The critical need for reciprocity between educational migrants and communities for continuing education and socio‐cultural capital in Laos

Langill, Jennifer C.; Willis, Alison

doi:10.1111/apv.12249

Cited by 2 publications

(1 citation statement)

References 53 publications

(142 reference statements)

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“…A two-decade (2000-2019) average of total population increment in Cambodia, Laos, Myanmar, Thailand, and Vietnam were 35.6%, 34.67%, 15.68%, 10.6%, and 20.71%, respectively. In addition, Thai and Vietnamese capitals and their big cities (e.g., Ho Chi Minh) as well as their counterparts (i.e., Phnom Penh, Vientiane, Naypyidaw and Yangon) in Cambodia, Laos, and Myanmar underwent extensive urbanization and rapid population growth or immigration [28][29][30][31]. For example, Vietnam, the most populous country in MSEA, is experiencing rapid population migration from rural to urban areas [32], which greatly elevates the urbanization rate from 23.7% (1999) to 34.4% (2019), or a growth rate of nearly 50%.…”

Section: Introductionmentioning

confidence: 99%

Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)

Yin

Zhu

et al. 2021

IJGI

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The release of global gridded population datasets, including the Gridded Population of the World (GPW), Global Human Settlement Population Grid (GHS-POP), WorldPop, and LandScan, have greatly facilitated cross-comparison for ongoing research related to anthropogenic impacts. However, little attention is paid to the consistency and discrepancy of these gridded products in the regions with rapid changes in local population, e.g., Mainland Southeast Asia (MSEA), where the countries have experienced fast population growth since the 1950s. This awkward situation is unsurprisingly aggravated because of national scarce demographics and incomplete census counts, which further limits their appropriate usage. Thus, comparative analyses of them become the priority of their better application. Here, the consistency and discrepancy of the four common global gridded population datasets were cross-compared by combing the 2015 provincial population statistics (census and yearbooks) via error-comparison based statistical methods. The results showed that: (1) the LandScan performs the best both in spatial accuracy and estimated errors, then followed by the WorldPop, GHS-POP, and GPW in MSEA. (2) Provincial differences in estimated errors indicated that the LandScan better reveals the spatial pattern of population density in Thailand and Vietnam, while the WorldPop performs slightly better in Myanmar and Laos, and both fit well in Cambodia. (3) Substantial errors among the four gridded datasets normally occur in the provincial units with larger population density (over 610 persons/km2) and a rapid population growth rate (greater than 1.54%), respectively. The new findings in MSEA indicated that future usage of these datasets should pay attention to the estimated population in the areas characterized by high population density and rapid population growth.

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Section: Introductionmentioning

confidence: 99%

Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)

Yin

Zhu

et al. 2021

IJGI

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Practicalities and dichotomies of education policy and practice of higher education in the Golden Triangle Area (Southeast Asia): Implications for international development

Aung,

Aye

2024

Policy Futures in Education

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Following the paradigm of globalization and development as a means of achieving a better life from the domestic sphere to the international landscape, different stakeholders including scholars, researchers, practitioners, policy makers, and institutions have been focusing on better informed policy and practice with an embedded mission of international development. Educational policymaking and implementation processes of a nation-state are constrained by global economic and political environments. The ongoing status of educational efforts in each country and disputing factors to the implementation of the education policies were examined. In this study, systematic literature review was conducted on the research of higher education policy in line with globalization and internationalization to depict the practicalities and dichotomies in implementing the sectors at the Golden Triangle Area (Laos, Myanmar, and Thailand). The internationalization of higher education in Golden Triangle Area needs promoting its strategic advantage in offering business opportunities through government policies to further promoting as an affordable study destination and attracting international students from ASEAN countries. The factors affecting the higher education quality and capacity of Laos, Myanmar, and Thailand include the need for better quality, barriers to research capacity development, the policy process of quality assurance, and the initiatives for internationalization in all three countries.

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The critical need for reciprocity between educational migrants and communities for continuing education and socio‐cultural capital in Laos

Cited by 2 publications

References 53 publications

Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)

Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)

Practicalities and dichotomies of education policy and practice of higher education in the Golden Triangle Area (Southeast Asia): Implications for international development

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