Data Transparency for Asia’s Power Sector Decarbonisation

The document argues that high-quality, open power sector data is essential for the coal-to-clean electricity transition in Asia, a region containing 80% of global coal generation. It details a research methodology used to evaluate data transparency in 39 economies across East, Southeast, South, Central, and West Asia, as well as Oceania, by assessing 74 data sources against criteria such as time and geographical granularity, publishing lag, and ease of access.

• Asia, including Central Asia and Oceania, is a critical region for global decarbonisation as it accounts for 62% of global power sector emissions and 80% of global coal generation.
• Electricity demand in Asia has grown at a rate of 4.5% annually over the last decade, which is approximately double the global average.
• There is a significant disparity in data availability between Asia and other regions; while most North American and European economies provide easy access to power sector data, monthly generation data in Asia can only be collected from a few economies.
• The report evaluated 74 official open-access public data providers across 39 economies in East Asia, Southeast Asia, South Asia, Oceania, Central Asia, and West Asia, excluding those with annual demand under 1 TWh.

APA

Ember (2023). Data Transparency for Asia’s Power Sector Decarbonisation. https://ember-energy.org/chapter/introduction/

Chicago

Ember. Data Transparency for Asia’s Power Sector Decarbonisation. 2023. https://ember-energy.org/chapter/introduction/.

Wikipedia

{{cite report |author=Ember |title=Data Transparency for Asia’s Power Sector Decarbonisation |date=4 May 2023 |url=https://ember-energy.org/chapter/introduction/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{ember2023data, author = {{Ember}}, title = {{Data Transparency for Asia’s Power Sector Decarbonisation}}, institution = {Ember}, year = {2023}, month = may, url = {https://ember-energy.org/chapter/introduction/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }