• International Commerce and Information Review
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• v.14 no.3
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• pp.159-183
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• 2012

Promoted in places like Korea, the central government and the local governments that can provide information on which to base investment policy to attract foreign direct mutation-specific gravity model (Shift-Share Model) In this study, the decrease of foreign direct investment performance using factors looked up in the industry. The sample period of 2009, 2010, 2011 nationwide (metropolitan and non-metropolitan separated) of foreign direct investment performance for Industry Standard Industrial Classification (Division) was conducted. Factors to look at the results of the National Growth Effect(NS), the industrial structure effect (IM), local allocation effect(RS) to decrease foreign direct investment in 2010 and 2011 non-metropolitan, metropolitan national growth effect(RS) is negative(-) has a value. Because it appears to be the aftermath of the global recession, the impact on the domestic economy Metropolitan area and the Industrial Mix Effect(IM) to the development of education, culture, business, and transportation, etc. in the development of service industries than in non-metropolitan valid environment. In the sector of services (food accommodation, business services, entertainment), We did it, was able to find the function. However, the Regional Share Effect(RS) be competitive in the manufacturing sector in metropolitan areas in the metal and chemical sectors have been identified. These results seems to enhance the competitiveness of the region, such as the metropolitan area's excellent workforce. Shift-Share analysis technique based on competitive factors of the region, to find the failure has limitations.

• Spatial Information Research
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• v.9 no.2
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• pp.341-352
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• 2001

This study was carried out to developed that appraisement model of Potential Productivity Index(PPI). PPI model was used Farmland Productivity Index(FPI) and Labor Productivity Index(LPI) by GIS, and PPI model applied to farm land consolidation region which has been completed recently. FPI was determined by overlapping Poly Grid of the soil properties at the analyzed project region. LPI was estimated by addition productive wages ratio of total direct productive cost. Addition productive wages determined by GIS Network analysis GIS Network analysis of working distance between farm house to paddy and each paddy. PPI variation of each the analyzed paddy of Masu and Weoncheon region was 0.967~0.780 respectively, and could be showed relative largely PPI value. PPI will provide basic element for large scaling and gathering of farm land and a substitute lot of farm land consolidation, and will be maximize productivity of paddy.