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The DNA of the domestic value added (DVA) in exports: Firm‐level analysis of DVA in exports

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  • Nataša Vrh

Abstract

This paper sheds light on the relationship between domestic value added in exports (DVA) and the different ways firms participate in GVCs by exploiting a detailed firm‐level data set for the whole population of Slovenian exporting firms for the period 2002–14. The paper draws attention to those firm characteristics that allow a greater share of DVA to be captured. Although reliance on industry‐level data from input–output tables is the most common way of doing this in the literature, this paper develops a method for estimating DVA in exports using firm‐level data by adapting the approach taken by Kee and Tang (2016). The paper finds that in terms of DVA, domestic‐owned exporting firms outperform more productive foreign‐owned firms and that firms not affiliated with permanent suppliers from abroad capture higher DVA in exports. Positive outcomes of DVA in exports can be observed, all else being equal, for firms with a larger share of intangible capital per worker and firms with a smaller share of exports based on imports of the same products. The results also show that when exporting more to less demanding markets, like the countries of former Yugoslavia, firms benefit more in terms of greater DVA gains in exports.

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  • Nataša Vrh, 2019. "The DNA of the domestic value added (DVA) in exports: Firm‐level analysis of DVA in exports," The World Economy, Wiley Blackwell, vol. 42(9), pages 2566-2601, September.
    • Handle: RePEc:bla:worlde:v:42:y:2019:i:9:p:2566-2601
    DOI: 10.1111/twec.12800
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    Cited by:

    1. Yajun Zhu & Churen Sun, 2022. "Carbon Reduction, Pollution Intensity, and Firms’ Ratios of Value Added in Exports: Evidence from China’s Low-Carbon Pilot Policy," Sustainability, MDPI, vol. 14(19), pages 1-26, October.
    2. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Yue Lu & Lijing Deng & Ka Zeng, 2022. "Foreign direct investment, innovation, and domestic value‐added in exports: Firm‐level evidence from China," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1199-1228, September.
    4. Du, Yan & Yan, Jie & Cao, Fangzhou & Li, Yifei & Zhou, Mao, 2023. "Higher education expansion and domestic value added in exports: Theory and evidence from China," Journal of Asian Economics, Elsevier, vol. 87(C).

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