Background: This study critically examines the influence of national logistics infrastructure and market potential indicators and customs duty as a proxy for trade performance using an integrated measurement framework. Objectives: The aim of this study was to compute the relative data envelopment analysis (DEA) efficiency for a set of developed and emerging market (EM) countries using widely accepted trade and logistics infrastructure components. Global logistics remains an integral component of macroeconomics when studying the potential of developed and EM growth. The study investigated the relative and relevant trade, logistics infrastructure and market potential performance. Method: The methodological approach adopted in this study combined DEA efficiency and ordinary least squares (OLS) regressions for country-level comparisons. We incorporated trade export and import ratios for common sectors as trade performance proxies. Two important hypotheses were proposed in the study. Results: We showed several important results. Firstly, there was clear evidence that EM countries were just as efficient as developed markets despite the scale or size differences between these country groups. Secondly, efficient countries seemed to produce better trade performance outcomes. Thirdly, relative to predicting customs duty revenues, reliable infrastructure mattered. Conclusion: The evidence from our DEA and OLS analyses conducted suggests important relationships between logistics infrastructure, market potential and trade outcomes performance (as measured by customs duties and import and export ratios). Our data on 89 countries result in guidance for infrastructure improvement areas and linkages between market potential components and import and export ratios across key industry sectors.

中文翻译：

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探索国家一级的物流基础设施，市场潜力，发达和新兴市场之间的贸易出口

背景：本研究使用集成的度量框架严格审查了国家物流基础设施，市场潜力指标和关税对贸易绩效的影响。目标：这项研究的目的是使用广泛接受的贸易和物流基础设施组件，为一组发达和新兴市场（EM）国家计算相对数据包络分析（DEA）效率。在研究发达市场和新兴市场增长的潜力时，全球物流仍是宏观经济学不可或缺的组成部分。该研究调查了相对和相关的贸易，物流基础设施和市场潜力表现。方法：本研究采用的方法学方法将DEA效率和普通最小二乘（OLS）回归相结合，用于国家/地区比较。我们将常见行业的贸易进出口比率作为贸易绩效指标。该研究提出了两个重要的假设。结果：我们显示了几个重要结果。首先，有明确的证据表明，尽管新兴市场国家的规模或规模存在差异，但它们与发达市场一样有效。其次，有效率的国家似乎产生了更好的贸易绩效成果。第三，相对于预测关税收入，可靠的基础设施至关重要。结论：我们进行的DEA和OLS分析得出的证据表明，物流基础设施，市场潜力和贸易成果绩效之间的重要关系（以关税和进出口比率衡量）。