Spatial analysis of regional specialization using Hurricane Katrina as a case study

被引:0
作者
Garen Evans
机构
[1] Dalton State College,
来源
GeoJournal | 2019年 / 84卷
关键词
Employment; Regional specialization; Hurricane Katrina; Spatial analysis; R11; R12;
D O I
暂无
中图分类号
学科分类号
摘要
This paper explores the spatial dimensions of regional specialization, with special emphasis on areas of Louisiana, Mississippi, Alabama, and Florida that were in the path of Hurricane Katrina in 2004, 2005, and 2006. By focusing on how spatial dispersion of export base sectors changed, it can be shown that (1) regional specialization was clustered for certain sectors of the economy in areas that were also affected by Hurricane Katrina; and (2) that changes in regional specialization associated with Hurricane Katrina can be identified with local indicators of spatial association. Our results show that from 2004 to 2006, there was significant positive spatial autocorrelation for three sectors: leisure and hospitality services; natural resources and mining; and professional and business services, but that there was little change from year-to-year. On the other hand, financial activities and other services were significant only in the immediate aftermath of the storm, a result that suggests a shifting employment base to meet the increased demand for these services in storm-affected areas. Using local indicators of spatial association, we identify the flow and ebb of spatial clustering of other services in Louisiana. Specifically, in East Baton Rouge, St. Helena, West Feliciana, East Feliciana, Tangipahoa, and Livingston parishes.
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页码:743 / 758
页数:15
相关论文
共 28 条
[1]  
Andrews R(1953)Mechanics of the urban economic base: Historical development of the base concept Land Economics 29 161-167
[2]  
Anselin L(1995)Local indicators of spatial association Geographical Analysis 27 93-115
[3]  
Bivand RS(2013)Computing the Jacobian in Gaussian spatial autoregressive models: An illustrated comparison of available methods Geographical Analysis 45 150-179
[4]  
Hauke J(2014)A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation Landscape and Urban Planning 121 117-128
[5]  
Kossowski T(2004)Constructing the spatial weights matrix using a local statistic Geographical Analysis 36 90-104
[6]  
Fan Chao(2003)Risk sharing and industrial specialization: Regional and international evidence American Economic Review 93 903-918
[7]  
Myint Soe(2007)Beyond Moran’s I: Testing for spatial dependence based on the spatial autoregressive model Geographical Analysis 39 357-375
[8]  
Getis A(2014)Notes on continuous stochastic phenomena International Journal of Disaster Risk Science 5 265-23
[9]  
Aldstadt J(1950)Export and economic growth Biometrika 37 17-688
[10]  
Kalemi-Ozcan S(2001)Do natural disasters promote long-run growth? Review of International Political Economy 8 661-687