dc.contributor.author | Cong, Xuhui | |
dc.contributor.author | Wang, Sai | |
dc.contributor.author | Wang, Liang | |
dc.contributor.author | Šaparauskas, Jonas | |
dc.contributor.author | Górecki, Jarosław | |
dc.contributor.author | Skibniewski, Miroslaw Jan | |
dc.date.accessioned | 2023-09-18T16:25:51Z | |
dc.date.available | 2023-09-18T16:25:51Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2079-8954 | |
dc.identifier.other | (crossref_id)142072076 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113861 | |
dc.description.abstract | 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. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-22 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | DBLP Computer Science Bibliography | |
dc.relation.isreferencedby | Scopus | |
dc.source.uri | https://www.mdpi.com/2079-8954/10/6/205 | |
dc.title | Allocation efficiency measurement and Spatio-Temporal differences analysis of digital infrastructure: The case of China’s Shandong Province | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | 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/). | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 52 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Shandong University of Technology | |
dc.contributor.institution | Management School, Hainan University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Bydgoszcz University of Science and Technology | |
dc.contributor.institution | University of Maryland Polish Academy of Sciences, Gliwice ChaoYang University of Technology, Taichung Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dc.subject.vgtuprioritizedfields | EV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | digital infrastructure | |
dc.subject.en | allocation efficiency | |
dc.subject.en | spatio-temporal differences | |
dcterms.sourcetitle | Systems | |
dc.description.issue | iss. 6 | |
dc.description.volume | vol. 10 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 142072076 | |
dc.identifier.doi | 10.3390/systems10060205 | |
dc.identifier.elaba | 149331418 | |