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Persistence of financial efficiency in indian hospitality and tourism industry: a dynamic panel Approach

Author

Listed:
  • Dinesh Jaisinghani

    (Bennett University)

  • Mahesh Joshi

    (RMIT University)

  • Jatin Goyal

    (Punjabi University)

  • Sharad Sharma

    (RMIT University)

Abstract

This paper analyses the degree of persistence of financial efficiency for the hospitality and tourism industry in India. The paper deploys the Data Envelopment Analysis technique to generate overall technical efficiency scores as well as pure technical efficiency scores. Furthermore, a dynamic panel technique proposed by Arellano and Bond (1991), is employed to test the degree of persistence of financial efficiency and its key determinants. The results confirm positive and significant persistence of efficiency for the sample firms from the hospitality industry in India. The overall results indicate that hospitality firms in India can create entry and exit barriers to generate positive persistence of financial efficiency. The study suggests regulators specifically focus on policies that can enhance the competitive dynamics of the industry. Such measures may make it imperative for the management of the firms in the sector to streamline their financial management policies to control costs and devise methods for the enhancement of revenues.

Suggested Citation

  • Dinesh Jaisinghani & Mahesh Joshi & Jatin Goyal & Sharad Sharma, 2023. "Persistence of financial efficiency in indian hospitality and tourism industry: a dynamic panel Approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1845-1863, April.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01368-y
    DOI: 10.1007/s11135-022-01368-y
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    1. Adelina Gschwandtner & Michael Hauser, 2016. "Profit persistence and stock returns," Applied Economics, Taylor & Francis Journals, vol. 48(37), pages 3538-3549, August.
    2. Stefan Hirsch & Monika Hartmann, 2014. "Persistence of firm-level profitability in the European dairy processing industry," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 53-63, November.
    3. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Cambridge Working Papers in Economics 1423, Faculty of Economics, University of Cambridge.
    4. Corne, Aurélie, 2015. "Benchmarking and tourism efficiency in France," Tourism Management, Elsevier, vol. 51(C), pages 91-95.
    5. 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.
    6. Kotabe, Masaaki & Jiang, Crystal Xiangwen & Murray, Janet Y., 2011. "Managerial ties, knowledge acquisition, realized absorptive capacity and new product market performance of emerging multinational companies: A case of China," Journal of World Business, Elsevier, vol. 46(2), pages 166-176, April.
    7. Huther, Jeff, 1997. "An empirical test of the effect of board size on firm efficiency," Economics Letters, Elsevier, vol. 54(3), pages 259-264, July.
    8. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
    9. Aditi Bhattacharyya, 2012. "Adjustment of inputs and measurement of technical efficiency: A dynamic panel data analysis of the Egyptian manufacturing sectors," Empirical Economics, Springer, vol. 42(3), pages 863-880, June.
    10. S C Ray, 2008. "The directional distance function and measurement of super-efficiency: an application to airlines data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 788-797, June.
    11. Ronald C. Anderson & David M. Reeb, 2003. "Founding-Family Ownership and Firm Performance: Evidence from the S&P 500," Journal of Finance, American Finance Association, vol. 58(3), pages 1301-1327, June.
    12. Schubert, Stefan Franz & Brida, Juan Gabriel & Risso, Wiston Adrián, 2011. "The impacts of international tourism demand on economic growth of small economies dependent on tourism," Tourism Management, Elsevier, vol. 32(2), pages 377-385.
    13. Karl Lundvall & George Battese, 2000. "Firm size, age and efficiency: Evidence from Kenyan manufacturing firms," Journal of Development Studies, Taylor & Francis Journals, vol. 36(3), pages 146-163.
    14. Aurélie Corne, 2015. "Benchmarking and tourism efficiency in France," Post-Print hal-02395171, HAL.
    15. Adelina Gschwandtner, 2005. "Profit persistence in the 'very' long run: evidence from survivors and exiters," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 793-806.
    16. Jaepil Choi & Heli Wang, 2009. "Stakeholder relations and the persistence of corporate financial performance," Strategic Management Journal, Wiley Blackwell, vol. 30(8), pages 895-907, August.
    17. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    18. Wang, Mei-Hui & Huang, Tai-Hsin, 2007. "A study on the persistence of Farrell's efficiency measure under a dynamic framework," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1302-1316, August.
    19. Dinesh Jaisinghani & Deepak Tandon & Dharminder Kumar Batra, 2018. "Capital expenditure and persistence of firm performance: an empirical study for the Indian automobiles industry," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 16(1), pages 39-56.
    20. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    21. Adelina Gschwandtner, 2012. "Evolution Of Profit Persistence In The Usa: Evidence From Three Periods," Manchester School, University of Manchester, vol. 80(2), pages 172-209, March.
    22. Eleonora Bartoloni & Maurizio Baussola, 2009. "The Persistence of Profits, Sectoral Heterogeneity and Firms' Characteristics," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 16(1), pages 87-111.
    23. Mariarosaria Agostino & Leone Leonida & Francesco Trivieri, 2005. "Profits persistence and ownership: evidence from the Italian banking sector," Applied Economics, Taylor & Francis Journals, vol. 37(14), pages 1615-1621.
    24. 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.
    25. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    26. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
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