Although extensive literature focusing on the determinants of carbon emissions, little attention has been paid to the impact of exchange rates on carbon emissions in emerging economies. Based on 283 Chinese prefecture−level cities from 2006 to 2019, this paper measures the effects and...

In most experiments on the Casimir force the comparison between measurement data and theory was done using the concept of the root-mean-square deviation, a procedure that has been criticized in the literature. Here we propose a special statistical analysis which should be performed separately...

Industry 4.0 has led to the growth of smart cities utilizing the Internet of Things (IoT). Wireless sensor network (WSN) has drawn considerable interest as an important element of the IoT. The Energy Internet (EI) is growing in importance as a significant component of constructing the...

One goal of the paid family leave (PFL) is to help working mothers balance their careers and family responsibilities and hence improve the well-being of their infants. However, most studies of PFL on early childhood outcomes have been based on the analyses of surviving infants. If PFL reduces...

We propose a model based on statistical learning techniques to predict unreported corporate greenhouse gas emissions, which generates considerably better results than existing approaches. The model uses one linear and one non-linear learners only, which reduces its complexity to the minimum...