A New Geospatial Framework for Understanding Spatial Heterogeneity in Work Values and Labor Market

With the development of information and communication technology (ICT), work has transcended traditional spatial constraints, potentially leading to a new geographical distribution of occupational values and labor markets. In this study, we innovatively leverage geographic information data to classify new global divisions, replacing the traditional comparative framework of administration-based intercontinental or national divisions. The primary criteria for this geographic classification will include factors such as altitude, ICT infrastructure, population density, and levels of urbanization. Next, we integrated data on labor markets and occupational attitudes from the databases such as the Word Bank's Global Jobs Indicators (JOIN), the International Labor Organization Statistics (ILOSTAT), International Social Survey Program (ISSP) , the World Values Survey(WVS), and the European Values Study(EVS) to create an independent research dataset. Finally, we employed the MGWR model within Geographic Information Systems (GIS) to conduct a geographically weighted regression analysis on the cleaned dataset. This study enables us to better understand the spatial heterogeneity of labor markets and the prevailing attitudes towards careers, and to shed light on the underlying factors behind these phenomena. Our approach will provide fresh perspectives and methods for comparing work values and the job market on a global scale.