{"title":"The Impact of Syrian Refugees on the Turkish Labor Market","authors":"H. Işıksal, A. Isiksal, Yossi Apeji","doi":"10.18775/ijom.2757-0509.2020.11.4003","DOIUrl":null,"url":null,"abstract":"The civil war in Syria has destabilized the whole Middle East along with neighboring regions. In this respect, the impact of Syrian refugees on Turkish labor market is one of the most important contemporary issues discussed in Turkey. This issue has both political and economic significance. Deriving from this point, the aim of this study is to research the empirical relationship between the Labor Market Indicator (LMI) and the growing number of Syrian Refugees in Turkey (RS) by using time series analysis. The data employs monthly data for the period from January 2012 to August 2017. Results of the ARDL bounds test suggest that the Labor Market Indicator and the number of Syrian Refugees are in a long-run relationship. The Gregory-Hansen cointegration test with a structural break confirms the robustness of the ARDL bounds test of cointegration. The Kalman filtering approach was designed to investigate the dynamic relationship between the Labor Market Indicators and the growing number of Syrian Refugees. The results show that the increase in the number of Syrian refugees negatively affects the Labor Market Indicator in Turkey, which implies that the inflow of Syrians has negative effects on labor market outcomes such as employment and unemployment in the country. These results also confirm the postulation of general labor migration theory, which holds that an influx of refugees negatively affects labor market outcomes in the harboring country.","PeriodicalId":38027,"journal":{"name":"International Journal of Advanced Operations Management","volume":"159 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18775/ijom.2757-0509.2020.11.4003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 33
Abstract
The civil war in Syria has destabilized the whole Middle East along with neighboring regions. In this respect, the impact of Syrian refugees on Turkish labor market is one of the most important contemporary issues discussed in Turkey. This issue has both political and economic significance. Deriving from this point, the aim of this study is to research the empirical relationship between the Labor Market Indicator (LMI) and the growing number of Syrian Refugees in Turkey (RS) by using time series analysis. The data employs monthly data for the period from January 2012 to August 2017. Results of the ARDL bounds test suggest that the Labor Market Indicator and the number of Syrian Refugees are in a long-run relationship. The Gregory-Hansen cointegration test with a structural break confirms the robustness of the ARDL bounds test of cointegration. The Kalman filtering approach was designed to investigate the dynamic relationship between the Labor Market Indicators and the growing number of Syrian Refugees. The results show that the increase in the number of Syrian refugees negatively affects the Labor Market Indicator in Turkey, which implies that the inflow of Syrians has negative effects on labor market outcomes such as employment and unemployment in the country. These results also confirm the postulation of general labor migration theory, which holds that an influx of refugees negatively affects labor market outcomes in the harboring country.
期刊介绍:
In today''s complex, global economy, the operations function is critical to business success. All organisations have an operations function that helps them run efficiently and productively. IJAOM is a peer reviewed international journal which publishes original, high-quality and cutting-edge research on all aspects of advanced operations management, aiming at bridging the gap between theory and practice with applications analysing the real situation. Topics covered include -Global operations management, lean/agile operations -Knowledge, service, demand and R&D management -Scheduling, sequencing, vehicle routing -Inventory management and co-ordination -Multi-objective optimisation; TQM and six sigma practices -Business process outsourcing -Aggregate planning, ERP, JIT -Performance measurement -Cultural, environmental and implementation issues -Logistics service performance, supply chain management -Product planning, lot sizing, MPS, MRP -Repetitive manufacturing and service operations -Project and technology management, network management -Modelling and simulation, decision analysis/making -Comparison of operations management in different countries