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Air pollution is a vexing problem for emerging countries that strike a delicate balance between environmental protection, health, and energy for growth. We examine these difficulties in a study of disparate levels of exposure to pollution from coal-fired power generation in India, a country with high levels of air pollution and large, marginalized populations. With data on coal plant locations, atmospheric conditions, and census demographics, we estimate exposure to coal plant emissions using models that predict emission transportation. We find that ethnic and poor populations are more likely to be exposed to coal pollution. However, this relationship is sometimes non-linear and follows an inverted u-shape similar to that of an Environmental Kuznets Curve. We theorize that this non-linear relationship is due to the exclusion of marginalized communities from both the negative and positive externalities of industrial development. [ABSTRACT FROM AUTHOR]

To ensure climate stability, the decarbonization of the global economy is necessary. Coal-fired power generation is both the most carbon-intensive form of electricity supply and associated with adverse health effects. Thus, retiring coal-fired power plants is essential for achieving the goals of the Paris agreement on climate change. Here we introduce a retirement index that ranks coal-fired power plants based on their age, carbon emissions, and potential for air pollution. We use data on 2143 operating coal-fired plants globally. Based on the index, the top plants identified for retirement are located in China, India and South Korea and account for a total capacity of 87 GW. These plants represent 1% of global coal fired plants yet account for 4.5% of global operating capacity. The results contrast with the commonly used approach that ranks plants based on age and thus prioritizes older plants in developed countries for early retirement rather than younger plants in developing countries. We run several sensitivity checks and results show that China and India remain consistently the top countries with most capacity in need of retirement. • Identify key criteria for early retirement of coal fired plants and introduces a retirement index. • Top polluting plants are located in populated areas of China and India. • Retired plants would ideally be older, bad for climate, and harmful to public health. • Results emphasize the importance of technological shift and early retirement of plants to address pollution. [ABSTRACT FROM AUTHOR]

To what extent do the short-term negative externalities of fossil fuel use traverse national borders? Transnational negative externalities are thought to motivate international environmental cooperation, but we often lack detailed data on their occurrence. Using a Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT), we offer global estimates of the extent of transboundary air pollution from coal-fired power generation. In an advance of the existing literature, we attribute the air pollution experienced in different locales to specific coal-fired power plants, allowing us to evaluate the extent to which pollution from the coal industry is experienced across different jurisdictions. Our results indicate that the issue is most severe in South Asia and East Asia. When weighting by the population of "receiving" locations, India is found to be the largest emitter of transboundary air pollution, followed by China. Residents of Bangladesh are found to experience the most transboundary air pollution by a wide margin., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)