دكتوراه: الواقع الجغرافي للهجرة الوافدة وأثرها في التنمية لمحافظة كربلاء للمدة (1987 - 2018م)

كوكب الجغرافيا مارس 12, 2020 مارس 12, 2020
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الواقع الجغرافي للهجرة الوافدة وأثرها في التنمية


لمحافظة كربلاء للمدة (1987 - 2018م)




أطروحة دكتوراه تقدم بها الطالب

حيدر محمد زعير إبراهيم الكريطي


إلى مجلس كلية التربية ابن رشد للعلوم الإنسانية/ جامعة بغداد

وهي جزء من متطلبات نيل درجة الدكتوراه فلسفة في الجغرافية


بإشراف

الأستاذ الدكتور

صلاح داود سلمان


1440هـ - 2019م





















Abstract 

  The number of immigrants in Karbala Governorate varied throught the year of study from 1987 till 2018, the number of immigrants to the province of Karbala in 1987 reached 130436 people, Basra province was the on top of the list among the cities that sent immigrants to Karbala. In 1997, the number of arrivals reached 121709 people, in 2007, 56677 people came to live in Karbala province. In 2017, the number of arrivals reached 58123 people. While In 2018, the researcher used (1500) samples, A questionnaire was distributed randomly across the province of Karbala according to the percentage of households in the province. The number non-Karbalaie-families (people from outside Karbala province) reached 1280 families distributed all over the province.

  These large numbers of migrants greatly affected the development of Karbala province. Through this thorough study and by using statistical methods i.e. Pearson correlation coefficient i.e. linear and multiple regression, and standard scores, with the help of social statistical science (spss), the researcher found that there is an actual statistical relationship between migration and development indicators. The degree of correlation between (Y) the number of immigrants and (x1) indicator of population growth in the category of less than ten years (** 0.99), which is a real apparent relationship i.e. the greater the number of immigrants the more the population within this population-category. Likewise, the 10-45 year age group will increase dramatically as a result of immigration, the degree of correlation with (Y) (** 0.99) is the same as the degree of correlation (x1). The number of immigrants (Y) was also correlated with (x4) the marriage in correlation with an inverse relationship reached up to (0.039 **) i.e. the higher the number of immigrants, the fewer marriages, as for the social indicators, (y) has a statistical relationship between (y) and (x1) education, (x2) health services and (x3) water services (x4) Likewise for (y) with the economic indicators (x1) income, (x2) unemployment and (x3) poverty, as it was linked to a direct relationship as the phenomenon of rising migration and the deterioration of development indicators in the province.


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