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A dynamic SBM‐DEA and portfolio formation test approach to the operating efficiency‐stock returns nexus

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  • Ebenezer Fiifi Emire Atta Mills
  • Siegfried Anyomi
  • Mavis Agyapomah Baafi
  • Prasad Siba Borah

Abstract

This study assesses operating efficiency and its drivers in China's inefficient publicly traded real estate companies via dynamic slack‐based measure data envelopment analysis and panel regression techniques. This paper also investigates operating efficiency as a company characteristic impacting stock returns using a portfolio formation test. The results indicate that only 27 out of 106 listed real estate companies are operationally efficient. Return on assets, capital structure, higher education, and institutional ownership positively and significantly impact operating efficiency. The reward of an increase in operating efficiency is seen in its positive influence on stock returns. Listed real estate companies should improve the efficiency of their operational activities to generate higher stock returns.

Suggested Citation

  • Ebenezer Fiifi Emire Atta Mills & Siegfried Anyomi & Mavis Agyapomah Baafi & Prasad Siba Borah, 2022. "A dynamic SBM‐DEA and portfolio formation test approach to the operating efficiency‐stock returns nexus," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3095-3106, October.
    • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:7:p:3095-3106
    DOI: 10.1002/mde.3583
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    References listed on IDEAS

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    1. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    2. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    3. Brent W. Ambrose & Michael J. Highfield & Peter D. Linneman, 2005. "Real Estate and Economies of Scale: The Case of REITs," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 33(2), pages 323-350, June.
    4. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Developments in the efficiency of the Thailand banking sector: a DEA approach," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 9(3), pages 226-245, September.
    5. Cai, Zhaoyang & Liu, Qing & Cao, Shixiong, 2020. "Real estate supports rapid development of China's urbanization," Land Use Policy, Elsevier, vol. 95(C).
    6. Edward Glaeser & Wei Huang & Yueran Ma & Andrei Shleifer, 2017. "A Real Estate Boom with Chinese Characteristics," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 93-116, Winter.
    7. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    8. Liu, Chao & Zheng, Ying & Zhao, Qi & Wang, Chao, 2020. "Financial stability and real estate price fluctuation in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    9. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    10. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    11. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    12. Cheng, Gang & Zervopoulos, Panagiotis & Qian, Zhenhua, 2013. "A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 225(1), pages 100-105.
    13. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    14. Junxue Jia & Jia Gu & Guangrong Ma, 2021. "Real Estate Boom and Firm Productivity: Evidence from China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1218-1242, October.
    15. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
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