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Journal : West Science Interdisciplinary Studies

Analysis of The Transformation of The District Economic System in Riau Province Desi Damaiyanti; Harlen Harlen; Any Widayatsari
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.979

Abstract

This research aims to look at the economic structure transformation in each district in Riau Province. The method used is analyzing competitive advantage and specialization of Esteban Marquillass and Klassen typology. From the results of processing, it is known that agriculture, forestry, and fisheries are superior sectors, have competitiveness, and are specialized in 6 districts in Riau, namely Indragiri Hulu (Inhu), Kampar, Indragiri Hilir (Inhil), Pelalawan, Kuantan Singingi (Kuansing), and Rokan Hulu (Rohul). The manufacturing industry is a superior sector that has competitiveness and specialization in Dumai City, and the trade sector is a sector that has a competitive advantage and specialization in Pekanbaru City. Meanwhile, no single industry has a competitive advantage and specialization in 4 other districts (Siak, Bengkalis, Rokan Hilir, and Kepulauan Meranti). Processing results with the Klassen typology show that the agricultural industry in Kuansing, Inhu, and Kampar Regencies, which 2012 was developing, will shift to become a mainstay sector in 2022. In contrast, in Bengkalis, Pekanbaru, and Dumai Regencies, this sector is still one of the lagging economic sectors.
Application of The Blinder-Oaxaca Decomposition Method to Analyze The Unemployment Gap Between Gender in Riau Province in 2022 Puji Wahyu Widayati; Harlen Harlen; Yusni Maulida
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1007

Abstract

Gender equality is one of the goals of SDG, so every country needs to make efforts so that gender equality can be realized. Gender inequality is calculated using the Gender Inequality Index (GII). One of the components in preparing the Gender Inequality Index is labor force participation rate. Within the population included in the labor force, some people are employed and unemployed. In this study, gender inequality in terms of unemployment will be calculated using Blinder-Oaxaca decomposition with three calculation stages. The first is probit regression analysis, the second is marginal effects and the third is Oaxaca blinder decomposition. The results of the probit regression analysis show that all observed independent variables significantly effect on unemployment for both men and women. Meanwhile, the marginal effect results show that this variable’s influence is quite small, only 0.1 - 2 percent. The results of Oaxaca blinder decomposition show that the inequality between male and female unemployment is 1.42%, of which 29.88% is influenced by, observed factors and unobserved factors influence the remaining. There are only three variables that influence the gender gap, namely marital status, number of household members and household income 70.12%.