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Analysing the lobby-effect of port competitiveness' determinants: a stochastic frontier approach

机译：分析港口竞争力决定因素的游说效应：一种随机前沿方法

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摘要

Building upon a formerly performed study on port competitiveness, this article discusses the use of a stochastic frontier model as an interesting novel use to test, identify and correct respondents' bias by applying it to competitiveness analysis based on perceptions of senior executives. Measuring the importance of competition determinants of seaports, conventionally analyzed using a SWOT-analysis based on (transport) infrastructure as a prime requirement for port activity growth, is an important issue to port management. However, it seems that the "institutional" environment of a seaport is also critical in obtaining a competitive advantage. In Haezendonck et al. (2000 and 2001) those port specific advantages and disadvantages were identified using factor analysis and L1-regression on the perceptions of 75 respondents, all senior executives and experts, through a survey. As regards the results of this study, critiques were formulated on the use of perceptions, often biased due to the political lob bying potential of the results. Since respondents often see independent studies as an opportunity to obtain more or early government subsidies, attract new investment pro jects or at least highlight the attention on their specific problems and demands, they were prone to underestimating the positive impact of the key success factors of the studied seaport compared to its main rivals, in this case major seaports in the so-called Hamburg-Le Havre competitive range. The purpose of this article is to test the assumption that respondents significantly underestimate the positive impact of port specific advantages and to see which of the respondent subgroups within the 75 respondents sample are more responsible than others for this underestimation. In addition, we argue and demonstrate that the use of a sto chastic frontier method is appropriate for this matter. Each of 25 considered competition determinants of the original study is decomposed into a noise and "efficiency" term, based on the Bayesian stochastic frontier model (BSFM). In this article, we find evidence that BSFM could be used to test the "lobby-effect" or underestimation of the real effect of determinants, that terminal operators as a sub group of respondents, are more likely to underestimate the key success factors than the subgroup of port experts and that those determinants that are directly related to gov ernment action show more underestimation than competi tiveness determinants that result from private investments.
机译：在以前对港口竞争力进行的研究的基础上，本文讨论了使用随机前沿模型作为一种有趣的新颖方法，用于测试，识别和纠正受访者的偏见，并将其应用于基于高级管理人员的看法的竞争力分析中。传统上使用基于（运输）基础设施的SWOT分析来分析港口竞争决定因素的重要性，这是港口活动增长的主要要求，这是港口管理的重要问题。但是，似乎海港的“体制”环境对于获得竞争优势也至关重要。在Haezendonck等人。 （2000年和2001年）使用因素分析和L1回归，通过调查对75位受访者，所有高级管理人员和专家的看法，确定了这些港口的特定优势和劣势。关于这项研究的结果，对看法的使用提出了批判，这些看法往往由于结果的潜在性而因政治高低而产生偏见。由于受访者经常将独立研究视为获得更多或早期政府补贴，吸引新投资项目或至少强调对其特定问题和需求的关注的机会，因此他们倾向于低估了成功的关键成功因素的积极影响。与主要竞争对手相比研究了海港，在这种情况下，主要港口处于所谓的汉堡-勒阿弗尔竞争范围。本文的目的是检验以下假设：受访者大大低估了港口特定优势的积极影响，并查看75名受访者样本中哪个受访者亚组比其他受访者对这一低估负有更大责任。此外，我们争论并证明，使用随机前沿方法对此问题是合适的。基于贝叶斯随机前沿模型（BSFM），原始研究的25个竞争决定因素中的每一个都被分解为噪声和“效率”项。在本文中，我们发现有证据表明，BSFM可以用于测试“游说效应”或低估决定因素的实际效果，即终端运营商作为被调查者的一个子组，比起被调查者更可能低估关键的成功因素。港口专家小组认为与政府行动直接相关的决定因素比由私人投资产生的竞争力决定因素低估了更多。

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  • 来源
    《Journal of productivity analysis》 |2011年第2期|p.113-123|共11页
  • 作者

    Elvira Haezendonck; Julien van den Broeck; Tim Jans;

  • 作者单位

    Faculty of Economic, Social and Political Sciences and Solvay Business School, Vrije Universiteit Brussel (VUB), Pleinlaan 2,1050 Brussels, Belgium;

    Faculty of Applied Economics, University of Antwerp (UA),Prinsstraat 13, 2000 Antwerp, Belgium;

    Faculty of Economic, Social and Political Sciences and Solvay Business School, Vrije Universiteit Brussel (VUB), Pleinlaan 2,1050 Brussels, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    port competitiveness; biased determinants; stochastic frontier;

    机译：港口竞争力;偏见因素;随机前沿;

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