Malaysia

Skills are central to the capacity of countries and people to thrive in a rapidly changing world. Recovering from the COVID-19 pandemic will require countries to co-ordinate interventions to help recent graduates find jobs, reactivate the skills of displaced workers and use skills effectively in workplaces. Megatrends such as globalisation, climate change, technological progress and demographic change will continue to reshape work and society. Countries should take action now to develop and use more effectively the skills required for the world of the future and at the same time make their skills systems more resilient and adaptable in the context of change and uncertainty. The OECD Skills Strategy provides countries with a strategic approach to assess their skills challenges and opportunities. The foundation of this approach is the OECD Skills Strategy framework allowing countries to explore how they can improve i) developing relevant skills, ii) using skills effectively, and iii) strengthening the governance of the skills system. This report applies the OECD Skills Strategy framework to Southeast Asia, providing an overview of the region’s skills challenges and opportunities in the context of COVID-19 and megatrends, and identifying good practices for improving skills outcomes. This report lays the foundation for a more fully elaborated Skills Strategy for Southeast Asia.

The Economic Outlook for Southeast Asia, China and India is a regular publication on regional economic growth, development and regional integration in Emerging Asia. It focuses on the economic conditions of 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 Outlook comprises two 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 part consists of a special thematic chapter addressing a major issue facing the region. The 2021 edition of the Outlook addresses reallocation of resources to digitalisation in response to COVID-19, with special focuses on health, education and Industry 4.0. During the COVID-19 crisis, digitalisation has proved critical to ensuring the continuity of essential services. The use of e-commerce, digital health tools and on-line education all accelerated sharply during the pandemic in Emerging Asia. However, there is still a lot of work to be done, for the region to be able to get the full benefits of digitalisation.

The COVID-19 crisis has had a profound impact on SME access to finance. In particular, the sudden drop in revenues created acute liquidity shortages, threatening the survival of many viable businesses. The report documents an increase in demand for bank lending in the first half of 2020, and a steady supply of credit thanks to government interventions. On the other hand, other sources of finance declined, in particular early-stage equity. This paper, a special edition of Financing SMEs and Entrepreneurs, focuses on the impacts of COVID-19 on SME access to finance, along with government policy responses. It reveals that the pre-crisis financing environment was broadly favourable for SMEs and entrepreneurs, who benefited from low interest rates, loose credit standards and an increasingly diverse offer of financing instruments. It documents the unprecedented scope and scale of the policy responses undertaken by governments world-wide, and details their key characteristics, and outlines the principal issues and policy challenges for the next phases of the pandemic, such as the over-indebtedness of SMEs and the need to continue to foster a diverse range of financing instruments for SMEs.

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.

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.