Araştırma Makalesi

Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye'de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi

Cilt: 7 Sayı: 1 15 Nisan 2023
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Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye'de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi

Öz

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.

Anahtar Kelimeler

Destekleyen Kurum

Herhangi bir kurum desteği alınmamaktadır.

Teşekkür

Herhangi bir teşekkür yazım bulunmamaktadır.

Kaynakça

  1. Aksöz Yılmaz, H. (2021). Panel Data Model Analysis on the Relationship Between Export and Employment: The Case of OECD Countries. Journal of Economic Policy Researches, 8(2), 115-139.
  2. Anselin, L. (1988). Spatial Econometrics Methods and Models. Dordrecht: Kluwer Academic Publishers.
  3. Anselin, L. (2001). Spatial Econometrics. Baltagi. B. H. (Eds.), a Companion to Theoretical Econometrics. Oxford: Blackwell Scientific Publications.
  4. Anselin, L. (2003). Spatial Externalities, Spatial Multipliers and Spatial Econometrics. International Regional Science Review, 26(2), 153–166.
  5. Anselin, L. and Bera, A. K. (1998). Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics, Handbook of Applied Economic Statistics, 237-289.
  6. Anselin, L. and Hudak, S. (1992). Spatial Econometrics in Practice: A Review of Software Options. Regional Science and Urban Economics, 22(3), 509-536.
  7. Anselin, L. and Rey, S. J. (2010). Advances in Spatial Science, Perspectives on Spatial Data Analysis, Springer-Verlag.
  8. Anselin, L., Le Gallo, J. and Jayet, H. (2008). Spatial Panel Econometrics. Matyas. L. and Sevestre. P. (Eds.), the Econometrics of Panel Data. Fundamentals and Recent Developments in Theory and Practice, (pp: 901-969), Kluwer, Dordrecht.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Ekonomi

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Nisan 2023

Gönderilme Tarihi

23 Kasım 2022

Kabul Tarihi

16 Mart 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 7 Sayı: 1

Kaynak Göster

APA
Elmalı, K. (2023). Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi. Uluslararası Ekonomi İşletme ve Politika Dergisi, 7(1), 42-57. https://doi.org/10.29216/ueip.1208996
AMA
1.Elmalı K. Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi. UEİP. 2023;7(1):42-57. doi:10.29216/ueip.1208996
Chicago
Elmalı, Kübra. 2023. “Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi”. Uluslararası Ekonomi İşletme ve Politika Dergisi 7 (1): 42-57. https://doi.org/10.29216/ueip.1208996.
EndNote
Elmalı K (01 Nisan 2023) Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi. Uluslararası Ekonomi İşletme ve Politika Dergisi 7 1 42–57.
IEEE
[1]K. Elmalı, “Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi”, UEİP, c. 7, sy 1, ss. 42–57, Nis. 2023, doi: 10.29216/ueip.1208996.
ISNAD
Elmalı, Kübra. “Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi”. Uluslararası Ekonomi İşletme ve Politika Dergisi 7/1 (01 Nisan 2023): 42-57. https://doi.org/10.29216/ueip.1208996.
JAMA
1.Elmalı K. Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi. UEİP. 2023;7:42–57.
MLA
Elmalı, Kübra. “Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi”. Uluslararası Ekonomi İşletme ve Politika Dergisi, c. 7, sy 1, Nisan 2023, ss. 42-57, doi:10.29216/ueip.1208996.
Vancouver
1.Kübra Elmalı. Determining the Effect of Foreign Trade On Employment in Turkey with Spatial Panel Data Analysis / Türkiye’de Dış Ticaretin İstihdam Üzerinde Etkisinin Mekânsal Panel Veri Analizi İle Belirlenmesi. UEİP. 01 Nisan 2023;7(1):42-57. doi:10.29216/ueip.1208996

Cited By

Uluslararası Ekonomi, İşletme ve Politika Dergisi

Recep Tayyip Erdoğan Üniversitesi
İktisadi ve İdari Bilimler Fakültesi
İktisat Bölümü
Rize/ TÜRKİYE