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dc.contributor.authorCong, Xuhui
dc.contributor.authorWang, Sai
dc.contributor.authorWang, Liang
dc.contributor.authorŠaparauskas, Jonas
dc.contributor.authorGórecki, Jarosław
dc.contributor.authorSkibniewski, Miroslaw Jan
dc.date.accessioned2023-09-18T16:25:51Z
dc.date.available2023-09-18T16:25:51Z
dc.date.issued2022
dc.identifier.issn2079-8954
dc.identifier.other(crossref_id)142072076
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/113861
dc.description.abstractAfter 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.formatPDF
dc.format.extentp. 1-22
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyDBLP Computer Science Bibliography
dc.relation.isreferencedbyScopus
dc.source.urihttps://www.mdpi.com/2079-8954/10/6/205
dc.titleAllocation efficiency measurement and Spatio-Temporal differences analysis of digital infrastructure: The case of China’s Shandong Province
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis 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.licenseCreative Commons – Attribution – 4.0 International
dcterms.references52
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionShandong University of Technology
dc.contributor.institutionManagement School, Hainan University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionBydgoszcz University of Science and Technology
dc.contributor.institutionUniversity of Maryland Polish Academy of Sciences, Gliwice ChaoYang University of Technology, Taichung Vilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.endigital infrastructure
dc.subject.enallocation efficiency
dc.subject.enspatio-temporal differences
dcterms.sourcetitleSystems
dc.description.issueiss. 6
dc.description.volumevol. 10
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi142072076
dc.identifier.doi10.3390/systems10060205
dc.identifier.elaba149331418


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