A quantitative analysis of low carbon performance in industrial sectors of developing world

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dc.authoridErsoz, Filiz/0000-0002-4964-8487
dc.authoridWeber, Gerhard-Wilhelm/0000-0003-0849-7771
dc.authoridAltaf, Bothinah/0000-0002-6541-8032
dc.authoridAli, Sadia Samar/0000-0003-4911-5725
dc.contributor.authorAli, Sadia Samar
dc.contributor.authorErsoz, Filiz
dc.contributor.authorKaur, Rajbir
dc.contributor.authorAltaf, Bothinah
dc.contributor.authorWeber, Gerhard-Wilhelm
dc.date.accessioned2024-09-29T15:57:30Z
dc.date.available2024-09-29T15:57:30Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe world is moving towards carbon restricted scenario where excellence and growth in business is contingent upon good governance and excellent low carbon emission related policies, strategies, and long-term values to stay ahead in competition. Existing research insists that multiple external pressures push organizations to navigate towards sustainable internal practices leading to low carbon performance. Rooted in the theoretical concepts of institutional and contingency theory, this study explores the impact of uncertainties of external business environment on complexities of business internal environment. Hypothesis developed is tested by taking data from 134 manufacturing organizations based on their size and sector, and sustainability practices. The data is analyzed using correlation and multiple linear regression analysis (MLR). Chi-square, Cramer's V and MLR is used for regression analysis and correlation whereas ANN is applied for validating the robustness of the MLR model. Comparison of results of MLR and ANN provide similar outcomes. Results rule out the impact of size of organizations on carbon performance. 'Environmental regulations activities' and 'political and legal regulations' along with efficient implementation of Corporate Social Responsibility (CSR)/Sustainability activities backed by top management are the main contributors of low carbon performance. The study identified the 'interest of foreign investors' in the region as one of areas requiring further exploration for improved carbon performance. Mode of technology came as major roadblock for low carbon performance and requires top management to ponder over for improved results. Also, found wanting for improvement are-modes of transport, employee motivation and external stakeholders. (C) 2020 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipDeanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah [FP-198-42]; DSRen_US
dc.description.sponsorshipWe express our gratitude to the managers and other staff members of the manufacturing organizations, industry and academia experts who provided support and vision for the completion of this study. We also thank our members of the data collection team who supported our efforts with their keen involvement and enthusiasm and also all the respondents for their participation in the survey. This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. FP-198-42. The authors, therefore, acknowledge with thanks DSR for technical and financial support.en_US
dc.identifier.doi10.1016/j.jclepro.2020.125268
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.scopus2-s2.0-85097063986en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.jclepro.2020.125268
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4836
dc.identifier.volume284en_US
dc.identifier.wosWOS:000609033000005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofJournal of Cleaner Productionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLow carbon performanceen_US
dc.subjectExternal pressuresen_US
dc.subjectInternal practicesen_US
dc.subjectTop managementen_US
dc.subjectCSR/Sustainabilityen_US
dc.subjectMultiple linear regressionen_US
dc.subjectArtificial neural networken_US
dc.titleA quantitative analysis of low carbon performance in industrial sectors of developing worlden_US
dc.typeArticleen_US

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