أثر النشاط الصناعي على استيعاب ظاهرة البطالة في محافظة ديالى للمدة (2010-2015)‎ م

الملخص EN

It is confirmed by several studies that the statistical reports of the ministry of planning and the central statistical bureau in industrial statistics that the range of unemployment raise in Diyala governorate increasingly.

That is because the unnatural circumstances at this governorate along the last decade which causes the stopping of most industrial foundations specifically the small, middle, and big ones.

These projects played an important and prominent role in the economic and social activities through reducing exacerbation of unemployment problem and exploit as much as possible of the untapped energies.

These projects did not able to staff all the idle labors where the number of labors in varied industrial activities were (213476) workers.

The whole numbers of the registered unemployed individuals in operating center (73299) thousand people, (41815) of them were employed during (2010-2015).

As this research states, it is found that the center of Baquba gains number one with percentage of (22.

32) in terms of the number of employees, unemployed, expected chances of work now and in future as well as the number of industrial foundations as follows (2853, 4628, 1034, 123).

Then, Al-Muqdadia province comes second where the range of male and female in urban and rural areas in 2010 (28.1), where they were as follows in 2015.

the males (11.7) and the females (12.5).

So, it is clear that the number of registered unemployed people for 2010 were (11375) workers where as the number of operated workers (10787) workers.

In 2015, it is registered (11567) unemployed workers and (5886) operated workers respectively.

This paper discusses the impact of industrial activity on staffing the unemployment and its reflections on the economic and social development, what exists in the governorate such as the industrial foundations that have a role in the development of large, middle and small industries structure and to its branches according to the international classification and its geographical separation on the cities and provinces, and the statistical studies.

This all happen by using the regression technique through (SPSS) programme and some statistical equations such as the equation of industrial site, the proportion of industrial transfer of the unemployment transformation in the governorates' provinces, concentration coefficient and the re-partition coefficient for industries and the industrial situations that are related to the industrial foundations.