What is the level of spatial autocorrelation of the green economy? The case study of voivodships in Poland

Simple item page
dc.contributor.authorDziekanski, Pawel
dc.contributor.authorPoplawski, Lukasz
dc.contributor.authorGlova, Jozef
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2025-06-09T09:29:32Z
dc.date.available2025-06-09T09:29:32Z
dc.description.abstractIn an era of resource scarcity, climate change, and environmental degradation, the growth of a green economy necessitates a new course for socio-economic development that successfully pursues sustainable development objectives. Among other things, variables related to demographics, the environment, technology, the economy, and society all contribute to its polarisation. The aim of the study is to understand what factors influence the development of the green economy in the various provinces of Poland, and how these factors may be related to each other in a spatial context. The selection of factors from 2010 to 2020 was the availability of Statistics Poland records. The study offers a spatial analysis of Poland’s green economy in its provinces in 2010, 2019, and 2020. Spatial autocorrelation was found using spatial statistical methods, and the geographical pattern of the green economy’s formation was shown. These analyses used measures of spatial autocorrelation, which allowed for the identification of spatial relationships of a particular characteristic throughout the whole research region and the connection between a particular place and nearby locations. Due to a combination of natural and geographic features, as well as the impact of socio-economic factors, each province in the nation has a unique economic climate, which determines its level of development and standard of life.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2025-2-002
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/176873
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectGreen economyen
dc.subjectspatial differentiationen
dc.subjectprovinceen
dc.subjectspatial autocorrelation measureen
dc.subjectlocal Moran’s coefficienten
dc.subjectglobal Moran’s coefficienten
dc.subjectsynthetic measureen
dc.subject.classificationC21
dc.subject.classificationR12
dc.titleWhat is the level of spatial autocorrelation of the green economy? The case study of voivodships in Polanden
dc.typeArticleen
local.accessopen
local.citation.epage48
local.citation.spage25
local.facultyFaculty of Economics
local.filenameEM_2_2025_02
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume28
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
EM_2_2025_02.pdf
Size:
2.91 MB
Format:
Adobe Portable Document Format
Description:
člověk
Download
Collections
Číslo 2