Understanding patterns of climate resilient economic development: a synthesis
Summary
The synthesis identifies significant data availability and quality gaps as primary constraints in analyzing climate-resilient economic development, particularly regarding high-resolution geographical data and disaggregated household information.
Key insights
- Data availability and quality acted as a binding constraint for the case studies because adaptation is context-specific and requires high geographical resolution for evidence-based conclusions.
- Obtaining data for adaptation impacts and the distributional patterns of development is difficult, costly, or rare, with these challenges intensifying at the municipal or city scale compared to the national scale.
Cite the original document
- APA
- Climate and Development Knowledge Network (2016). Understanding patterns of climate resilient economic development: a synthesis. https://cdkn.org/resource/understanding-patterns-of-climate-resilient-economic-development-a-synthesis
- Chicago
- Climate and Development Knowledge Network. Understanding patterns of climate resilient economic development: a synthesis. 2016. https://cdkn.org/resource/understanding-patterns-of-climate-resilient-economic-development-a-synthesis.
- Wikipedia
- {{cite report |author=Climate and Development Knowledge Network |title=Understanding patterns of climate resilient economic development: a synthesis |date=2 February 2016 |url=https://cdkn.org/resource/understanding-patterns-of-climate-resilient-economic-development-a-synthesis |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{climateanddevelopmentknowledgenetwork2016understanding, author = {{Climate and Development Knowledge Network}}, title = {{Understanding patterns of climate resilient economic development: a synthesis}}, institution = {Climate and Development Knowledge Network}, year = {2016}, month = feb, url = {https://cdkn.org/resource/understanding-patterns-of-climate-resilient-economic-development-a-synthesis}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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