Effect of Economic Complexity on Unemployment in Terms of Gender: Evidence from BEM Economies Cover Image

Effect of Economic Complexity on Unemployment in Terms of Gender: Evidence from BEM Economies
Effect of Economic Complexity on Unemployment in Terms of Gender: Evidence from BEM Economies

Author(s): Semanur Soyyiğit, Seda Bayrakdar, Cüneyt Kılıç
Subject(s): Gender Studies, Labor relations, Socio-Economic Research
Published by: Vysoká škola ekonomická v Praze
Keywords: Economic complexity; unemployment rate; export sophistication; structural transformation; panel data analysis; gender equality;

Summary/Abstract: The present study aims to indicate whether structural transformation has provided enhancement for the disadvantaged parts of society in terms of gender or whether it has been implemented at the expense of social inequalities in 10 BEM (Big Emerging Market) economies (Argentina, Brazil, China, India, Indonesia, Mexico, Poland, South Africa, South Korea and Türkiye) in the period 1998–2019. The study also aims to understand the dynamics behind the connection between structural transformation and unemployment by comparing the results from each country. This paper also focuses on the effects of economic complexity on the breakdown of unemployment rates including female, male, youth female and youth male unemployment divisions. In the study, firstly, cross-sectional dependence is tested for all variables; secondly, the CADF test as a secondgeneration unit root test is applied; thirdly, the parameter constancy test is applied to each model, and then the models are estimated using the panel regression method with random coefficients. The study reveals a geographical distinction between the ten economies. Economic complexity significantly affects all types of unemployment in Poland, but it does not affect unemployment in Asian and African countries. The other result of the study is that even in Poland, the decreasing effect of ECI (Economic Complexity Index) on unemployment is different for women and men.

  • Issue Year: 71/2023
  • Issue No: 3
  • Page Range: 342-365
  • Page Count: 24
  • Language: English