An expanding literature addresses spatial dimensions related to the elicitation, estimation,
interpretation and aggregation of stated preference (SP) welfare measures. Recognizing the …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

The marked increase in the availability of spatial data has forced researchers engaged in
land use modeling to directly confront the question of space and the theoretical and …

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial
Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects …

In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …

Bayesian methods have become widespread in marketing literature. We review the essence
of the Bayesian approach and explain why it is particularly useful for marketing problems …

Spatial econometrics has been criticized by some economists because some model
specifications have been driven by data‐analytic considerations rather than having a firm …

Increasing industrial water use efficiency is key to achieving sustainable industrial
development. This study employed bootstrap-data envelopment analysis to calculate the …

The comprehensive problems of the Yellow River Basin (YRB) can be divided into three
categories: water shortage, low-quality and low-efficiency in the industries, and insufficient …

This paper analyzes the endogeneity bias problem caused by associations of members
within a network when the spatial autoregressive (SAR) model is used to study social …