The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Study on the effect of digital economy on high-quality economic development in China
Open accessAbstract
At present, the digital economy, which takes information technology and data as the key elements, is booming and has become an important force in promoting the economic growth of various countries. In order to explore the current dynamic trend of China’s digital economy development and the impact of the digital economy on the high-quality economic development, this paper measures the digital economic development index of 30 cities in China from the three dimensions of digital infrastructure, digital industry, and digital integration, uses panel data of 30 cities in China from 2015 to 2019 to construct an econometric model for empirical analysis, and verifies the mediating effect of technological progress between the digital economy and high-quality economic development. The results show that (1) The development level of China’s digital economy is increasing year by year, that the growth of digital infrastructure is obvious, and that the development of the digital industry is relatively slow. (2) Digital infrastructure, digital industry and digital integration all have significant positive effects on regional total factor productivity, and the influence coefficients are 0.2452, 0.0773 and 0.3458 respectively. (3) Regarding the transmission mechanism from the digital economy to the high-quality economic development, the study finds that the mediating effect of technological progress is 0.1527, of which the mediating effect of technological progress in the eastern, northeast, central and western regions is 1.70%, 9.25%, 28.89% and 21.22% respectively. (4) From the perspective of spatial distribution, the development level of the digital economy in the eastern region is much higher than that in other non-eastern regions, and the development of digital economy in the eastern region has a higher marginal contribution rate to the improvement of the total factor productivity. This study can provide a theoretical basis and practical support for the government to formulate policies for the development of the digital economy.
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Cites
The digital economy: promise and peril in the age of networked intelligence
(1996) · Choice Reviews Online · doi:10.5860/choice.33-5199 · Cited by 1,643
Defining, Conceptualising and Measuring the Digital Economy
Bukht, R., & Heeks, R. (2018) · International Organisations Research Journal · doi:10.17323/1996-7845-2018-02-07 · Cited by 1,100
Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120420 · Cited by 910
Impact of COVID-19 on the travel and tourism industry
Škare, M., Soriano, D. R., & Porada-Rochoń, M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120469 · Cited by 908
Kristoffersen, E., Blomsma, F., Mikalef, P., & Li, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.044 · Cited by 841
Digitalization and economic growth: A comparative analysis of Sub-Saharan Africa and OECD economies
Myovella, G., Karacuka, M., & Haucap, J. (2020) · Telecommunications Policy · doi:10.1016/j.telpol.2019.101856 · Cited by 704
Digital technologies catalyzing business model innovation for circular economy—Multiple case study
Ranta, V., Aarikka-Stenroos, L., & Väisänen, J.-M. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105155 · Cited by 495
Harnessing the digital economy for developing countries
(2016) · OECD Development Centre Working Papers · doi:10.1787/4adffb24-en · Cited by 246
Implementation of digital manufacturing technologies: Antecedents and consequences
Gillani, F., Chatha, K. A., Sadiq Jajja, M. S., & Farooq, S. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107748 · Cited by 209
Yuan, S., Musibau, H. O., Genç, S. Y., Shaheen, R., Ameen, A., & Tan, Z. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120533 · Cited by 186
Cited by
How does digital economy affect green total factor productivity? Evidence from China
Lyu, Y., Wang, W., Wu, Y., & Zhang, J. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159428 · Cited by 409
Tan, L., Yang, Z., Irfan, M., Ding, C. J., Hu, M., & Hu, J. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3584 · Cited by 268
Managing Human Resource in the Digital Economy: Balancing Challenges and Opportunities
Suwaji, R., Hepiyanto, Sabella, R. I., Waloyo, & Kurniawati, R. (2024) · Jurnal Informasi dan Teknologi · doi:10.60083/jidt.v6i2.535 · Cited by 2
Rahim, A., Ullah Jan, S., Ali, S., Shah, D., & Tahir, M. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-07406-6 · Cited by 1
Metadata
- Authors
- Zhang, W., Zhao, S., Wan, X., & Yao, Y.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2021-09-21
- Volume
- 16
- Issue
- 9
- Pages
- e0257365
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W3199955373
- Cited by
- 417
- References
- 19
- FWCI
- 58.71
- Type
- journal article
- Language
- en
- Open access
- gold
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