background: using spatial analysis tools to determine the spatial patterns of china province-level perinatal mortality and using spatial econometric model to examine the impacts of health care resources and different socio-economic factors on perinatal mortality. methods: the global moran’s i index is used to examine whether the spatial autocorrelation exists in selected regions and moran’s i s...

export is an important factor in economic development and the creation of regional agreements is one of the ways to facilitate trade and exports; but measuring the success rate of these agreements is one of the challenges of this field. in this study, we compared the factors affecting agricultural exports and imports in the eco and european :union: countries. the purpose of this study was to as...

The majority of the studies on regional convergence ignore the spatial characteristics of the problem. In a recent paper Rey and Montouri (1999) considered the issue of income regional convergence on US under the spatial econometric perspective. The present paper follows the Rey and Montouri’s (1999) approach and introduces some spatial econometric techniques for convergence among Brazilian sta...

Industrial agglomeration has gradually become an economic focus in recent years. Scholars has done a lot of research about the formation mechanism of industry agglomeration and its influencing factors, but the spatial correlation of variables has still been neglected. Firstly this paper gives a brief introduction about Geoda software and Matlab neural network toolbox, then use spatial statistic...

in recent years, the studies of location play a key role in success and stability of economic activities. location studies are under consideration in both national and international levels. meanwhile, identification of goals and methods of solving location problems have significant importance. the purpose of this paper is to examine spatial distribution of economic activities in 14 zones of esf...

The authors offer a unified method extending traditional spatial dependence with normally distributed error terms to a new class of spatial models based on the biparametric exponential family of distributions. Joint modeling of the mean and variance (or precision) parameters is proposed in this family of distributions, including spatial correlation. The proposed models are applied for analyzing...

The main objective of this work is to apply the hedonic pricing method using the methodology of spatial econometrics in order to assess the economic value of irrigation water, as one of the individual attributes of the value of agricultural land parcels. Most of the agricultural land’s value attributes, like neighbor characteristics as well as the availability of irrigation water, exhibit a spa...

a r t i c l e i n f o Higher-order spatial econometric models that include more than one weights matrix have seen increasing use in the spatial econometrics literature. There are two distinct issues related to the specification of these extended models. The first issue is what form the higher-order spatial econometric model takes, i.e. higher-order polynomials in the spatial weights matrices vs...

Heterogeneity is one of the distinguishing features in spatial econometric models. It is a frequent problem in applied work and can be very damaging for statistical inference. In this paper, we focus on the problems implied by the existence of instabilities in the mechanism of spatial dependence in a spatial lag model, assuming that the other terms of the specification remain stable. We begin t...