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Our approach focuses on real estate (land) price data for the ex-post spatial evaluation.
Comparison of land price data: (i) in prime locations and (ii) by regions in Dhaka are presented in Tables 1 and 2 respectively.
Among these, Páez et al. [15] applied ESDA techniques to analyse the land price data in Sendai City, a middle- sized Japanese city with population rounding up to 1 million.
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Recent land-price data, he says, suggest that there has been some improvement.Partly because of these loans, there will probably be more closures and mergers of regional banks, especially the smaller, "second-tier" banks.
The classification of social status (high, middle, and low) was carried out by General Census of statistical center in 2005, informal settlement project data, statistical blocks data, land price in Tabriz municipality, and master and detailed plan reports.
Costs (NRW): As data on land price were not available at the municipal level, rent levels were used.
Geographically weighted regression (GWR) analysis was conducted in this study for the purpose in Wuhan, China, by using a 10-year panel data set of residential land price.
Data on labor costs and land price are described below.
This approach also allowed us to compare the theory of LEV land price calculations with the actual market prices in countries where data was available.
The data in Table 1 show that urban land price in Dhaka's prime locations have been increasing at an annual rate of 16.37 145.23%, depending on the location.
Regarding the land price evolution for the sugar cane booming state of São Paulo for the available data set between 2001 until 2008, the price for 1 ha of land was nearly fourfold in 8 years until it reached R$11,840/ha in 2008.
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