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Item type:Publication, Development and validation of a questionnaire to assess the health related Social Capital for Chronic Kidney Disease among Mexican adolescents(Public Library of Science (PLoS), 2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Smoothed Spherical Truncation based on Fuzzy Membership Functions: Application to the Molecular Encoding(2019); Scopus© Citations 2 8 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, What Drives Profit Income in Mexico’s Main Banks? Evidence Using Machine Learning(2023); ; Historically, the banking system has been critical to the development of economies by addressing funds efficiently—from customer savings and investors to the productive activities of people and companies, financing consumer goods and current expenses, housing, infrastructure projects and providing liquidity to the market. However, it must be transformed to respond to emerging demands in society for better financial products and services with a positive impact on living conditions and well-being. To achieve this, banks must create economic value—that is to say, banks should create profits in a sustained manner—in order to also create social value and thus generate shared value. The purpose of this study was twofold. The first aim was to identify the main factors that contributed to the majority of Mexican banking profits in the period from 2003 to 2021; the second aim of the study was to provide an innovative metric of banking performance. Using supervised machine learning algorithms and Principal Component Analysis, two prediction models were tested, and two banking performance indices were defined. The findings show that Random Forest is a reliable profit prediction model with a lower mean absolute error between the predicted yearly profit and losses and the actual data. There are no significant ranking position differences between the two performance indices. The first performance index obtained is novel due to its simplicity, since it is built on the basis of five values associated with commercial banking activity. In Mexico, no similar studies have been published. The indicator most widely used by regulators worldwide is the CAMELS index, which is a weighted average of the capital adequacy level, asset quality, management capacity, profitability, liquidity, and sensitivity to market risk. Its scale of 1 to 5 is useful for identifying the robustness and solvency of a bank, but not necessarily its capacity to generate profits. This approach might encourage banks to remain aware of their potential to create shared value and to develop competitive strategies to increase benefits for stakeholders. © 2023 by the authors.34 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Proposal for a comprehensive environmental key performance index of the green supply chain(2020)The consideration of environmental objectives in the design of green supply chains creates the need to build a set of key performance indicators for monitoring and control. There is a set of generally accepted environmental indicators for monitoring environmental objectives in the supply chain. However, so far these indicators have been disconnected from the operational and economic indicators of the supply chain. It is important to consider these elements in the integral performance of a green supply chain. The present work is a proposal of a general index of environmental performance that includes operational, financial, and environmental aspects that allow monitoring the integral performance of the supply chain by applying Principal Component Analysis of mixed data. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.Scopus© Citations 4 11 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Local institutions in Peru and the presence and number of fast-food outlets(2017); Navarro Castañeda, SandroPurpose: The paper aims to study the role of local institutions in the establishment of fast-food outlets in urban districts of Peru. In most urban districts, there are no fast-food outlets. The authors, therefore, study the effect of institutional quality on the presence or absence of these outlets and the number of outlets if these are present. Design/methodology/approach: The theoretical framework in which this paper is based on is the theory of agglomeration, which establishes that firms benefit from being close to each other. In particular, the paper builds on a model of market entry and competition in geographically independent local markets. An explicit expression was found for the equilibrium number of outlets (including zero) as a function of exogenous determinants of the demand for fast-food in each market, available infrastructure and institutional quality of the district’s government. Principal component analysis was used to construct measures of institutional quality based on administrative and organizational characteristics of district’s municipalities. These measures were incorporated as explanatory variables in a zero-inflated Poisson model, which is appropriate to handle count data and to accommodate excess zeros and which also allows the specification of different models for the zero part and the positive part. Findings: Institutional quality mainly affects the presence of fast-food outlets in a district. The quality of urban development management and use of information systems are relevant. An institutional variable particularly relevant in explaining the number of outlets is the presence of an investment programming office in the municipality. The authors confirm the general hypothesis of the paper: institutions have a role in explaining both the presence and number of fast-food outlets in a district. Overall, the results of this paper suggest that institutional quality of a municipal district is related to better infrastructure, which lowers the costs of establishing outlets. Research limitations/implications: Limitations in the availability of data at the regional and urban district level did not allow the authors to analyze other factors that affect entry decisions in the fast-food industry in Peru, such as controls to prevent corruption, legal uncertainty or crime. Another limitation was the lack of data on entry costs for each franchisee in each urban district. This forced the authors to use public infrastructure characteristics of the district as (imperfect) proxies of the entry costs. Practical implications: The instruments of urban development management and information systems can be effective at attracting investment to a district. These tools operate partly through an indirect effect, namely, the improvement of district infrastructure, which is necessary to reduce the costs of establishing companies. There is also synergy between national government’s programs to attract investment and the good institutional quality in local governments. On the contrary, poor local institutions can be an obstacle to the successful implementation of those national programs. Social implications: Foreign direct investment has a positive impact on the economic development of a country through knowledge spillovers. Therefore, any administrative reform to make local government practices more efficient can have an indirect impact on development. Originality/value: Principal component analysis is a statistical tool that can be important in building good measures of institutional quality by allowing the combination of different observable characteristics into one component that can be interpreted as an operational restriction. The count model allows the use of the primary, easily observable, dependent variable, namely, the number of outlets. Finally, the two-part model makes it possible to discern the effect of institutional quality on the presence or absence of outlets and the number of outlets if these are present. © 2017, © Emerald Publishing Limited.14 2