Effective energy data management for low-carbon growth planning: An analytical framework for assessment

Bo Liu, Meredydd Evans, Sha Yu, Volha Roshchanka, Srihari Dukkipati and Ashok Sreenivas

Energy Policy, 2017, vol. 107, issue C, 32-42

Abstract: Readily available and reliable energy data is fundamental to effective analysis and policymaking for the energy sector. Energy statistics of high quality, systematically compiled and effectively disseminated, not only support governments to ensure national security and evaluate energy policies, but they also guide investment decisions in both the private and public sectors. Because of energy's close link to greenhouse gas emissions, energy data has a particularly important role in assessing emissions and strategies to reduce emissions. In this study, energy data management in four countries – Canada, Germany, the United Kingdom and the United States – are examined from both organizational and operational perspectives. With insights from these best practices, we present a framework for the evaluation of national energy data management systems. It can be used by national statistics compilers to assess their chosen model and to identify areas for improvement. We then use India as a test case for this framework to assess how India may adapt and evolve its energy data management systems. Its government is working to enhance India's energy data management to improve sustainable growth planning.

Keywords: Keywords; Climate change; Energy data management; Low-carbon growth planning (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:107:y:2017:i:c:p:32-42

DOI: 10.1016/j.enpol.2017.03.059

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