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Register a new userAnalysis of migration from the area of Jabal al- Hoss using some econometric techniques
تحليل الهجرة من منطقة جبل الحص باستخدام بعض تقنيات الاقتصاد القياسي
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Damascus University ورقة بحثية
Publication date
2012
fields
Agrarian Economy
and research's language is
العربية
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Shamra Editor
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يقدم هذا البحث تحليلاً لأهم العوامل التي تدفع المهاجرين من منطقة جبل الحص في محافظـة حلـب باتجاهات مختلفة عند اختيارهم لوجهتهم و العمل الذي يقومون به، و كيف تؤثر وجهة الهجـرة و طبيعـة عمل المهاجر في كمية التحويلات المالية التي يرسلها إلى أسرته. كما يبرز البحـث أهميـة الخـصائص الفردية و الأسرية و المجتمعية للمهاجر و لاسيما أن منطقة الدراسة تعد من المناطق الجافة و الهامشية فـي سورية التي هي فقيرة بالموارد الطبيعية و البشرية. باستخدام أساليب الاقتـصاد القياسـي فـي التحليـل (نماذج الانحدار اللوجستي و الانحدار المتعدد)، أظهرت النتائج أن احتمال الهجرة خارج سورية يزداد لدى الذكور و الأفراد الأصغر عمراً و الأكثر تعليماً و ممن ينحدرون من أسرة أكثر فقراً، و أكبر عدداً، كمـا وجـد أن احتمال عمل المهاجر في القطاع الزراعي يزداد لدى المهاجرين مـن الإنـاث، و مـن ذوي المـستوى التعليمي المنخفض. و تبين أن كمية التحويلات المالية المرسلة إلى أسر المهاجرين زادت إذا كانت الهجرة خارجية و عمل المهاجر بغير الزراعة، و كلما كانت الأسرة أكثر فقراً و أكبر عدداً.
This paper presented an analysis of the most important factors that drive immigrants from the area of Jabal al-Hoss in the province of Aleppo to different directions searched for employment and how they affect migration destination and the nature of the work on the amount of migrant remittances to his family. The research also highlighted the importance of individual characteristics, family and community of immigrants, especially since the study area was considered one of the dry and marginal areas in Syria, poor in natural and human resources using the methods of econometric analysis (models logistic regression and multiple regressions). Results showed that the probability of migration out of Syria was getting the male immigrants and individuals younger and more educated and those who were descended from the family even poorer, and the largest number, also found that the likelihood of working immigrant in the agricultural sector increased immigrants from females, and those with a low educational level. There was also an evidence that the amount of remittances sent to families of migrants increased if migrant worked in non-agricultural sector, and as the family was much poorer and more numerous.
References used
Cameron A. C. and P. K. Trivedi. 2009. Microeconometrics using stata. Texas: Stata Press Publications, StataCorp LP
Ezra M. and G. Kiros. 2001. Rural Out-Migration in the drought prone areas of ethiopia: A “Multilevel Analysis”. International Migration Review, 35( 3): 749-771
Gujarati, D. 1999. Essentials of econometrics. Second Edition. McGraw-Hill Companies, Inc
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The study was conducted during 2012-2013 to determine the impact of the
microfinance program of the Rural Community Development Project in
improving the performance of Awassi sheep of smallholders and their income
in the region of Jabal al-Hoss –
Aleppo. 215 of Awassi sheep breeders who had
benefited from the microfinance Sanduqe at least twice during 2007 - 2010 and
56 of non beneficiary - breeders (control sample) were selected randomly
basing on database available in the project. Information regarding social،
educational and animal production descriptive status was collected on the
ground (personal interview) by a questionnaire prepared for this purpose and
on the desktop official institutions. Descriptive and quantitative obtained data
were determined using SPSS Ver.18. Statistical analysis indicated that the
benefit from the loans helped significantly (P<0.05) to increase the twining rate
and reduce mortality rate and incidence of abortion in flocks of beneficiaries,
but did not significantly affect the length of suckling period and the weight of
lambs at birth and during the subsequent stages of growth. The finance had
also contributed significantly in reducing the average total cost of the disease in
flocks of beneficiaries, contributed to increase the herd size by about 36.8, in
the level of access to veterinary services by about 21%, in coverage the daily
consumption by12.6% and an increase in labor running at about 4.5%.
Financial and non-financial services helped to improve the average milk
productivity of beneficial flocks by about 20.5 kg/ season / head which reflected
positively to increase the annual income of beneficiaries by 8000 Syrian Pounds.
To carry out this study, 12 soil profiles were selected and prepared, and soil
samples were collected from the different horizons (surface, subsurface, and C
horizon) in each profile. The results of the analyzed samples indicate that,
topographica
l factors plays an important role in determining some feature,
such as, the depth of the profile, texture, distribution of CaCO3 and the process
of swelling and the shrinking. Concerning the soil fertility, the study showed
that the soil content of microelements is ranging between moderate to low, thus
may be related to the mineralogical composition of the parent material,
weathering status, and to the use of these elements by the plants during the long
lasting exploitation of these soil without any restitution of these element. The
results indicate as well, the decrease of these elements with decreasing
elevation, i.e from the slop to the plain, this probably due to the relation
between the leaching process and topographical position, and to lesser extend to
the (pH) of the soil.
Optimum Index Factor (OIF) technique of statical analysis is fusion with Decision Tree Classification (DTC) method in determine the spectral critical value for separation the features in the image processing programs, and the architecture of this app
roach is designed for accuracy extracting the area and distribution urban from space image. Accuracy assessment of that approach is tested by comparing the supervised classification results for these feature from both the original bands of image and synthetical bands/indices of the image upon OIF value. Applied results of the approach on certain district represent the north Swaidaa city by Quick Bird image are: 98% for the suggested approach opposite 93% for supervised classification method of the synthetical bands image and 82% for original bands image. Accuracy of the approach is derived from exact separation the urban feature than similar spectrally objects in the image as basalt exposures and roads, where achievement of the other processing methods are less.
This study aimed to describe the water erosion modeling in Daher Aljabal
and its surrounding areas in Al-Sowaida Governorate based on GIA and RS.
The water erosion risk map was obtained by applying GIS model developed on
the basis of ten factors i
nfluencing the erosion process. GIS layers were built
for every factor. The weights for all factors were added together. Based on sum
of these factors, water erosion was divided into six erosion risk levels. Results
showed that 12% of the study area was classified in levels 5 and 6, which reflect
high and very high water erosion risks. Land topography was the main factor
in water soil erosion. Terraces are effective ways to decrease the water soil
erodability. Results also showed that GIS and RS were powerful tools in water
erosion risk assessment mapping.
This study aims at determining the Characteristics of the Flora of Jabal
Abdel Aziz. Floristic surveys had been made in 60 sites in Jabal Abdel Aziz
during the years 2001, 2002. About 900 specimens of plants were collected. All
these specimens hav
e been identified according to the local floras (Mouterd, P.
1966,1970,1984, Townsend, C.C.& Guest, E. 1985, Zohary, M.1972). A list of
the plant species in the Jabal was prepared. This study showed the presence of
407 plant species in the Jabal, of which 242 species are identified for the first
time. Most of these plants are Mediterranean or Iranian elements. There is 16
endemic species in the Jabal Abdel Aziz.
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