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Gvc Involvement And The Gender Wage Gap: Micro - Evidence For European Countries

Author

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  • Dagmara Nikulin

    (Gdansk University of Technology, Gdansk, Poland)

  • Joanna Wolszczak-Derlacz

    (Gdansk University of Technology, Gdansk, Poland)

Abstract

In this paper we examine the linkages between involvement into global value chains (GVCs) and the gender wage inequalities. We use merged wide-ranging Structure of Earning (SES) and World Input Output Database (WIOD) for the years 2002, 2006, 2010 and 2014, covering manufacturing industries of 18 European countries. We employ a wealth of information on employees’ personal and company characteristics as well as sectoral variable reflecting the involvement in GVC measured by foreign value added embodied in exports (FVA/Exp.) We augment the Mincerian regression with GVC variable and report gender wage discrimination among European employees. The results indicate that wages of workers employed in sectors more involved in GVC are lower. However, the relationship between GVC and wages differs in respect to gender; women are more affected by the negative impact of greater trade involvement in comparison to men. There is some education/skill/occupation heterogeneity with workers with middle education level and middle skills being most affected. Finally, our results show the different patters across concentrated and competitive industries: the wage drop due GVC intensification is observed for the former ones.

Suggested Citation

  • Dagmara Nikulin & Joanna Wolszczak-Derlacz, 2019. "Gvc Involvement And The Gender Wage Gap: Micro - Evidence For European Countries," GUT FME Working Paper Series A 57, Faculty of Management and Economics, Gdansk University of Technology.
    • Handle: RePEc:gdk:wpaper:57
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    Cited by:

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    2. 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).
    3. 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.
    4. 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).
    5. Bataka, Hodabalo, 2024. "Global value chains participation and gender inequalities in Sub-Saharan Africa: Importance of women education," International Economics, Elsevier, vol. 178(C).

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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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