The following topical collection, entitled "Air Pollution Control and Sustainable Development: Innovative Methods and Policy Implications," focuses on the intersection of innovative methods of air quality management and the pursuit of sustainable development. This topical collection brings...

In this paper, we use provincial panel data on China for the 2002-19 period to conduct a spatial autocorrelation analysis of household saving rates as well as a dynamic panel analysis of the determinants of household saving rates using a spatial Durbin model. To summarize our main findings, we...

"Spatial thinking" is increasingly popular in housing market studies and spatial dependence across properties has been widely investigated in the intra-city housing market. The contribution of this paper is to study the spatial dependence and spillover effect of house prices from an interurban...

In this paper, we make multi-step forecasts of the annual growth rates of the real GRP for each of the 31 Chinese provinces simultaneously. Beside the usual panel data models, we use panel models that explicitly account for spatial dependence between the GRP growth rates. In addition, the...

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants, nighttime lights, and temperature, we...

This study aims at investigating the spatial dimension of the FDI. Considering the distribution of FDI between the provinces, our purpose is the spatial dependency that may be observed. Using data for 1992-2002, we find that taking into account the regional specification induces significant FDI...

Due to the continuous growth of China's electricity demand, the efficiency of electricity consumption has drawn great attention. Based on 31 provincial panel data in China from 2004 to 2018, this study uses the spatial autocorrelation test and spatial econometric methods to quantitatively...

In this paper, we use provincial panel data on China for the 2002-19 period to conduct a spatial autocorrelation analysis of household saving rates as well as a dynamic panel analysis of the determinants of household saving rates using a spatial Durbin model. To summarize our main findings, we...