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Information Journal Paper

Title

OPTIMAL PROVINCIAL BUDGET ALLOCATION: A GOAL PROGRAMING APPROACH

Pages

  133-152

Abstract

 This study, offers a GOAL PROGRAMMING model for optimal allocation of provincial budget resources in order to achieve macroeconomic and social goals of country include unemployment and income inequalities reduction and production and employment and social capital increasing. The designed model determines optimum proportion of provinces in budgetary resources in order to achieve goals. Empirical results based on ten provincial indicators include the unemployment rate, GINI coefficient, literacy rate, internet penetration rate, economic participation rate, the province proportion of domestic production and the province proportion of industrial, mining, services and agricultural value added, show that, there is relative convergence in distribution of proportion in PUBLIC BUDGET resources, and also achieving goals in the more developed provinces needy higher levels of the budget proportion of the province of the less-developed. Therefore, in order to achieve more balanced development and regional convergence and the elimination of inequalities and spatial heterogeneity and financial recommended the allocation of budgetary resources to less developed provinces must be increase and the budget proportion of the provinces converges.

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    Cite

    APA: Copy

    RAHMANI FAZLI, H., & ARABMAZAR, A. (2016). OPTIMAL PROVINCIAL BUDGET ALLOCATION: A GOAL PROGRAMING APPROACH. JOURNAL OF APPLIED THEORIES OF ECONOMICS, 3(3), 133-152. https://sid.ir/paper/257792/en

    Vancouver: Copy

    RAHMANI FAZLI HADI, ARABMAZAR ABBAS. OPTIMAL PROVINCIAL BUDGET ALLOCATION: A GOAL PROGRAMING APPROACH. JOURNAL OF APPLIED THEORIES OF ECONOMICS. 2016 [cited 2023January29];3(3):133-152. Available from: https://sid.ir/paper/257792/en

    IEEE: Copy

    RAHMANI FAZLI, H., ARABMAZAR, A., 2016. OPTIMAL PROVINCIAL BUDGET ALLOCATION: A GOAL PROGRAMING APPROACH. JOURNAL OF APPLIED THEORIES OF ECONOMICS, [online] 3(3), pp.133-152. Available: https://sid.ir/paper/257792/en.






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