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Since the 1980s the economic development of countries in East Asia has had a marked impact on the world port community, particularly in container transport. This paper analyses changes in the competitive environment of the world container port sector using some standard tools of market concentration. Initially, this paper reviews the competitive position of world container port system and then examines the East Asian economic environment. Both ordinal and cardinal measures of port system inequality are used to demonstrate both the rankings and levels of container throughput have been diverging in the world's major economic blocs. Conversely, East Asian countries during the 1990s have shown a trend towards convergence. Measures of dispersion suggest that ports in East Asian countries have become more competitive in their levels of container throughput.

COVID-19 has been a major challenge to global governance, highlighting the necessity for stepping up innovative governance. Beginning in 2020, governments have been trying to adjust in dealing with the massive challenges of COVID-19, implying that attention has been diverted from attaining the Sustainable Development Goals (SDGs) to handling the pandemic. COVID-19 poses a genuine threat to economic progress, food safety, health, and educational parity in developing countries. The article examines the pandemic's impact on achieving the Sustainable Development Goals through a comparative lens of Bangladesh and the Philippines.

While previous studies focused mainly on East Asia to Europe or United States trade routes, in recent years, trade among South-East Asian countries has increased notably. The price of transporting a container is not fixed and can fluctuate heavily over the course of a week. Besides, extant literature only identified seasonality patterns in the container freight market, but did not explore route-varying seasonality patterns. Hence, this study analyses container freight seasonality patterns of the six South-East Asian routes of the South-East Asian Freight Index (SEAFI) and the index itself and forecasts them.

Data of the composite SEAFI and six routes are collected from the Shanghai Shipping Exchange (SSE) including 167 weekly observations from 2016 to 2019. The SEAFI and individual route data reflect spot rates from the Shanghai Port to South-East Asia base ports. The authors analyse seasonality patterns using polar plots. For forecasting, the study utilize two univariate models, autoregressive integrated moving average (ARIMA) and seasonal autoregressive neural network (SNNAR). For both models, the authors compare forecasting results of original level and log-transformed data.

This study finds that the seasonality patterns of the six South-East Asian container trade routes are identical in an overall but exhibits unique characteristics. ARIMA models perform better than SNNAR models for one-week ahead test-sample forecasting. The SNNAR models offer better performance for 4-week ahead forecasting for two selected routes only.

Major industry players such as shipping lines, shippers, ship-owners and others should take into account the route-level seasonality patterns in their decision-making. Forecast analysts can consider using the original level data without log transformation in their analysis. The authors suggest using ARIMA models in one-step and four-step ahead forecasting for majority of the routes. The SNNAR models are recommended for multi-step forecasting for Shanghai to Vietnam and Shanghai to Thailand routes only.

This study analyses a new shipping index, that is, the SEAFI and its underlying six routes. The authors analyze the seasonality pattern of container freight rate data using polar plot and perform forecasting using ARIMA and SNNAR models. Moreover, the authors experiment forecasting performance of log-transformed and non-transformed series.

This brief highlights policies and procedures adopted by governments in South East Asia to increase better access to higher education among the lower socio-economic population groups. Increasing skills, knowledge, and competencies will create a competitive workforce for the manufacturing industry that is fast adopting Industrial Revolution 4.0 (IR 4.0) for increased production and viability. The brief also outlines the challenges faced in actualizing these policies. It highlights the impact of Covid-19 in accelerating technology use in higher education, as well as underscoring the increased gaps in access to higher education in the region due to Covid-19. The policy brief concludes with recommendations of best practices adopted in developed countries that are grounded in collaboration and sharing of resources.

In the 1990s, following the challenges imposed by globalisation, the liner shipping industry experienced profound changes, leading major carriers to create ad-hoc logistics business-units. Nevertheless the vertical integration of shipping lines along the transport chain faced important entry barriers in various regions.This paper aims at analysing the impact of such barriers on carriers’ pathways of expansion in the logistics business. It mainly focuses on the East-Asian market, as a relevant empirical case in which important institutional and socio-political obstacles are still in force .Main results disclose sui-generis paths of expansion achieved by major carriers, in contrast with linear constructs of time and space proposed by classical TNC theories. In such respect, port operations reveal to be the most critical stage of the chain. The ‘sidestep’ of the port phase, leading to investments in other on-shore activities (warehousing, inland terminals, etc.) as well as the implementation of aggressive financial campaigns (acquisitions and takeovers), reveal the unfaltering will of top shipping lines: the quick achievement of a successful vertical and horizontal expansion despite environmental obstacles.

A series of “learning lab” projects on disaster risk management for sustainable development (DRM-SD) have been accomplished from 2014 to 2016 in Malaysia, Vietnam, Lao PDR and Cambodia by the Centre for Global Sustainability Studies. The project is designed for professionals from the disaster risk management field to encourage integration of sustainable development (SD) concerns into the larger planning framework for DRM. As a case study for capacity building (CB) evaluation, the central purpose of this study is to explore the approaches, feedbacks and implications of the DRM-SD CB project that have been developed and carried out.

Three methods have been used which are participation observations, surveys and document analysis. The results show that the project had successfully applied seven different tools to enhance analytical skills and professional knowledge of development practitioners in specific areas of DRM-SD.

Based on the survey, the project received positive response and valuable information from participants for future project development. Regarding the perspective of outcomes, the result indicates that south–south, ASEAN regional and triangular cooperation and role of higher education in DRM-SD are significant impacts from this project which can bring several benefits and should be promoted as an approach for the DRM-CB project as a whole.

It is hoped that this study will serve as a transfer learning initiative to provide approach guidelines and innovative mechanisms for DRM practitioners who will have the know-how and potential for leadership in DRM-SD.