Measurement of Chinas Digital Transformation Level Based on Input-Output Theory
Abstract
transformation indicators for each province from 2008 to 2022 to assess regional digital economy development and industrial digitalization progress. Amid the rapid growth of the digital economy, significant disparities exist in the digital transformation process across provinces, making precise evaluation crucial. By conducting an in-depth analysis of relevant provincial data, this study quantitatively reveals the
strengths and weaknesses of different provinces in digital transformation. The findings help clarify the current state of digital development
across regions, providing strong support for formulating region-specific digital development strategies, promoting regional coordination, and
achieving balanced nationwide digital economic growth.
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[1] Dacal-Nieto Angel, Areal Juan Jos, Alonso-Ramos Victor, et al. Integrating a Data Analytics System in Automotive Manufacturing:
Background, Methodology and Learned Lessons[J]. Procedia Computer Science, 2022, 200(05): 718-726.
[2] Xun Zhang, Guanghua Wan, Jiajia Wan, et al. Digital Economy, Inclusive Finance and Inclusive Growth[J]. Economic Research Journal,
2019, 54(08): 71-86.
[3] Zunyi Liu, Xikang Chen, Cuihong Yang, et al. Input-occupancy-output models of the non-competitive type and their application-an examination of the China-US trade surplus[J].Social Sciences in China, 2007(05):91-103+206-207.
[4] Carlos Llopis-Albert, Francisco Rubio, Francisco Valero. Impact of digital transformation on the automotive industry[J]. Technological
Forecasting & Social Change, 2021, 162(01): 1-9.
[5] Shuchun Liu. Targeting Path and Policy Supply for the High Quality Development of Chinas Digital Economy [J]. Economist, 2019, (06)
DOI: http://dx.doi.org/10.70711/memf.v2i5.6092
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