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Information Journal Paper

Title

SPATIAL ANALYSIS AND GRADING THE EMPLOYMENT INDEXES IN IRAN’S PROVINCES (USING THE FACTOR AND CLUSTER ANALYSIS TECHNIQUES)

Pages

  361-383

Abstract

 Increasing young population and rising unemployment has led to EMPLOYMENT and related indicators of serious problems and controversial country. In conjunction with the study and research on EMPLOYMENT provinces, a variety of variables and factors involved and It seems that the lack of balance in the distribution of these variables, social inequality, economic, political and cultural between the provinces follow. Indices of EMPLOYMENT in the provinces spatial distribution of EMPLOYMENT index shows. The main purpose of this study is to clarification social inequalities of EMPLOYMENT for equal distribution of possibilities in provinces. In this paper 55 softened are used. Variables dropped to 10 by means of advanced statistics methods such as FACTOR ANALYSIS and presented in combination with meaningful factors. The importance of every factor is given too. Then the country provinces were divided into five equal classes by the CLUSTER ANALYSIS model. The research results indicate this fact that there are serious imbalances in the country. So that in terms of EMPLOYMENT Tehran province is in the first and south Khorasan province in the last place.

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References

Cite

APA: Copy

MOSAYEBI, SAMANEH, & TAGHDISI, AHMAD. (2014). SPATIAL ANALYSIS AND GRADING THE EMPLOYMENT INDEXES IN IRAN’S PROVINCES (USING THE FACTOR AND CLUSTER ANALYSIS TECHNIQUES). TOWN AND COUNTRY PLANNING, 5(2), 361-383. SID. https://sid.ir/paper/219605/en

Vancouver: Copy

MOSAYEBI SAMANEH, TAGHDISI AHMAD. SPATIAL ANALYSIS AND GRADING THE EMPLOYMENT INDEXES IN IRAN’S PROVINCES (USING THE FACTOR AND CLUSTER ANALYSIS TECHNIQUES). TOWN AND COUNTRY PLANNING[Internet]. 2014;5(2):361-383. Available from: https://sid.ir/paper/219605/en

IEEE: Copy

SAMANEH MOSAYEBI, and AHMAD TAGHDISI, “SPATIAL ANALYSIS AND GRADING THE EMPLOYMENT INDEXES IN IRAN’S PROVINCES (USING THE FACTOR AND CLUSTER ANALYSIS TECHNIQUES),” TOWN AND COUNTRY PLANNING, vol. 5, no. 2, pp. 361–383, 2014, [Online]. Available: https://sid.ir/paper/219605/en

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