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Evaluating the value of an entrepreneurial city with a spatial hedonic approach: A case study of London

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  • Nakamura, Hiroki

Abstract

This study assesses the value of a city by using the housing price function with a geographically weighted regression model, including various social, economic, and environmental factors. To assess these values, various specific data scores—such as those related to ethnic groups, green areas, crime rates, education, unemployment rates, number of entrepreneurs, and environmental quality—were considered in a case study of London. The results indicate that some variables such as time to city center and entrepreneurship have a positive impact on the local areas’ value in London, as shown by housing prices, while those related to unemployment have a negative impact. Moreover, although the London city center has benefitted more in terms of value than its outskirts have, a few specific policies related to startups and entrepreneurship have succeeded in connecting these areas to existing companies and entrepreneurs. In general, large cities may be better equipped to promote such startup and entrepreneurship policies under local industry plans for future development.

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  • Nakamura, Hiroki, 2020. "Evaluating the value of an entrepreneurial city with a spatial hedonic approach: A case study of London," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:soceps:v:71:y:2020:i:c:s0038012118302003
    DOI: 10.1016/j.seps.2020.100820
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    1. Lelo, Keti & Monni, Salvatore & Tomassi, Federico, 2019. "Socio-spatial inequalities and urban transformation. The case of Rome districts," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    2. Zhang, Lulu & Xiong, Lichun & Cheng, Baodong & Yu, Chang, 2018. "How does foreign trade influence China’s carbon productivity? Based on panel spatial lag model analysis," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 171-179.
    3. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    4. Dubin, Robin A., 1992. "Spatial autocorrelation and neighborhood quality," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 433-452, September.
    5. Yan Kestens & Marius Thériault & François Des Rosiers, 2006. "Heterogeneity in hedonic modelling of house prices: looking at buyers’ household profiles," Journal of Geographical Systems, Springer, vol. 8(1), pages 61-96, March.
    6. Pei-shan Liao, 2009. "Parallels Between Objective Indicators and Subjective Perceptions of Quality of Life: A Study of Metropolitan and County Areas in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 91(1), pages 99-114, March.
    7. Luc Anselin & Nancy Lozano-Gracia, 2009. "Errors in variables and spatial effects in hedonic house price models of ambient air quality," Studies in Empirical Economics, in: Giuseppe Arbia & Badi H. Baltagi (ed.), Spatial Econometrics, pages 5-34, Springer.
    8. James Valente & ShanShan Wu & Alan Gelfand & C.F. Sirmans, 2005. "Apartment Rent Prediction Using Spatial Modeling," Journal of Real Estate Research, American Real Estate Society, vol. 27(1), pages 105-136.
    9. Pontarollo, Nicola & Serpieri, Carolina, 2020. "A composite policy tool to measure territorial resilience capacity," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    10. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    11. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    12. Julie Le Gallo & Luc Anselin, 2006. "Interpolation of air quality measures in hedonic house price models: spatial aspects," Post-Print hal-00401242, HAL.
    13. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
    14. KONDO Keisuke, 2016. "Introduction to Spatial Econometric Analysis: Creating spatially lagged variables in Stata," Discussion papers 16901, Research Institute of Economy, Trade and Industry (RIETI).
    15. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    16. David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2013. "Creating and managing spatial-weighting matrices with the spmat command," Stata Journal, StataCorp LP, vol. 13(2), pages 242-286, June.
    17. Michael Hagerty, 1999. "Unifying Livability and Comparison Theory: Cross-National Time-Series Analysis of Life-Satisfaction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 47(3), pages 343-356, July.
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    1. Nakamura, Hiroki & Managi, Shunsuke, 2020. "Entrepreneurship and marginal cost of CO2 emissions in economic development," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 1-14.
    2. Giacalone, Massimiliano & Mattera, Raffaele & Nissi, Eugenia, 2022. "Well-being analysis of Italian provinces with spatial principal components," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Mohamed A. Abdrabo & Mahmoud A. Hassaan & Rofida G. Abdelwahab, 2022. "A spatial hedonic approach for modeling the relationship between quality of urban life and housing prices, case study: Alexandria city, Egypt," Letters in Spatial and Resource Sciences, Springer, vol. 15(1), pages 59-77, April.

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