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Influence of logistics competitiveness and logistics cost on economic development: An FSQCA qualitative approach

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dc.title Influence of logistics competitiveness and logistics cost on economic development: An FSQCA qualitative approach en
dc.contributor.author Saini, Mohan
dc.contributor.author Hrušecká, Denisa
dc.relation.ispartof E & M Ekonomie a Management
dc.identifier.issn 1212-3609 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
utb.relation.volume 24
utb.relation.issue 2
dc.citation.spage 51
dc.citation.epage 64
dc.type article
dc.language.iso en
dc.publisher Technical Univ Liberec
dc.identifier.doi 10.15240/tul/001/2021-2-004
dc.relation.uri https://dspace.tul.cz/bitstream/handle/15240/160019/EM_2_2021_04.pdf
dc.subject economic development en
dc.subject logistics performance index en
dc.subject logistics cost en
dc.subject fuzzy sets en
dc.subject fsQCA en
dc.subject qualitative study en
dc.description.abstract Logistics 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
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1010422
utb.identifier.obdid 43882502
utb.identifier.scopus 2-s2.0-85108989857
utb.identifier.wok 000660030400004
utb.source J-wok
dc.date.accessioned 2021-07-09T11:31:06Z
dc.date.available 2021-07-09T11:31:06Z
dc.description.sponsorship Internal Grant Agency of FaME TBU in Zlin [IGA/FaME/2021/002]
dc.description.sponsorship IGA/FaME/2021/002
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.access openAccess
utb.ou Department of Industrial Engineering and Information Systems
utb.contributor.internalauthor Saini, Mohan
utb.contributor.internalauthor Hrušecká, Denisa
utb.fulltext.affiliation Mohan Saini1, Denisa Hrušecká2 1 Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Industrial Engineering and Information Systems, Czech Republic, ORCID: 0000-0002-4506-4425, saini@utb.cz; 2 Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Industrial Engineering and Information Systems, Czech Republic, ORCID: 0000-0003-1459-0040, hrusecka@utb.cz.
utb.fulltext.dates -
utb.fulltext.sponsorship The authors are thankful to the Internal Grant Agency of FaME TBU in Zlín No. IGA/FaME/2021/002 for the financial support to carry out this research.
utb.wos.affiliation [Saini, Mohan; Hrusecka, Denisa] Tomas Bata Univ Zlin, Fac Management & Econ, Dept Ind Engn, Zlin, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Management and Economics, Department of Industrial Engineering and Information Systems, Czech Republic
utb.fulltext.projects IGA/FaME/2021/002
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Industrial Engineering and Information Systems
utb.fulltext.ou Department of Industrial Engineering and Information Systems
utb.identifier.jel O40
utb.identifier.jel O57
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