Background This set of survey data tables is the supporting material for the article "Trans-local resilience dimensions of migration as adaptation to environmental change". It consists of three tables, one on household level and two on individual levels for domestic and international migrants. Data was collected from 1085 households in 4 provinces in Thailand (Udon Thani, Buriram, Phitsanulok, Chiang Rai), covering 1625 domestic and 301 international migrants. The survey is representative on the level of the four sub-districts in which the households were randomly sampled (one subdistrict in each province). Origin of the dataset The data has been collected in April 2015 as part of the project "TransRe: Building resilience through translocal...
Thailand’s increasing migration rates out of the country’s poorest region over the past few decades ...
The main argument of this paper is that migration does not necessarily reduce informal risk sharing ...
The datasets were produced in the following article. When using the data, please use the following c...
The 2011 floods in Thailand were one of the most devastating disasters in the history of the country...
In common with other developing countries, Thailand experiences an accelerating and unfavorable redi...
This case study examines the immediate and longer-term consequences of the 2011 floods in Thailand o...
© 2019 The Author(s). Background: Myanmar transitioned to a nominally civilian government in March 2...
In developing countries, migration often generates flows of resources from migrants to their househo...
Background: In the southernmost provinces of Thailand, despite the long-term unrest concurrent with ...
The 2011 floods in Thailand were one of the most devastating disasters in the history of the country...
The geographical focus in studying the environmental-migration nexus has been placed mainly to the a...
Migration is a common phenomenon in southern Shan. Nearly one in three households (31%) have a house...
Background: Local migration in developing-world settings, particularly among rural populations, is a...
Researchers and policy makers are fortunate that data on migration is rapidly improving in both qual...
Study of the impact of internal migration on nineteen land settlement schemes in Thailand
Thailand’s increasing migration rates out of the country’s poorest region over the past few decades ...
The main argument of this paper is that migration does not necessarily reduce informal risk sharing ...
The datasets were produced in the following article. When using the data, please use the following c...
The 2011 floods in Thailand were one of the most devastating disasters in the history of the country...
In common with other developing countries, Thailand experiences an accelerating and unfavorable redi...
This case study examines the immediate and longer-term consequences of the 2011 floods in Thailand o...
© 2019 The Author(s). Background: Myanmar transitioned to a nominally civilian government in March 2...
In developing countries, migration often generates flows of resources from migrants to their househo...
Background: In the southernmost provinces of Thailand, despite the long-term unrest concurrent with ...
The 2011 floods in Thailand were one of the most devastating disasters in the history of the country...
The geographical focus in studying the environmental-migration nexus has been placed mainly to the a...
Migration is a common phenomenon in southern Shan. Nearly one in three households (31%) have a house...
Background: Local migration in developing-world settings, particularly among rural populations, is a...
Researchers and policy makers are fortunate that data on migration is rapidly improving in both qual...
Study of the impact of internal migration on nineteen land settlement schemes in Thailand
Thailand’s increasing migration rates out of the country’s poorest region over the past few decades ...
The main argument of this paper is that migration does not necessarily reduce informal risk sharing ...
The datasets were produced in the following article. When using the data, please use the following c...