Economic-commercial evaluation of Senegal

Document Type : Original Research

Author
S. alizadeh
Assistant Professor,Depatment of Economics, Tarbiat .Modares University
Abstract


The purpose of this study was to evaluate the commercial-economic situation of Senegal. In this research, three groups of indicators of the economic environment, the real sector of the economy and the performance of the foreign sector have been examined for this evaluation. The data of the above research has been collected through the website of the World Bank, Trading Economics Institute, Global Economy Institute and Take Profit Trader Institute during the period of 2015-2023. Among the sub-indexes of the economic freedom index, the index of freedom from corruption in Senegal is the leading one, so that the figure of this index shows the high level of corruption in this country, and this issue will definitely cause trust between economic agents and increase the level of attracting foreign investment. became. The share of the industry sector in the GDP during 2012-2022 is 20%, the share of factory production (which is a part of industrial production) is 15%, the share of the agricultural sector is 24% and the share of the service sector is 42% on average, which is It shows the dominant role of the service sector in the economic structure of Senegal. The biggest trade partners of Senegal's economy are Asia and the largest group of imported goods are food and fuels and the largest group of exported goods are metals and minerals, which well shows the potential of this country in these several areas Also, the results of this survey will indicate a negative trend in the trade balance in the coming years in Senegal's economy.

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بابکی، روح الله و مصطفی سلیمی فرد(1393)، نقش محیط کسب و کار و آزادی اقتصادی در رشد اقتصادی کشورهای منتخب با رویکرد داده های تابلویی، مجله اقتصاد و توسعه منطقه ای، سال 21، دوره جدید، شماره 8، صص 121-151.
حسینی، میر عبدالله و تقی هومن(1388)، مطالعه شاخص های کشورهای آفریقایی و جایگاه آن در تجارت خارجی، بررسی های بازرگانی، شماره 36، صص 70-93.
حسینی، میرعبدالله و تقی هومن(1388)، شناخت اقتصاد و تجارت کشورهای شمال آفریقا، پژوهشنامه آفریقا، سال اول، شماره دوم، صص9-40.
شاکری، عباس،نظریه و سیاست های اقتصاد کلان، جلد اول، چاپ اول،انتشارات پارس نویسا، 1387.
گزارش مرکز پژوهش های مجلس(1401)، معرفی و تحلیل برخی شاخص های حوزه بازرگانی خارجی ایران، دفترمطالعات اقتصادی، کد موضوعی 220، شماره مسلسل 18591.
محمدی، تیمور و همکاران(1398)، روش های مختلف پیش بینی رشد اقتصادی ایران، فصلنامه پژوهش های اقتصادی، شماره4، صص93-123.
موسوی جهرمی، یگانه و الهام غلامی(1395)،مدل ترکیبی شبکه عصبی با الگوی ARIMA جهت پیش بینی مالیات بر ارزش افزوده بر مصرف بنزین در ایران، فصلنامه پژوهش های اقتصادی، شماره 2، صص 99-116.
Brajesh and Shekhar C. (2015). Accidental mortality in India: Statistical models for forecasting. International Journal of Humanities and Social Science Invention, 4, 35-45.
Findley, D.F., Monsell, B.C., Bell, W.R., Otto, M.C. and Chen, B.C. (1998), New Capabilities and Methods of the X12 ARIMA Seasonal Adjustmen t Program" (with discussion), Journal of Business and Economic Statistics, 16, 127-177.
Maltseva, K. (2018). ARIMA: making predictions based on history. Foresight. https://www.fsight.ru/ blog/arima-stroim-prognoz-na-osnove-istorii.
Nugroho AD, Prasada IY. Performance and forecast of Indonesian pepper exports to Italy. Bulgarian Journal of Agricultural Science. 2020;26(5):927-934.
Zakria M. and Muhammad F. (2009). Forecasting the population of Pakistan using ARIMA models. Pakistan Journal of Agricultural Science, 46, 214-223.
https://www.worldbank.org.
https://tradingeconomics.com.
https://takeprofittrader.com.
https://www.theglobaleconomy.com.
https://www.heritage.org.