The core of this study is to implement a statistical tool for measuring employability and identify its main functional factors using a theoretical model based on literary experience. The E-index explores the main elements of the Hungarian spatial structure and evaluates the territorial differentiation factors. The quantification of employability, beyond the complex indicator, is based on three more subdivisions: the quality of the economic and social environment and their relationship, the balance of supply and demand. The settlement types were identified by cluster analysis, the spatial “hot spots” and “cold spots” were localized using Getis–Ord’s G* statistics. The analysis revealed that the spatial structure of employability, though similar in some respects to the pattern outlined by the unemployment rate, shows significant differences from several points. The difference can be clearly seen in both macro and microstructures. In a microstructural view, if the labor market situation is more favorable than employability, it is often resulted by the spatial proximity of a city with prominent economic indicators. Typically, the more accessible a job center, the more it is able to generate higher employment than what could be deduced from the level of employability. At the same time, high employability and potentially exploitable workforce is conceivable even in unfavorable labor market areas.

中文翻译：

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衡量匈牙利就业能力的地区差异

这项研究的核心是使用一种基于文学经验的理论模型来实施一种统计工具，以衡量就业能力并确定其主要功能因素。E-index探索匈牙利空间结构的主要元素，并评估区域差异因素。除复杂指标外，就业能力的量化还基于三个细分：经济和社会环境的质量及其关系，供求平衡。通过聚类分析确定沉降类型，并使用Getis-Ord的G *统计数据对空间“热点”和“冷点”进行定位。分析表明，就业能力的空间结构虽然在某些方面与失业率概述的模式相似，从几个方面显示出显着差异。在宏观和微观结构上都可以清楚地看到这种差异。从微观结构来看，如果劳动力市场状况比就业能力更有利，那通常是由于具有重要经济指标的城市在空间上的接近。通常，与从就业水平上得出的结论相比，就业中心越容易接近，它就能创造出更高的就业机会。同时，即使在不利的劳动力市场领域，也可以想象到高就业能力和潜在的可利用劳动力。这通常是由于具有重要经济指标的城市在空间上接近而造成的。通常，与从就业水平上得出的结论相比，就业中心越容易接近，它就能创造出更高的就业机会。同时，即使在不利的劳动力市场领域，也可以想象到高就业能力和潜在的可利用劳动力。这通常是由于具有重要经济指标的城市在空间上接近而造成的。通常，与从就业水平上得出的结论相比，就业中心越容易接近，它就能创造出更高的就业机会。同时，即使在不利的劳动力市场领域，也可以想象到高就业能力和潜在的可利用劳动力。