This paper uses plant-level data from EPA and Census databases to incorporate spatial components in models of the environmental performance (compliance and emissions) of manufacturing plants. The spatial approaches include creating explanatory variables based on information related to the plant’s location and the location of nearby plants, testing for spatial autocorrelation in environmental pe...

3 A MODEL OF THE DETERMINANTS OF LAND USE 4 ECONOMETRIC TECHNIQUES 6

This paper proposes an extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to investigate the factors driving industrial carbon emissions in China. In the first stage, a spatial Durbin model is applied to investigate the determinants of regional industrial carbon emissions. In the second stage, a geographically and temporally weighted regression is...

In recent years, through the implementation of a series policies, such as delimitation major grain producing areas and construction advantageous characteristic agricultural product areas, spatial distribution agriculture in China has changed significantly; however, research on impact changes efficiency technology is still lacking. Taking 11 cities Hebei Province object, this study examines depe...

he main purpose of this research is to answer the question that "How neighborhood of Iran's trading partners will have an effect on Iran intra-industry trade? For this purpose, the impact of spatial neighborhood effects of 23 major trade partners on Iran’s intra-industry trade for the period of 1995-2014, has been investigated through Spatial Panel Econometric and Maximum Likelihood Estimator (...

R egional unbalanced growth and the factors affecting it are one of the most important economic issues in developing countries. In this research, after evaluating the regional inequality at the provincial level of Iran, in order to examine the effect of economic factors on it, it was considered as a spatial econometric model using panel data during the period of 2001 to 2015. The evaluatio...

Recently, spatial data set for fine zone scale becomes more important in urban planning. However, social or economic activity data such as transportation or production output are often difficult to get in the fine zone scale, due to the difficulties in survey. Comparing to these data, demographic data obtained in national census is able to easily get, so then an area interpolation by a regressi...