Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/167571
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dc.titleINDEX DECOMPOSITION ANALYSIS FOR POLICY DEVELOPMENT AND ASSESSMENT: WITH APPLICATION TO ENERGY EFFICIENCY AND ELECTRICITY GENERATION
dc.contributor.authorGOH TIAN
dc.date.accessioned2020-04-30T18:01:08Z
dc.date.available2020-04-30T18:01:08Z
dc.date.issued2020-01-07
dc.identifier.citationGOH TIAN (2020-01-07). INDEX DECOMPOSITION ANALYSIS FOR POLICY DEVELOPMENT AND ASSESSMENT: WITH APPLICATION TO ENERGY EFFICIENCY AND ELECTRICITY GENERATION. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/167571
dc.description.abstractIndex decomposition analysis (IDA) has been used widely by researchers, national agencies and international organisations to analyse energy consumption and CO2 emission trends as part of the policy development process. The technique is well-established and methodological issues have largely been resolved. However, recent developments have introduced new challenges to the application of IDA. Not only have the energy systems of countries become more diverse in response to energy security and climate change concerns, policy needs have also evolved and there is now a greater focus on emission reductions and future emission scenarios. To enhance the relevance and usefulness of IDA, the application challenges in energy efficiency and electricity generation are examined in this study. Various approaches are compared and solutions to incorporate the energy sector and renewable energy in the IDA framework are proposed. New approaches are also developed for the analysis of economy-wide energy efficiency and emission scenarios.
dc.language.isoen
dc.subjectIndex decomposition analysis, Electricity generation, Energy efficiency, CO2 emissions, Climate change, Policy analysis
dc.typeThesis
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING & MGT
dc.contributor.supervisorAng Beng Wah
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (FOE)
dc.identifier.orcid0000-0002-8702-4907
Appears in Collections:Ph.D Theses (Open)

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