Exploring the grazing land footprint’s stochastic behavior in the top dairy and meat-producing nations

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dc.authorid0000-0001-8453-9940
dc.authorid0000-0001-8769-9122
dc.authorid0000-0003-2839-4403
dc.authorid0000-0002-1305-5727
dc.contributor.authorAdalı, Zafer
dc.contributor.authorYeter, Fatih
dc.contributor.authorÇoban, Mustafa Necati
dc.contributor.authorSarı, Sacit
dc.date.accessioned2025-06-19T11:38:15Z
dc.date.available2025-06-19T11:38:15Z
dc.date.issued2025
dc.departmentAÇÜ, Hopa İktisadi ve İdari Bilimler Fakültesi, İktisat Bölümü
dc.description.abstractThe Sustainable Development Goals (SDGs) are a set of influential and easily understood sustainability principles. SDG2 defines Zero Hunger, which is once again a key goal in the SDGs. A sustainable food system depends on the grazing land footprint, one of the elements of the ecological footprint. For food security to be maintained, the grazing land footprint has to be taken into consideration. In order to provide adequate global food systems and mitigate climate change, research on the stochastic features of grazing land footprint is crucial. The goal of this research is to look at the stochastic characteristics of the grazing land footprint in 13 nations that produce almost two-thirds of the world’s milk and meat. The study includes data for 13 nations over the years 1961–2022. Several unit root tests are conducted to provide more precise data about the effectiveness of the policy shocks, including whether or not they allow for repeated, smooth structural breakdowns. The results show that because the series is prone to following its long-term trends, shocks cannot lead it to diverge from those trends. Thus, any shocks brought on by policies cannot have a lasting effect on the series. However, the series includes a unit root. The unit root tests have made it clear that any policy shocks would have a long-lasting effect on the series and that policymakers may set a goal for the series. Policy suggestions have been provided for the investigated nations in conjunction with these results.
dc.identifier.doi10.1007/s10666-024-10016-8
dc.identifier.endpage123
dc.identifier.issn14202026
dc.identifier.issue1
dc.identifier.scopus2-s2.0-86000376187
dc.identifier.scopusqualityQ2
dc.identifier.startpage107
dc.identifier.urihttps://hdl.handle.net/11494/5540
dc.identifier.volume30
dc.identifier.wosWOS:001379386000001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAdalı, Zafer
dc.institutionauthorid0000-0001-8453-9940
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofEnvironmental Modeling and Assessment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectEcological footprint
dc.subjectGrazing land footprint
dc.subjectSustainable development goals
dc.subjectUnit root test
dc.titleExploring the grazing land footprint’s stochastic behavior in the top dairy and meat-producing nations
dc.typeArticle

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