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GVC involvement and the gender wage gap: Micro-evidence on European countries

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  • Nikulin, Dagmara
  • Wolszczak-Derlacz, Joanna

Abstract

We examine linkages between involvement in global value chains (GVCs) and gender wage inequalities. We use merged data from Structure of Earnings Survey and the World Input Output Database covering 18 European countries. We employ information on employees’ personal and company characteristics and a sectoral involvement in GVCs. In general, the wages of workers from sectors more involved in GVCs are lower. However, the relationship between GVC and wages differs according to gender: women are more affected by the negative impact of greater trade involvement than men. There is some education/skill heterogeneity: workers with a medium level of education and medium skills are most affected. Our results show different patterns for concentrated and competitive industries: a greater female wage penalty due to GVC intensification is observed in less competitive sectors. Finally, using the RIF decomposition we differentiate GWG into explained and unexplained part with GVC being responsible for the latter.

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  • Nikulin, Dagmara & Wolszczak-Derlacz, Joanna, 2022. "GVC involvement and the gender wage gap: Micro-evidence on European countries," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 268-282.
    • Handle: RePEc:eee:streco:v:63:y:2022:i:c:p:268-282
    DOI: 10.1016/j.strueco.2022.10.002
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    2. Jiang, Xuemei & Zhao, Changjin & Ouyang, Jin & Shen, Meng, 2023. "Integration in the global value chain, structural change, and the widening gender employment gap in China," China Economic Review, Elsevier, vol. 81(C).
    3. Bataka, Hodabalo, 2024. "Global value chains participation and gender inequalities in Sub-Saharan Africa: Importance of women education," International Economics, Elsevier, vol. 178(C).
    4. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    5. Lu, Yuxin & Sica, Edgardo & Wolszczak-Derlacz, Joanna, 2024. "Global value chains, wages, employment and labour production in China: A regional approach," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 124-142.

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    More about this item

    Keywords

    Gender wage gap; Gender inequalities; Micro data; European countries;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions

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