{"title":"An Econometric Analysis on Factors Affecting Intra-Industry Trade in Turkish Automotive Industry","authors":"Ömer Doru, Örsan Özer","doi":"10.20990/kilisiibfakademik.1160045","DOIUrl":null,"url":null,"abstract":"Purpose: It is to empirically examine the factors affecting intra-industry trade in the automotive sector between Turkey and 24 OECD member trade partners.\nDesign/Methodology: The determinants of intra-industry trade were tested with panel data analysis in the automotive sector. As a result of the test carried out to determine the model, regression analysis was performed with the Driscoll-Kraay standard error estimation method.\nFindings: The variables market size, development level, and trade openness have a positive impact on intra-industrial trade, while the variables market size difference, income inequality, and geographical distance have a reverse impact on intra-industry trade.\nLimitations: Export and import data for 2003–2019 are used in international trade figures in the 3-digit Standard International Trade Classification, SITC Revision-3.\nOriginality/Value: Empirical application on the factors affecting intra-industry trade in the Turkish automotive sector is considered to be important and different in terms of subject.","PeriodicalId":101849,"journal":{"name":"Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20990/kilisiibfakademik.1160045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: It is to empirically examine the factors affecting intra-industry trade in the automotive sector between Turkey and 24 OECD member trade partners.
Design/Methodology: The determinants of intra-industry trade were tested with panel data analysis in the automotive sector. As a result of the test carried out to determine the model, regression analysis was performed with the Driscoll-Kraay standard error estimation method.
Findings: The variables market size, development level, and trade openness have a positive impact on intra-industrial trade, while the variables market size difference, income inequality, and geographical distance have a reverse impact on intra-industry trade.
Limitations: Export and import data for 2003–2019 are used in international trade figures in the 3-digit Standard International Trade Classification, SITC Revision-3.
Originality/Value: Empirical application on the factors affecting intra-industry trade in the Turkish automotive sector is considered to be important and different in terms of subject.