladayz Frederick L.,
Adelman Irma
Publication year - 1972
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830170203
Subject(s) - social planner , planner , set (abstract data type) , computer science , management science , goal programming , linear programming , parametric statistics , social welfare , function (biology) , parametric programming , operations research , risk analysis (engineering) , public economics , economics , microeconomics , business , political science , artificial intelligence , engineering , mathematics , statistics , algorithm , evolutionary biology , law , biology , programming language
The purpose of this paper is to demonstrate the usefulness of a specific mathematical programming model in the design of national development strategies which treat the formulation of economic and social projects in an integrated manner. It is shown by means of a pilot study that parametric linear programming provides a practical means of estimating the tradeoffs between competing economic and social development goals. By quantifying the sacrifices (in terms of alternative goals) necessary to achieve a particular set of policies, this technique allows a planner to examine systematically the relative costs and benefits of candidate policies. It thereby enhances his insights into the nature and extent of conflict among subgoals in a social welfare function and provides the basis for selecting an optimal overall program for achieving the desired combination of goals from among the entire set of possible courses of action defined by the structure and historical development of the overall socio‐economic system. The present analysis of the relations among economic and social development alternatives focuses specifically on the interactions among the educational and economic subsystems. This focus was selected both because together these sectors impinge on a large number of the socio‐economic goals of nations, as well as because of the important mutual feedback among them.