The Construction and Management of Spatial Databases in Economics and Business Administration and the Development of Analytical Methodologies for them

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(1)Using the metropolitan database that we have developed, we obtained quantitative estimates of agglomeration economies, and, based on the estimates, we tested empirically if Tokyo is too big.(2)We have completed building the spatial database of the official land prices of the Tokyo metropolitan area, and have conducted a spatio-temporal analysis of the land market. We also developed a functional coefficient regression model that use non-parametric type estimation methods and applied it to the analysis of the official land price data. We conducted statistical testing of issues such as how big are the effects on land price of proximity to commercial facilities (such as shopping centers) and to green zones (such as parks and forests) and whether or not these effects are different between the suburbs and city centers(3)We developed a new ridge type estimator for a regression model and examined the properties of the estimator. Using tile new type estimator, we constructed a quality-adjusted price index for second-hand condominium housing.(4)Using the spatial database, we applied Markov Chain Monte Carlo method to obtain Bayes estimates of spatial factors affecting the effects of marketing activities and consumers' spatial purchasing behavior.(5) We established a new cost-benefit analysis methodology for investments in social overhead capital that has network effects. Based on these works, an error in the cost-benefit manual for transportation investment used in Japan was pointed out(6) We analyzed a variety of the economic effects of agglomeration economies in the monopolistic competition framework in economic geography and international economics