2.这是瑞典的项目论文。论文很大,有44页。涉及的变量也比较多,比较细。
Using Spatial Econometrics to Analyze Local Growth in Sweden – Revised and Extended
Johan Lundberg
Centre for Regional Science,Umeå University
This paper investigates factors that determine the average income growth and net migration rates in Swedish municipalities during the period 1981 to 1999.
The main issue is to test the hypothesis that, conditionalon a set of other possible determinants of regional growth, the growth rate in one municipality is acted by the growth rates in its neighboring municipalities. We also test the hypothesis of conditional convergence, that is, the hypothesis that initially ’poorer’ regions tend to grow faster than initially ’richer’
regions conditional on the other explanatory variables in the model. We …nd a positive correlation between
net migration rates in neighboring municipalities, which suggests that net migration tend to ’spill over’ to
neighboring municipalities. When it comes to average income growth, our results indicate spatial dependence
in the error terms during the 1980’s. Such dependence is important in the sense that it indicates that shocks
into the system not only a¤ect the municipality where the shock has its origin but spread across the country.
In addition, and in contrast to previous empirical …ndings based on Swedish data, we do not …nd any clear
evidence in favour of the hypothesis of conditional convergence. Instead, our results predict conditional divergence
between municipalities located in the Stockholm region throughout the period and also for municipalities
outside the Stockholm region during the 1990’s.
Key words : Spatial econometrics, conditional conve rgence , regional growth, netmiratio n.
3. SPATIAL AUTOCORRELATION AND AUTOREGRESSIVE MODEL IN ECOLOGY
JEREMY W. LICHSTEIN,1,3 THEODORE R. SIMONS,1,4 SUSAN A. SHRINER,1 AND KATHLEEN E. FRANZREB2
1Cooperative Fish and Wildlife Research Unit, Department of Zoology, North Carolina State University,
Raleigh, North Carolina 27695-7617 USA
2Southern Appalachian Cooperative Ecosystems Studies Unit, Department of Forestry, Wildlife, and Fisheries,
University of Tennessee, Knoxville, Tennessee 37901 USA