Trading Industry Clusters amid the Legacy of Industrial Land-Use Planning in Southern California

2013 ◽  
Vol 45 (11) ◽  
pp. 2752-2770 ◽  
Author(s):  
Richard G Funderburg ◽  
Xiaoxue Zhou
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Southern California ◽  
Industry Clusters ◽  
Industrial Land ◽  
Industrial Land Use

scholarly journals Approach to Trading Off Economic and Environmental Values in Industrial Land-Use Planning

2010 ◽  
Vol 7 (4) ◽  
pp. 397-410 ◽  
Author(s):  
R. M. Davis ◽  
G. S. Stacey ◽  
G. I. Nehman ◽  
F. K. Goodman
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Environmental Values ◽  
Industrial Land ◽  
Industrial Land Use

THE EFFECTS OF INDUSTRIAL LAND USE ON THE BAGMATI RIVER BASIN IN KATHMANDU, NEPAL

2017 ◽  
Author(s):  
Mohammad Iqbal ◽  
◽  
Tara N. Bhattarai ◽  
Chad Heinzel ◽  
Sushil Tuladhar
Keyword(s):  
Land Use ◽  
River Basin ◽  
Industrial Land ◽  
Industrial Land Use ◽  
Bagmati River

scholarly journals A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Chen ◽  
Rui He ◽  
Qun Wu
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Spatial Autocorrelation ◽  
Industrial Development ◽  
Efficiency Measure ◽  
Industrial Land ◽  
Envelope Analysis ◽  
Land Use Efficiency ◽  
Industrial Land Use ◽  
Use Efficiency

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.

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