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Research Article

Structural Evolution and Its Determinants of Domestic Value-Added Network of Digital Service Exports Based on Temporal Exponential Random Graph Model

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References

  • Andreoni, A., H. J. Chang, and M. Labrunie. 2021. Natura Non Facit Saltus: Challenges and opportunities for digital industrialisation across developing Countries. European Journal of Development Research 33 (2):330–70. doi:10.1057/s41287-020-00355-z.
  • Bailey, M., A. Gupta, S. Hillenbrand, T. Kuchler, R. Richmond, and J. Stroebel. 2021. International trade and social connectedness. Journal of International Economics 129:103418. doi:10.1016/j.jinteco.2020.103418.
  • Carrère, C. 2006. Revisiting the effects of regional trade agreements on trade flows with proper specification of the gravity model. European Economic Review 50 (2):223–47. doi:10.1016/j.euroecorev.2004.06.001.
  • De Benedictis, L., S. Nenci, G. Santoni, L. Tajoli, and C. Vicarelli. 2014. Network analysis of World Trade using the BACI-CEPII dataset. Glob Econ J 14 (3n04):287–343. doi:10.1515/gej-2014-0032.
  • Feng, L., H. Xu, G. Wu, and W. Zhang. 2021. Service trade network structure and its determinants in the belt and road based on the temporal exponential random graph model. Pacific Economic Review 26 (5):617–50. doi:10.1111/1468-0106.12378.
  • Hanneke, S., W. Fu, and E. P. Xing. 2010. Discrete temporal models of social networks. Electron J Statist 4 (none). doi:10.1214/09-EJS548.
  • Henry, A. D., M. Lubell, and M. McCoy. 2011. Belief systems and social capital as drivers of policy network structure: The case of California regional planning. Journal of Public Administration Research and Theory 21 (3):419–44. doi:10.1093/jopart/muq042.
  • Kharrazi, A., and B. D. Fath. 2016. Measuring global oil trade dependencies: An application of the point-wise mutual information method. Energy Policy 88:271–77. doi:10.1016/j.enpol.2015.10.017.
  • Koopman, R., Z. Wang, and S. Wei. 2014. Tracing value-added and double counting in gross exports. American Economic Review 104 (2):459–94. doi:10.1257/aer.104.2.459.
  • Krivitsky, P. N., and M. S. Handcock. 2014. A separable model for dynamic networks. J R Stat Soc B 76 (1):29–46. doi:10.1111/rssb.12014.
  • Lee, J. 2012. Network effects on international trade. Economics Letters 116 (2):199–201. doi:10.1016/j.econlet.2012.02.017.
  • Li, J., S. Chen, G. Wan, and C. Fu. 2014. Study on the spatial correlation and explanation of regional economic growth in China——based on analytic network process. Economic Research Journal 49 (11):4–16. https://kns.cnki.net/kcms2/article/abstract?v=MuKJieOJLT330UUg3vfejKsO6h-7SQhuNUJ0HGJng6cfVT-By7iL1BKqnN3Qsg2ikKyhgiSMfiiHfiFwFATFnnuhmc58AagfWfoiOytoq7VySJGq40Fjjv4wFNb3xPP0cHmQ3L1igWdpVc_V4gNZ-Q==&uniplatform=NZKPT&language=CHS.
  • Li, Y., K. Jin, and X. Meng. 2013. Is China’s export trade relationship stable? The Journal of Quantitative & Technical Economics 30 (12):21–34+64. doi:10.1111/j.1749-124X.2013.12009.x.
  • Li, Y., Y. Li, A. Pan, X. Pan, and E. Veglianti. 2022. The network structure characteristics and determinants of the belt & road industrial robot trade. Emerging Markets Finance and Trade 58 (5):1491–501. doi:10.1080/1540496X.2021.1897315.
  • Lin, X., and X. Bao. 2018. Effects of regional service trade agreements on service trade flows: From the perspective of trade in value added. Economic Research Journal 53 (1):169–82.
  • Liu, L., X. Yan, L. Yang, and M. Song. 2021. Research on the evolution and endogenous mechanism of international trade dependence network. China Industrial Economics 116 (3):98–116. doi:10.19581/j.cnki.ciejournal.2021.02.015.
  • Lu, Y., R. Fang, and D. Wang. 2021. Analysis on the topological structure characteristics and influence mechanism of global digital service trade network. The Journal of Quantitative & Technical Economics 38 (10):128–47. doi:10.13653/j.cnki.jqte.2021.10.007.
  • Lu, J., and N. Fu. 2018. Rise of global digital trade: Analysis of its development patterns and determinants. Chinese Social Science Digest 5 (11):57–66+281+2.
  • Lusher, D., J. Koskinen, and G. Robins. 2012. Exponential random graph models for social networks: Theory, methods, and applications. Cambridge, UK: Cambridge University Press.
  • Ma, S., C. Fang, and Y. Liang. 2018. Digital trade: Definition, Practical significance and research prospects. Journal of International Trade 10:16–30. doi:10.13510/j.cnki.jit.2018.10.002.
  • Magazzino, C., M. Mele, N. Schneider, and U. Shahzad. 2022. Does export product diversification spur energy demand in the APEC region? Application of a new neural networks experiment and a decision tree model. Energy and Buildings 258:111820. doi:10.1016/j.enbuild.2021.111820.
  • Neeraj, R. S. 2019. Trade rules for the digital economy: Charting new waters at the WTO. World Trade Review 18 (S1):S121–41. doi:10.1017/S1474745618000423.
  • Polidoro, F., G. Ahuja, and W. Mitchell. 2011. When the social structure overshadows competitive incentives: The effects of network embeddedness on joint venture dissolution. AMJ 54 (1):203–23. doi:10.5465/amj.2011.59215088.
  • Robins, G., T. Snijders, P. Wang, M. Handcock, and P. Pattison. 2007. Recent developments in exponential random graph (p*) models for social networks. Social Networks 29 (2):192–215. doi:10.1016/j.socnet.2006.08.003.
  • Shao, J. 2011. An analysis of the duration of China’s export trade relation and its influencing factors. Management World 6:24–33+187. doi:10.19744/j.cnki.11-1235/f.2011.06.003.
  • Shi, B. 2016. Cultural identification and international trade. Journal of World Economy 39 (5):78–97. doi:10.19985/j.cnki.cassjwe.2016.05.005.
  • Snijders, T. A. 2002. Markov chain Monte Carlo estimation of exponential random graph models. Journal of Social Structure 3 (2):1–40.
  • Tang, X., and M. Cui. 2020. Research on the dynamic change of goods trade network structure and its impact mechanism of countries along the belt and road. Journal of Finance and Economics 46 (7):138–53. doi:10.16538/j.cnki.jfe.2020.07.010.
  • UNCTAD. 2015. International trade in ICT services and ICT-Enabled services.
  • van der Marel, E. 2021. Digital-based services globalization and multilateral trade cooperation. Global Policy 12 (3):392–98. doi:10.1111/1758-5899.12941.
  • Walker, S. 2018. Cultural barriers to market integration: Evidence from 19th century Austria. Journal of Comparative Economics 46 (4):1122–45. doi:10.1016/j.jce.2018.05.001.
  • Wang, X., F. Zhu, and Y. Xia. 2020. China’s digital service trade: Progress of the 13th five-year Plan Period and prospect of the 14th five-year Plan Period. Journal of Capital University of Economics and Business 22 (6):28–42. doi:10.13504/j.cnki.issn1008-2700.2020.06.003.
  • Wen, H., S. Shu, and S. Zheng. 2021. International digital services trade pattern and China’s trade status. Review of Industrial Economics (1):50–64. doi:10.19313/j.cnki.cn10-1223/f.2021.01.005.
  • Wu, T., X. Hu, and J. Zhao. 2023. A study on the efficiency and influencing factors of digital service trade between China and countries along the belt and road. Productivity Research 5:17–23+161. doi:10.19374/j.cnki.14-1145/f.2023.05.002.
  • Xiao, W. 2023. A new measurement indicator of cultural distance and its effect on China’s digital services trade. Commercial Science Research 30 (4):17–35.
  • Yao, X., H. Mei, and Y. Pu. 2019. Research on the structural characteristics and evolution of international service trade network——based on the perspective of global value chains. Journal of International Trade 4:109–24. doi:10.13510/j.cnki.jit.2019.04.008.
  • Zhang, X., M. Liu Research on the efficiency and potential of China’s export of digital service trade to RCEP member countries—based on stochastic frontier gravity model. Prices monthly. 2023;(11):1–13.
  • Zhou, N., and H. Chen. 2020. Research on the digital trade effects of American-style digital trade rules under RTAs framework. Journal of World Economy 43 (10):28–51. doi:10.19985/j.cnki.cassjwe.2020.10.003.
  • Zhou, N., T. Yao, and N. Huang. 2022. Empirical Research on the impact of the barriers to cross—border data flows on the dual margin of digital service trade. International Economics and Trade Research 38 (2):4–21. doi:10.13687/j.cnki.gjjmts.2022.02.004.

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