IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2015-26.html
   My bibliography  Save this paper

China’s electrical equipment manufacturing in the Global Value Chain: A GVC income analysis based on World Input-Output Database (WIOD)

Author

Listed:
  • Yingying Lu

Abstract

This paper empirically analyzes China’s electrical equipment manufacturing industry in the context of global value chain (GVC) by using the GVC income approach (Timmer et al., 2013) and the World Input-Output Database (WIOD). Four major questions are addressed by measuring several different indicators. China is found to have comparative advantage and competitiveness in terms of its large share of value added contribution in the world electrical equipment manufacturing industry. However, such competitiveness is not sustainable for two reasons: (1) China is actually a net value added importer, which limits its dominance and development in this industry; (2) the majority of China’s GVC income comes from capital investment rather than high-skilled or valuable activities, which means the competitiveness is easy to be taken over as physical capital is more “mobile” than human capital. The paper also finds that the global financial crisis (GFC) did have certain impact on the electrical equipment GVCs in general, but the impact is not necessarily negative and big for each economy. For China, the GFC led to a decrease in the average real wage in this industry due to the decreasing high-skilled labor compensation share and the increasing low-skilled one. The analysis also implies that to upgrade the China’s position in the electrical equipment manufacturing GVC may ultimately mean upgrading the agriculture sector such that more labor can be engaged in medium- and high-skilled activities.

Suggested Citation

  • Yingying Lu, 2015. "China’s electrical equipment manufacturing in the Global Value Chain: A GVC income analysis based on World Input-Output Database (WIOD)," CAMA Working Papers 2015-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2015-26
    as

    Download full text from publisher

    File URL: https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2015-07/26_2015_lu.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Erik Frohm & Vanessa Gunnella, 2021. "Spillovers in global production networks," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 663-680, August.
    2. Liu, Hongxun & Li, Jianglong & Long, Houyin & Li, Zhi & Le, Canyu, 2018. "Promoting energy and environmental efficiency within a positive feedback loop: Insights from global value chain," Energy Policy, Elsevier, vol. 121(C), pages 175-184.
    3. Gunnella, Vanessa & Al-Haschimi, Alexander & Benkovskis, Konstantins & Chiacchio, Francesco & de Soyres, François & Di Lupidio, Benedetta & Fidora, Michael & Franco-Bedoya, Sebastian & Frohm, Erik & G, 2019. "The impact of global value chains on the euro area economy," Occasional Paper Series 221, European Central Bank.
    4. Frohm, Erik & Gunnella, Vanessa, 2017. "Sectoral interlinkages in global value chains: spillovers and network effects," Working Paper Series 2064, European Central Bank.
    5. Oppon, Eunice & Richter, Justin S. & Koh, S.C. Lenny & Nabayiga, Hellen, 2023. "Macro-level economic and environmental sustainability of negative emission technologies; Case study of crushed silicate production for enhanced weathering," Ecological Economics, Elsevier, vol. 204(PA).

    More about this item

    Keywords

    Global Value Chain (GVC); Input-Output Analysis; GVC income; China; Electrical Equipment Manufacturing;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:een:camaaa:2015-26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.