Uncovering the evolution of digital economy investment networks: a county-level perspective
Fenghua Xie , Peng Peng , Daichao Li , Yang Xu , Mingzhi Wu
Computational Urban Science ›› 2025, Vol. 5 ›› Issue (1) : 19
Uncovering the evolution of digital economy investment networks: a county-level perspective
The digital economy drives economic growth and regional competitiveness. Understanding the evolution of county-level digital economies is essential for regional economic transformation, upgrading, and long-term development. Traditional assessment methodologies have several shortcomings for representing the county digital economy, especially data availability and reliability. In this paper, we develop a multi-scale analytic framework using complex network indicators including average clustering coefficient,
Digital economy / Network analysis / Investment network / County-level scale / Multi-scale
| [1] |
China Academy of Information and Communications Technology [CAICT]. (2023). White paper on global digital economy (2023). Retrieved from http://www.caict.ac.cn/english/research/whitepapers/202404/P020240430470269289042.pdf |
| [2] |
Australian Bureau Of Statistics [ABS]. (2019). Measuring digital activities in the australian economy. Retrieved from https://www.abs.gov.au/statistics/research/measuring-digital-activities-australian-economy. Accessed August 27,2024. |
| [3] |
|
| [4] |
Balcerzak, A. P., & Pietrzak, M. B. (2017). Digital economy in visegrad countries. Multiple-criteria decision analysis at regional level in the years 2012 and 2015. Journal of Competitiveness, 9(2), 5–18. https://doi.org/10.7441/joc.2017.02.01 |
| [5] |
Balland, P., Broekel, T., Diodato, D., Giuliani, E., Hausmann, R., O’Clery, N., & Rigby, D. (2022). The new paradigm of economic complexity. Research Policy,51(3). https://doi.org/10.1016/j.respol.2021.104450 |
| [6] |
Barefoot, K., Curtis, D., Jolliff, W., Nicholson, J. R., & Omohundro, R. (2018). Defining and measuring the digital economy. Retrieved from https://www.bea.gov/system/files/papers/WP2018-4.pdf |
| [7] |
Bertani, F., Ponta, L., Raberto, M., Teglio, A., Cincotti, S. (2021). The complexity of the intangible digital economy: an agent-based model. Journal of Business Research, 129, 527–540. https://doi.org/10.1016/j.jbusres.2020.03.041 |
| [8] |
|
| [9] |
Cai, J., Li, R., Liu, Z., Liu, X., & Wu, H. (2024). Quantifying spatial interaction centrality in urban population mobility: a mobility feature- and network topology-based locational measure. Sustainable Cities and Society, 105769. https://doi.org/10.1016/j.scs.2024.105769 |
| [10] |
|
| [11] |
|
| [12] |
Carmi, S., Havlin, S., Kirkpatrick, S., Shavitt, Y., & Shir, E. (2007). A model of internet topology using k-shell decomposition. Proceedings of the National Academy of Sciences of the United States of America,104(27), 11150–11154. https://doi.org/10.1073/pnas.0701175104 |
| [13] |
|
| [14] |
|
| [15] |
Chen, Z., Wei, Y., Shi, K., Zhao, Z., Wang, C., Wu, B., Qiu, B., & Yu, B. (2022). The potential of nighttime light remote sensing data to evaluate the development of digital economy: a case study of china at the city level. Computers Environment and Urban Systems,92, 101749. https://doi.org/10.1016/j.compenvurbsys.2021.101749 |
| [16] |
|
| [17] |
Deng, X., Huang, M., & Peng, R. (2024). The impact of digital economy on rural revitalization: evidence from guangdong, china. Heliyon,10(7), e28216. https://doi.org/10.1016/j.heliyon.2024.e28216 |
| [18] |
|
| [19] |
Duc, D. T. V., Dat, T. T., Linh, D. H., & Phong, B. X. (2024). Measuring the digital economy in vietnam. Telecommunications Policy,48(3), 102683. https://doi.org/10.1016/j.telpol.2023.102683 |
| [20] |
Dutta, S., & Lanvin, B. (2020). The network readiness index 2020: accelerating digital transformation in a post-covid global economy. Portulans Institute. Retrieved from https://networkreadinessindex.org/wp-content/uploads/2022/09/NRI_2020_Report.pdf |
| [21] |
Fu, H., Guan, J., Wang, R., Kong, L., & Dai, Q. (2024). How does digitalization affect the urban-rural disparity at different disparity levels: a bayesian quantile regression approach. Technology in Society,78, 102633. https://doi.org/10.1016/j.techsoc.2024.102633 |
| [22] |
G20 Digital Economy Task Force [G20 DETF]. (2016). G20 digital economy development and cooperation initiative. Retrieved from https://www.mofa.go.jp/files/000185874.pdf |
| [23] |
Gao, J., Peng, P., Lu, F., & Claramunt, C. (2022). A multi scale comparison of tourism attraction networks across china. Tourism Management,90, 104489. https://doi.org/10.1016/j.tourman.2022.104489 |
| [24] |
|
| [25] |
Grimes, S. (2003). The digital economy challenge facing peripheral rural areas. Progress in Human Geography,27(2), 174–193. https://doi.org/10.1191/0309132503ph421oa |
| [26] |
Grimes, S. (2005). How well are europe’s rural businesses connected to the digital economy? European Planning Studies,13(7), 1063–1081. https://doi.org/10.1080/09654310500242105 |
| [27] |
|
| [28] |
H3C. (2020). White paper on digital economy index for chinese cities (2020). Retrieved from https://www.h3c.com/cn/pub/minisite/202004/DEI/2020White_Paper.pdf |
| [29] |
Hong, W. Y., Guo, R. Z., Zhao, Z. G., Minde, L., Liao, C. C., & Li, Y. L. (2024). Using networks modeling for assessing the structure of socio-ecological systems based on the flow-space approach: a case study of shenzhen, china. Regional Environmental Change, 24(1). https://doi.org/10.1007/s10113-024-02191-x |
| [30] |
Huang, C., & Lin, B. (2024). How digital economy index selection and model uncertainty will affect energy green transition. Energy Economics,136, 107774. https://doi.org/10.1016/j.eneco.2024.107774 |
| [31] |
Jia, J. M., Liu, C. S., Wang, X. H., Zhang, H., & Xiao, Y. (2023). Understanding bike-sharing mobility patterns in response to the covid-19 pandemic. Cities, 142.https://doi.org/10.1016/j.cities.2023.104554 |
| [32] |
Jing, Z., & Wang, J. (2020). Sustainable development evaluation of the society-economy-environment in a resource-based city of china:a complex network approach. Journal of Cleaner Production,263, 121510. https://doi.org/10.1016/j.jclepro.2020.121510 |
| [33] |
|
| [34] |
Li, K., Kim, D. J., Lang, K. R., Kauffman, R. J., & Naldi, M. (2020). How should we understand the digital economy in asia? Critical assessment and research agenda. Electronic Commerce Research and Applications,44, 101004. https://doi.org/10.1016/j.elerap.2020.101004 |
| [35] |
Li, W., Cui, W., & Yi, P. (2024). Digital economy evaluation, regional differences and spatio-temporal evolution: case study of yangtze river economic belt in china. Sustainable Cities and Society,113, 105685. https://doi.org/10.1016/j.scs.2024.105685 |
| [36] |
Liu, M., Li, S., Li, Y., Shi, J., & Bai, J. (2024). Evaluating the synergistic effects of digital economy and government governance on urban low-carbon transition. Sustainable Cities and Society,105, 105337. https://doi.org/10.1016/j.scs.2024.105337 |
| [37] |
Lu, Q., Ding, B., & Gu, J. (2024). Regional economic vulnerability based on investment and financing network attacks. Cities,150, 105012. https://doi.org/10.1016/j.cities.2024.105012 |
| [38] |
Ma, T., Hong, W., Cao, Z., Zhang, L., & Yang, X. (2024). Connection patterns and resilience simulation of innovation network in the context of technology transfer: a case study of strategic emerging industries in the guangdong-hong kong-macao greater bay area. Sustainable Cities and Society,106, 105396. https://doi.org/10.1016/j.scs.2024.105396 |
| [39] |
|
| [40] |
National Bureau of Statistics. (2021). Statistical classification of the digital economy and its core industries (2021). Retrieved from https://www.stats.gov.cn/sj/tjbz/gjtjbz/202302/t20230213_1902784.html. Accessed August 27,2024. |
| [41] |
National Bureau of Statistics. (2024). Introduction of digital economy statistical, monitoring system in china. Retrieved from https://unstats.un.org/bigdata/events/2024/measuring-digital-economy/presentations/day3/3.%20Introduction%20of%20digital%20economy%20statistical%20monitoring%20system%20in%20China_Chen%20Hang.pdf |
| [42] |
|
| [43] |
Organisation for Economic Co-operation and Development [OECD]. (2017). Summary of responses of the advisory group: survey on digital economy typology. Retrieved from https://one.oecd.org/document/STD/CSSP/WPNA(2017)1/en/pdf |
| [44] |
|
| [45] |
Peng, Z., & Dan, T. (2023). Digital dividend or digital divide? Digital economy and urban-rural income inequality in china. Telecommunications Policy,47(9), 102616. https://doi.org/10.1016/j.telpol.2023.102616 |
| [46] |
|
| [47] |
Rehman, N. U., & Nunziante, G. (2023). The effect of the digital economy on total factor productivity in european regions. Telecommunications Policy,47(10), 102650. https://doi.org/10.1016/j.telpol.2023.102650 |
| [48] |
|
| [49] |
Song, Z., Wang, C., & Bergmann, L. (2020). China’s prefectural digital divide: spatial analysis and multivariate determinants of ict diffusion. International Journal of Information Management,52, 102072. https://doi.org/10.1016/j.ijinfomgt.2020.102072 |
| [50] |
|
| [51] |
Su, J., Su, K., & Wang, S. (2022). Evaluation of digital economy development level based on multi-attribute decision theory. Plos One,17(10), e0270859. https://doi.org/10.1371/journal.pone.0270859 |
| [52] |
|
| [53] |
|
| [54] |
The State Council of China. (2024). China unveils data on core industries of digital economy of 2023. Retrieved from https://english.www.gov.cn/archive/statistics/202412/26/content_WS676d4383c6d0868f4e8ee49d.html. Accessed January 17,2025. |
| [55] |
|
| [56] |
|
| [57] |
Wang, L., & Shao, J. (2023). Digital economy, entrepreneurship and energy efficiency. Energy,269, 126801. https://doi.org/10.1016/j.energy.2023.126801 |
| [58] |
Wang, R., & Rho, S. (2019). Dynamics prediction of large-scale social network based on cooperative behavior. Sustainable Cities and Society, 46. https://doi.org/10.1016/j.scs.2019.101435 |
| [59] |
|
| [60] |
|
| [61] |
Xu, L. L., Su, F. R., Zhang, J., & Zhang, N. (2022). High-speed rail network structural characteristics and evolution in china. Mathematics, 10(18).https://doi.org/10.3390/math10183318 |
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
Zhang, X. F., Wu, X. M., Zhou, W. H., & Fu, N. N. (2024). Research on the green innovation effect of digital economy network - empirical evidence from the manufacturing industry in the yangtze river delta. Environmental Technology & Innovation, 34. https://doi.org/10.1016/j.eti.2024.103595 |
| [66] |
Zhang, Y., & Zhu, X. (2023). Analysis of the global trade network of the chip industry chain: does the u.s.-China tech war matter? Heliyon, 9(6), e17092. https://doi.org/10.1016/j.heliyon.2023.e17092 |
| [67] |
Zhao, J., Yu, L., Xi, X., & Li, S. (2023). Knowledge percolation threshold and optimization strategies of the combinatorial network for complex innovation in the digital economy. Omega-International Journal of Management Science,120, 102913. https://doi.org/10.1016/j.omega.2023.102913 |
| [68] |
Zheng, S. Y., Chen, Y. Y., Zhou, Y. Y., & Guo, J. F. (2023). Influence of link-addition strategies on network balance and passenger experience in rail networks. Sustainable Cities and Society, 91. https://doi.org/10.1016/j.scs.2023.104415 |
| [69] |
Zhou, J., Xu, W., & Yan, D. (2024). Breaking the resource curse: the impact of digital economy on the sustainable transformation of resource-based cities. Sustainable Cities and Society,113, 105707. https://doi.org/10.1016/j.scs.2024.105707 |
| [70] |
Zhou, Y. R., Chen, Z. Q., & Liu, Z. X. (2023). Dynamic analysis and community recognition of stock price based on a complex network perspective. Expert Systems with Applications, 213. https://doi.org/10.1016/j.eswa.2022.118944 |
| [71] |
Zhu, G. G., Chen, G. M., Zhu, J. Y., Meng, X. K., & Li, X. H. (2022). Modeling the evolution of major storm-disaster-induced accidents in the offshore oil and gas industry. International Journal of Environmental Research and Public Health, 19(12). https://doi.org/10.3390/ijerph19127216 |
| [72] |
Zou, L., Lyu, G., Zhu, Y., Yan, S., & Zhang, X. (2023). Spatializing the emerging geography of urban system in china: based on live streaming commerce. Cities,143, 104613. https://doi.org/10.1016/j.cities.2023.104613 |
The Author(s)
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