目的 分析我国护理人力资源的区域差异及分布动态演进，为我国护理人力资源的合理配置和规划提供参考。方法 基于2011-2022年省级护理人力资源面板数据，通过测算Kernel密度和Dagum基尼系数对我国护理人力资源的区域差异及分布动态演进进行分析评价。结果 2011-2022年，在空间分布上，全国及各地区护理人力资源总量呈增加趋势，各区域差异逐步降低，且两极化特征明显；在区域差异上，我国护理人力资源总体差异均值为0.1149；区域内呈东部＞西部＞中部＞东北区域的梯度逐步递增趋势；区域间差异占总体差异的40.61%。结论 全国护理人力资源总体差异处于相对合理状态，区域间差异是主要来源，均等化水平逐步提升；政府应针对各区域精准施策，进一步稳定护理人力资源队伍，完善护理人力资源结构以促进护理人力资源的优质均衡发展。

Objective To analyze the regional differences and dynamic evolution of the distribution of nursing human resources in China，so as to provide reasonable suggestions and scientific references for the allocation and planning of nursing human resources in China.Methods Based on the panel data of provincial nursing human resources in from 2011-2022,we analyzed and evaluated the regional differences and dynamic evolution of the distribution of nursing human resources in China by measuring the Kernel density and Dagum Gini coefficient.Results From 2011 to 2022,in terms of spatial distribution,the total amount of nursing human resources across the country and in all regions showed an increasing trend,with the differences between regions gradually decreasing,and with obvious polarisation.In terms of regional differences,the average value of the overall difference in nursing human resources in China is 0.1149; the gradient within the region shows a gradual increase in the gradient of eastern ＞ western ＞ central ＞ north-eastern regions; inter-regional differences are the source of the overall difference,accounting for 40.61 percent of the total differences.Conclusions Overall differences in nursing human resources across the country are in a relatively reasonable state,with inter-regional differences being the main source,and the level of parity gradually rising; therefore,the government should implement precise measures for each region to further stabilise the nursing human resources workforce and improve the structural adjustment of nursing human resources,in order to promote the high-quality and balanced development of nursing human resources.

R47

新疆维吾尔研究生科研创新项目（XJ2023G211）；石河子大学科研基金资助项目（ZZZC202148）；石河子大学第一附属医院护理基金项目(HL202202)