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Hajime Seya

Personal Details

First Name:Hajime
Middle Name:
Last Name:Seya
Suffix:
RePEc Short-ID:pse483
[This author has chosen not to make the email address public]
https://sites.google.com/site/hajimeseya/

Affiliation

Graduate School for International Development and Cooperation
Hiroshima University

Hiroshima, Japan
http://www.hiroshima-u.ac.jp/idec/

:


RePEc:edi:gshirjp (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Yamagata, Yoshiki & Seya, Hajime, 2013. "Simulating a future smart city: An integrated land use-energy model," Applied Energy, Elsevier, vol. 112(C), pages 1466-1474.
  2. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
  3. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
  4. Morito Tsutsumi & Hajime Seya, 2009. "Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits," Journal of Geographical Systems, Springer, vol. 11(4), pages 357-380, December.
  5. Morito Tsutsumi & Hajime Seya, 2008. "Measuring the impact of large-scale transportation projects on land price using spatial statistical models," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 385-401, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Yamagata, Yoshiki & Seya, Hajime, 2013. "Simulating a future smart city: An integrated land use-energy model," Applied Energy, Elsevier, vol. 112(C), pages 1466-1474.

    Cited by:

    1. Hung, Duong Quoc & Dong, Zhao Yang & Trinh, Hieu, 2016. "Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support," Applied Energy, Elsevier, vol. 183(C), pages 160-169.
    2. Kikuchi, Yasunori & Kimura, Seiichiro & Okamoto, Yoshitaka & Koyama, Michihisa, 2014. "A scenario analysis of future energy systems based on an energy flow model represented as functionals of technology options," Applied Energy, Elsevier, vol. 132(C), pages 586-601.
    3. Shimizu, Teruyuki & Kikuchi, Yasunori & Sugiyama, Hirokazu & Hirao, Masahiko, 2015. "Design method for a local energy cooperative network using distributed energy technologies," Applied Energy, Elsevier, vol. 154(C), pages 781-793.
    4. Wang, Xin & Li, Zhengwei & Meng, Haixing & Wu, Jiang, 2017. "Identification of key energy efficiency drivers through global city benchmarking: A data driven approach," Applied Energy, Elsevier, vol. 190(C), pages 18-28.
    5. Yin, Yanhong & Mizokami, Shoshi & Aikawa, Kohei, 2015. "Compact development and energy consumption: Scenario analysis of urban structures based on behavior simulation," Applied Energy, Elsevier, vol. 159(C), pages 449-457.
    6. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Weng, Peifen & Ren, Jianxing, 2018. "Coupling optimization of urban spatial structure and neighborhood-scale distributed energy systems," Energy, Elsevier, vol. 144(C), pages 472-481.
    7. Yin, Yanhong & Aikawa, Kohei & Mizokami, Shoshi, 2016. "Effect of housing relocation subsidy policy on energy consumption: A simulation case study," Applied Energy, Elsevier, vol. 168(C), pages 291-302.
    8. Vassileva, Iana & Campillo, Javier & Schwede, Sebastian, 2017. "Technology assessment of the two most relevant aspects for improving urban energy efficiency identified in six mid-sized European cities from case studies in Sweden," Applied Energy, Elsevier, vol. 194(C), pages 808-818.

  2. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.

    Cited by:

    1. Sotirios Thanos & Jean Dubé & Diego Legros, 2016. "Putting time into space: the temporal coherence of spatial applications in the housing market," Post-Print hal-01338641, HAL.
    2. Takahiro Yoshida & Morito Tsutsumi, 2018. "On the effects of spatial relationships in spatial compositional multivariate models," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 57-70, March.
    3. Hyun, Dongwoo & Milcheva, Stanimira, 2018. "Spatial dependence in apartment transaction prices during boom and bust," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 36-45.
    4. Yingliang Weng & Pu Gong, 2017. "On price co-movement and volatility spillover effects in China’s housing markets," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 21(3), pages 240-255, July.
    5. Gong, Pu & Weng, Yingliang, 2016. "Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 173-191.

  3. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.

    Cited by:

    1. Holger Breinlich & Gianmarco I. P. Ottaviano & Jonathan R. W. Temple, 2013. "Regional Growth and Regional Decline," CEP Discussion Papers dp1232, Centre for Economic Performance, LSE.
    2. Li, Kui-Wai & Zhou, Xianbo & Pan, Zhewen, 2016. "Cross-country output convergence and growth: Evidence from varying coefficient nonparametric method," Economic Modelling, Elsevier, vol. 55(C), pages 32-41.
    3. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
    4. Marta Kuc, 2016. "Konwergencja społeczna i ekonomiczna regionów państw nordyckich," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 41, pages 175-188.
    5. Soundararajan, Pushparaj, 2013. "Regional income convergence in India: A Bayesian Spatial Durbin Model approach," MPRA Paper 44744, University Library of Munich, Germany.
    6. Raul Caruso & Ilaria Petrarca & Roberto Ricciuti, 2014. "Spatial Concentration of Military Dictatorships in Sub-Saharan Africa (1977-2007)," CESifo Working Paper Series 4802, CESifo Group Munich.

  4. Morito Tsutsumi & Hajime Seya, 2009. "Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits," Journal of Geographical Systems, Springer, vol. 11(4), pages 357-380, December.

    Cited by:

    1. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    2. Julia Koschinsky & Nancy Lozano-Gracia & Gianfranco Piras, 2012. "The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates," Journal of Geographical Systems, Springer, vol. 14(3), pages 319-356, July.
    3. Linda Gerkman, 2012. "Empirical spatial econometric modelling of small scale neighbourhood," Journal of Geographical Systems, Springer, vol. 14(3), pages 283-298, July.
    4. Eilers, Lea, 2016. "Spatial Dependence in Apartment Offering Prices in Hamburg," Annual Conference 2016 (Augsburg): Demographic Change 145639, Verein für Socialpolitik / German Economic Association.
    5. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
    6. Seya, Hajime & Yamagata, Yoshiki & Nakamichi, Kumiko, 2016. "Creation of municipality level intensity data of electricity in Japan," Applied Energy, Elsevier, vol. 162(C), pages 1336-1344.
    7. Hayato Nakanishi, 2017. "Quasi-experimental evidence for the importance of accounting for fear when evaluating catastrophic events," Empirical Economics, Springer, vol. 52(2), pages 869-894, March.

  5. Morito Tsutsumi & Hajime Seya, 2008. "Measuring the impact of large-scale transportation projects on land price using spatial statistical models," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 385-401, August.

    Cited by:

    1. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    2. Arthur Grimes & Chris Young, 2010. "Anticipatory Effects of Rail Upgrades: Auckland’s Western Line," Working Papers 10_11, Motu Economic and Public Policy Research.
    3. White, Karen, 2010. "Measuring Livability in Transportation Infrastructure Investments," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207267, Transportation Research Forum.
    4. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.

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