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Journal of Geographical Systems

, Volume 11, Issue 4, pp 357–380 | Cite as

Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits

  • Morito TsutsumiEmail author
  • Hajime Seya
Original Article

Abstract

This study discusses the theoretical foundation of the application of spatial hedonic approaches—the hedonic approach employing spatial econometrics or/and spatial statistics—to benefits evaluation. The study highlights the limitations of the spatial econometrics approach since it uses a spatial weight matrix that is not employed by the spatial statistics approach. Further, the study presents empirical analyses by applying the Spatial Autoregressive Error Model (SAEM), which is based on the spatial econometrics approach, and the Spatial Process Model (SPM), which is based on the spatial statistics approach. SPMs are conducted based on both isotropy and anisotropy and applied to different mesh sizes. The empirical analysis reveals that the estimated benefits are quite different, especially between isotropic and anisotropic SPM and between isotropic SPM and SAEM; the estimated benefits are similar for SAEM and anisotropic SPM. The study demonstrates that the mesh size does not affect the estimated amount of benefits. Finally, the study provides a confidence interval for the estimated benefits and raises an issue with regard to benefit evaluation.

Keywords

Benefits evaluation Spatial hedonic approach Spatial error model Spatial process model Anisotropy 

JEL Classification

C21 R19 

Notes

Acknowledgments

The authors would like to thank Prof. Haruo Ishida and Prof. Atsushi Yoshida of the University of Tsukuba and Prof. Yasuhisa Hayashiyama of Tohoku University for their useful comments on the study. In addition, the authors are grateful to anonymous referees for their valuable comments and suggestions on our previous drafts. Of course, they are not responsible for the manner in which the comments and suggestions were used. This study was supported by a Grant-in-Aid for Scientific Research (B) (20560485).

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  1. 1.Department of Policy and Planning SciencesUniversity of TsukubaTsukuba, IbarakiJapan
  2. 2.PASCO CorporationMeguro, TokyoJapan

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