当前位置: X-MOL 学术Mathematics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Application of the Kernel Density Function for the Analysis of Regional Growth and Convergence in the Service Sector through Productivity
Mathematics ( IF 2.4 ) Pub Date : 2020-07-27 , DOI: 10.3390/math8081234
Ronny Correa-Quezada , Lucía Cueva-Rodríguez , José Álvarez-García , María de la Cruz del Río-Rama

The aim of this research work is to analyze growth and convergence processes in the service sector and its large groups, market, and non-market services, at the regional level in Ecuador by taking the labor productivity variable as a reference. The methodology used is an analysis of distributive dynamics of the data, applying the non-parametric method of Kernel density functions from a mathematical economics approach. The results obtained show that the service sector has non-alarming levels of inequality, its trend over time is increasing. When disaggregating the data, it was observed that non-market services show a rapid growth in inequality. In contrast, market services show greater stability during the period analyzed. Regarding intra-distribution dynamics for the service sector and its subsectors, in the long term, poor regions improve, while rich regions deteriorate. However, deterioration of advanced regions is less intense in non-market services.

中文翻译:

核密度函数在通过生产率分析服务业区域增长和趋同中的应用

这项研究工作的目的是通过以劳动生产率变量为参考,分析厄瓜多尔区域一级服务业及其大型团体,市场和非市场服务的增长和融合过程。所使用的方法是对数据的分布动力学进行分析,并采用数学经济学方法中的非参数核密度函数方法。获得的结果表明,服务业的不平等程度处于非警报水平,其趋势随着时间而增长。在分解数据时,观察到非市场服务的不平等迅速增长。相反,市场服务在分析期间显示出更大的稳定性。关于服务部门及其子部门的内部分配动态,从长期来看,贫困地区会有所改善,而富裕地区恶化。但是,在非市场服务领域,发达地区的恶化程度较小。
更新日期:2020-07-27
down
wechat
bug