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Agricultural Land, Sustainable Food and Crop Productivity: An Empirical Analysis on Environmental Sustainability as a Moderator from the Economy of China

datacite.subject.fosCiências Sociais
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorFahmida Lagharien_US
dc.contributor.authorFarhan Ahmeden_US
dc.contributor.authorBabar Ansarien_US
dc.contributor.authorPaulo Jorge Silveira Ferreiraen_US
dc.date.accessioned2025-12-12T11:45:03Z
dc.date.available2025-12-12T11:45:03Z
dc.date.issued2025-02-25en_US
dc.date.updated2025-12-05T21:19:03Z
dc.description.abstractThe availability of agricultural land is central to stimulating reserves in sustainable food and crop production amidst accelerating economic sustainability and growth. Therefore, this article aims to investigate the influence of agricultural land (AGL) on food production (FP) and crop production (CP) with the linkage of environmental sustainability (ES) as a moderator from 1990 to 2021 for the economy of China with the autoregressive distributed lag (ARDL) bounds testing estimation model. Our findings showed that the ARDL model estimates the long-term and short-term joint matching relationships between agricultural land and the independent variables in the model, which is a statistically significant outcome. Therefore, in the long term, the food and crop production adjustment for speed to steadiness was huge as it was projected at 1.337%, 53.6%, 133.5%, and 37.4%, respectively, in all the models, which shows that the adjustment for speed of models is a good post-shock association process. We found evidence for a significant and positive relationship between agricultural land and food and crop production in ordinary least square (OLS) estimation, which also ensured the outcomes of the primary model. Furthermore, Toda–Yamamoto Granger causality test estimation found reverse causality between food production (FP) and crop production (CP) and showed evidence of the conservation hypothesis. We found bidirectional causality between food production and agricultural land and between crop production and agricultural land, which shows evidence of the feedback hypothesis. Additionally, the empirical findings of a robustness check with fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) techniques showed consistency with the investigations of ARDL estimation in the long run, ensuring the validity and strength of the primary outcomes. Overall, the present paper brings fresh knowledge about agricultural land use, and food and crop production to promote environmental sustainabilityeng
dc.description.versionN/A
dc.identifier.citationLaghari, F., Ahmed, F., Ansari, B., & Silveira Ferreira, P. J. (2025). Agricultural Land, Sustainable Food and Crop Productivity: An Empirical Analysis on Environmental Sustainability as a Moderator from the Economy of China. Sustainability, 17(5), 1980. https://doi.org/10.3390/su17051980
dc.identifier.doi10.3390/su17051980en_US
dc.identifier.slugcv-prod-4479181
dc.identifier.urihttp://hdl.handle.net/10400.26/60347
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectagricultural land
dc.subjectfood production
dc.subjectcrop production
dc.subjectenvironmental sustainability
dc.subjectChina
dc.titleAgricultural Land, Sustainable Food and Crop Productivity: An Empirical Analysis on Environmental Sustainability as a Moderator from the Economy of Chinaen_US
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.citation.titleSustainabilityen_US
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
rcaap.cv.cienciaidB513-B46A-E5F3 | Paulo Jorge Silveira Ferreira
rcaap.rightsopenAccessen_US

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