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10,414 result(s) for "السودان"
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Inflation and Economic Growth in the Sudan
Objectives: The study's objective is to investigate the relationship between inflation and economic growth in Sudan from 1982 to 2020. Methods: To achieve this objective, the study co-integration analysis within an auto-regressive distributed lag (ARDL) methodology. The bound test revealed that the model's variables are co-integrated in the long term, with the significance of the error correction term further confirming this long-term relationship, while the ERC should focus on short-term dynamics. Results: The results indicate that the growth rate of real GDP per capita is positively and significantly co-integrated with the growth rate of capital per capita, whereas it is negatively and significantly co-integrated with the inflation rate. Conclusions: The study recommends that policymakers consider this inverse relationship when formulating economic policies.
الكاهن : عامان من التخطيط والفكر الاستراتيجي : عامان من التكتيكات العسكرية : عامان في فن حرب المدن
هذا الكتاب يسلط الضوء على أهمية الجيوش ودورها الحيوي في حماية وصيانة ممتلكات الدولة وحماية شعوبها، مع التأكيد على ضرورة قيام الجيش بواجباته للحفاظ على المؤسسات الوطنية والقومية، والنهوض بالدولة إلى مصاف الدول المتقدمة. كما يوضح الكتاب ضرورة وجود جيش قوي منظم لحماية المدنيين ومواجهة التهديدات الخارجية التي تفتقر إلى الشرعية الدولية، مشددا على أن فرض أي شرعية خارجية على الدولة هو أمر مرفوض وغير مشروع.
Estimating the Causal Effect of Father Unemployment on the Propensity of Child School Dropout in Sudan
Unemployment and school dropout are two major economic problems in developing countries including Sudan. This paper estimates the causal effect of father unemployment on child school dropout using cross-section data from the National Baseline Household Survey in Sudan in 2009. We use a semi-parametric recursive bivariate probit model to control for the impact of the unobserved confounders and the endogeneity bias. Our results show that father unemployment increases child school dropout by 28 percentage points on average in the sample of all children. In rural areas, however, the impact reaches 42 percentage points. Sudan needs to make substantial reforms in the job-market regulations and structure and introduce policies related to job creation and protection. More importantly, Sudan needs to activate laws that make basic education compulsory, and to improve the education system structure.
Use of Regression Method In Prediction of Drought in Five Areas in Sudan
This paper aimed to explore the possibility of the use of logistic regression in the prediction of drought in Sudan. In this paper Regression models were used to predict drought in 5 states in Sudan. Results showed that the average prediction error for above-average and below-average years is reported for each station. Area-specific statistics are listed in Table 1. Correlations between predictions and observations range from r = −0.31 to r = −0.68, with the model performing slightly better in predicting the number of wet days in drier years. In general, however, the simple linear model displays an average absolute error ranging between 9 and 22 days.