Experience with existing multilateral environmental agreements (MEAs) shows that trade measures agreed to within the MEAs themselves may not necessarily lead to a dispute between parties. On the contrary, there is a great chance that disputes may arise from national measures undertaken to fulfil...

Many studies have emphasized the importance of China's participation in combating global climate change, but they looked at the role of China mainly from the point of view that future, uncontrolled increases in CO2 emissions in China will offset all emissions reductions in industrialized...

We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...

In international climate change negotiations, China's role is an issue of perennial concern. In particular, the lack of quantitative, absolute emissions commitments from China has been the focus. In line with changing domestic and international contexts, China is recalibrating its stance and...

In international climate change negotiations, China's role is an issue of perennial concern. In particular, the lack of quantitative, absolute emissions commitments from China has been the focus. In line with changing domestic and international contexts, China is recalibrating its stance and...

The Chinese leadership has determined to assign the market a decisive role in allocating resources. To have the market to play that role, getting the energy prices right is crucial because this sends clear signals to both producers and consumers of energy. While the overall trend of China's...

This paper examines the long-run relationship between income and urban air pollution using a joint distribution dynamics approach. This approach enables to estimate the transition process and long-run distribution and to examine the mechanisms behind the evolution process. The approach is...

We demonstrate how a machine learning algorithm can be applied to predict and explain modern market microstructure phenomena. We investigate the efficacy of various microstructure measures and show that they continue to provide insights into price dynamics in current complex markets. Some...