2024
DOI: 10.1016/j.clrc.2024.100179
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The effect of green competencies and values on carbon footprint on sustainable performance in healthcare sector

Reda Shaker Abdelkareem,
Khalid Mady,
Shahesta Elsaid Lebda
et al.
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Cited by 4 publications
(2 citation statements)
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“…They found that an individual's willingness to pay to offset his or her carbon footprint is positively correlated with income, education, carbon literacy and environmental preferences [32]. Abdelkareem et al found that green competence had a positive and significant shadow on willingness to reduce carbon footprint and that willingness to reduce carbon footprint was also an important factor in enhancing sustainable performance in the healthcare sector [2]. Liu et al simulated the decision of purchasing carbon emission rights and combined the operation management of carbon assets with the investment in carbon financial market, providing a valuable reference for alleviating environmental problems and improving the carbon market [24].…”
Section: 2mentioning
confidence: 99%
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“…They found that an individual's willingness to pay to offset his or her carbon footprint is positively correlated with income, education, carbon literacy and environmental preferences [32]. Abdelkareem et al found that green competence had a positive and significant shadow on willingness to reduce carbon footprint and that willingness to reduce carbon footprint was also an important factor in enhancing sustainable performance in the healthcare sector [2]. Liu et al simulated the decision of purchasing carbon emission rights and combined the operation management of carbon assets with the investment in carbon financial market, providing a valuable reference for alleviating environmental problems and improving the carbon market [24].…”
Section: 2mentioning
confidence: 99%
“…Our research provides a valuable reference for firms to set an appropriate level of green technology innovation and cope with the adverse effects of the widespread implementation of carbon footprint labeling in the future. (2) We construct three decision models: the no-subsidy model (model N), the carbon footprint reduction rate subsidy model (model C), and the green technology innovation cost subsidy model (model I). Then we study the incentive effect of different government subsidy approaches on OEM's green technology innovation and the impact on firms' profits, the environment, consumer surplus, and social welfare.…”
mentioning
confidence: 99%