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Stability analysis and efficiency determinants: empirical evidence

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  • José Solana-Ibáñez
  • Manuel Caravaca-Garratón
  • Lorena Para-González

Abstract

Efficiency determinants analysis is a main contemporary component in the productive efficiency literature. Two-stage data envelopment analysis (DEA) procedure supposed a turning point in the methodology as the significance of a certain exogenous factor can provide policymakers with accurate information for future strategic decisions, but a deeper scrutiny into the importance of each factor remains unsettled. This article provides a novelty theoretical extension and empirical application for the two-stage DEA bootstrap procedure. We define the stability coefficient (SC) whose magnitude reveals the effect of each exogenous factor in the efficiency estimates. We present empirical evidence to examine the hypothesis that the efficiency of the 17 Spanish tourism regions for the average period data 2005–2013 is determined by a group of contextual variables, illustrating how the SCs strengthen knowledge concerning the significance of each potential attractor. The results help us to classify the significant attractors into strong and weak, accordingly enhancing the public or private decision process, and henceforth avoiding the wastefulness of decision-making units spending.

Suggested Citation

  • José Solana-Ibáñez & Manuel Caravaca-Garratón & Lorena Para-González, 2017. "Stability analysis and efficiency determinants: empirical evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 24(9), pages 658-661, May.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:9:p:658-661
    DOI: 10.1080/13504851.2016.1218422
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    References listed on IDEAS

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    1. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    2. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    3. Wilson, Paul W., 2008. "FEAR: A software package for frontier efficiency analysis with R," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 247-254, December.
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    1. José Solana‐Ibáñez & Manuel Caravaca‐Garratón, 2021. "Stakeholder engagement and corporate social reputation: The influence of exogenous factors on efficiency performance (stakeholder engagement and exogenous factors): Stakeholder engagement and exogenou," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1891-1905, November.

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