Policy makers and interest groups have many questions about the use of improved
technologies in develo** country agriculture. These include the roles of policies …

In recent years, there has been a renewed interest in applying statistical ranking criteria to
identify sites on a road network, which potentially present high traffic crash risks or are over …

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 …

It is increasingly common for analysts to seek out the opinions of individuals and
organizations using attitudinal scales such as degree of satisfaction or importance attached …

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 …

The objective of this paper is to determine the ability of farmers in Africa to detect climate
change, and to ascertain how they have adapted to whatever climate change they believe …

The volume on New Directions in Spatial Econometrics appeared in 1995 as one of the first
in the then new Springer series on Advances in Spatial Sciences. It very quickly became …

Salesforce has been a key leader in evolving marketing within this digital era through the
use of specific marketing strategy aimed at creating and tracking marketing campaigns as …

In low potential agricultural areas like the Honduran hillsides characterized by soil
degradation and erosion, organic agriculture can provide a means to break the downward …

The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …