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Valuing consumption services as technology transforms accessibility: Evidence from Beijing

Author

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  • Ying Chen
  • Paul Cheshire
  • Xiangqing Wang
  • You-Sin Wang

Abstract

Home delivery reduced the value of cities as locations to access variety in durable consumption goods. Food delivery services (FDS) are doing the same for restaurants. Home-streaming of sports or home-delivered restaurant meals are close but not perfect substitutes for the live experiences. Here we investigate the impact of FDS in Beijing. Employing a Bartik IV strategy, we find that a one standard deviation increase in the number of FDS-accessible restaurants generates a 7.1% increase in property values. The premium is estimated as equivalent to half a top-quality school. FDS appears to be changing how cities deliver welfare from consumption services and so modifies urban land rents and housing attributes. Its value and that of restaurant variety increase with household size but seems to reduce the value of well-equipped kitchens.

Suggested Citation

  • Ying Chen & Paul Cheshire & Xiangqing Wang & You-Sin Wang, 2024. "Valuing consumption services as technology transforms accessibility: Evidence from Beijing," CEP Discussion Papers dp2031, Centre for Economic Performance, LSE.
    • Handle: RePEc:cep:cepdps:dp2031
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    1. Krauss, Christopher & Do, Xuan Anh & Huck, Nicolas, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," European Journal of Operational Research, Elsevier, vol. 259(2), pages 689-702.
    2. Gilles Duranton & Diego Puga, 2023. "Urban Growth and Its Aggregate Implications," Econometrica, Econometric Society, vol. 91(6), pages 2219-2259, November.
    3. Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018. "Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 114-137, January.
    4. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2022. "Quasi-Experimental Shift-Share Research Designs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 181-213.
    5. Xu, Yangfei & Zhang, Qinghua & Zheng, Siqi, 2015. "The rising demand for subway after private driving restriction: Evidence from Beijing's housing market," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 28-37.
    6. Boualam, Brahim, 2014. "Does culture affect local productivity and urban amenities?," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 12-17.
    7. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
    8. Kyle Barron & Edward Kung & Davide Proserpio, 2021. "The Effect of Home-Sharing on House Prices and Rents: Evidence from Airbnb," Marketing Science, INFORMS, vol. 40(1), pages 23-47, January.
    9. Paul Cheshire & Stephen Sheppard, 2004. "Capitalising the Value of Free Schools: The Impact of Supply Characteristics and Uncertainty," Economic Journal, Royal Economic Society, vol. 114(499), pages 397-424, November.
    10. Garcia-López, Miquel-Àngel & Jofre-Monseny, Jordi & Martínez-Mazza, Rodrigo & Segú, Mariona, 2020. "Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona," Journal of Urban Economics, Elsevier, vol. 119(C).
    11. Su, Yichen, 2022. "Measuring the Value of Urban Consumption Amenities: A Time-Use Approach," MPRA Paper 113158, University Library of Munich, Germany.
    12. Liu, Crocker H. & Rosenthal, Stuart S. & Strange, William C., 2024. "Agglomeration Economies and the Built Environment: Evidence from Specialized Buildings and Anchor Tenants," Journal of Urban Economics, Elsevier, vol. 142(C).
    13. Daniel J. Graham, 2007. "Agglomeration, Productivity and Transport Investment," Journal of Transport Economics and Policy, University of Bath, vol. 41(3), pages 317-343, September.
    14. Li, Jing & Li, Liyao & Liu, Shimeng, 2022. "Attenuation of agglomeration economies: Evidence from the universe of Chinese manufacturing firms," Journal of Urban Economics, Elsevier, vol. 130(C).
    15. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    16. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    17. Koster, Hans R.A. & van Ommeren, Jos & Volkhausen, Nicolas, 2021. "Short-term rentals and the housing market: Quasi-experimental evidence from Airbnb in Los Angeles," Journal of Urban Economics, Elsevier, vol. 124(C).
    18. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 983-1028, December.
    19. Tabuchi, Takatoshi & Yoshida, Atsushi, 2000. "Separating Urban Agglomeration Economies in Consumption and Production," Journal of Urban Economics, Elsevier, vol. 48(1), pages 70-84, July.
    20. Huck, Nicolas, 2009. "Pairs selection and outranking: An application to the S&P 100 index," European Journal of Operational Research, Elsevier, vol. 196(2), pages 819-825, July.
    21. Kuang, Chun, 2017. "Does quality matter in local consumption amenities? An empirical investigation with Yelp," Journal of Urban Economics, Elsevier, vol. 100(C), pages 1-18.
    22. William Nordhaus & Xi Chen, 2015. "A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics," Journal of Economic Geography, Oxford University Press, vol. 15(1), pages 217-246.
    23. Chiara Farronato & Andrey Fradkin, 2022. "The Welfare Effects of Peer Entry: The Case of Airbnb and the Accommodation Industry," American Economic Review, American Economic Association, vol. 112(6), pages 1782-1817, June.
    24. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.
    25. Huck, Nicolas, 2010. "Pairs trading and outranking: The multi-step-ahead forecasting case," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1702-1716, December.
    26. Rappaport, Jordan, 2008. "Consumption amenities and city population density," Regional Science and Urban Economics, Elsevier, vol. 38(6), pages 533-552, November.
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    Keywords

    food delivery services; impact of choice in consumer services; hedonic analysis; changing urban consumption patterns;
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