Chinese scientific output has increased dramatically in recent years, but its internal spatial structure has received scant attention. Estimated gravity models of intercity scientific coauthorships show that there are two types of spatial political bias in China, apart from the expected mass and distance effects. Intercity coauthorships involving Beijing are more common than Beijing's output volume and location would imply, and this Beijing bias is increasing over time. The second type o f spatial political bias is greater intraprovincial collaboration than is accounted for by size and distance. The geography o f Chinese science is thus not only monocentric as regards overall scientific output, but also exhibits unusually hierarchical collaboration patterns. Unlike in Europe and North America, national and regional capitals are becoming ever more important as scientific coordination centers.
Various approaches to hypothesis testing have been used in the past for the purpose of estimating hedonic price equations. The criteria for testing and rejecting explanatory variables have however rarely been made explicit. This paper argues that the results of earlier studies should be used according to structured and not overly arbitrary criteria for selecting which variables to test as well as for their subsequent acceptance or rejection. An explanatory analysis of Singapore's condominium market is used as an empirical illustration of the decision rule for variable selection proposed in the methodological part of the paper.
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