ATO releases Transport and Climate Profiles for low- and middle-income countries in Asia and the Pacific: Myanmar, Nepal, Pakistan, Papua New Guinea, and the Philippines
The fourth set of the updated Transport and Climate Profiles for low- and middle-income countries in Asia and the Pacific have been released!
These profiles provide key insights for policymakers, researchers, and other stakeholders, providing crucial data insights on transport-related emissions, energy consumption trends, vehicle fleet growth, and climate vulnerability, as well as critical policy insights, showcasing current national policies, greenhouse gas reduction targets, and measures designed to accelerate sustainable transport solutions such as electrification, public transport enhancements, and resilient infrastructure development.
These "Transport and Climate Profiles" are part of the research work entitled "Transport NDC Gap Analysis for Low- and Middle-Income Countries (LMICs) in Asia and the Pacific" which is being implemented and builds on the work of the Asian Transport Outlook (ATO), a project initiated and supported by the Asian Development Bank (ADB). ATO is also being supported by the Asian Infrastructure Investment Bank (AIIB).
The research is being co-funded by UKAID through the UK Foreign, Commonwealth and Development Office (FCDO) under the High-Volume Transport (HVT) Applied Research Program managed by DT Global International Development UK LTD (DT Global). The research is being implemented under HVT057 (Transport Decarbonisation Index) whose lead research supplier is the Partnership on Sustainable, Low Carbon Transport. These profiles are designed to complement the main report of the research entitled Bridging the Gap: A Deep Dive into NDCs and Transport Policy Landscapes in Low- and Middle-Income Asian Economies. While intended as supplementary materials, they also function as standalone knowledge products. All the related knowledge products will be made available through https://asiantransportoutlook.com/analytical-outputs/ndc-analysis.