Geographic Data Science for Analysis in Rural Areas: A Study Case of Financial Services Accessible in the Peruvian Agricultural Sector

Ramos-Sandoval R.; Lara R. · Lecture Notes in Networks and Systems (2023) · DOI: 10.1007/978-3-031-35314-7_24

Resumen

Due to the economic crisis, the agrarian sector could be found in a situation of greater vulnerability. This is due to a reduction in the availability of financial services in the sector, generated by the volatility of the conjuncture, added to the risk that characterizes the activities in the rural agricultural sector. Regarding the family agricultural sector, previous studies indicate that access to financial services is an outstanding challenge, which consequently inhibits the development of more profitable economic and social activities, which in turn generates an increase in the levels of vulnerability in the economies of small producers in the agricultural sector. This study argues that spatial patterns are important because they may provide clues about the causes and potential consequences of the context, which in this study will fall on territory occupation from the Peruvian financial services providers, which are supposed to supply credit to farmers. The proposals explored an emerging open source for geographic analysis that has been applied in Peruvian territory. The expansion and diversity of geographic data tools have the aim to promote digital transformation in cities, therefore, this research proposes to extend the limited diffusion of open-source tools developed applied spatial algorithms that could be modelled under a spatial statistic approach, focusing on the producer location's impact on access to financing.

Instituciones: Universidad Tecnológica del Perú