Key Indicators for Asia and the Pacific 2020

The Asian Development Bank (ADB) releases its annual Development Report, providing updated statistics on economic, financial, social, and environmental measures and select indicators for the Sustainable Development Goals. The report covers 49 regional members and discusses trends in development progress and the challenges to inclusive and sustainable development exacerbated by the COVID-19 pandemic. A special supplement explores how poverty estimates can be enhanced through data integration and artificial intelligence.

\n Format: Paperback / softback
\n Length: 330 pages
\n Publication date: 28 February 2021
\n Publisher: Asian Development Bank
\n

This comprehensive publication offers up-to-date statistics on a wide range of economic, financial, social, and environmental indicators, as well as select indicators for the Sustainable Development Goals (SDGs). Spanning 49 regional members of the Asian Development Bank (ADB), the report delves into trends in development progress and the challenges to inclusive and sustainable development that are likely to be exacerbated by the impact of the coronavirus disease (COVID-19) pandemic. In order to effectively implement the "leave no one behind" principle of the SDGs, the availability of more detailed and informative data is paramount. Accompanying the report is a special supplement, titled "Mapping Poverty through Data Integration and Artificial Intelligence." This supplement explores how poverty estimates can be enhanced by integrating household surveys and censuses with data extracted from satellite imagery, providing policy makers with more precise guidance for addressing poverty and promoting inclusive growth.

The report highlights the importance of data integration and artificial intelligence in poverty mapping and analysis. It emphasizes the need for accurate and timely data to inform policy decisions and interventions aimed at reducing poverty and promoting social inclusion. By leveraging advanced technologies such as satellite imagery and machine learning, the report suggests that poverty estimates can be refined and improved, providing a more comprehensive understanding of the distribution and severity of poverty across different regions and populations.

The supplement also showcases examples of successful data integration and artificial intelligence applications in poverty mapping and analysis. It highlights case studies from ADB and its partners, where these technologies have been used to identify areas of poverty, track progress in poverty reduction efforts, and design targeted interventions to address the root causes of poverty.

Overall, this publication serves as a valuable resource for policymakers, researchers, and development practitioners seeking to enhance their understanding of poverty and promote inclusive and sustainable development. By leveraging data integration and artificial intelligence, the report provides a roadmap for achieving the SDGs and leaving no one behind.

\n Weight: 1022g\n
Dimension: 279 x 214 x 27 (mm)\n
ISBN-13: 9789292623586\n \n