This article summarizes a spatial econometric analysis of local population and employment growth in the Netherlands, with specific reference to impacts of gender and space. The simultaneous equations model used distinguishes between population‐ and gender‐specific employment groups, and includes autoregressive and cross‐regressive spatial lags to detect relations both within and among these groups. Spatial weights matrices reflecting different bands of travel times are used to calculate the spatial lags and to gauge the spatial nature of these relations. The empirical results show that although population–employment interaction is more localized for women's employment, no gender difference exists in the direction of interaction. Employment growth for both men and women is more influenced by population growth than vice versa. The interaction within employment groups is even more important than population growth. Women's, and especially men's, local employment growth mostly benefits from the same employment growth in neighboring locations. Finally, interaction between these groups is practically absent, although men's employment growth may have a negative impact on women's employment growth within small geographic areas. In summary, the results confirm the crucial roles of gender and space, and offer important insights into possible relations within and among subgroups of jobs and people.

中文翻译：

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性别，空间以及工作和人员的位置变化：空间联立方程分析。

本文总结了对荷兰当地人口和就业增长的空间计量经济学分析，并特别提到了性别和空间的影响。所使用的联立方程模型可以区分特定人群和特定性别的就业群体，并包括自回归和交叉回归的空间滞后，以检测这些群体内部和群体之间的关系。反映不同行进时间带的空间权重矩阵用于计算空间滞后并衡量这些关系的空间性质。实证结果表明，尽管人口与就业的互动更多地局限于妇女的就业，但在互动方向上没有性别差异。男性和女性的就业增长受人口增长的影响更大，反之亦然。就业群体之间的互动甚至比人口增长更为重要。妇女，特别是男子的本地就业增长主要得益于邻近地区的相同就业增长。最后，尽管男性的就业增长可能会在较小的地理区域内对女性的就业增长产生负面影响，但实际上几乎没有这些群体之间的互动。总而言之，研究结果证实了性别和空间的关键作用，并为深入了解工作和人员子群内部和之间的可能关系提供了重要见解。尽管男性的就业增长可能会在较小的地理区域内对女性的就业增长产生负面影响。总而言之，研究结果证实了性别和空间的关键作用，并为深入了解工作和人员子群内部和之间的可能关系提供了重要见解。尽管男性的就业增长可能会在较小的地理区域内对女性的就业增长产生负面影响。总而言之，研究结果证实了性别和空间的关键作用，并为深入了解工作和人员子群内部和之间的可能关系提供了重要见解。