Görüntüleme
20
İndirme
3
Ekonomik büyüme ile doğru orantılı olan dış ticaret ve istihdam ilişkisinin incelendiği bu çalışmada, amaç istihdam üzerinde ithalat ve ihracat etkisini komşuluk ilişkilerinin dâhil edilerek araştırılmasıdır. Çalışmada, Türkiye 81 iline ait 4a, 4b ve 4c sigortalı sayısı istihdam değişkeni olarak ele alınırken yıllık ithalat, ihracat ve nüfus değerleri bağımsız değişken olarak kullanılmış ve 2009-2020 dönemi incelenmiştir. Komşuluk ilişkilerinin de etkisini dâhil eden mekânsal ekonometri uygulaması kullanılarak mekânsal Durbin, mekânsal gecikmeli ve mekânsal hata modeli olmak üzere üç başlık altında analizler yapılmıştır. Modeller Maksimum Olabilirlik (ML) yöntemi kullanılarak tahmin edilmiştir. Çalışmada iller arasındaki istihdam oranlarındaki yakınsamayı incelemek için Moran’s I endeksi hesaplanmıştır. Mekânsal model sonuçlarına göre ihracatın istihdam ile ters yönde anlamlı bir ilişkisinin olduğu belirlenirken nüfus değişkeninin istihdam ile aynı yönde anlamlı bir ilişkiye sahip olduğu görülmüştür. İthalat değişkeninin istihdam üzerinde anlamlı bir etkisi tespit edilememiştir. Komşu illerin değişkenleri incelendiğinde ithalat ve istihdam değişkenlerinin anlamlı olduğu sonucuna ulaşılmıştır.
In this study, where the relationship between foreign trade and employment, which is properly proportional to economic growth, is studied, the aim is to investigate the impact of imports and exports on employment, including neighbourhood relations. In the study, the number of insured 4a, 4b and 4c of 81 provinces of Turkey was treated as employment variable while the annual import, export and population values were used as independent variables and the period 2009-2020 was studied. With the use of the spatial econometric application that also involves the impact of neighborhood relationships, the analysis was carried out under three titles, the spatial Durbin, the spatial delay and the spatial error model. Models are predicted using the Maximum Probability (ML) method. The Moran's I index was calculated to study the proximity of employment rates between the provinces. The local model results show that exports have a meaningful relationship with employment in the opposite direction, while the population variable has a meaningful relationship with employment in the same direction. There is no significant impact of the import variable on employment. When examined the variables of neighboring provinces, the conclusion was that import and employment variables were meaningful.
In this study, which examines the relationship between foreign trade and employment, which is directly proportional to economic growth, the aim is to investigate the effect of import and export on employment by including neighborhood relations. In the study, while the number of insured 4a, 4b and 4c in Turkey's 81 provinces is considered as employment variable, annual import, export and population values are also considered as independent variables and the period of 2009-2020 is examined. Using the spatial econometrics application, which also includes the effect of neighborhood relations, remarkable results were obtained in the study, which was examined under three headings: spatial Durbin, spatial autoregressive and spatial error model. Models were estimated using the Maximum Likelihood (ML) method. In the study, Moran's I index was calculated to examine the convergence in employment rates between provinces. According to the model results, it was determined that there is a significant inverse relationship between exports and employment. Population variable, on the other hand, was found to have a significant relationship in the same direction with employment. A significant effect of the import variable could not be determined. When the variables of neighboring provinces were examined, it was concluded that the variables of import and employment were significant.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Uluslararası
Makale Detay 
Benzer Makaleler
PDF Görüntüle
Dergi Bilgisi
Eseri Dinleyin
Alıntı Yap
Bu Sayfayı Yazdırın
Paylaş
Mendeley
