Environmental pollution and agricultural productivity in Pakistan: new insights from ARDL and wavelet coherence approaches

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dc.authoridUsman, Muhammad/0000-0002-6131-2118
dc.contributor.authorRamzan, Muhammad
dc.contributor.authorIqbal, Hafiz Arslan
dc.contributor.authorUsman, Muhammad
dc.contributor.authorOzturk, Ilhan
dc.date.accessioned2025-03-07T20:19:27Z
dc.date.available2025-03-07T20:19:27Z
dc.date.issued2022
dc.departmentÇağ Üniversitesi
dc.description.abstractThe most serious challenge to the global facade is figuring out how to mitigate pollution levels without compromising agricultural productivity. The spillover effect of environmental change is predicted to be very high, although it will differ by region and crop. Considering this view, this study tries to address this issue by adopting comprehensive methodologies to assess the influence of carbon dioxide (CO2) emissions, agricultural labor, land, feeds, and fertilizers on agricultural productivity in Pakistan from 1961 to 2018. The autoregressive distributive lag (ARDL) and wavelet transform coherence (WTC) approaches are applied to estimate the long-run and short-run elasticity estimates. The empirical findings discover that CO2 emissions, agricultural land, labor, feed, and fertilizers exert high pressure on agricultural productivity which is backed up by the WTC findings. Furthermore, the gradual shift causality test results reveal the presence of a unidirectional causality relationship between all regressors and agriculture productivity, demonstrating that all the factors significantly influence agriculture productivity. Moreover, these findings are robust to different robustness tests that we perform to test the reliability/accuracy of our core results. From policy perspectives, regulations must be developed to explore a practicable expansion strategy that includes the use of efficient fertilizers and feed at optimal levels, as well as environmental protection through public-private investment in the agricultural sector.
dc.identifier.doi10.1007/s11356-021-17850-3
dc.identifier.endpage28768
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue19
dc.identifier.pmid34988788
dc.identifier.scopus2-s2.0-85122296266
dc.identifier.scopusqualityQ1
dc.identifier.startpage28749
dc.identifier.urihttps://doi.org/10.1007/s11356-021-17850-3
dc.identifier.urihttps://hdl.handle.net/20.500.12507/3199
dc.identifier.volume29
dc.identifier.wosWOS:000739288200018
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20241226
dc.subjectCO2 emissions
dc.subjectAgricultural productivity
dc.subjectFertilizers
dc.subjectFeeds
dc.subjectWavelet coherence
dc.titleEnvironmental pollution and agricultural productivity in Pakistan: new insights from ARDL and wavelet coherence approaches
dc.typeArticle

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