governments establish the optimal city size when production processes involve environmental pollution. Our analysis delivers two … key insights. First, if an optimal scheme to regulate environmental pollution is implemented, cities chosen by local … governments are never too large. They are too small if pollution is purely global, but at the optimal size, if pollution is purely …

, environmental regulation, productivity, and consumer preferences have contributed to these reductions in pollution emissions. We … estimate the model's key parameters using administrative data on plant-level production and pollution decisions. We then … pollution changes. Finally, we compare the model-driven decomposition to a statistical decomposition. The model and data suggest …

In an attempt to verify the pollution haven hypothesis, this study investigates the impact of environmental regulations … the host country's environmental regulations. Since the pollution haven's effects indicate moving the polluting production … those countries. This supports the prevalence of the effects of pollution havens. However, before we separate the FDI into …

implementation of stage 1 and 2 LEZs, which banned the most pollution-intensive vehicles from city centers, significantly reduced PM …

those plants, relative to areas slightly farther away. The case provides a salient example of a pollution-haven effect …

analyses the determinants of Pollution Abatement and Control Expenditure (PACE) at plant level in the case of Romania using … transition, and heterogeneity across regions remains considerable. -- Pollution abatement and control expenditure ; transition …

This paper examines the role of a sulphur dioxide (SO2) emissions quota introduced as part of China's 11th Five …

China in 2015, Chengdu and Chongqing, on air pollution. We use high-frequency and high spatial resolution data to track …Following market liberalisation, the vehicle population in China has increased dramatically over the past few decades … pollution along major highways linking the two cities. Our approach involves the use of an augmented regression discontinuity in …

air pollution, drinking water pollution, and extreme temperatures - and the response to those exposures differ across … pollution, leveraging recent advances in remote sensing measurement and machine learning. We find that the urban-rural gap in …

, military training during peacetime has environmental consequences. This research aims to quantify how much pollution is emitted … pollution levels. Leveraging high-frequency data, we employ a machine learning algorithm in conjunction with program evaluation … area. Our findings reveal that these exercises led to a notable increase in air pollution levels, potentially reaching up …