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Corporate social responsibility and firm efficiency: a latent class stochastic frontier analysis

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Listed author(s):
  • Leonardo Becchetti
  • Giovanni Trovato

    ()

Abstract

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File URL: http://hdl.handle.net/10.1007/s11123-011-0207-5
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Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 36 (2011)
Issue (Month): 3 (December)
Pages: 231-246

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Handle: RePEc:kap:jproda:v:36:y:2011:i:3:p:231-246
DOI: 10.1007/s11123-011-0207-5
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/economics/microeconomics/journal/11123/PS2

Keywords: Stochastic frontier; Mixture models; Corporate social responsibility; M14; L21;

Find related papers by JEL classification:

  • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
  • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm

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  1. Donald Vitaliano & Gregory Stella, 2006. "The cost of Corporate Social Responsibility: the case of the Community Reinvestment Act," Journal of Productivity Analysis, Springer, vol. 26(3), pages 235-244, December.
  2. Leonardo Becchetti & Roberto Rocci & Giovanni Trovato, 2007. "Industry and time specific deviations from fundamental values in a random coefficient model," Annals of Finance, Springer, vol. 3(2), pages 257-276, March.
  3. Abagail McWilliams & Donald S. Siegel & Patrick M. Wright, 2006. "Corporate Social Responsibility: Strategic Implications," Journal of Management Studies, Wiley Blackwell, vol. 43(1), pages 1-18, 01.
  4. Freeman, Richard B, 1997. "Working for Nothing: The Supply of Volunteer Labor," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 140-166, January.
  5. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
  6. Marco Alfo & Giovanni Trovato & Robert J. Waldmann, 2008. "Testing for country heterogeneity in growth models using a finite mixture approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 487-514.
  7. Ronald Shadbegian & Wayne Gray, 2006. "Assessing multi-dimensional performance: environmental and economic outcomes," Journal of Productivity Analysis, Springer, vol. 26(3), pages 213-234, December.
  8. Catherine M. Paul & Donald Siegel, 2006. "Corporate social responsibility and economic performance," Journal of Productivity Analysis, Springer, vol. 26(3), pages 207-211, December.
  9. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  10. Marco Alfò & Giovanni Trovato, 2004. "Semiparametric mixture models for multivariate count data, with application," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 426-454, December.
  11. Yellen, Janet L, 1984. "Efficiency Wage Models of Unemployment," American Economic Review, American Economic Association, vol. 74(2), pages 200-205, May.
  12. Grifell-Tatje, E. & Lovell, C. A. K., 1997. "The sources of productivity change in Spanish banking," European Journal of Operational Research, Elsevier, vol. 98(2), pages 364-380, April.
  13. P. De Pelsmacker & L. Driesen & G. Rayp, 2003. "Are fair trade labels good business ? Ethics and coffee buying intentions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/165, Ghent University, Faculty of Economics and Business Administration.
  14. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-444, June.
  15. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2003. "Maximum likelihood estimation of generalized linear models with covariate measurement error," Stata Journal, StataCorp LP, vol. 3(4), pages 386-411, December.
  16. Salop, Steven C, 1979. "A Model of the Natural Rate of Unemployment," American Economic Review, American Economic Association, vol. 69(1), pages 117-125, March.
  17. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
  18. Donald S. Siegel & Donald F. Vitaliano, 2007. "An Empirical Analysis of the Strategic Use of Corporate Social Responsibility," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(3), pages 773-792, 09.
  19. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  20. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  21. Kreps, David M, 1997. "Intrinsic Motivation and Extrinsic Incentives," American Economic Review, American Economic Association, vol. 87(2), pages 359-364, May.
  22. Gurmu, Shiferaw & Elder, John, 2000. "Generalized bivariate count data regression models," Economics Letters, Elsevier, vol. 68(1), pages 31-36, July.
  23. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
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Cited by:

  1. Isaksson, Lars E. & Woodside, Arch G., 2016. "Modeling firm heterogeneity in corporate social performance and financial performance," Journal of Business Research, Elsevier, vol. 69(9), pages 3285-3314.
  2. Pablo Sánchez & Sonia Benito-Hernández, 2015. "CSR Policies: Effects on Labour Productivity in Spanish Micro and Small Manufacturing Companies," Journal of Business Ethics, Springer, vol. 128(4), pages 705-724, June.
  3. Shou-Lin Yang, 2016. "Corporate social responsibility and an enterprise’s operational efficiency: considering competitor’s strategies and the perspectives of long-term engagement," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2553-2569, November.

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