هدف البحث إلى دراسة العلاقة بين متغيرات المستوى الصحي و مجموعة من المتغيرات الاقتصادية في سورية خلال الفترة (2000 – 2011)، كما هدف إلى إيجاد نموذج رياضي يوضح العلاقة بينهما باستخدام التحليل القانوني.
و تمثلت أهم نتائج البحث بالآتي:
- وجود علاقة ارتباطية قوية جداً وذات دلالة إحصائية بين متغيرات المستوى الصحي و المتغيرات الاقتصادية.
- تبين لنا نتيجة التحليل القانوني أن نصيب الفرد من الدخل القومي هو أكثر المتغيرات تأثيراً في متغيرات المستوى الصحي، يليه إجمالي الاستثمارات ، و من ثم متوسط نصيب الفرد من الناتج الإجمالي المحلي، فمعدل النشاط المنقح.
- تبين لنا نتيجة التحليل القانوني أن لمتوسط عدد السكان لكل سرير و معدل الوفيات الخام تأثيراً قوياً على المتغيرات الاقتصادية.
- توصلنا لبناء نموذج رياضي يمثل العلاقة بين متغيرات المستوى الصحي و المتغيرات الاقتصادية.
The research aims to study the relationship between the health situation variables and
a group of economic variables in Syria during the Period (2000-2011), as the research
aims to create a mathematical model that illustrates the relationship between them using
Canonical Analysis.
The most significant results as follows:
- There is a very strong and statistically significant correlation between health level
variables and economic variables.
- The result of canonical analysis shows that national income per capita is the most
influential variable in health-level variables, followed by total investments, and hence
average per capita gross domestic product, and then the revised rate of activity.
- The result of canonical analysis shows that the average population per bed and
crude mortality rate have a strong impact on economic variables.
- We have come to build a mathematical model that represents the relationship
between health level variables and economic variables.
References used
Brenner , H.M. , Mortality and the national economy. A review, and the experience of England and Wales, Lancet , Sep 15;2, 568-573
Filmer, D., Pritchett, L., The impact of public spending on health: does money matter? Social Science & Medicine, Volume 49, Issue 10, November 1999, 1309-1323
Dehon, C. , Filzmoser , P. , Croux, C. , Robust Methods for Canonical Correlation Analysis , Vienna , Austria ,2000 , 2-5
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Nom