The purpose of this paper is to examine the hypothesis that the efficiency of Spanish tourism regions for the period 2005-2013 is determined by a group of contextual variables. In contrast with monitoring reports based on descriptive methods, this paper uses the Data Envelopment Analysis (DEA) bootstrap semiparametric procedure to investigate efficiency determinants. An innovative analysis addresses the problem of the stability of efficiency estimates of random changes in the isolated exogenous variables. The statistical significance of the potential attractors can offer a tool for strategic decisions, and no previous work compares the stability analysis results to the estimates derived from the two-stage algorithm. The model appropriately fits the data, with all the coefficients being of the correct sign and statistically significant. Hence, the fact that the exogenous variables influence the hypothesis is confirmed by the results, and the stability analysis helps to verify the significance of each variable. We also extend the traditional DEA analysis by exploring efficiency and productivity changes using the slacks-based measure (SBM) model and the bootstrapped Malmquist index approach to obtain total productivity growth estimates.

中文翻译：

---

西班牙地区的两阶段数据包络分析：效率决定因素和稳定性分析

本文的目的是检验 2005-2013 年期间西班牙旅游区的效率由一组背景变量决定的假设。与基于描述方法的监测报告相比，本文使用数据包络分析 (DEA) 引导半参数程序来研究效率决定因素。一项创新分析解决了孤立外生变量随机变化的效率估计的稳定性问题。潜在吸引子的统计显着性可以为战略决策提供工具，之前的工作没有将稳定性分析结果与两阶段算法得出的估计值进行比较。该模型适当地拟合了数据，所有系数都具有正确的符号并且具有统计显着性。因此，结果证实了外生变量影响假设的事实，稳定性分析有助于验证每个变量的显着性。我们还通过使用基于松弛的度量 (SBM) 模型和自举 Malmquist 指数方法探索效率和生产率变化来扩展传统的 DEA 分析，以获得总生产率增长估计。