GMS Contents

The Greater Mekong Subregion (GMS) COVID-19 Response and Recovery Plan 2021–2023 aims to coordinate the efforts of GMS countries on issues that require greater regional cooperation and integration (RCI) to respond to  COVID-19 pandemic more effectively. This Plan complements and supports implementation of the GMS Economic Cooperation Program Strategic Framework 2030 (GMS-2030).

The Greater Mekong Subregion (GMS) Economic Cooperation Program Strategic Framework 2030 (GMS-2030) provides a new setting for the development of this subregion for the next decade. It builds upon the GMS Program’s strengths that center on connectivity and a project-led approach to development. This feature summarizes the key priorities of GMS-2030.

The Greater Mekong Subregion Economic Cooperation Program Strategic Framework 2030 (GMS-2030) aims to strengthen regional cooperation and integration and ensure a robust recovery from the coronavirus disease (COVID-19).

The Greater Mekong Subregion COVID-19 Response and Recovery Plan 2021–2023 complements the national recovery plans of the GMS countries, which aims to facilitate regional cross-border cooperation.

This report examines the implications of the coronavirus disease (COVID-19) pandemic for the Sustainable Development Goals, and opportunities for recovery.

Using the ADB COVID-19 Policy Database, this report examines how ADB members have dealt with the pandemic. It includes information on the amounts of the packages announced by ADB members during 2020 to combat the effects of COVID-19.

To enable national authorities to exercise efficient pollution control, assessment of the composition of the manufacturing sector of a country, and its geographic clustering, is a critical first step to identify hotspots of potential pollution to inform the development of national pollution control strategies, budgeting of monitoring and enforcement, and technology investments.

The CLUMondo model is one of the most frequently used land use change models globally, allowing the spatially-explicit preview of potential future land conversion in response to different land demand scenarios. At the same time, the use of the software requires a level of technical understanding that has limited its adoption in developing economies.