Abstract High-tech industrial agglomeration is conducive to boosting technological progress, promoting structure upgrading and realizing economic transformation, certainly affects the overall environmental efficiency. However, few recent studies have focused on its impact efficiency from a green perspective. In context of development economy, it great significance clarify links between high-tec...

In the present note we demonstrate how to implement the Lee and Yu (2010) procedure for fixed effects spatial panel data models available from the R (R Development Core Team 2012) package splm (Millo and Piras 2012). Additionally, we also show how to compute the impact estimates introduced by Kelejian, Tavlas, and Hondroyiannis (2006) and formalized in LeSage and Pace (2009). Unlike Matlab (MAT...

This paper considers the problem of prediction in a panel data regression model with spatial autocorrelation. In particular, we consider a simple demand equation for cigarettes based on a panel of 46 states over the period 1963-1992. The spatial autocorrelation due to neighboring states and the individual heterogeneity across states is taken explicitly into account. We derive the best linear un...

Spillovers have attracted wide attention in the areas of research in economics during the past decades. The reason for the interest in the topic lies in their important role in endogenous growth theory and the explanation of productivity growth. This paper investigates the spatial spillover of different types of public infrastructure on economic growth across EU-28 NUTS-II regions during 1995-2...

BACKGROUND Infant mortality is an important measure of human development, related to the level of welfare of a society. In order to inform public policy, various studies have tried to identify the factors that influence, at an aggregated level, infant mortality. The objective of this paper is to analyze the regional pattern of infant mortality in Brazil, evaluating the effect of infrastructure,...

This paper proposes the GMM estimation of the spatial dynamic panel data model with …xed e¤ects when n is large, and T can be large, but small relative to n. By eliminating …xed e¤ects to begin with, we investigate asymptotic properties of the estimators, where exogenous and predetermined variables are used as instruments. For the spatial dynamic panel data model, as compared with the dynamic p...

This paper derives several Lagrange Multiplier tests for the panel data regression model wih spatial error correlation. These tests draw upon two strands of earlier work. The Þrst is the LM tests for the spatial error correlation model discussed in Anselin (1988, 1999) and Anselin, Bera, Florax and Yoon (1996), and the second is the LM tests for the error component panel data model discussed in...

societies have paid attention to safety. this study examines the relationship between socio-economic factors and crime, emphasizing on immigration. due to the locational aspect of the data, spatial econometric techniques are used. the model has been specified in the form of spatial durbin panel data model (sdpdm). the specified model has been estimated for 30 provinces of iran in 2006-11 by con...