abstract

• This work aims to prove that the relationships of some variables related to social backgrounds have a positive influence on the economic development of a certain region. This study focuses on the central region of the State of San Luis Potosí, Mexico. We built a data set based on the last economic census in Mexico (2010). The data set contains information about the demographic and social status of several towns belonging to the municipalities of the central area of San Luis Potosí. We designed a PLS-SEM (Partial Least Squares—Structural Equations Model) based model to measure the main variables in this study. The model was tested in SmartPLS 2, and some measures were tested in Microsoft Excel. Conclusions are considered in this paper; principal results indicate that this region has improved in the economic and social conditions in terms of education; consequently, it could be attractive for local or foreign investors due to the privileged localization. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

authors

• Tenorio Martínez Leonardo David
• Yáñez Luna Juan Carlos

publication date

• 2021-01-01

published in

• Studies in Computational Intelligence  Book

keywords

• Regional economic development; Regional economic growth; Socioeconomic situation; Subregional study

Digital Object Identifier (DOI)

• 10.1007/978-3-030-73819-8_21

PubMed ID

start page

• 367

end page

• 385

volume

• 953

issue