scholarly journals Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

2021 ◽  
Keyword(s):  
Satellite Imagery ◽  
The Philippines ◽  
Asian Development Bank ◽  
Machine Learning Algorithms ◽  
Sample Survey ◽  
Development Bank ◽  
Survey Techniques ◽  
2030 Agenda ◽  
The World ◽  
National Trends

The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank, in collaboration with the Philippine Statistics Authority and the World Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines. This report documents the results of the study, which capitalized on satellite imagery, geospatial data, and powerful machine-learning algorithms to augment conventional data collection and sample survey techniques.

scholarly journals Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines

2021 ◽  
Keyword(s):  
Satellite Imagery ◽  
The Philippines ◽  
Asian Development Bank ◽  
Machine Learning Algorithms ◽  
Sample Survey ◽  
Development Bank ◽  
High Quality ◽  
2030 Agenda ◽  
The World ◽  
National Trends

The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank, in collaboration with the Philippine Statistics Authority and the World Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines. This report documents the results of the study, which capitalized on satellite imagery, geospatial data, and powerful machine-learning algorithms to augment data collection and sample survey techniques.conventional

scholarly journals A Guidebook on Mapping Poverty through Data Integration and Artificial Intelligence

2021 ◽  
Keyword(s):  
The Philippines ◽  
Machine Learning Algorithms ◽  
Sample Survey ◽  
Development Bank ◽  
Survey Techniques ◽  
2030 Agenda ◽  
The Pacific ◽  
Special Supplement ◽  
Key Indicators ◽  
National Statistical Office

The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators to be estimated for different segments of a country’s population. The Asian Development Bank, in collaboration with the Philippine Statistics Authority, the National Statistical Office of Thailand, and the World Data Lab, conducted a feasibility study that aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines and Thailand. This accompanying guide to the Key Indicators for Asia and the Pacific 2020 special supplement is based on the study, capitalizing on satellite imagery, geospatial data, and powerful machine-learning algorithms to augment conventional data collection and sample survey techniques.

scholarly journals Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand

2021 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Survey Methods ◽  
Asian Development Bank ◽  
Data Sources ◽  
Development Bank ◽  
High Quality ◽  
2030 Agenda ◽  
Algorithmic Techniques ◽  
National Trends ◽  
National Statistical Office

The “leave no one behind” principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country’s population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank (ADB), in collaboration with the National Statistical Office of Thailand and the Word Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand. This report documents the results of the study, providing insights on data collection requirements, advanced algorithmic techniques, and validation of poverty estimates using artificial intelligence to complement traditional data sources and conventional survey methods.

10 Reflections

2018 ◽  
Author(s):  
Lichtenstein Natalie
Keyword(s):  
International Relations ◽  
World Bank ◽  
Future Development ◽  
Asian Development Bank ◽  
Development Bank ◽  
Multilateral Development Banks ◽  
The World Bank ◽  
The World ◽  
African Development Bank ◽  
Financial Environment

Chapter 10, Reflections, draws on the histories of AIIB’s predecessors to single out themes that may prove relevant for AIIB’s future development. Examples are taken from the stories of the World Bank, and the Inter-American Development Bank (IADB), the Asian Development Bank (AsDB), the African Development Bank (AfDB) and the European Bank for Reconstruction and Development (EBRD). Principal themes are: economic and financial environment; international relations and politics; funding; membership changes; major shareholders; clients and operations; leadership and governance; and attitudes toward change. While AIIB has been established in a world far different from the second half of the twentieth century that saw the birth of its predecessors, many of these aspects of the development of these multilateral development banks may prove similarly influential as AIIB’s future unfolds.

Technical Assistance Evaluation Program - Findings of Evaluations and Updated Program

Policy Papers ◽  
2010 ◽  
Vol 2010 (62) ◽  
Author(s):  
Keyword(s):  
International Finance ◽  
World Bank ◽  
Technical Assistance ◽  
Economic Assessment ◽  
Asian Development Bank ◽  
Kyrgyz Republic ◽  
Development Bank ◽  
International Finance Corporation ◽  
The World Bank ◽  
The World

The Kyrgyz Republic -- Joint Economic Assessment: Reconciliation, Recovery and Reconstruction; Prepared by the Asian Development Bank, International Monetary Fund, and The World Bank; With the participation of Eurasian Development Bank, European Bank for Reconstruction and Development, European Commission, International Finance Corporation, and The United Nations

scholarly journals Inclusive Growth Measurement Under Different Political Regimes of Pakistan

2020 ◽  
Vol V (IV) ◽  
pp. 42-49
Author(s):  
Muhammad Masood Anwar ◽  
Aftab Anwar ◽  
Ghulam Yahya Khan
Keyword(s):  
Economic Growth ◽  
Growth Performance ◽  
Growth Index ◽  
Asian Development Bank ◽  
Inclusive Growth ◽  
Political Regimes ◽  
Development Bank ◽  
Democratic Culture ◽  
Growth Measurement ◽  
The World

Existing literature focuses on the determinants and ways to enhance economic growth. This, however, neglects the growth benefit to society. Distribution aspect of economic growth is ignored in the previous decades. As a result, the world cannot enjoy the benefits of economic growth. In this paper inclusive growth index (IGI) is used which is constructed by the Asian Development Bank, 2011 to investigate whether the economic growth in Pakistan creates opportunities for the entire population on an equal basis and how political regimes affect the inclusive growth. Performance of the sixteen indicators of inclusive growth index is assessed over the period of 1978-2014, under two Democratic and two dictators' regimes. The result of the study shows that inclusive growth in Pakistan is low. However, the trend of inclusive growth in Pakistan is positive. Inclusive growth can be increase by increase the pace of economic growth besides democratic culture.

scholarly journals Financing Disaster Risk Reduction in Asia and the Pacific: A Guide for Policy Makers

2020 ◽  
Keyword(s):  
Risk Reduction ◽  
Case Studies ◽  
Disaster Risk Reduction ◽  
Scale Up ◽  
Disaster Risk ◽  
Asian Development Bank ◽  
Development Bank ◽  
Policy Makers ◽  
The Pacific ◽  
The World

Disaster events impact Asia and the Pacific more than any other region in the world. In light of current and future climate and disaster risks, there is an urgent need to address the region’s underinvestment in disaster risk and reduction. This publication aims to guide policy makers and other stakeholders on how to scale up disaster risk reduction financing in developing member countries of the Asian Development Bank. It provides an overview of financing opportunities—including instruments and mechanisms—as well as country case studies and practical tips for governments to implement enhanced disaster risk reduction.

Nepal - Assessment Letter for the Asian Development Bank

Policy Papers ◽  
2009 ◽  
Vol 09 ◽  
Author(s):  
Keyword(s):  
World Bank ◽  
Financial Institutions ◽  
Asian Development Bank ◽  
International Financial Institutions ◽  
Development Bank ◽  
Asian Development ◽  
The World Bank ◽  
Emergency Assistance ◽  
The World

Assessment Letters or Statements may be prepared for member countries with Fund-supported programs; receiving Fund emergency assistance; with staff-monitored programs; or surveillance-only cases. They are typically produced for use by the country with multilateral or bilateral donors or creditors, in particular the World Bank and other International Financial Institutions.

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