CANDIA VALLEJOS, CRISTIAN ESTEBAN
Thumbnail Image
Preferred name
CANDIA VALLEJOS, CRISTIAN ESTEBAN
Main Affiliation
Email
cristiancandia@udd.cl
ORCID
Scopus Author ID
57204968926

Research Output

2023 2023 2022 2022 2021 2021 2020 2020 2019 2019 0.0 0.0 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0

Filters

1
3
3
3
Reset filters

Settings
Now showing 1 - 3 of 3
No Thumbnail Available
Publication

Scaling behavior of public procurement activity

2021 , António Curado , Bruno Damásio , Sara Encarnação , CANDIA VALLEJOS, CRISTIAN ESTEBAN , Flávio L. Pinheiro , Hyejin Youn

Public procurement refers to the purchase by public sector entities—such as government departments or local authorities—of Services, Goods, or Works. It accounts for a significant share of OECD countries’ expenditures. However, while governments are expected to execute them as efficiently as possible, there is a lack of methodologies for an adequate comparison of procurement activity between institutions at different scales, which represents a challenge for policymakers and academics. Here, we propose using methods borrowed from urban scaling laws literature to study public procurement activity among 278 Portuguese municipalities between 2011 and 2018. We find that public procurement expenditure scales sublinearly with population size, indicating an economy of scale for public spending as cities increase their population size. Moreover, when looking at the municipal Scale-Adjusted Indicators (the deviations from the scaling law) by contract categories—Works, Goods, and Services—we are able to identify a richer local characterisation of municipalities based on the similarity of procurement activity. These results make up a framework for quantitatively studying local public expenditure by enabling policymakers a more appropriate foundation for comparative analysis.

View
No Thumbnail Available
Publication

The higher education space: connecting degree programs from individuals’ choices

2019 , CANDIA VALLEJOS, CRISTIAN ESTEBAN , Sara Encarnação , Flávio L. Pinheiro

AbstractData on the applicants’ revealed preferences when entering higher education is used as a proxy to build the Higher Education Space (HES) of Portugal (2008–2015) and Chile (2006–2017). The HES is a network that connects pairs of degree programs according to their co-occurrence in the applicants’ preferences. We show that both HES network structures reveal the existence of positive assortment in features such as gender balance, application scores, unemployment levels, academic demand/supply ratio, geographical mobility, and first-year drop-out rates. For instance, if a degree program exhibits a high prevalence of female candidates, its nearest degree programs in the HES will also tend to exhibit a higher prevalence when compared to the prevalence in the entire system. These patterns extend up to two or three links of separation, vanishing, or inverting for increasing distances. Moreover, we show that for demand/supply ratio and application scores a similar pattern occurs for time variations. Finally, we provide evidence that information embedded in the HES is not accessible by merely considering the features of degree programs independently. These findings contribute to a better understanding of the higher education systems at revealing and leveraging its non-trivial underlying organizing principles. To the best of our knowledge, this is the first network science approach for improving decision-making and governance in higher education systems.

View
No Thumbnail Available
Publication

From co-location patterns to an informal social network of gig economy workers

2023 , Gustavo Pilatti , CANDIA VALLEJOS, CRISTIAN ESTEBAN , Alessandra Montini , Flávio L. Pinheiro

AbstractThe labor market has transformed with the advent of the gig economy, characterized by short-term and flexible work arrangements facilitated by online platforms. As this trend becomes increasingly prevalent, it presents unique opportunities and challenges. In this manuscript, we comprehensively characterize the social networks of gig economy workers in each of the 15 cities studied. Our analysis reveals a scaling relationship between networks and the city population. In particular, we note the high level of modularity of the networks, and we argue that it results from the natural specialization of couriers along different areas of the cities. Furthermore, we show that degree and betweenness centrality is positively correlated with income but not with tenure. Our findings shed new light on the social organization of the gig economy workers and provide valuable insights for the management and design of gig economy platforms.

View