IDEAS home Printed from https://ideas.repec.org/a/vrs/bjrecm/v7y2019i1p98-109n6.html
   My bibliography  Save this article

Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis

Author

Listed:
  • Raja Prasad S.V.S.

    (National Institute of Construction Management and Research, Hyderabad, India)

Abstract

Indian real estate segment has been one of the utmost affected segments of economy contemplating the changes in economic policies. The Indian economy experienced a radical change as an outcome of demonetization and the consequences are perceived on the real estate segment. The current study has been proposed to evaluate the efficiency of Indian real estate firms by adopting the technique of data envelopment analysis during the pre- and post-period of demonetization. The aim of the research is to understand the effect of demonetization on the performance of the Indian real estate firms during the post-demonetization period compared to pre-demonetization period. Eight real estate firms have been considered for the analysis. The firms have been ranked on the basis of the efficiency score. It is evident from the results of the study that there is a significant difference between the ranks of the firms during the period of pre and post demonetization; and it can be elucidated that the demonetization has an impact on the performance of the firms.

Suggested Citation

  • Raja Prasad S.V.S., 2019. "Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 7(1), pages 98-109, January.
  • Handle: RePEc:vrs:bjrecm:v:7:y:2019:i:1:p:98-109:n:6
    DOI: 10.2478/bjreecm-2019-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/bjreecm-2019-0006
    Download Restriction: no

    File URL: https://libkey.io/10.2478/bjreecm-2019-0006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mohamed Mostafa, 2007. "Modeling the efficiency of GCC banks: a data envelopment analysis approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(7), pages 623-643, September.
    2. Tsou, Chi-Ming & Huang, Deng-Yuan, 2010. "On some methods for performance ranking and correspondence analysis in the DEA context," European Journal of Operational Research, Elsevier, vol. 203(3), pages 771-783, June.
    3. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    4. Ehsan Pourjavad & Hadi Shirouyehzad, 2014. "A data envelopment analysis approach for measuring the efficiency in continuous manufacturing lines: a case study," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 18(2), pages 142-158.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jeong-Hun Sin, 2020. "A study on the financial efficiency analysis method by redesigning the DEA model," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 347-363, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ehsan Pourjavad & Rene V. Mayorga, 2019. "A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1085-1097, March.
    2. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    3. Ni, Jinlan & Wei, Chu & Du, Limin, 2015. "Revealing the political decision toward Chinese carbon abatement: Based on equity and efficiency criteria," Energy Economics, Elsevier, vol. 51(C), pages 609-621.
    4. Juan Aparicio & Jesus T. Pastor & Jose L. Sainz-Pardo & Fernando Vidal, 2020. "Estimating and decomposing overall inefficiency by determining the least distance to the strongly efficient frontier in data envelopment analysis," Operational Research, Springer, vol. 20(2), pages 747-770, June.
    5. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    6. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    7. Caporaletti, L. E. & Dulá, J. H. & Womer, N. K., 1999. "Performance evaluation based on multiple attributes with nonparametric frontiers," Omega, Elsevier, vol. 27(6), pages 637-645, December.
    8. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Grzegorz Ślusarz & Barbara Gołębiewska & Marek Cierpiał-Wolan & Jarosław Gołębiewski & Dariusz Twaróg & Sebastian Wójcik, 2021. "Regional Diversification of Potential, Production and Efficiency of Use of Biogas and Biomass in Poland," Energies, MDPI, vol. 14(3), pages 1-20, January.
    10. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    11. Renata Machado de Andrade & Suhyung Lee & Paul Tae-Woo Lee & Oh Kyoung Kwon & Hye Min Chung, 2019. "Port Efficiency Incorporating Service Measurement Variables by the BiO-MCDEA: Brazilian Case," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    12. Halme, Merja & Joro, Tarja & Koivu, Matti, 2002. "Dealing with interval scale data in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 137(1), pages 22-27, February.
    13. Fu, Xiaolan, 2012. "How does openness affect the importance of incentives for innovation?," Research Policy, Elsevier, vol. 41(3), pages 512-523.
    14. María Victoria Uribe‐Bohorquez & Jennifer Martínez‐Ferrero & Isabel‐María García‐Sánchez, 2019. "Women on boards and efficiency in a business‐orientated environment," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 82-96, January.
    15. Wu, Desheng (Dash) & Lee, Chi-Guhn, 2010. "Stochastic DEA with ordinal data applied to a multi-attribute pricing problem," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1679-1688, December.
    16. Tianqun Xu & Ping Gao & Qian Yu & Debin Fang, 2017. "An Improved Eco-Efficiency Analysis Framework Based on Slacks-Based Measure Method," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    17. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    18. Simar, Leopold & Wilson, Paul, 2018. "Technical, Allocative and Overall Efficiency: Inference and Hypothesis Testing," LIDAM Discussion Papers ISBA 2018018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    20. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:bjrecm:v:7:y:2019:i:1:p:98-109:n:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.