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Quantifying and modelling industrial and commercial land-use demand in France

Author

Listed:
  • Eda Ustaoglu

    (European Commission-Joint Research Centre, Institute for Environment and Sustainability, Sustainability Assessment Unit)

  • Filipe Batista e Silva

    (European Commission-Joint Research Centre, Institute for Environment and Sustainability, Sustainability Assessment Unit)

  • Carlo Lavalle

    (European Commission-Joint Research Centre, Institute for Environment and Sustainability, Sustainability Assessment Unit)

Abstract

Determinants of industrial/commercial land uses are controversial, and few studies have so far considered the factors influencing industrial and commercial developments. The understanding of such dynamics is important to simulate future land-use demand, which is an essential input for land-use modelling applications. The rigorous estimation of demand for industrial and commercial land is also important to support planning policies and decisions, which aim at allocating scarce land resources efficiently. This study uses regional data from 1990 and 2000 to investigate potential driving factors of industrial/commercial land demand for France, and 2012 data for model validation concerning the projections of land demand. A static model and a change model are specified based on the supply and demand relationship of the regional industrial/commercial land market in France. The estimated models indicate that regional characteristics of location and area, mineral resources and infrastructure, and socio-economic factors are critical to understanding industrial/commercial land developments. From regression analysis, static models show better performance over land-use change models in both the estimation and model validation stages. The change models are biased towards unobserved variables and time-lag effects of the changes in explanatory variables. The use of regression approaches is a valuable tool to explore the factors underlying industrial and commercial expansion at regional level, but their usage for long-term projections is subject to high uncertainties.

Suggested Citation

  • Eda Ustaoglu & Filipe Batista e Silva & Carlo Lavalle, 2020. "Quantifying and modelling industrial and commercial land-use demand in France," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 519-549, January.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:1:d:10.1007_s10668-018-0199-7
    DOI: 10.1007/s10668-018-0199-7
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    as
    1. Ramirez, M.D., 2006. "Latin American Investment Perfomance During the 1980-2002 Period: A Panel Cointegration Approach," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(2).
    2. Filipe Batista e Silva & Eric Koomen & Vasco Diogo & Carlo Lavalle, 2014. "Estimating Demand for Industrial and Commercial Land Use Given Economic Forecasts," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-14, March.
    3. Ingrid Nappi‐Choulet Pr. & Tristan‐Pierre Maury, 2009. "A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(2), pages 305-340, June.
    4. Sotiris Tsolacos, 1998. "Econometric modelling and forecasting of new retail development," Journal of Property Research, Taylor & Francis Journals, vol. 15(4), pages 265-283, January.
    5. Heng Jiang & Chunlu Liu, 2011. "Forecasting construction demand: a vector error correction model with dummy variables," Construction Management and Economics, Taylor & Francis Journals, vol. 29(9), pages 969-979, August.
    6. Eda Ustaoglu & Carlo Lavalle, 2017. "Examining lag effects between industrial land development and regional economic changes: The Netherlands experience," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-34, September.
    7. Josep‐Maria Arauzo‐Carod & Daniel Liviano‐Solis & Miguel Manjón‐Antolín, 2010. "Empirical Studies In Industrial Location: An Assessment Of Their Methods And Results," Journal of Regional Science, Wiley Blackwell, vol. 50(3), pages 685-711, August.
    8. Justin Yifu Lin, 2012. "New Structural Economics : A Framework for Rethinking Development and Policy," World Bank Publications - Books, The World Bank Group, number 2232, December.
    9. Erik Louw & Erwin van der Krabben & Hans van Amsterdam, 2012. "The Spatial Productivity of Industrial Land," Regional Studies, Taylor & Francis Journals, vol. 46(1), pages 137-147, August.
    10. Myung-Jin Jun, 2005. "Forecasting Urban Land-Use Demand Using a Metropolitan Input-Output Model," Environment and Planning A, , vol. 37(7), pages 1311-1328, July.
    11. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    12. Catherine Bruneau & Souad Cherfouh, 2015. "Long-run equilibrium for the Greater Paris office market and short-run adjustments," Journal of Property Research, Taylor & Francis Journals, vol. 32(4), pages 301-323, December.
    13. Catherine Bruneau & Cherfouh Souad, 2015. "Long-run equilibrium for the Greater Paris office market and short-run adjustments," Post-Print hal-01451151, HAL.
    14. S. Thomas Ng & Ryan Fan & James Wong, 2011. "An econometric model for forecasting private construction investment in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 29(5), pages 519-534.
    15. Ryan Fan & S. Thomas Ng & James Wong, 2010. "Reliability of the Box-Jenkins model for forecasting construction demand covering times of economic austerity," Construction Management and Economics, Taylor & Francis Journals, vol. 28(3), pages 241-254.
    16. Tobias Just & Wolfgang Maennig (ed.), 2012. "Understanding German Real Estate Markets," Management for Professionals, Springer, edition 127, number 978-3-642-23611-2, December.
    17. Rose, Louis A., 1989. "Urban land supply: Natural and contrived restrictions," Journal of Urban Economics, Elsevier, vol. 25(3), pages 325-345, May.
    18. Ingrid Nappi‐Choulet & Isabelle Maleyre & Tristan‐Pierre Maury, 2007. "A Hedonic Model of Office Prices in Paris and its Immediate Suburbs," Journal of Property Research, Taylor & Francis Journals, vol. 24(3), pages 241-263, September.
    19. Getis, Arthur, 2007. "Reflections on spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 491-496, July.
    20. Pascal Beckers & Jan Schuur, 2015. "The Future Demand for Industrial Sites in the Netherlands: Is Employment a Good Predictor?," Regional Studies, Taylor & Francis Journals, vol. 49(9), pages 1535-1547, September.
    21. Goh Bee Hua & Teo Ho Pin, 2000. "Forecasting construction industry demand, price and productivity in Singapore: the Box-Jenkins approach," Construction Management and Economics, Taylor & Francis Journals, vol. 18(5), pages 607-618.
    22. Veldkamp, A. & Fresco, L.O., 1997. "Reconstructing land use drivers and their spatial scale dependence for Costa Rica (1973 and 1984)," Agricultural Systems, Elsevier, vol. 55(1), pages 19-43, September.
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    Cited by:

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    3. Wenfang Pu & Anlu Zhang, 2021. "Can Market Reforms Curb the Expansion of Industrial Land?—Based on the Panel Data Analysis of Five National-Level Urban Agglomerations," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    4. Pu, Wenfang & Zhang, Anlu & Wen, Lanjiao, 2021. "Can China’s resource-saving and environmentally friendly society really improve the efficiency of industrial land use?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(7).
    5. Wenfang Pu & Anlu Zhang & Lanjiao Wen, 2021. "Can China’s Resource-Saving and Environmentally Friendly Society Really Improve the Efficiency of Industrial Land Use?," Land, MDPI, vol. 10(7), pages 1-19, July.
    6. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    7. Fei Xie & Shuaibing Zhang & Kaixu Zhao & Fengmei Quan, 2022. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China," Land, MDPI, vol. 11(9), pages 1-33, September.
    8. Ping Zhang & Xiaojuan Yang & Hua Chen & Sidong Zhao, 2023. "Matching Relationship between Urban Service Industry Land Expansion and Economy Growth in China," Land, MDPI, vol. 12(6), pages 1-29, May.
    9. Junheng Qi & Mingxing Hu & Bing Han & Jiemin Zheng & Hui Wang, 2022. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China," Land, MDPI, vol. 11(8), pages 1-21, July.

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