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Register a new userStudy of the most important economic and social factors affecting the adoption of water collective management in Al- Ghab basin farms using binary logistic regression
دراسة أهم العوامل الاقتصادية و الاجتماعية المؤثرة على تبني نظام الري الجماعي في مزارع حوض الغاب باستخدام أسلوب الانحدار الاحتمالي الثنائي
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Aِl-Baath University ورقة بحثية
Publication date
2017
fields
Agrarian Economy
and research's language is
العربية
Authors
محمد المقداد( باحث )
Created by
Shamra Editor
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هدف البحث إلى دراسة أثر أهم العوامل الاقتصادية و الاجتماعية على تبني أنظمة الزراعة الحديثة ممثلة بأسلوب الري الجماعي في منطقة حوض الغاب في سورية، و ذلك باستخدام أسلوب الانحدار الاحتمالي الثنائي، حيث أن المتغير التابع هو متغير ثنائي يأخذ القيمة 1 (استخدام أسلوب الري الجماعي)، و القيمة 0 (عدم استخدام أسلوب الري الجماعي) ، و يتأثر بنوعين من المتغيرات المستقلة ( فئوية و مستمرة ).
The research aimed at studying the impact of the most important economic and social factors affecting the adoption of new irrigation techniques، namely water collective management in ALGhab basin in Syria .The research accomplished by taking a simple random sample of 264 farmers .Because of the nature of dependent variable which is dichotomous ،(1= adoption of water collective management،0=otherwise)،The binary logistic regression was used.
References used
GLENN. D 1992 - Sampling The Evidence of Extension Program Impact. IFAS، University of Florida. PEOD-5. October
Hosmer .D.W. Lemeshow،S. and Klor ،J.1998- Goodness of fit testing for the logistic model when the estimated probabilities are small .pp.456-465
Brown،C.E.1998-Applied Multivariate statistics in Geohydrology and related sciences Springer-verlag . Berlin Heidelberg.Chapter 6 ،multiple regression،pp.62-66
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The research was conducted at Al- Hassaka province during the 2010 - 2011
season to study socio-economic factors and other factors affecting the decision
of wheat farmers to adopt the technology of modern irrigation and to identify
the barriers th
at limit the adoption of these techniques. Correlation and binary
logistic regression was applied for data analysis.
The results showed that 77.78% of the total farmers studied were using
modern irrigation to irrigate their wheat crops and the rest were using
traditional irrigation and this percentage is expected to increase from 77.78%
in 2010 to 95% in 2025 with an annual rate of nearly 1.15%. Sprinkler
irrigation adopted by larger percentage (63.33%) of farmers who adopted
modern irrigation techniques and followed by the developed surface irrigation
on lines (11.11%). It was observed that the high cost of the network played a
fundamental role in the lack of 42.55% of farmers to adopt modern irrigations
Statistical analysis showed that there was an inverse significant relationship
between each of independent variables (percentage of farming labor force to
total family labor force, farmer's experience) and the dependant variable
adoption of modern irrigation techniques but there was a positive significant
relationship between adoption of modern irrigation and other independent
variables such as, cereals yield, farmers education level and direction of the
farmer towards the agricultural extension.
This study aimed at identifying the best indicators representing economic factors
using Factor Analysis, as well as developing a mathematical model linking principal
components which represent both the economic factors and consumer spending in Syri
a
using Multi-linear regression analysis. A descriptive analytical approach is used in this
study.
The study results from Factor Analysis show that there are three principal
components which best represent the economic factors. The first component includes: the
number of workforce working for free, the number of paid workforce, consumer price
index, the average annual GDP per capita. The second component includes: interest rate,
self-employed workforce. The third component includes the number of employers.
A mathematical model is developed to link the above three components of the
economic factors and the total monthly household spending average in Syria during (
2000-2010).
The aim of this study was to evaluate the affecting factors of
Buffalo milk production in Al- Ghab Plain. The data were
collected according to the farmers during the season of 2009-2010.
The effect of parturition season, dry period and calving int
erval
were studied. The results showed that the mean milk production
was 934,96 kg with 8.1% fat and 4.85% protein. The lactation
period was 180-240 days, the dry period was 120-180 days and the calving interval mean was 420 days. Our results indicated that the quantity of buffalo milk in Syria was low because of the short
lactation period, the long dry period and the long calving interval.
But it could be possible to improve the buffalo milk production by
the better rasing conditions and genetic improvement.
The objective of this research is applying Factor Analysis for Studying the most
important economic factors affecting the number of employees within period 2000 till
2009 in Syria, to propose a methodological framework for constructing the integrat
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factor analysis model system (FAMS) that can be used as a decision support tool in
employment year examination and supervision process for detection of years, which are
experiencing serious problems. Sample and variable set of the study contains 17 economic
variables.
Study years (10 years during the period 2000–2009) and their economic variables.
Well known multivariate statistical technique (principal component analysis), was used to
explore the basic economic characteristics of the theses years, and discriminant models
were estimated based on these characteristics to construct FAMS. The importance of factor
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Results of the study show that, if FAMS was effectively employed within studied
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The design of milking spaces, which are called Mahlab, is considered as the main factor for many
experts in agricultural engineering and animal production. The main aim is to determine the optimum
parlour milking with highest production and little
stress, whereas the parlour milking is considered as the
most important design factor in the barn because it is Influences getting the milk in cattle productivity
farms.
According to the importance of milk production, which effects on the local production and economy, this
paper treats with the most effective factors in the design of parlour milking in cattle farms, in order to be
suitable for dairy cattle production by considering its numbers, its movement and its suitable space. So,
this reflects its impacts on the level of production, in addition it shows the most important type of parlour
milking in the world that reflects the advantages and disadvantages that determine the type and size of
required parlour milking and its location and relationship with the cattle barn.
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