This paper studies the emissions of SO 2 and COD in China using fine-scale, countylevel
data. Using a widely used spatial autocorrelation index, Moran's I statistics, we first estimate …

ABSTRACT The Spatial Econometrics Association appeared on the scene only five years
ago during a time of unprecedented expansion of research activities in the field. This paper …

In this paper, we investigate the influence of airport operation on property prices. In this
research, we apply spatial hedonic regression and a difference-in-differences approach to …

Despite several attempts to compare and examine the predictive accuracy of real estate
sales and rent prices between the regression‐based and neural‐network (NN)‐based …

This paper attempts to assess the value of urban views in a bay city (Yokohama), Japan.
Firstly, three types of views, open view (goodness of visibility), green view (visibility of open …

With the collapse of the bubble economy in the early 1990s, economic disparities among
both people and regions have arisen in Japan. Although developments in spatial …

The recent progress of spatial econometrics has developed a new technique called the
“spatial hedonic approach,” which considers the elements of spatial autocorrelation among …

Employing a large dataset (at most, the order of n= 106), this study attempts enhance the
literature on the comparison between regression and machine learning-based rent price …

Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand
the most powerful, state-of-the-art spatial econometric methods, focusing particularly on …

Transportation infrastructure is known to affect the value of real estate property by virtue of
changes in accessibility. The impact of transportation facilities is highly localized as well …