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A critical assessment of a protected area conflict analysis based on secondary data in the age of datafication
Jagiellonian Univ Krakow, Poland.
Jagiellonian Univ Krakow, Poland.
Linnaeus University, School of Business and Economics, Department of Management (MAN). Jagiellonian Univ Krakow, Poland.ORCID iD: 0000-0001-6743-4725
Jagiellonian Univ Krakow, Poland.
2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 8028Article in journal (Refereed) Published
Abstract [en]

Recently, a global trend towards a broader use of secondary data in social sciences has been reinforced by the COVID-19 pandemic. This evoked doubts about the validity of the results unless restrictive assessment procedures are implemented. To address this need in the field of protected area (PA) conflict analysis, we propose a three-fold approach (theory-, method-, and cross-scale simulation-driven) to assess the usefulness of the utilized state register dataset and the indicator analysis methodology for the multi-level recognition of PA conflict determinants. With the ultimate aim to inform case study selection, we processed 187 relevant indicators from the official Statistics Poland register for a Lesser Poland region. We distinguished five types of PA conflict determinants in Lesser Poland ('urbanity', 'agriculture', 'tourism', 'small-scale entrepreneurship', and 'sprawl') and respective groups of 15 clusters comprising local-level units. For one cluster, we juxtaposed the obtained results with secondary data from another source (Internet content) and for a specific PA (Tatra National Park). Although the reported conflict issues corresponded to the indicator-derived descriptors of the cluster, in the theory-driven phase of the assessment, the state register failed to address the key prerequisites of PA conflicts. We have demonstrated that, in crisis conditions such as COVID-19, the proposed method can serve as a proxy for a multi-level recognition of PA conflict potentials, provided that it synthesises the results of different methodological approaches, followed by in-person interviews in the selected case studies.

Place, publisher, year, edition, pages
Nature Publishing Group, 2023. Vol. 13, no 1, article id 8028
National Category
Social Sciences Interdisciplinary
Research subject
Economy
Identifiers
URN: urn:nbn:se:lnu:diva-123504DOI: 10.1038/s41598-023-35067-xISI: 000995271600089PubMedID: 37198389Scopus ID: 2-s2.0-85159684014OAI: oai:DiVA.org:lnu-123504DiVA, id: diva2:1786508
Available from: 2023-08-09 Created: 2023-08-09 Last updated: 2023-08-24Bibliographically approved

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Akhshik, Arash

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