(436) Research on Large Mathematical Systems for Economic Planning of the United Arabic Republic بحث حول الأنظمة الرياضية الكبيرة للتخطيط الاقتصادي في الجمهورية العربية المتحدة
This study examines the application of large-scale mathematical systems in economic planning for the United Arab Republic as an advanced quantitative approach designed to improve decision-making processes and support development planning through more rigorous analytical methods. The research is base...
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| Format: | Book |
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معهد التخطيط القومى
2024
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| Online Access: | http://repository.inp.edu.eg//handle/123456789/5613 |
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| Summary: | This study examines the application of large-scale mathematical systems in economic planning for the United Arab Republic as an advanced quantitative approach designed to improve decision-making processes and support development planning through more rigorous analytical methods. The research is based on the assumption that increasing economic complexity and the growing interdependence among economic sectors require the use of sophisticated mathematical models capable of incorporating numerous variables and complex economic relationships. The study adopted a quantitative and analytical methodology based on mathematical programming techniques and large-scale economic models intended to improve planning systems and identify optimal alternatives for resource allocation and development strategies. The research focused on three principal themes: the development of a short-term model for foreign trade and production, the construction of a short-term model for international economic cooperation, and the design of a dynamic model for the five-year development plan incorporating foreign trade and international cooperation dimensions. Furthermore, the study examined technical aspects associated with constructing mathematical planning models, emphasizing the importance of specifying relationships among economic variables and formulating technical coefficients and constraints in ways that accurately represent real economic structures. The research suggests that mathematical systems enhance forecasting capabilities and facilitate the identification of more efficient policy alternatives. The findings indicate that the use of large-scale mathematical models in economic planning may significantly improve resource allocation efficiency and enhance the quality of planning decisions. However, successful implementation depends largely on the availability of reliable statistical data, trained personnel capable of constructing and analyzing complex models, and adequate technological resources. The study concludes that integrating advanced mathematical techniques into economic planning constitutes an important step toward strengthening development policies and achieving more sustainable economic growth and long-term planning effectiveness. |
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