henry rojas - Academia.edu (original) (raw)
Papers by henry rojas
In this research project we provide all the supplementary material that allow us to conduct some ... more In this research project we provide all the supplementary material that allow us to conduct some preliminary analysis for understanding the role of Sci-hub use in predicting papers citations.
Scientometrics, 2021
Citations are often used as a metric of the impact of scientific publications. Here, we examine h... more Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-Hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-Hub were cited 1.72 times more than papers not downloaded from Sci-Hub and that the number of downloads from Sci-Hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact.
Journal of Internet Commerce, 2021
Customer's trust in vendors' reputation is a key factor that facilitates economic transactions in... more Customer's trust in vendors' reputation is a key factor that facilitates economic transactions in ecommerce platforms. Although the trust-sales relationship is assumed robust and consistent, its empirical evidence remains neglected for Latin American countries. This work aims to provide a data-driven comprehensive framework for extracting valuable knowledge from public data available in the leading Latin American e-commerce platform with commercial operations in 18 countries. Only Argentina,
International Economic Journal, 2021
ABSTRACT Reducing global warming effects without jeopardizing economic prosperity demands the ana... more ABSTRACT Reducing global warming effects without jeopardizing economic prosperity demands the analysis of the link between these factors. Environmental degradation and economic growth are thought to be related in a non-linear manner, following an inverted-U pattern called the ‘Environmental Kuznets Curve’ (EKC). Despite the many studies seeking empirical support for this relationship, the literature does not provide conclusive findings. By presenting the Economic Complexity Index (ECI) as an explanatory variable, this paper aims at providing a comprehensive analysis of EKC from 86 countries with different development levels, covering the period between 1971 and 2014. Different statistical estimation techniques were used, including an Adaptive Neuro-Fuzzy Inference System (ANFIS) model, dynamic panel data techniques, and the Sasabuchi–Lind–Mehlum (SLM) test. The results show no clear evidence supporting the idea of EKC, neither for production volumes nor for production sophistication, as captured by ECI. Nonetheless, when ECI increases, pollution levels drop monotonously only for developed countries.
Scientometrics, 2019
The so-called index of economic complexity, based on nations' exports, was initially proposed as ... more The so-called index of economic complexity, based on nations' exports, was initially proposed as an alternative to traditional macroeconomic metrics just as the scientific productivity of countries which has also been deemed as a better predictor of economic growth. Adequate scrutiny to the relationship between these two factors, however, remains little explored. This paper aims to examine the relationship between economic complexity and scientific production while identifying which areas of knowledge hold to this relationship best. By applying panel data techniques to a sample of 91 countries between 2003 and 2014, we found that scientific productivity in basic sciences and engineering has a significant positive effect on the economic complexity of countries. This relationship, however, only remains stable for high-income countries, where university-industry-government capabilities interact to stimulate and generate innovation and strategies for economic growth of firms.
PLOS ONE, 2019
The accumulation of knowledge required to produce economic value is a process that often relates ... more The accumulation of knowledge required to produce economic value is a process that often relates to nations economic growth. Some decades ago many authors, in the absence of other available indicators, used to rely on certain measures of human capital such as years of schooling, enrollment rates, or literacy. In this paper, we show that the predictive power of years of education as a proxy for human capital started to dwindle in 1990 when the schooling of nations began to be homogenized. We developed a structural equation model that estimates a metric of human capital that is less sensitive than average years of education and remains as a significant predictor of economic growth when tested with both cross-section data and panel data.
In this research project we provide all the supplementary material that allow us to conduct some ... more In this research project we provide all the supplementary material that allow us to conduct some preliminary analysis for understanding the role of Sci-hub use in predicting papers citations.
Scientometrics, 2021
Citations are often used as a metric of the impact of scientific publications. Here, we examine h... more Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-Hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-Hub were cited 1.72 times more than papers not downloaded from Sci-Hub and that the number of downloads from Sci-Hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact.
Journal of Internet Commerce, 2021
Customer's trust in vendors' reputation is a key factor that facilitates economic transactions in... more Customer's trust in vendors' reputation is a key factor that facilitates economic transactions in ecommerce platforms. Although the trust-sales relationship is assumed robust and consistent, its empirical evidence remains neglected for Latin American countries. This work aims to provide a data-driven comprehensive framework for extracting valuable knowledge from public data available in the leading Latin American e-commerce platform with commercial operations in 18 countries. Only Argentina,
International Economic Journal, 2021
ABSTRACT Reducing global warming effects without jeopardizing economic prosperity demands the ana... more ABSTRACT Reducing global warming effects without jeopardizing economic prosperity demands the analysis of the link between these factors. Environmental degradation and economic growth are thought to be related in a non-linear manner, following an inverted-U pattern called the ‘Environmental Kuznets Curve’ (EKC). Despite the many studies seeking empirical support for this relationship, the literature does not provide conclusive findings. By presenting the Economic Complexity Index (ECI) as an explanatory variable, this paper aims at providing a comprehensive analysis of EKC from 86 countries with different development levels, covering the period between 1971 and 2014. Different statistical estimation techniques were used, including an Adaptive Neuro-Fuzzy Inference System (ANFIS) model, dynamic panel data techniques, and the Sasabuchi–Lind–Mehlum (SLM) test. The results show no clear evidence supporting the idea of EKC, neither for production volumes nor for production sophistication, as captured by ECI. Nonetheless, when ECI increases, pollution levels drop monotonously only for developed countries.
Scientometrics, 2019
The so-called index of economic complexity, based on nations' exports, was initially proposed as ... more The so-called index of economic complexity, based on nations' exports, was initially proposed as an alternative to traditional macroeconomic metrics just as the scientific productivity of countries which has also been deemed as a better predictor of economic growth. Adequate scrutiny to the relationship between these two factors, however, remains little explored. This paper aims to examine the relationship between economic complexity and scientific production while identifying which areas of knowledge hold to this relationship best. By applying panel data techniques to a sample of 91 countries between 2003 and 2014, we found that scientific productivity in basic sciences and engineering has a significant positive effect on the economic complexity of countries. This relationship, however, only remains stable for high-income countries, where university-industry-government capabilities interact to stimulate and generate innovation and strategies for economic growth of firms.
PLOS ONE, 2019
The accumulation of knowledge required to produce economic value is a process that often relates ... more The accumulation of knowledge required to produce economic value is a process that often relates to nations economic growth. Some decades ago many authors, in the absence of other available indicators, used to rely on certain measures of human capital such as years of schooling, enrollment rates, or literacy. In this paper, we show that the predictive power of years of education as a proxy for human capital started to dwindle in 1990 when the schooling of nations began to be homogenized. We developed a structural equation model that estimates a metric of human capital that is less sensitive than average years of education and remains as a significant predictor of economic growth when tested with both cross-section data and panel data.