This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Ecomomic and Social Statistics of World War II in Southeast AsiaThis project draws on archival material and uses economic theory and an historical, strongly comparative, approach to analyse the consequences of the Second World War Japanese occupation for the economies and welfare of the peoples of Southeast Asia. The region's six countries of Burma, Malaya (including Singapore), Thailand (Siam), Indochina (Vietnam, Cambodia and Laos) and the Philippines had markedly contrasting wartime experiences. One main aim of the project is to quantify wherever possible the differing impacts of Japan's occupation. Second, the project aims to link the pre- and post-1945 economic histories of Southeast Asia and contribute to an understanding of each in light of the events of the Second World War. Specific topics for investigation include the impact on Southeast Asia of Japanese command and planned economic systems, the effectiveness of these policies in achieving resource extraction, trends in Southeast Asian production and GDP, and inflation and hyperinflation resulting from Japan's methods of financing war in Southeast Asia. The project examines for each Southeast Asian country the social costs of wartime economic collapse and traces a chronology of mass death from famine and forced labour in many parts of Southeast Asia. An important contribution of the project is to direct attention towards the populations of non-combatant countries which, although not militarily involved in war, were profoundly affected by it.

This dataset provides values for HOUSEHOLDS DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GDP PER CAPITA PPP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Global patterns of current and future road infrastructure - Supplementary spatial data

Authors: Johan Meijer, Mark Huijbregts, Kees Schotten, Aafke Schipper

Research paper summary: Georeferenced information on road infrastructure is essential for spatial planning, socio-economic assessments and environmental impact analyses. Yet current global road maps are typically outdated or characterized by spatial bias in coverage. In the Global Roads Inventory Project we gathered, harmonized and integrated nearly 60 geospatial datasets on road infrastructure into a global roads dataset. The resulting dataset covers 222 countries and includes over 21 million km of roads, which is two to three times the total length in the currently best available country-based global roads datasets. We then related total road length per country to country area, population density, GDP and OECD membership, resulting in a regression model with adjusted R2 of 0.90, and found that that the highest road densities are associated with densely populated and wealthier countries. Applying our regression model to future population densities and GDP estimates from the Shared Socioeconomic Pathway (SSP) scenarios, we obtained a tentative estimate of 3.0–4.7 million km additional road length for the year 2050. Large increases in road length were projected for developing nations in some of the world's last remaining wilderness areas, such as the Amazon, the Congo basin and New Guinea. This highlights the need for accurate spatial road datasets to underpin strategic spatial planning in order to reduce the impacts of roads in remaining pristine ecosystems.

Contents: The GRIP dataset consists of global and regional vector datasets in ESRI filegeodatabase and shapefile format, and global raster datasets of road density at a 5 arcminutes resolution (~8x8km). The GRIP dataset is mainly aimed at providing a roads dataset that is easily usable for scientific global environmental and biodiversity modelling projects. The dataset is not suitable for navigation. GRIP4 is based on many different sources (including OpenStreetMap) and to the best of our ability we have verified their public availability, as a criteria in our research. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. The GRIP database and future global road infrastructure scenario projections following the Shared Socioeconomic Pathways (SSPs) are described in the paper by Meijer et al (2018). Due to shapefile file size limitations the global file is only available in ESRI filegeodatabase format.

Regional coding of the other vector datasets in shapefile and ESRI fgdb format:

• Region 1: North America
• Region 2: Central and South America
• Region 3: Africa
• Region 4: Europe
• Region 5: Middle East and Central Asia
• Region 6: South and East Asia
• Region 7: Oceania

Road density raster data:

• Total density, all types combined
• Type 1 density (highways)
• Type 2 density (primary roads)
• Type 3 density (secondary roads)
• Type 4 density (tertiary roads)
• Type 5 density (local roads)

Keyword: global, data, roads, infrastructure, network, global roads inventory project (GRIP), SSP scenarios

This study uses panel data from 2000 to 2021 to examine the effects of education and digitization on economic growth in four Southeast Asian emerging markets. The variables are GDP per capita PPP (2017 base year) as the dependent variable, average years of schooling as a proxy for education investment, and internet penetration rate as a proxy for digitization.

How does the South China Sea issue affect China’s image in Southeast Asian countries? Has it diminished Southeast Asian countries’ perception of China? Based on the Global Database of Events, Language, and Tone (GDELT) from 2010 to 2024, this study empirically examines the impact of the South China Sea issue on Southeast Asian countries’ perception of China’s image using a panel multiple linear regression model. The empirical results show a significant positive correlation between the South China Sea issue and Southeast Asian countries’ perception of China’s image. Specifically, the positive impact of verbal events, material events, and the scale of events related to the South China Sea significantly enhances the positive evaluation and recognition of China among Southeast Asian countries. Additionally, GDP plays a moderating role in this process, weakening the positive impact of verbal events, factual events, and the scale of South China Sea events on China’s positive evaluation and recognition. In Southeast Asian countries with territorial disputes and sovereignty conflicts with China, the influence of factual events and the scale of South China Sea events on the perception of China’s image is more pronounced. In contrast, in Southeast Asian countries without such disputes, verbal events have a more significant impact on their perception of China’s image.

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The FDI-related data are obtained from Japan’s Ministry of Economy, Trade and Industry, the nominal exchange rate, consumer price index, and real GDP data from the International Monetary Fund. The share of Japanese value added by industry is obtained from the Cabinet Office, Government of Japan, and the GDP per capita data from the World Bank. In addition, Thai industry-level GDP growth or industry-level FDI inflow from abroad (per GDP) are obtained from the Bank of Thailand.

A presentation analysing recent trends in migration and policies in Asia. Data is provided on the outflow of migrants to Gulf countries, southeast Asian countries, and Korea. Push factors are analysed, including comparative GDP rates, labour forces, wages and unemployment levels. Key policy responses are then discussed. Presented at the ADBI‐OECD‐ILO roundtable on labour migration in Asia, Tokyo, 27‐28 January 2014.

This dataset provides values for GROSS NATIONAL PRODUCT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

How does the South China Sea issue affect China’s image in Southeast Asian countries? Has it diminished Southeast Asian countries’ perception of China? Based on the Global Database of Events, Language, and Tone (GDELT) from 2010 to 2024, this study empirically examines the impact of the South China Sea issue on Southeast Asian countries’ perception of China’s image using a panel multiple linear regression model. The empirical results show a significant positive correlation between the South China Sea issue and Southeast Asian countries’ perception of China’s image. Specifically, the positive impact of verbal events, material events, and the scale of events related to the South China Sea significantly enhances the positive evaluation and recognition of China among Southeast Asian countries. Additionally, GDP plays a moderating role in this process, weakening the positive impact of verbal events, factual events, and the scale of South China Sea events on China’s positive evaluation and recognition. In Southeast Asian countries with territorial disputes and sovereignty conflicts with China, the influence of factual events and the scale of South China Sea events on the perception of China’s image is more pronounced. In contrast, in Southeast Asian countries without such disputes, verbal events have a more significant impact on their perception of China’s image.