Malaysia

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.

This report contains the 2019 Peer Review Report on the Exchange of Information on Request of Malaysia.

Malaysia’s economy is doing well, but social and governance challenges must be addressed. The new government prioritises inclusive growth and improving trust in public institutions. Further progress towards the planned target of high-income country status by 2024 will also require focusing on productivity growth with structural reforms to move up the value chain and improve skills. Ensuring environmental protection will improve the quality of growth. Growth is set to moderate in the near term, mainly due to slowing global trade. The rising cost of living has been a source of concern for large segments of the population. Progress could be made by providing a more targeted support, boosting entrepreneurship, improving productivity and employability among the low-income households. Fiscal policy needs reform. Building up fiscal space and ensuring medium-term sustainability will require increasing the low level of tax revenue. Improving budget process transparency and strengthening public debt management are key to fiscal accountability. Human capital development is needed to boost productivity and promote inclusive growth. Labour market imbalances hinder productivity and make it more difficult to climb up the value chain. Investment in education and training would help under-qualified workers. Policies to stimulate the demand for high-level skills would support those who are over-qualified. SPECIAL FEATURE: REDUCING SKILLS IMBALANCES TO FOSTER PRODUCTIVITY GROWTH

Asian cities are particularly vulnerable to risks associated with natural disasters. While they are exposed to various types of natural hazards, flooding and other water-related disasters pose particularly significant risks and undermine long-term economic growth, especially in coastal cities. Managing such natural disaster risks is an essential component of urban policies in fast-growing Southeast Asian cities, especially as the impacts of climate change worsen. In addition to providing a framework for assessing disaster risk management policies in cities, this report also presents the results of assessment and locally tailored policy recommendations in five cities of different institutional, geographic, socio-economic and environmental contexts in Southeast Asia. They include Bandung (Indonesia), Bangkok (Thailand), Cebu (Philippines), Hai Phong (Viet Nam) and Iskandar (Malaysia). The study highlights that Southeast Asian cities are largely underprepared for natural disaster risks. Through an assessment of disaster risk management (DRM) policies at national and subnational levels, the study aims to enhance urban resilience by: i) identifying policy challenges related to DRM ; ii) assessing the impacts of current DRM policy practices; and iii) proposing more efficient and effective policy options to enhance urban resilience.

The SME Policy Index is a benchmarking tool for emerging economies to monitor and evaluate progress in policies that support small and medium-sized enterprises. The ASEAN SME Policy Index 2018 is a joint effort between the Economic Research Institute for ASEAN and East-Asia (ERIA), the Organisation for Economic Co-operation and Development (OECD) and the ASEAN Coordinating Committee on Micro, Small and Medium Enterprises (ACCMSME). The report is the outcome of work conducted by the ten ASEAN Member States (Brunei Darussalam, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, the Philippines, Singapore, Thailand and Viet Nam). Divided into eight policy dimensions, it builds on the previous edition of the ASEAN SME Policy Index 2014. The current edition presents an updated methodology which makes this document a powerful tool to assess the strengths and weaknesses that exist in policy design, implementation, and monitoring and evaluation for SMEs, and allows for a benchmarking of the level to which the ASEAN Strategic Action Plan for SME Development (SAP SMED) 2016-2025 has been implemented. Its objective is to enhance the capacity of policy makers to identify policy areas for future reform, as well as implement reforms in accordance with international good practices. The report provides a regional perspective on recent developments in SME-related policies in Southeast Asia as well as in individual ASEAN Member States.  Based on this analysis the report provides a menu of concrete policy options for the region and for the individual countries.