Efficiency and exogenous factors: evidence from Spanish tourism regions

IF 1.3 4区 管理学 Q3 BUSINESS Academia-Revista Latinoamericana De Administracion Pub Date : 2017-02-21 DOI:10.1108/ARLA-11-2015-0317
José Solana Ibáñez, L. González, C. Nieto
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引用次数: 2

Abstract

Purpose The purpose of this paper is to analyse the performance of Spanish tourism regions for the 2008-2011 period, to obtain a ranking of efficiency and to examine the hypothesis that the efficiency of these regions is determined by a group of contextual variables. Design/methodology/approach In contrast with monitoring reports based on descriptive methods, this paper uses data envelopment analysis (DEA) methodology and bootstrap semiparametric procedures to correct inherent bias. The significance of a group of exogenous factors is investigated and the importance of each determinant is ordered by its elasticity. Findings The ranking obtained by radial DEA models and by bias-corrected ones describes two remarkably different settings. The exogenous variables influence hypothesis and confirmed: that estimated coefficients are of the correct sign and statistically significant at 5 per cent. Originality/value The statistical significance of the potential attractors can offer an interesting tool for strategic decisions. The two-stage procedure employed has supposed a turning point in the methodology and there are only a handful of very recent studies of this type in the literature on tourism destination performance. In this sense, no previous work has considered the returns to scale test or the separability assumption. Following United Nations of World Tourism Organization recommendations, it is essential to move towards responsible tourism in all aspects. Some final considerations about the link between performance and sustainability of the Spanish tourist model are addressed in this study.
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效率与外生因素:来自西班牙旅游区的证据
本文的目的是分析2008-2011年期间西班牙旅游地区的表现,以获得效率排名,并检验这些地区的效率是由一组上下文变量决定的假设。与基于描述性方法的监测报告相比,本文使用数据包络分析(DEA)方法和自举半参数程序来纠正固有偏差。研究了一组外生因素的重要性,并将每个决定因素的重要性按其弹性排序。径向DEA模型和偏差校正模型所获得的排名描述了两种明显不同的设置。外生变量影响假设并证实:估计系数的符号正确,统计显著性为5%。原创性/价值潜在吸引因素的统计显著性可以为战略决策提供一个有趣的工具。所采用的两阶段程序假设了方法论的转折点,并且在关于旅游目的地绩效的文献中只有少数最近的这种类型的研究。在这个意义上,以前的工作没有考虑规模回报检验或可分性假设。按照联合国和世界旅游组织的建议,必须在各方面朝着负责任的旅游方向发展。关于西班牙旅游模式的绩效和可持续性之间的联系的一些最后考虑事项在本研究中得到解决。
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CiteScore
2.60
自引率
0.00%
发文量
20
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