East Asia and Pacific
International Migrants Day is a call to disseminate information on international migration and look toward further understanding its intersection with economic growth and socioeconomic wellbeing. Here we draw on data from the World Bank Gender Data Portal to highlight four big facts about women AND international migration. We focus on the “international migrant stock” which is the number of people born in a country other than that in which they live. Women, men, boys and girls experience migration differently. Accurate and timely sex-disaggregated data on international migration is critical for uncovering the specific needs and vulnerabilities of women and men and for shaping migration policy.
Globally, women are on the move: they comprise slightly less than half of all international, global migrants. In fact, the share of women among global, international migrants has only fallen slightly during the last three decades, from 49 percent in 1990 to 47 percent in 2017.
The use of artificial intelligence (AI) and big data can offer untapped opportunities for Thailand. Particularly, it has enormous potential to contribute to Thailand 4.0, a new value-based economic model driven by innovation, technology and creativity that is expected to unlock the country from several economic challenges resulting from past economic development models (agriculture – Thailand 1.0, light industry – Thailand 2.0, and heavy industry – Thailand 3.0), the “middle income trap” and “inequality trap”. One core aspect of Thailand 4.0 puts emphasis on developing new S-curve industries, which includes investing in digital, robotics, and the regional medical hub.
In this context, how can civil servants and leaders holding office, particularly the ones who prepare budgets, manage this challenge?
Shared prosperity is one of the World Bank Group’s Twin Goals, introduced in 2013. Progress toward this goal is monitored through an indicator that measures the annualized growth rate in average household per capita income or consumption among the poorest 40 percent of the population in each country (the bottom 40), where the bottom 40 are determined by their rank in household per capita income or consumption. Chapter 2 of the 2018 Poverty & Shared Prosperity Report provides an update on the recent mixed progress on shared prosperity around the world in about 2010-15.
The shared prosperity indicator was proposed as a means to shine a constant light on the poorest segments of the population in every country, irrespective of their level of development. Shared prosperity has no target or finish line, because the aim is to continuously improve well-being. In good times and in bad, in low and high-income economies alike, the bottom 40 percent of the population in each nation would be monitored. Tracking the bottom 40’s absolute growth as well as their growth relative to the mean is a way to remind us to always consider distributional impacts and strive for equitable outcomes.
An important but challenging goal to monitor
Despite its importance and universal relevance, shared prosperity is more challenging to monitor than global poverty. While one household survey is sufficient to calculate poverty, shared prosperity measurement requires two recent comparable surveys.
The implication of this stronger data requirement is that 91 out of the 164 economies with an international poverty rate measured in PovcalNet are included in the 6th edition of the Global Database of Shared Prosperity (GDSP).
a: Simply using the administrative boundaries of the Special Capital Region of Jakarta?
b: Based on the extent and density of population?
c: Using nighttime lights data?
d: Or, what about a definition based on commuting flows as used in the U.S. approach to defining metropolitan statistical areas?
From the e-commerce site Taobao.com to the social media app WeChat, China has drawn global attention to its digital platform economy. A third of the top-200 digital platforms were born in China according to the Global Platform Survey 2016. They are also growing fast. A 2017 report published by Ali Research shows that the digital platform sector contributes to 10.5% of China’s GDP.
China’s worldwide e-commerce transaction value grew from less than 1% a decade ago to over 40% now, exceeding that of France, Germany, Japan, the United Kingdom, and the United States combined, according to a McKinsey study. In rural China, the development of e-commerce shows strong signs of clustering. The number of Taobao villages – those significantly engaged in e-commerce with a total annual e-commerce transaction volume of at least RMB 10 million and at least 100 active online shops – has increased from 20 in 2013 to 3,202 in 2018.