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dc.contributor.authorCong, Xuhui
dc.contributor.authorQi, Zhipeng
dc.contributor.authorWang, Sai
dc.contributor.authorSu, Peikun
dc.contributor.authorWang, Liang
dc.contributor.authorŠaparauskas, Jonas
dc.contributor.authorGórecki, Jarosław
dc.contributor.authorSkibniewski, Miroslaw Jan
dc.date.accessioned2023-12-22T07:07:14Z
dc.date.available2023-12-22T07:07:14Z
dc.date.issued2023
dc.identifier.other(crossref_id)153783610
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153804
dc.description.abstractThe construction and development of the Blue Economic Zone on the Shandong Peninsula in China was elevated to a national strategy in 2011, and it has achieved year-on-year economic growth, driving the economic development of Shandong Province. However, it has also generated problems, such as a fragile ecological environment, unbalanced regional development, and prominent human–land conflicts. Therefore, on the basis of the idea of green sustainable development, this paper measures the ecological welfare performance of seven prefecture-level cities in the Blue Economic Zone of Shandong Peninsula from 2011 to 2020 using an entropy-weighted model together with the TOPSIS method. It then analyzes their spatial distribution characteristics using the natural breaks method. Our findings show that the overall ecological welfare performance level in the Shandong Peninsula BEZ shows a stable upward trend, and that the ecological welfare performance of each city is similar to that of the divided region. The ecological welfare performance levels of Weifang, Rizhao, and Binzhou are relatively low. Dongying, Weihai, Qingdao, and Yantai form a cluster of cities with high ecological welfare performance. Therefore, for the advancement of the Shandong Peninsula BEZ, the government should the government should reasonably deploy the industrial structure; actively implement industrial transformation; strengthen the synergistic development among cities to achieve complementary advantages, coordinating the growth of rural and urban areas; and improve the social security system to achieve high-quality sustainable development in the Shandong Peninsula BEZ.eng
dc.formatPDF
dc.format.extentp. 1-15
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.source.urihttps://www.mdpi.com/2073-445X/12/10/1886
dc.titleEcological welfare performance evaluation and spatial–temporal difference evolution of blue economic zones: A case study of the blue economic zone of Shandong Peninsula
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.references46
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionShandong University of Technology
dc.contributor.institutionHainan University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionBydgoszcz University of Science and Technology
dc.contributor.institutionUniversity of Maryland Polish Academy of Sciences Chaoyang University of Technology Vilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.vgtuprioritizedfieldsSD0202 - Aplinką tausojančios statybinės medžiagos ir technologijos / Low emissions building materials and technologies
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enBlue Economic Zone
dc.subject.enecological welfare performance
dc.subject.enTOPSIS model
dc.subject.ennatural breaks method
dc.subject.enspatial and temporal variation
dc.subject.enentropy-weighted model
dcterms.sourcetitleLand: Geospatial Data in Land Suitability Assessment
dc.description.issueiss. 10
dc.description.volumevol. 12
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi153783610
dc.identifier.doi2-s2.0-85175084822
dc.identifier.doi85175084822
dc.identifier.doi1
dc.identifier.doi001089377600001
dc.identifier.doi10.3390/land12101886
dc.identifier.elaba181213324


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