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DC poleHodnotaJazyk
dc.contributor.authorSaini, Mohan
dc.contributor.authorHrušecká, Denisa
dc.date.accessioned2021-06-14T07:04:38Z
dc.date.available2021-06-14T07:04:38Z
dc.date.issued2021
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2021, roč. 24, č. 2, s. 51-64.cs
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/43624
dc.format14 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.rightsCC BY-NC 4.0en
dc.subjectvývoj ekonomikycs
dc.subjectindex logistické výkonnostics
dc.subjectlogistické nákladycs
dc.subjectfuzzy množinycs
dc.subjectfsQCAcs
dc.subjectkvalitativní studiecs
dc.titleInfluence of logistics competitiveness and logistics cost on economic development: an fsQCA qualitative approachen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedLogistics is an important sector that determines a country’s economic strategy while attaining higher impetus in terms of globalization and competitiveness. Infrastructure along with trade friendly government policies are the key important parameters for a competitive logistics sector. One such method to evaluate competency is the logistics performance index (LPI) by the World Bank. This index evaluates the logistics performance of the economies of the world and rank them on the basis of six parameters (customs, infrastructure, timeliness, tracking & tracing, logistics competence and international shipments). This research study illustrates the impact of logistics costs (LC) and logistics competency parameters (LPI) on the economic development. The fuzzy set qualitative comparative analysis (fsQCA) methodology is applied to identify the causal configuration relations for higher values of economic development (GDP per capita). Eight major economies across Asia (China, India, Japan, Singapore), Europe (Germany, France), the UK and the USA have been studied for the analysis. The Czech Republic and Slovenia are also included to the list of countries to have a perspective of mid-sized economies. These mid-size economies are landlocked countries (Czech Republic) and a smaller port sector (Slovenia) for logistics. The results indicate two configurations of LPI and LC that lead to higher values of GDP per capita. The major contribution to the existing literature is in identifying the influence of LPI index parameters along with LC on the economic development. The associated results illustrate that logistics competence, infrastructure and tracking & tracing of LPI index are identified as the core parameters, resulting in the higher values of GDP per capita. The results offer various insights into future area of research for evaluating new parameters such a LC to be inducted in LPI for evaluating logistics performance.en
dc.subject.translatedeconomic developmenten
dc.subject.translatedlogistics performance indexen
dc.subject.translatedlogistics costen
dc.subject.translatedfuzzy setsen
dc.subject.translatedfsQCAen
dc.subject.translatedqualitative studyen
dc.identifier.doi10.15240/tul/001/2021-2-004
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 2 (2021)
Číslo 2 (2021)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Ekonomie a management
  5. 2021
  6. Číslo 2 (2021)