IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10567-d1535118.html
   My bibliography  Save this article

Research on the Structural Characteristics and Influencing Factors of Digital Service Trade Networks in RCEP Member States

Author

Listed:
  • Xiaole Deng

    (School of International Economics and Trade, Xinjiang University of Finance and Economics, Regional Economic Cooperation Research Center between China (Xinjiang) and Central Asia, Urumqi 830012, China)

  • Fang Zhang

    (School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Shuyi Lin

    (School of International Economics and Trade, Xinjiang University of Finance and Economics, Regional Economic Cooperation Research Center between China (Xinjiang) and Central Asia, Urumqi 830012, China)

  • Wei Qiu

    (School of Economics, Xinjiang University of Finance and Economics, Urumqi 830012, China)

Abstract

Using the digital service trade data of RCEP member countries from 2006 to 2021, this study analyzes the structural characteristics and network centrality of the overall and segmented industry trade networks, applying social network analysis based on social network theory. The results show that the overall and segmented industry trade networks of RCEP member countries have exhibited a gradual increase in network structure stability, accompanied by the emergence of pronounced ‘small-world’ characteristics; Singapore and Japan are at the center of the network. Moreover, the quadratic assignment procedure (QAP) model is applied to explore the factors affecting networks based on digital service trade data in 2006 and 2021. We established that institutional distance and geographic distance act as impediments to the development of trade in digital services in RCEP member countries; conversely, common language facilitates its development. For two countries with more similar levels of economic development, it is easier to establish trade links and increase trade value in sectors such as insurance and pension services, and it is also easier to establish trade links in industries such as communication, computer, and information (ICT) services, but the effect on trade value is not significant. For two countries with more similar levels of digital infrastructure, it is easier to establish trade links and increase trade value in industries such as financial service, and it is also easier to establish trade links in industries such as insurance and pension services, but the effect on trade value is not significant. In response to this study’s results, we propose five recommendations to enhance the development of China’s digital service trade.

Suggested Citation

  • Xiaole Deng & Fang Zhang & Shuyi Lin & Wei Qiu, 2024. "Research on the Structural Characteristics and Influencing Factors of Digital Service Trade Networks in RCEP Member States," Sustainability, MDPI, vol. 16(23), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10567-:d:1535118
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10567/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10567/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hwayoon Seok & Yoonjae Nam, 2022. "A Social Network Analysis of International Creative Goods Flow," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    2. Hui Fang & Qixin Huo & Kaouakib Hatim, 2023. "Can Digital Services Trade Liberalization Improve the Quality of Green Innovation of Enterprises? Evidence from China," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    3. Jinke Li & Fang Wang, 2024. "A Study on the Competitiveness and Influencing Factors of the Digital Service Trade," Sustainability, MDPI, vol. 16(8), pages 1-21, April.
    4. Xiaomei Wang & Jia Zhang & Yixin Zhu, 2024. "Barriers to Digital Services Trade and Export Efficiency of Digital Services," Sustainability, MDPI, vol. 16(17), pages 1-14, August.
    5. Shuang Hao & Zhi Chen & Chien-Chih Wang & Che-Yu Hung, 2023. "Impact of Digital Service Trade Barriers and Cross-Border Digital Service Inputs on Economic Growth," Sustainability, MDPI, vol. 15(19), pages 1-20, October.
    6. Hao Xu & Niu Niu & Dongmei Li & Chengjie Wang, 2024. "A Dynamic Evolutionary Analysis of the Vulnerability of Global Food Trade Networks," Sustainability, MDPI, vol. 16(10), pages 1-17, May.
    7. Alai Yeerken & Feng Deng, 2023. "Digital Service Trade and Labor Income Share—Empirical Research on 48 Countries," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    8. Yan, Jingjing & Guo, Yaoqi & Zhang, Hongwei, 2024. "The dynamic evolution mechanism of structural dependence characteristics in the global oil trade network," Energy, Elsevier, vol. 303(C).
    9. Liu, Yuxin & Li, Yunting & Pu, Yue, 2024. "Exploring the endogenous structure and evolutionary mechanism of the global coal trade network," Energy Economics, Elsevier, vol. 136(C).
    10. Jian Duan & Changle Nie & Yingying Wang & Dan Yan & Weiwei Xiong, 2021. "Research on Global Grain Trade Network Pattern and Its Driving Factors," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    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. Hongfeng Zhang & Xiangjiang Ding & Yue Liu, 2023. "The Impact of Low-Carbon Pilot Cities on the Development of Digital Economy: Empirical Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    2. 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).
    3. Yugang He, 2024. "E-commerce and foreign direct investment: pioneering a new era of trade strategies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    4. Jing Fu & Guangji Tong, 2023. "The State of Grain Trade between China and Russia: Analysis of Growth Effect and Its Influencing Factors," Agriculture, MDPI, vol. 13(7), pages 1-16, July.
    5. Xiaopeng Wang & Chengyi Tu & Shuhao Chen & Sicheng Wang & Ying Fan & Samir Suweis & Paolo D'Odorico, 2024. "Quantifying Global Food Trade: A Net Caloric Content Approach to Food Trade Network Analysis," Papers 2411.18856, arXiv.org, revised Dec 2024.
    6. Ziyao Huang & Fang Yang, 2024. "Macroeconomic Impacts of College Expansion on Structural Transformation and Energy Economy in China: A Heterogeneous Agent General Equilibrium Approach," Mathematics, MDPI, vol. 12(15), pages 1-31, July.
    7. Chaoqun Fan & Ahmed Usman, 2024. "How Does Renewable Energy Respond to Financial Globalization and Information and Communications Technology Trade?," Energies, MDPI, vol. 17(3), pages 1-18, February.
    8. Zezhong Zhao & Guifu Gao, 2024. "The Impact of Digital Trade on China’s Position in the GVC: An Empirical Analysis Based on Sino-Russian Cross-Border Panel Data," Sustainability, MDPI, vol. 16(13), pages 1-22, June.
    9. Huiying Gao & Yu Zhang & Caifen Xu & Yangmeina Yang, 2022. "Towards a Sustainable Grain Production Network: An Empirical Study from Northeast China," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    10. Abudureyimu Abudukeremu & Asiyemu Youliwasi & Buwajian Abula & Abulaiti Yiming & Dezhen Wang, 2024. "Study on the Evolution of SCO Agricultural Trade Network Pattern and Its Influencing Mechanism," Sustainability, MDPI, vol. 16(18), pages 1-21, September.

    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:gam:jsusta:v:16:y:2024:i:23:p:10567-:d:1535118. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.