Brick Sector Bangladesh
Summary
This research paper analyzes the diffusion of cleaner brick-making technologies in Bangladesh, evaluating government mandates, the role of development cooperation, and the potential emission reductions from kiln conversion.
Key insights
- The government of Bangladesh has utilized technology mandates to drive substitution in the brick industry, but the goal of 100% substitution by 2013 was not met. Modeling based on historical data suggests that 100% substitution is unlikely to be achieved by 2035, despite being a priority in the updated Nationally Determined Contribution (NDC).
- A 2020 study by the Stockholm Environment Institute (SEI) determined that converting 100% of traditional kilns to energy efficient kilns—the most effective measure in the first NDC—could reduce carbon dioxide emissions by 1177 kilotonnes, Black Carbon (BC) by 11 kilotonnes, and PM2.5 load by 13 kilotonnes compared to the 2030 baseline.
- An analysis of development agency projects over the past twenty years using innovation system literature functions reveals that donor efforts have been most active within the 'Guidance of Search' and 'Creation of Legitimacy' functions.
Cite the original document
- APA
- Stockholm Environment Institute (2023). Brick Sector Bangladesh. https://www.sei.org/publications/brick-sector-bangladesh/
- Chicago
- Stockholm Environment Institute. Brick Sector Bangladesh. 2023. https://www.sei.org/publications/brick-sector-bangladesh/.
- Wikipedia
- {{cite report |author=Stockholm Environment Institute |title=Brick Sector Bangladesh |date=13 March 2023 |url=https://www.sei.org/publications/brick-sector-bangladesh/ |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{stockholmenvironmentinstitute2023brick, author = {{Stockholm Environment Institute}}, title = {{Brick Sector Bangladesh}}, institution = {Stockholm Environment Institute}, year = {2023}, month = mar, url = {https://www.sei.org/publications/brick-sector-bangladesh/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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