Allocation efficiency measurement and Spatio-Temporal differences analysis of digital infrastructure: The case of China’s Shandong Province
| Author | Affiliation | |||
|---|---|---|---|---|
Cong, Xuhui | Shandong University of Technology | |||
Wang, Sai | Shandong University of Technology | |||
Wang, Liang | Management School, Hainan University | |||
Górecki, Jarosław | Bydgoszcz University of Science and Technology | |||
Polish Academy of Sciences, Gliwice | ChaoYang University of Technology, Taichung | Vilniaus Gedimino technikos universitetas |
| Year | Volume | Issue | Start Page | End Page |
|---|---|---|---|---|
2022 | 10 | 6(205) | 1 | 22 |
| URI | Access Rights |
|---|---|
| https://hdl.handle.net/20.500.14911/113861 | |
| https://www.mdpi.com/2079-8954/10/6/205 | Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access) |
After Shandong Province started the construction about digital infrastructure, the construction of digital infrastructure reached social consensus, promoting digital development of the province. However, it inevitably exposed problems such as non-targeted policies and uneven development levels. This study uses the non-expectation super-efficiency SBM model and kernel density estimation method to compare the digital infrastructure allocation efficiency of 16 prefecture-level cities in Shandong Province and analyzes the spatial and temporal differences. Results show that the overall level of digital infrastructure allocation efficiency in Shandong Province shows a steady and policy-stimulated growth, but no high-value aggregation area has been formed and regional synergistic development remains to be strengthened. Recommendations are provided on four aspects: increased government expenditure, policy heterogeneity, attention to low-level construction areas, and promotion of regional synergistic development to improve the construction of digital infrastructure in Shandong and sustain its strong digital thrust.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/
4.0/).