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Hajime Seya

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First Name:Hajime
Middle Name:
Last Name:Seya
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RePEc Short-ID:pse483
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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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Articles

  1. 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.
  2. 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.
  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. 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. Alice Barreca & Elena Fregonara & Diana Rolando, 2021. "EPC Labels and Building Features: Spatial Implications over Housing Prices," Sustainability, MDPI, vol. 13(5), pages 1-21, March.
    2. 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.
    3. Sotirios Thanos & Maria Kamargianni & Andreas Schäfer, 2018. "Car Travel Demand: Spillovers and Asymmetric Price Effects in a Spatial Setting," Transportation Science, INFORMS, vol. 52(3), pages 621-636, June.
    4. 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.
    5. Hongjie Bao & Ling Shan & Yufei Wang & Yuehua Jiang & Cheonjae Lee & Xufeng Cui, 2021. "How Does Local Real Estate Investment Influence Neighborhood PM 2.5 Concentrations? A Spatial Econometric Analysis," Land, MDPI, vol. 10(5), pages 1-21, May.
    6. Haiyong Zhang & Xinyu Wang, 2017. "Combined asymmetric spatial weights matrix with application to housing prices," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(13), pages 2337-2353, October.
    7. Ziwei Hu & Hotaka Kobori & Brent Swallow & Feng Qiu, 2022. "Willingness to pay for multiple dimensions of green open space: Applying a spatial hedonic approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(3), pages 179-201, September.
    8. 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.
    9. Wang, Yongpei & Yan, Qing & Yang, Jieru & Komonpipat, Supak & Zhang, Qian, 2024. "Can inter-provincial transmission reduce regional carbon emissions? Evidence from China," Energy Policy, Elsevier, vol. 184(C).
    10. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
    11. Xiaoling Wang & Hongling Yu & Peng Lv & Cheng Wang & Jun Zhang & Jia Yu, 2019. "Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA," Energies, MDPI, vol. 12(3), pages 1-21, February.
    12. Anna Gloria Billé & Roberto Benedetti & Paolo Postiglione, 2017. "A two-step approach to account for unobserved spatial heterogeneity," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 452-471, October.
    13. Dongling Wang & Yuming Zhang & Xiaoyi Zhang, 2022. "Impact of Environmental Regulation on Regional Innovative Ability: From the Perspective of Local Government Competition," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    14. Seya, Hajime & Yoshida, Takahiro & Tsutsumi, Morito, 2016. "Ex-post identification of geographical extent of benefited area by a transportation project: Functional data analysis method," Journal of Transport Geography, Elsevier, vol. 55(C), pages 1-10.
    15. Federico Dell’Anna & Marina Bravi & Carlos Marmolejo-Duarte & Marta Carla Bottero & Ai Chen, 2019. "EPC Green Premium in Two Different European Climate Zones: A Comparative Study between Barcelona and Turin," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    16. Hajime Seya & Kay W. Axhausen & Makoto Chikaraishi, 2020. "Spatial unconditional quantile regression: application to Japanese parking price data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 351-402, October.
    17. Hu, Ziwei & Swallow, Brent & Qiu, Feng, 2021. "Measuring the Amenity Value of Urban Open Space Using a Spatial Hedonic Approach: The Case of Edmonton, Canada," 2021 Conference, August 17-31, 2021, Virtual 315287, International Association of Agricultural Economists.
    18. 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.

  2. 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. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    2. 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.
    3. Kılkış, Şiir, 2022. "Urban emissions and land use efficiency scenarios towards effective climate mitigation in urban systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. 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.
    5. 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.
    6. 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.
    7. Nematchoua, Modeste Kameni & Marie-Reine Nishimwe, Antoinette & Reiter, Sigrid, 2021. "Towards nearly zero-energy residential neighbourhoods in the European Union: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Skiba, Marta & Mrówczyńska, Maria & Sztubecka, Małgorzata & Bazan-Krzywoszańska, Anna & Kazak, Jan K. & Leśniak, Agnieszka & Janowiec, Filip, 2021. "Probability estimation of the city’s energy efficiency improvement as a result of using the phase change materials in heating networks," Energy, Elsevier, vol. 228(C).
    9. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    10. 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.
    11. Wang, Yuanping & Ren, Hong & Dong, Liang & Park, Hung-Suck & Zhang, Yuepeng & Xu, Yanwei, 2019. "Smart solutions shape for sustainable low-carbon future: A review on smart cities and industrial parks in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 103-117.
    12. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    13. 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.
    14. 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.
    15. 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.

  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. Sanz-Córdoba, Patricia, 2020. "The role of infrastructure investment and factor productivity in international tax competition," Economic Modelling, Elsevier, vol. 85(C), pages 30-38.
    2. Anoop Chaturvedi & Shalabh & Sandeep Mishra, 2021. "Generalized Bayes Estimator for Spatial Durbin Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 267-285, December.
    3. 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.
    4. Fukuda, Shin-ichi & Okumura, Koki, 2020. "Regional convergence under declining population: The case of Japan," Japan and the World Economy, Elsevier, vol. 55(C).
    5. Raul Caruso & Nicola Pontarollo & Roberto Ricciuti, 2020. "Regional diffusion of military regimes in sub‐Saharan Africa," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 225-244, February.
    6. Демидова Ольга Анатольевна & Иванов Денис Сергеевич, 2016. "Модели Экономического Роста С Неоднородными Пространственными Эффектами (На Примере Российских Регионов)," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(1), pages 52-75.
    7. 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.
    8. Kena Mi & Rulong Zhuang, 2022. "Producer Services Agglomeration and Carbon Emission Reduction—An Empirical Test Based on Panel Data from China," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    9. 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.
    10. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    11. Soundararajan, Pushparaj, 2013. "Regional income convergence in India: A Bayesian Spatial Durbin Model approach," MPRA Paper 44744, University Library of Munich, Germany.
    12. Raul Caruso & Ilaria Petrarca & Roberto Ricciuti, 2014. "Spatial Concentration of Military Dictatorships in Sub-Saharan Africa (1977-2007)," CESifo Working Paper Series 4802, CESifo.
    13. Breinlich, Holger & Ottaviano, Gianmarco I P & Temple, Jonathan R, 2013. "Regional Growth and Regional Decline," Economics Discussion Papers 8977, University of Essex, Department of Economics.
    14. Rong Wang & Fayuan Wang, 2022. "Exploring the Role of Green Finance and Energy Development towards High-Quality Economic Development: Application of Spatial Durbin Model and Intermediary Effect Model," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    15. Stefania Cosci & Loredana Mirra, 2018. "A spatial analysis of growth and convergence in Italian provinces: the role of road infrastructure," Regional Studies, Taylor & Francis Journals, vol. 52(4), pages 516-527, April.
    16. Allah Morad Seif & Hossein Panahi & Davoud Hamidi Razi, 2017. "Regional Economic Growth and Spatial Spillover Effects in MENA Area," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(4), pages 765-787, Autumn.
    17. Qunxi Kong & Rongrong Li & Y. Ni & Dan Peng, 2022. "Does China’s green economic recovery generate a spatial convergence trend: an explanation using agglomeration effects and fiscal instruments," Economic Change and Restructuring, Springer, vol. 55(4), pages 2499-2526, November.
    18. Fayuan Wang & Rong Wang & Zhili He, 2022. "Exploring the Impact of “Double Cycle” and Industrial Upgrading on Sustainable High-Quality Economic Development: Application of Spatial and Mediation Models," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    19. Polina A. Popova & Tatiana V. Bukina & Dmitriy V. Kashin, 2024. "Influence of Interregional Spatial Effects on the Economic Development of Russian Regions," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(3), pages 751-775.
    20. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2022. "Labour market regimes, technology and rent-sharing in Japan," Economic Modelling, Elsevier, vol. 112(C).
    21. Hajime Seya & Kay W. Axhausen & Makoto Chikaraishi, 2020. "Spatial unconditional quantile regression: application to Japanese parking price data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 351-402, October.
    22. Yongqing Nan & Qin Li & Jinxiang Yu & Haiya Cai & Qin Zhou, 2020. "Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5337-5369, August.

  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. Takahiro Yoshida & Daisuke Murakami & Hajime Seya, 2024. "Spatial Prediction of Apartment Rent using Regression-Based and Machine Learning-Based Approaches with a Large Dataset," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 1-28, 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. Chuanhua Wei & Chenping Du & Nana Zheng, 2020. "A Changing Weights Spatial Forecast Combination Approach with an Application to Housing Price Prediction," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(4), pages 1-11, April.
    5. Eilers, Lea, 2016. "Spatial Dependence in Apartment Offering Prices in Hamburg," VfS Annual Conference 2016 (Augsburg): Demographic Change 145639, Verein für Socialpolitik / German Economic Association.
    6. Jacek Batóg & Iwona Foryś & Radosław Gaca & Michał Głuszak & Jan Konowalczuk, 2019. "Investigating the Impact of Airport Noise and Land Use Restrictions on House Prices: Evidence from Selected Regional Airports in Poland," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    7. 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.
    8. 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.
    9. 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.
    10. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    11. 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.
    12. Seya, Hajime & Yoshida, Takahiro & Tsutsumi, Morito, 2016. "Ex-post identification of geographical extent of benefited area by a transportation project: Functional data analysis method," Journal of Transport Geography, Elsevier, vol. 55(C), pages 1-10.

  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. Rodrigo García Arancibia & Pamela Llop & Mariel Lovatto, 2023. "Nonparametric prediction for univariate spatial data: Methods and applications," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 635-672, June.
    4. White, Karen, 2010. "Measuring Livability in Transportation Infrastructure Investments," 51st Annual Transportation Research Forum, Arlington, Virginia, March 11-13, 2010 207267, Transportation Research Forum.
    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. Melser, Daniel, 2020. "Estimating the housing capitalization effects of new infrastructure: Should we be using rents instead of prices?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 402-421.
    7. Zhiheng Yang & Chenxi Li & Yongheng Fang, 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China," Land, MDPI, vol. 9(1), pages 1-21, January.
    8. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    9. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    10. Grimes, Arthur & Young, Chris, 2013. "Spatial effects of urban rail upgrades," Journal of Transport Geography, Elsevier, vol. 30(C), pages 1-6.
    11. Seya, Hajime & Yoshida, Takahiro & Tsutsumi, Morito, 2016. "Ex-post identification of geographical extent of benefited area by a transportation project: Functional data analysis method," Journal of Transport Geography, Elsevier, vol. 55(C), pages 1-10.

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