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dc.contributor.authorKhan, Arshad Ahmad
dc.contributor.authorKhan, Sufyan Ullah
dc.contributor.authorAli, Muhammad Abu Sufyan
dc.contributor.authorKhan, Aftab Ahmad
dc.contributor.authorHayat, Yousaf
dc.contributor.authorLuo, Jianchao
dc.date.accessioned2023-03-29T12:27:03Z
dc.date.available2023-03-29T12:27:03Z
dc.date.created2022-09-28T10:37:10Z
dc.date.issued2022
dc.identifier.citationKhan, A. A., Khan, S. U., Ali, M. A. S., Khan, A., Hayat, Y., & Luo, J. (2022). Drivers of climate variability and increasing water salinity impacts on the farmer’s income risk with future outlook mitigation. International Journal of Climate Change Strategies and Management, (ahead-of-print).en_US
dc.identifier.issn1756-8692
dc.identifier.urihttps://hdl.handle.net/11250/3060927
dc.description.abstractPurpose The main aim of this study is to investigate the impact of climate change and water salinity on farmer’s income risk with future outlook mitigation. Salinity and climate change are a threat to agricultural productivity worldwide. However, the combined effects of climate change and salinity impacts on farmers' income are not well understood, particularly in developing countries. Design/methodology/approach The response-yield function and general maximum entropy methods were used to predict the impact of temperature, precipitation and salinity on crop yield. The target minimization of total absolute deviations (MOTAD)-positive mathematical programming model was used to simulate the impact of climate change and salinity on socioeconomic and environmental indicators. In the end, a multicriteria decision-making model was used, aiming at the selection of suitable climate scenarios. Findings The results revealed that precipitation shows a significantly decreasing trend, while temperature and groundwater salinity (EC) illustrate a significantly increasing trend. Climate change and EC negatively impact the farmer's income and water shadow prices. Maximum reduction in income and water shadow prices was observed for A2 scenario (−12.4% and 19.4%) during 2050. The environmental index was the most important, with priority of 43.4% compared to socioeconomic indicators. Subindex amount of water used was also significant in study area, with 28.1% priority. The technique for order preference by similarity to ideal solution ranking system found that B1 was the best climatic scenario for adopting climate change adaptation in the research region. Originality/value In this study, farmers' income threats were assessed with the aspects of different climate scenario (A1, A1B and B1) over the horizons of 2030, 2040 and 2050 and three different indicators (economic, social and environmental) in Northwestern region of Pakistan. Only in arid and semiarid regions has climate change raised temperature and reduced rainfall, which are preliminary symptoms of growing salinity.en_US
dc.language.isoengen_US
dc.publisherEmeralden_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDrivers of climate variability and increasing water salinity impacts on the farmer’s income risk with future outlook mitigationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authorsen_US
dc.subject.nsiVDP::Landbruks- og Fiskerifag: 900en_US
dc.source.journalInternational Journal of Climate Change Strategies and Managementen_US
dc.identifier.doi10.1108/IJCCSM-08-2021-0092
dc.identifier.cristin2056231
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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