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 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 Key Indicators for Asia and the Pacific 2021

2021 ◽  
Keyword(s):  
Sustainable Development Goals ◽  
Digital Economy ◽  
Environmental Indicators ◽  
Current Status ◽  
Value Chains ◽  
The Sustainable Development ◽  
The Pacific ◽  
Special Supplement ◽  
Development Goals ◽  
Key Indicators

This publication presents the latest key statistics on development issues for the economies of Asia and the Pacific. It sets out the region’s current status in relation to the Sustainable Development Goals, and provides economic, financial, social, and environmental indicators for the 49 regional members of the Asian Development Bank. It covers global value chains and also highlights initiatives of national statistics offices to provide timely data for planning and policymaking. A special supplement, Capturing the Digital Economy, sets out a framework for measuring the importance of the digital economy in national and global production processes.

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.

scholarly journals Capturing the Digital Economy—A Proposed Measurement Framework and Its Applications: A Special Supplement to Key Indicators for Asia and the Pacific 2021

2021 ◽  
Keyword(s):  
Industry 4.0 ◽  
Analytical Framework ◽  
Digital Economy ◽  
Value Chains ◽  
The Core ◽  
Measurement Framework ◽  
The Pacific ◽  
Special Supplement ◽  
Definition Of ◽  
Key Indicators

This publication sets out a framework for measuring the importance of the digital economy in national and global production processes. Amid the growing interest in the digitalization of socioeconomic activities, there is a lack of consensus on an established framework to estimate the digital economy. This report proposes a definition of the core digital economy and an input-output analytical framework to measure it. Applying this framework to selected economies and years, it finds that the digital economy and digitally dependent industries contribute a significant portion of gross domestic product. It examines key digital economy phenomena and trends in relation to sectoral links, temporal price changes, jobs, global value chains, the COVID-19 pandemic, and Industry 4.0.

scholarly journals LC–MS/MS Analysis of Ciguatoxins Revealing the Regional and Species Distinction of Fish in the Tropical Western Pacific

2021 ◽  
Vol 9 (3) ◽  
pp. 299 ◽  
Author(s):  
Naomasa Oshiro ◽  
Takumi Tomikawa ◽  
Kyoko Kuniyoshi ◽  
Akira Ishikawa ◽  
Hajime Toyofuku ◽  
...  
Keyword(s):  
Fish Species ◽  
The Philippines ◽  
Western Pacific ◽  
Tropical Region ◽  
Northern Coast ◽  
Coastal Regions ◽  
Main Island ◽  
Tropical Western Pacific ◽  
The Pacific ◽  
Fish Samples

Ciguatera fish poisoning (CFP) is one of the most frequently reported seafood poisoning diseases. It is endemic to the tropical region and occurs most commonly in the regions around the Pacific Ocean, Indian Ocean, and Caribbean Sea. The principal toxins causing CFP are ciguatoxins (CTXs). In the Pacific region, more than 20 analogs of CTXs have been identified to date. Based on their skeletal structures, they are classified into CTX1B-type and CTX3C-type toxins. We have previously reported species-specific and regional-specific toxin profiles. In this study, the levels and profiles of CTXs in fish present in the tropical western Pacific regions were analyzed using the liquid chromatography–tandem mass spectrometry (LC–MS/MS) technique. Forty-two fish specimens, belonging to the categories of snappers, groupers, Spanish mackerel, and moray eel, were purchased from various places such as Fiji, the Philippines, Thailand, and Taiwan. Only the fish captured from Fijian coastal waters contained detectable amounts of CTXs. The toxin levels in the fish species found along the coastal regions of the Viti Levu Island, the main island in Fiji, and the toxin profiles were significantly different from those of the fish species present in other coastal regions. The toxin levels and profiles varied among the different fish samples collected from different coastal areas. Based on the toxin levels and toxin profiles, the coast was demarcated into three zones. In Zone-1, which covers the northern coast of the main island and the regions of the Malake Island and Korovau, CTXs in fish were below the detection level. In Zone-2, CTX3C-type toxins were present in low levels in the fish. CTX1B-type and CTX3C-type toxins co-occurred in the fish present in Zone-3. The toxin profiles may have reflected the variation in Gambierdiscus spp.

scholarly journals Chance long-distance or human-mediated dispersal? How Acacia s.l. farnesiana attained its pan-tropical distribution

2017 ◽  
Vol 4 (4) ◽  
pp. 170105 ◽  
Author(s):  
Karen L. Bell ◽  
Haripriya Rangan ◽  
Manuel M. Fernandes ◽  
Christian A. Kull ◽  
Daniel J. Murphy
Keyword(s):  
The Philippines ◽  
Historical Sources ◽  
Long Distance ◽  
Old World ◽  
South Central ◽  
The Pacific ◽  
The Pacific Ocean ◽  
Spanish Explorers ◽  
The Tropics ◽  
Old World Tropics

Acacia s.l. farnesiana , which originates from Mesoamerica, is the most widely distributed Acacia s.l. species across the tropics. It is assumed that the plant was transferred across the Atlantic to southern Europe by Spanish explorers, and then spread across the Old World tropics through a combination of chance long-distance and human-mediated dispersal. Our study uses genetic analysis and information from historical sources to test the relative roles of chance and human-mediated dispersal in its distribution. The results confirm the Mesoamerican origins of the plant and show three patterns of human-mediated dispersal. Samples from Spain showed greater genetic diversity than those from other Old World tropics, suggesting more instances of transatlantic introductions from the Americas to that country than to other parts of Africa and Asia. Individuals from the Philippines matched a population from South Central Mexico and were likely to have been direct, trans-Pacific introductions. Australian samples were genetically unique, indicating that the arrival of the species in the continent was independent of these European colonial activities. This suggests the possibility of pre-European human-mediated dispersal across the Pacific Ocean. These significant findings raise new questions for biogeographic studies that assume chance or transoceanic dispersal for disjunct plant distributions.

Exploring the Asian Economic Miracle: Politics, Economics, Society, Culture, and History — A Review Article

1994 ◽  
Vol 53 (1) ◽  
pp. 124-131 ◽  
Author(s):  
Terutomo Ozawa
Keyword(s):  
Hong Kong ◽  
South Korea ◽  
The Philippines ◽  
Review Article ◽  
The Political ◽  
Political Systems ◽  
Industrial Activities ◽  
Economic Miracle ◽  
The Pacific ◽  
Pacific Asia

Structural upgrading and industrial dynamismin Pacific Asia—initially Japan, then the Asian NIEs (Newly Industrializing Economies: South Korea, Taiwan, Hong Kong, and Singapore) following closely behind, and most recently, ASEAN 4 (Thailand, Malaysia, Indonesia, and the Philippines)—have been unprecedentedly phenomenal. This regional supergrowth in industrial activities has become the center of attention, but the evolving changes in the political systems and societal structures of the Pacific Asian nations have been, no doubt, equally important, although rather subtle and not so dramatic in appearance.

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