The brain drain emerged as a phenomenon in the Sudan in the early 1970's when a change in the political system was followed by a change in the economic situation. The oil price increases created a dynamic process that led to attractive employment conditions in the petroleum producing countries such as Saudi Arabia and to depressed economic conditions in the developing countries like the Sudan. The purposes of the study are to (a) obtain information on the Sudanese professionals working in Saudi Arabia, (b) determine what major factors influence their migration, and (c) to develop policy recommendations on the flow of migration from the Sudan. The population of this study were Sudanese professionals living in Saudi Arabia. Data were generated through surveying a sample of 300 subjects selected randomly from the defined population. A survey questionnaire based on the research questions was developed for this study. Data from 263 respondents were analyzed. The findings of the study suggest that the majority of the Sudanese professionals working in Saudi Arabia are male, between 30 to 40 years of age. They have many years of experience and a high level of qualifications. The factors that led to their migration are: (a) high cost of living in the Sudan, (b) low salary, (c) money shortage, (d) high cost of housing, (e) little opportunity for advancement, and (f) shortage of basic necessities. It is realized that migration has costs and benefits for the Sudan. Government policies should be directed to maximize the benefits and minimize the costs. It is recommended that the government should adopt policies to regulate migration and assure the Sudanese expatriates of the efficient execution of these policies, attract their remittances through exemption and facilities, and work toward eliminating or reducing the causes of migration.
The problem of this study was to assess the concerns and locus of control of black women enrolled in an urban community college district and to answer the following question. What is the relationship between each of those concerns and locus of control and each of the following demographic data: current hourly enrollment, number of college credits earned, age, marital status, number of dependent children, age of youngest child, estimated total annual income, and time of day of classes (whether the majority of their classes are during the day, at night, on Saturdays, any combination of the three or mostly telecourses)?
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