Do Women Benefit from Global Value Chains? A Tale from the Indonesian Manufacturing Sector

Yulius Eka Agung Seputra

doi:10.63922/ijebir.v5i04.5468

Yulius Eka Agung Seputra Vocational Program Universitas Indonesia

DOI: https://doi.org/10.63922/ijebir.v5i04.5468

Keywords: Optimization, Gender Equality, Economic Growth, Genetic Algorithm

Abstract

The participation of women in global value chains has become an important topic of discussion in recent years due to its potential to promote gender equality and economic growth. However, accurately predicting the level of women's participation in these chains is a complex task that requires the consideration of various factors such as cultural norms, institutional policies, and economic conditions. This paper proposes an optimization approach based on genetic algorithms to predict the participation of women in global value chains. The proposed method is designed to identify the optimal set of factors that influence women's participation and to estimate the level of participation based on these factors. To validate the proposed approach, we apply it to a case study of a specific industry and compare its predictions with actual data. The results show that the proposed method can effectively predict women's participation in global value chains with high accuracy, which can provide valuable insights for policymakers and industry leaders to promote gender equality and economic growth. Genetic Algorithm can be used to this model with MSE (Mean Square Error) 0.011 % and MAPE (Mean Absolute percentile Error) 2.134 %.

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