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Eurasian Academy Of Sciences Social Sciences JournalYl:2022 Say: 40 Alan: ktisat

Berrak TEKGN, Rt YAYAR
MEKNSAL LK SZL ETKLER M? TRKYEDE LLER RNE
 
sizlik, lke genelinde olduu kadar blgesel dzeylerde de bir ekonomi iin nlenmesi gereken ciddi bir problemdir. Bu almada, Trkiyede Dzey-3 kapsamnda isizlik orannn il ve il gruplanmalarnn blgesel kmelenme desenlerini incelemek ve isizlik oran zerinde etki sahibi olan parametreleri belirlemek amalanmaktadr. Bu balamda, almada meknsal ekonometrik yntem kullanlmtr. Analiz bulgularna gre seksen bir il arasnda meknsal ilikinin varl tespit edilmitir. almada aklayc deikenin meknsal dalm deseni incelenmitir ve isizlik orannn Trkiyenin Dou Anadolu ve Gney Dou Anadolu blgelerinde youn kmelenme gsterdii gzlenmitir. Bu kapsamda, yaplan test sonularna gre meknsal gecikme modeli kabul edilmitir. Modelde yer alan aklayc deikenler incelendiinde, erkeklerin i gcne katlm oran, kadnlarn i gcne katlm oran ve istihdamn tarm sektrndeki paynn isizlii azaltc ynde istatistiki olarak anlaml ve negatif ilikisi grlmtr. Eitimli nfus oran deikeninin ise isizlii azaltmada bir etkisi elde edilmemitir.

Anahtar Kelimeler: sizlik, Trkiye, Meknsal Ekonometrik Analiz, Meknsal Komuluk likileri, Meknsal Arlklandrma


DOES SPATIAL RELATIONS AFFECT UNEMPLOYMENT? EXAMPLE OF PROVINCES IN TURKEY
 
Unemployment is a serious problem that must be prevented for an economy at regional as well as national level. In this study, it is aimed to examine the regional clustering patterns of the province and province groupings of the unemployment rate within the scope of Level-3 in Turkey and to determine the parameters that have an effect on the unemployment rate. In this context, the spatial econometric method was used in the study. According to the analysis findings, the existence of a spatial relationship between eighty-one provinces was determined. In the study, the spatial distribution of the explanatory variable was examined and it was observed that the unemployment rate clustered intensively in the Eastern Anatolia and Southeastern Anatolia regions of Turkey. In this context, the spatial lag model was accepted according to the test results. When the explanatory variables in the model are examined, statistically significant and negative correlations were found between the male labor force participation rate, female labor force participation rate and the share of employment in the agricultural sector in the direction of reducing unemployment. The variable of educated population ratio did not have an effect on reducing unemployment.

Keywords: Unemployment, Turkey, Spatial Econometric Analysis, Spatial Neighborhood Relations, Spatial Weighting


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