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Puzzle of Jobless Growth and Growthless Employment: Evidences from Iranian Labor Market
, M.Sc. Thesis Sharif University of Technology ; Nili, Masoud (Supervisor) ; Joshaghani, Hossein (Supervisor)
Abstract
From 1384 to 1395, the labor market in Iran has experienced a mysterious behavior in total number of employment, which we call it puzzle of jobless growth and growthless employment. By studying only the net changes in total number of employment, some important information neglected in explaining this phenomenon. To this end, it is common in labor economics to use dynamic labor market indicators such as job flows and labor flows. In this research, we first calculate labor flows from 1384 to 1395 and job flows from 1382 to 1392 by economic sector, firm size, job classification, occupational insurance coverage, gender and job type. Then the following question will be answered: Is the...
An integrated replenishment-recruitment policy in a sustainable retailing system for deteriorating products
, Article Socio-Economic Planning Sciences ; Volume 69 , 2020 ; Sepehri, M ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Currently, retail facilities play a significant role both economically and socially for their contributions to job creation and to reducing unemployment. In this paper, economic, environmental, and social issues, including unemployment, job creation for the local workforce within their hometown, the immigration of an unemployed workforce, and the naturalization of non-natives are addressed for a retailer. We explore the class of deteriorating products from the viewpoint of its economic and environmental features. Then, a linear multi-objective mathematical model is developed to determine an integrated replenishment and recruitment policy for the retailer in the direction of sustainability....
Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran
, Article Energy ; Volume 161 , 2018 , Pages 493-507 ; 03605442 (ISSN) ; Aryanpur, V ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
This paper aims to analyze Iran's long-term power sector development from economic, environmental, social, and sustainable perspectives. For this purpose, a linear programming model is developed, which includes three objective functions: minimization of costs, minimization of CO2 emissions, and maximization of created jobs. To provide a sustainable plan, analytical hierarchy process is employed to allocate expert-based weights to the objective functions. Moreover, to support the decision-makers, Pareto-optimal alternatives are explored by varying the weights of objectives. The multi-objective model is solved by applying a weighted method based on fuzzy membership functions. The results show...