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dc.contributor.authorWang, Xiaoling
dc.contributor.authorShao, Qinglong
dc.contributor.authorNathwani, Jatin
dc.contributor.authorZhou, Qian 17:27:15 (GMT) 17:27:15 (GMT)
dc.descriptionThe final publication is available at Elsevier via © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.description.abstractA quantitative measure of performance that integrates national-level carbon emission profiles with key parameters of social and economic wellbeing can provide an effective management tool for policy interventions. This paper constructs non-parametric evaluation and decomposition models using hybrid measure and meta-frontier techniques. The proposed models are employed to estimate the wellbeing performance of carbon emissions (WPCE) and identify the sources of WPCE inefficiency. Empirical analyses based on the Group 20 (G20) countries for the 2000–2015 period shows the worst performance is in the BRICS country group (i.e. Brazil, Russia, India, China, and South Africa) – known for rapid growth – whereas the developed and the developing economies of the G20 group show positive trajectories of performance. As for China, its performance measure of WPCE was the lowest among the G20 indicating significant potential for further improvement. The analysis also highlights the role of managerial failure as the primary driver of inefficiency, more important than technological inefficiency in explaining efficiency loss within the G20 countries. This critical finding – the relevance and importance of managerial capability – suggests the need for a high level of attention to governance and managerial capacity to ensure continued improvements in performance on carbon emissions and human wellbeing. A lesson to be drawn from this study is that China's policies to promote a low carbon economy can benefit from increased priority given to low-carbon technological innovation for the energy system transition and enhancement of environmental governance and managerial capacity to achieve a long-term sustainability.en
dc.description.sponsorshipWe gratefully acknowledge financial support from the National Natural Science Foundation of China (71704010 and 71771024), the Chinese National Funding of Social Sciences (18CGL008), Humanities and Social Science project of Ministry of Education of China (17YJC630163), the Social Science Fund of Beijing (18JDYJB021), and the China Postdoctoral Science Foundation (2019M653047). Professor Jatin Nathwani holds the Ontario Research Chair in Public Policy for Sustainable Energy at the University of Waterloo, Waterloo, Canada and acknowledges the financial contribution by the Council of Ontario Universities (COU)to the endowed Research Chair.en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectwellbeing performance of carbon emissionsen
dc.subjecttechnical heterogeneityen
dc.subjectundesirable hybrid DEAen
dc.subjectmeta-frontier analysisen
dc.subjectGroup of 20 (G20)en
dc.titleMeasuring wellbeing performance of carbon emissions using hybrid measure and meta-frontier techniques: Empirical tests for G20 countries and implications for Chinaen
dcterms.bibliographicCitationXiaoling Wang, Qinglong Shao, Jatin Nathwani, Qian Zhou, Measuring wellbeing performance of carbon emissions using hybrid measure and meta-frontier techniques: Empirical tests for G20 countries and implications for China, Journal of Cleaner Production (2019), doi: 10.1016/j.jclepro.2019.117758en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Management Sciencesen
uws.contributor.affiliation2Waterloo Institute for Sustainable Energy (WISE)en

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