IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03253-5.html
   My bibliography  Save this article

The global production pattern of the semiconductor industry: an empirical research based on trade network

Author

Listed:
  • Suhua Ou

    (Northeast Normal University)

  • Qingshan Yang

    (Northeast Normal University
    Northeast Normal University)

  • Jian Liu

    (Northeast Normal University)

Abstract

Semiconductors are an important electronic component and play a central role in many industrial fields, whose production system is spread all over the world, involving trade in many raw materials, mechanical equipment, and finished products. Comprehending a broad global production picture of the semiconductor industry can be an arduous task. To tackle this complexity, the social network analysis method was used to capture the flows of products between economies in the semiconductor industrial chain. This study analyzed the evolution of the trade pattern of four key commodities in the semiconductor industrial chain, with a focus on identifying the status of major economies in the global semiconductor trade system. Additionally, the influencing factors of the formation of the trade networks were explored by using the Exponential Random Graph Model. The results showed that: (1) From 2001 to 2019, the import and export trade pattern of four key commodities in the semiconductor industrial chain has shown the characteristics of “rising in the east and decreasing in the west”, but the change range shows strong commodity heterogeneity, the change of the spatial pattern of integrated circuits trade is the most significant, and the integrated circuits trade proportion of Asian economies has increased hugely with more than 80%. (2) The trade connectivity of various commodities in the semiconductor industrial chain has increased, upstream support products with high technical requirements such as wafers and equipment have the lowest average degree and weak trade liquidity, and the average degree of trade network of packaging materials and integrated circuits is relatively high, with strong trade liquidity and closer and more prosperous trade connections. (3) From 2001 to 2019, the “core-periphery” system of global semiconductor industry trade has changed significantly, with the core circle undergoing obvious iterative reorganization. for example, China and Singapore have achieved status improvement to the core circle in the base materials trade network, while Malaysia has been squeezed into the semi-peripheral circle. (4) The formation of trade networks of various commodities in the semiconductor industrial chain was driven by three aspects: network self-organization, exogenous endowment attribute, and exogenous network embeddedness. Among them, the influence of the technological innovation level of economies on different commodity trade networks showed heterogeneous.

Suggested Citation

  • Suhua Ou & Qingshan Yang & Jian Liu, 2024. "The global production pattern of the semiconductor industry: an empirical research based on trade network," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03253-5
    DOI: 10.1057/s41599-024-03253-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03253-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-024-03253-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yener Kandogan, 2018. "Topological Properties of the International Trade Network Using Modified Measures," The International Trade Journal, Taylor & Francis Journals, vol. 32(3), pages 268-292, May.
    2. Wu, Gang & Pu, Yue & Shu, Tianran, 2021. "Features and evolution of global energy trade network based on domestic value-added decomposition of export," Energy, Elsevier, vol. 228(C).
    3. Glenn Magerman & Karolien De Bruyne & Jan Van Hove, 2020. "Pecking order and core‐periphery in international trade," Review of International Economics, Wiley Blackwell, vol. 28(4), pages 1113-1141, September.
    4. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
    5. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
    6. Meric S. Gertler, 2003. "Tacit knowledge and the economic geography of context, or The undefinable tacitness of being (there)," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 75-99, January.
    7. Dezhong Duan & Qifan Xia, 2022. "From the United States to China? A trade perspective to reveal the structure and dynamics of global electronic‐telecommunications," Growth and Change, Wiley Blackwell, vol. 53(2), pages 823-847, June.
    8. J H Chen & T S Jan, 2005. "A system dynamics model of the semiconductor industry development in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1141-1150, October.
    9. Paulo Gala & Jhean Camargo & Elton Freitas, 2018. "The Economic Commission for Latin America and the Caribbean (ECLAC) was right: scale-free complex networks and core-periphery patterns in world trade [Cincuenta años del pensamiento de la cepal: un," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(3), pages 633-651.
    10. Lorenzo Cassi & Andrea Morrison & Anne L.J. Ter Wal, 2012. "The Evolution of Trade and Scientific Collaboration Networks in the Global Wine Sector: A Longitudinal Study Using Network Analysis," Economic Geography, Taylor & Francis Journals, vol. 88(3), pages 311-334, July.
    11. Shore, Jesse C., 2016. "Market formation as transitive closure: The evolving pattern of trade in music," Network Science, Cambridge University Press, vol. 4(2), pages 164-187, June.
    12. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    13. Peter R. Herman, 2022. "Correction to: Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 713-714, May.
    14. Daniel Holbrook & Wesley M. Cohen & David A. Hounshell & Steven Klepper, 2000. "The nature, sources, and consequences of firm differences in the early history of the semiconductor industry," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1017-1041, October.
    15. Greg Linden & Deepak Somaya, 2003. "System-on-a-chip integration in the semiconductor industry: industry structure and firm strategies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(3), pages 545-576, June.
    16. Henrik Glimstedt & Donald Bratt & Magnus P. Karlsson, 2010. "The decision to make or buy a critical technology: semiconductors at Ericsson, 1980--2010," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(2), pages 431-464, April.
    17. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Dai, Tao & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "Global pattern of the international fossil fuel trade: The evolution of communities," Energy, Elsevier, vol. 123(C), pages 260-270.
    18. William Y. Jiang & Xiaohong Quan & Shu Zhou, 2010. "Historical, Entrepreneurial And Supply Chain Management Perspectives On The Semiconductor Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-18.
    19. K. Bhattacharya & G. Mukherjee & S. S. Manna, 2007. "The International Trade Network," Papers 0707.4347, arXiv.org.
    20. C. T. Vidya & K. P. Prabheesh, 2020. "Implications of COVID-19 Pandemic on the Global Trade Networks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2408-2421, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Dueñas & Giorgio Fagiolo, 2013. "Modeling the International-Trade Network: a gravity approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 155-178, April.
    2. Olivera Kostoska & Sonja Mitikj & Petar Jovanovski & Ljupco Kocarev, 2020. "Core-periphery structure in sectoral international trade networks: A new approach to an old theory," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    3. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2013. "Null models of economic networks: the case of the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 75-107, April.
    4. Gutiérrez-Moya, Ester & Lozano, Sebastián & Adenso-Díaz, Belarmino, 2023. "A pre-pandemic analysis of the global fertiliser trade network," Resources Policy, Elsevier, vol. 85(PB).
    5. Yeong-Hyeon Choi & Seong Eun Kim & Kyu-Hye Lee, 2021. "Faux Fur Trade Networks Using Macroscopic Data: A Social Network Approach," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    6. Felipe Chávez-Bustamante & Elliott Mardones-Arias & Julio Rojas-Mora & Jaime Tijmes-Ihl, 2023. "A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks," Mathematics, MDPI, vol. 11(3), pages 1-20, January.
    7. Lovrić, Marko & Da Re, Riccardo & Vidale, Enrico & Pettenella, Davide & Mavsar, Robert, 2018. "Social network analysis as a tool for the analysis of international trade of wood and non-wood forest products," Forest Policy and Economics, Elsevier, vol. 86(C), pages 45-66.
    8. LI, Yang & Luo, Jingqiu & Jiang, Yongmu, 2021. "Policy uncertainty spillovers and financial risk contagion in the Asia-Pacific network," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    9. L. Blázquez & C. Díaz-Mora & B. González-Díaz, 2023. "Slowbalisation or a “New” type of GVC participation? The role of digital services," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(1), pages 121-147, March.
    10. Cai, Xiaomei & Liu, Chan & Zheng, Shuxian & Hu, Han & Tan, Zhanglu, 2023. "Analysis on the evolution characteristics of barite international trade pattern based on complex networks," Resources Policy, Elsevier, vol. 83(C).
    11. Juan Lucio & Raúl Mínguez & Asier Minondo & Francisco Requena, 2016. "Networks and the Dynamics of Firms' Export Portfolio: Evidence for Mexico," The World Economy, Wiley Blackwell, vol. 39(5), pages 708-736, May.
    12. Nicole Palan & Nadia Simoes & Nuno Crespo, 2021. "Measuring fifty years of trade globalisation," The World Economy, Wiley Blackwell, vol. 44(6), pages 1859-1884, June.
    13. De Nicola, Giacomo & Fritz, Cornelius & Mehrl, Marius & Kauermann, Göran, 2023. "Dependence matters: Statistical models to identify the drivers of tie formation in economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 351-363.
    14. Lorenzo Cassi & Andrea Morrison & Roberta Rabellotti, 2015. "Proximity and Scientific Collaboration: Evidence from the Global Wine Industry," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 106(2), pages 205-219, April.
    15. Zhao, Guimei & Li, Wenxiu & Geng, Yong & Bleischwitz, Raimund, 2023. "Uncovering the features of global antimony resource trade network," Resources Policy, Elsevier, vol. 85(PA).
    16. Yuichi Ikeda & Hiroshi Iyetomi, 2018. "Trade network reconstruction and simulation with changes in trade policy," Evolutionary and Institutional Economics Review, Springer, vol. 15(2), pages 495-513, December.
    17. Zhang, Hongwei & Wang, Ying & Yang, Cai & Guo, Yaoqi, 2021. "The impact of country risk on energy trade patterns based on complex network and panel regression analyses," Energy, Elsevier, vol. 222(C).
    18. Oliver Reiter & Robert Stehrer, 2023. "Assessing the importance of risky products in international trade and global value chains," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 7-33, February.
    19. Wei Luo & Peifeng Yin & Qian Di & Frank Hardisty & Alan M MacEachren, 2014. "A Geovisual Analytic Approach to Understanding Geo-Social Relationships in the International Trade Network," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-12, February.
    20. Fraňková, Eva & Fousek, Jan & Kala, Lukáš & Labohý, Jan, 2014. "Transaction network analysis for studying Local Exchange Trading Systems (LETS): Research potentials and limitations," Ecological Economics, Elsevier, vol. 107(C), pages 266-275.

    More about this item

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03253-5. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.