Thaïlande

Non-cognitive characteristics of students in four Southeast Asian countries – Indonesia, Malaysia, Thailand, and Viet Nam – were reviewed based on the PISA 2009, 2012, and 2015 data. Overall, students in this region demonstrated similarities with respect to their non-cognitive dispositions such as learning habits, approaches to learning, motivation for school subject matters and self-beliefs about their abilities. The non-cognitive characteristics that were most prevalent in the region included enjoyment and instrumental motivation to learn, which were evidenced by the indices of intrinsicmotivation for mathematics (INTMAT), instrumental motivation for mathematics (INSTMOT), enjoyment in learning of science (JOYSCIE), and instrumental motivation in learning science (INSTSCIE). However, these variables were not strong predictors of student achievement in this region. The review also revealed that the best non-cognitive predictors of student achievement were metacognitive awareness (METASUM and UNDREM) for reading achievement; self-efficacy, self-concept, and anxiety (MATHEFF, SCMAT, and ANXMAT) for mathematics achievement; and environmental awareness and epistemological beliefs (ENVAWARE and EPIST) for science achievement. These variables were also the best predictors, on average, across all PISA participants and economies. However, some region-specific non-cognitive predictors were also noted. These were intrinsic motivation (INTMAT) in Malaysia; perseverance (PERSEV) in Thailand; and mathematics intentions (MATINTFC)in Viet Nam. Overall, the similarities found in the non-cognitive characteristics among Southeast Asian students suggest that (a) regional collaboration in designing the educational strategies may be beneficial and that (b) an implementation of regional questionnaires in future PISA surveys may be useful to gain an in-depth understanding of achievement-related factors in this region.

Thailand has made impressive economic and social progress over several decades. However, the COVID-19 crisis has interrupted this progress. Thanks to its sound macroeconomic policy framework, Thailand was well placed to respond rapidly to the sharp economic downturn. Nevertheless, achieving high-income country status will require, in addition to a strong recovery programme, a set of policy reforms focused on productivity growth and human capital accumulation. Thailand has made remarkable progress in expanding access to education, and the share of highly educated workers has increased significantly. Nevertheless, because of skills mismatches, substantial labour shortages have prevailed in a range of occupations and industries, which makes it important to improve vocational education and adult training programmes. As the demand for services has become important globally, Thailand has an opportunity to boost its exports of services, diversify its economic activity, and therefore become more resilient in the face of unexpected shocks. This would involve a focus on digital services and business-to-business services, which represent a large share of the value of manufacturing products. Focus on human capital, skills, digital technology, and high-value services would help Thailand resume strong economic growth and social progress after the COVID-19 crisis. SPECIAL FEATURES: HUMAN CAPITAL; TRADE IN SERVICES

Water-related infrastructure could contribute significantly to the development of the Mekong region. At the same time, poor water infrastructure could lead to development challenges for the countries in the region. Innovation for Water Infrastructure Development in the Mekong Region discusses the challenges facing the region as well as the possible innovative policy options, including those used in Emerging Asian countries, and with reference to the experiences of OECD member countries. It provides analysis and recommendations for the region’s policy makers to consider in their efforts to improve water infrastructure. The report first provides an overview of the socio-economic contributions and environmental challenges of the Mekong River. It then presents some potential new financing options for the development of water infrastructure, using digital tools such as Fintech and blockchain. It also examines the potential of using the spillover effect of tax revenues to attract private finance. It then goes on to discuss the importance of strengthening water infrastructure resilience against natural disasters, including the current COVID-19 pandemic, and finally analyses the challenges of water regulations in the Mekong region.

The Economic Outlook for Southeast Asia, China and India is a bi-annual publication on regional economic growth, development and regional integration in Emerging Asia. It focuses on the economic conditions of the Association of Southeast Asian Nations (ASEAN) member countries: Brunei Darussalam, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, the Philippines, Singapore, Thailand and Viet Nam. It also addresses relevant economic issues in China and India to fully reflect economic developments in the region. The update of the Outlook comprises three main parts, each highlighting a particular dimension of recent economic developments in the region. The first part presents the regional economic monitor, depicting the economic outlook and macroeconomic challenges in the region. The second and third parts consist of special thematic chapters addressing major issues facing the region. The second chapter of this update focuses on the Covid-19 outbreak, discussing in particular the socio-economic impacts of the pandemic. An analysis of the quality of education in the region is discussed in the third chapter.

Revenue Statistics in Asian and Pacific Economies is jointly produced by the Organisation for Economic Co-operation and Development (OECD)’s Centre for Tax Policy and Administration (CTP) and the OECD Development Centre (DEV) with the co-operation of the Asian Development Bank (ADB), the Pacific Island Tax Administrators Association (PITAA), and the Pacific Community (SPC) and the financial support from the governments of Ireland, Japan, Luxembourg, Norway, Sweden and the United Kingdom. This edition includes a special feature on the tax policy and administration responses to COVID-19 in Asian and Pacific Economies. It compiles comparable tax revenue statistics for Australia, Bhutan, People’s Republic of China, Cook Islands, Fiji, Indonesia, Japan, Kazakhstan, Korea, Malaysia, Mongolia, Nauru, New Zealand, Papua New Guinea, Philippines, Samoa, Singapore, Solomon Islands, Thailand, Tokelau and Vanuatu ; and comparable non-tax revenue statistics for Bhutan, the Cook Islands, Fiji, Kazakhstan, Mongolia, Nauru, Philippines, Papua New Guinea, Samoa, Thailand, Tokelau and Vanuatu. The model is the OECD Revenue Statistics database which is a fundamental reference, backed by a well-established methodology, for OECD member countries. Extending the OECD methodology to Asian and Pacific economies enables comparisons about tax levels and tax structures on a consistent basis, both among Asian and Pacific economies and with OECD, Latin American and Caribbean and African averages.