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:: Volume 30, Issue 1 (9-2019) ::
مجله‌ی بررسی‌ها 2019, 30(1): 193-208 Back to browse issues page
Ranking of Iran Provinces Based on Changes in Major Labor Force Indicators in the Period 2015-2019, Using the TOPSIS Method
Saeed Reza Zarei * , Fahimeh Boroumandi
Management and Planning Organization of Fars Province
Abstract:   (3130 Views)
Increase of employment and reduction of unemployment are the most important indicators for community development. Statistical indicators derived from the implementation of the Labor Force Survey design are useful in evaluating employment policies and performances. But, it should also emphasize that using an indicator (such as the unemployment rate) alone cannot be a suitable criterion for assessing the employment performance of the provinces, so it is necessary to use a set of major indicators of labor force design; in order to achieve a complete view of executive performance of employment, realization of development plans and so on.
 In this study, the provinces of Iran are ranked based on Major Labor Force indicators during 2015 to 2019 by using TOPSIS method. The weight of these indicators is determined using the CRITIC method. Then the ranking results are compared with the ranking of provinces only based on the unemployment rate. The results show that North Khorasan, Fars and Mazandaran provinces have the desired performance during this period.
Keywords: Ranking of provinces, unemployment rate, labor force survey design, TOPSIS method and CRITIC weighting method.
Full-Text [PDF 248 kb]   (1010 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2020/01/21 | Accepted: 2020/10/6 | Published: 2019/09/22
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Zarei S R, Boroumandi F. Ranking of Iran Provinces Based on Changes in Major Labor Force Indicators in the Period 2015-2019, Using the TOPSIS Method. مجله‌ی بررسی‌ها 2019; 30 (1) :193-208
URL: http://ijoss.srtc.ac.ir/article-1-328-en.html


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Volume 30, Issue 1 (9-2019) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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