The software for spatial econometrics available in the R system for statistical computing is
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …

This chapter reviews econometric methods for large linear panel data models subject to
error cross-sectional dependence. Early panel data literature assumed cross-sectionally …

The population experiencing high temperatures in cities is rising due to anthropogenic
climate change, settlement expansion, and population growth. Yet, efficient tools to evaluate …

The threat of global climate change has caused the international community to pay close
attention to atmospheric levels of greenhouse gases such as carbon dioxide. Transportation …

The built environment is found to relate to running behaviors. However, the impacts of the
street environment on running were less addressed due to the lack of running data in large …

This study assessed the availability and accessibility of public electric vehicle (EV) charging
stations at the census tract level in King County, Washington, USA. A gravity model was …

A sufficient number of studies have highlighted that walkable neighborhoods can help to
reduce the risk of obesity and noncommunicable diseases (NCDs). The Chinese …

Based on data of 285 Chinese cities from 2003 to 2017, this paper mainly studies the impact
of the spatial agglomeration of Foreign direct investment (FDI) on the green total factor …

This paper investigates the spatial effects of economic globalization on CO 2 emissions in a
panel of 83 countries over the period 1985–2013. We apply the spatial panel method to …

Urban–rural differences in partisan political loyalty are as familiar in the United States as
they are in other countries. In this paper, we examine Gallup survey data from the early …