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Covid-19 is a global health emergency and a systemic human development crisis. Marginalized populations' ability to respond tends to be low and associated impacts can be serious for already vulnerable communities. The virus impacts vulnerable populations unequally. Pandemic containment measures can render vulnerable populations to multiple interacting stressors. In this paper, we report on an investigation into health and social vulnerability of Rohingya refugees in Malaysia. Results suggest that the Rohingya refugees are highly vulnerable. Factors contributing to their vulnerability are Covid-19 response, resilience, susceptibility, basic need conditions, anxiety, social stigma, awareness of Covid-19 prevention and isolation and fear. [ABSTRACT FROM AUTHOR]

In this paper, a comparative review is provided of the quality of EIA systems in 65 countries participating in the Belt and Road Initiative (BRI). Furthermore, whether the quality of EIA systems is correlated with national GDP per capita in each country is explored. The review is carried out by means of an integrated EIA index (EIA Quality index – EQI). In developing the EQI, views and perceptions of experts were considered, based on Multi-Criteria-Decision-Analysis (MCDA). Results of the comparative evaluation indicate that there is great disparity between EIA systems in the 65 countries. Countries with existing challenges, such as poverty, civil war and institutional instability tend to achieve lower EQI scores. Finally, a positive (albeit weak) correlation is found between EQI scores and GDP per capita. [ABSTRACT FROM AUTHOR]

Energy infrastructures can have negative impacts on the environment. In remote and / or sparsely populated as well as in conflict-prone regions, these can be difficult to assess, in particular when they are of a large scale. Analyzing land use and land cover changes can be an important initial step towards establishing the quantity and quality of impacts. Drawing from very-high-resolution-multi-temporal-satellite-imagery, this paper reports on a study which employed the Random Forest Classifier and Land Change Modeler to derive detailed information of the spatial patterns and temporal variations of land-use and land-cover changes resulting from the China-Myanmar Oil and Gas Pipelines in Ann township in Myanmar's Rakhine State of Myanmar. Deforestation and afforestation conversion processes during pre- and post-construction periods (2010 to 2012) are compared. Whilst substantial forest areas were lost along the pipelines, this is only part of the story, as afforestation has also happened in parallel. However, afforestation areas can be of a lower value, and in order to be able to take quality of forests into account, it is of crucial importance to accompany satellite-imagery based techniques with field observation. Findings have important implications for future infrastructure development projects in conflict-affected regions in Myanmar and elsewhere. [ABSTRACT FROM AUTHOR]

The economic relationship between China and Myanmar is regarded as a win-win cooperation. However, Chinese investments, especially in extractive and natural resource sectors, are associated with a number of unwanted environmental consequences. Moreover, the environmental impact assessment (EIA) quality of Chinese enterprises has often been criticized. EIA identifies adverse impacts to the environment through evidence-based decision making. On this basis, this paper provides an evaluation of Chinese EIA performance within the natural resources sector through a structured review of 15 environmental impact statements (EISs). This research also evaluates the EISs of the three largest and most controversial projects, the Myitsone Hydropower Dam, Lappadaung Copper Mine and Sino-Myanmar oil and gas pipelines. The findings reveal several omissions, inadequacies and deficiencies in all the projects with a significant number of EISs falling short of satisfactory quality. Through the analysis, the paper summarizes the factors affecting the EIA performance and proposes feasible recommendations to improve EIA practices in Chinese development projects in Myanmar. [ABSTRACT FROM AUTHOR]

This empirical study examines the short- and long-run relationship between GDP as an economic growth indicator and CO 2 emissions as an environmental pollution indicator in Myanmar by using annual time series data over the period of 1970-2014. It also carefully considered other proxies, such as trade openness, financial openness and urbanization, and structural breaks in the country. The fundamental objective of this study is to test the validity of environmental Kuznets curve (EKC) in the context of Myanmar. The dynamic estimates of the long- and short-term relationship among greenhouse gases (CO 2 , CH 4 , N 2 O), GDP, trade intensity, financial openness, and urbanization growth are built through an autoregressive distributed lag (ARDL) model. The empirical findings indicate that there is positive short- and long-run relationship between CO 2 and GDP and thus, no evidence of EKC hypothesis is found for CO 2 in Myanmar. Nevertheless, the existence of the EKC is observed for CH 4 and N 2 O. On the other hand, trade and financial openness have inverse relationship with CO 2 emissions. These results demonstrate that trade liberalization and financial openness will improve the environment quality in Myanmar in the long run.