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Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach

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  • Chen, Kun
  • Song, Yao-yao
  • Pan, Jiao-feng
  • Yang, Guo-liang

Abstract

This paper aims to measure the evolution of destocking performance of the Chinese Real Estate Industry based on a DEA (Data Envelopment Analysis)-Malmquist approach, which is seldom used in this industry in existing literature. In 2016, the Chinese government introduced a unified national destocking policy to reduce real estate inventory to save the downturn in the real estate market, but the effect was less than expected and led to soaring house prices in first-tier cities. By analysing the destocking performance over the period from 2005 to 2015, we find the following: (1) It is impossible to use a unified policy to effectively address the national destocking issue because of the difference of DMUs' destocking efficiency, input redundancy and total factor productivity score changes. (2) With the current destocking performance and investment status, the government is still ignoring the existing commercial real estate problems. (3) The redundancy of firm assets and staff indicates that zombie firms may exist and risk future unemployment in the real estate industry. (4) Despite the recently repeated government interventions in this industry, destocking performance remains falling since 2008, and problems in other regions is more severe than in central cities. (5) The financial crisis triggered by the US subprime mortgage crisis has had a great impact on China's real estate industry. The destocking performance dropped sharply in 2008, forcing the Chinese government to introduce policies to stimulate the real estate market. Policy recommendations are also put forward based on the findings.

Suggested Citation

  • Chen, Kun & Song, Yao-yao & Pan, Jiao-feng & Yang, Guo-liang, 2020. "Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
  • Handle: RePEc:eee:soceps:v:69:y:2020:i:c:s0038012118300077
    DOI: 10.1016/j.seps.2019.02.006
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    as
    1. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    2. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2008. "Asymptotics And Consistent Bootstraps For Dea Estimators In Nonparametric Frontier Models," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1663-1697, December.
    3. Ioannis E. Tsolas, 2011. "Modelling profitability and effectiveness of Greek-listed construction firms: an integrated DEA and ratio analysis," Construction Management and Economics, Taylor & Francis Journals, vol. 29(8), pages 795-807, July.
    4. Torben Schubert & Guoliang Yang, 2016. "Institutional change and the optimal size of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1129-1153, September.
    5. Stephen M. Miller & Thomas M. Springer, 2007. "Cost Improvements, Returns to Scale, and Cost Inefficiencies for Real Estate Investment Trusts," Working papers 2007-05, University of Connecticut, Department of Economics.
    6. John C. Topuz & Ali F. Darrat & Roger M. Shelor, 2005. "Technical, Allocative and Scale Efficiencies of REITs: An Empirical Inquiry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1961-1994, November.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. José L. Ruiz & Diego Pastor & Jesús T. Pastor, 2013. "Assessing Professional Tennis Players Using Data Envelopment Analysis (DEA)," Journal of Sports Economics, , vol. 14(3), pages 276-302, June.
    9. Anderson, Randy I. & Fok, Robert & Springer, Thomas & Webb, James, 2002. "Technical efficiency and economies of scale: A non-parametric analysis of REIT operating efficiency," European Journal of Operational Research, Elsevier, vol. 139(3), pages 598-612, June.
    10. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    11. John C. Topuz & Ali F. Darrat & Roger M. Shelor, 2005. "Technical, Allocative and Scale Efficiencies of REITs:," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9-10), pages 1961-1994.
    12. Yang, Guo-liang & Yang, Jian-bo & Liu, Wen-bin & Li, Xiao-xuan, 2013. "Cross-efficiency aggregation in DEA models using the evidential-reasoning approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 393-404.
    13. Eddie Hui & Joseph OOI & Kelvin Wong, 2007. "Economic Performance of Property Companies in Hong Kong," Journal of Property Research, Taylor & Francis Journals, vol. 24(2), pages 139-157.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Taewoo You & Hongmin Zi, 2007. "The economic crisis and efficiency change: evidence from the Korean construction industry," Applied Economics, Taylor & Francis Journals, vol. 39(14), pages 1833-1842.
    16. Korostelev, A.P. & Simar , L. & Tsybakov, A.B., 1995. "On estimation of monotone and convex boundaries," LIDAM Reprints CORE 1139, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
    18. Fare, Rolf & Grosskopf, Shawna & Norris, Mary, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Reply," American Economic Review, American Economic Association, vol. 87(5), pages 1040-1043, December.
    19. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
    Full references (including those not matched with items on IDEAS)

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    8. Hirofumi Fukuyama & Yong Tan, 2023. "Estimating market power under a nonparametric analysis: evidence from the Chinese real estate sector," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 599-622, June.

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