This research aims to identify the environmental factors that affect economic growth in developed and developing countries using a panel data regression model. In advanced economies, restrictions on international investment, emissions, the use of natural resources, and environmental preservation efforts stand out as influential variables. In contrast, in developing countries, contract enforcement, emissions, and exposure to air pollution are key determinants of economic performance. This study concludes that the natural environment plays a more significant role in the economic growth of developed countries, due to their greater capacity to implement sustainability policies. In developing countries, institutional conditions and environmental management are more relevant, highlighting the need to strengthen legal frameworks and invest in mitigation measures to achieve sustainable economic development.

Resumo The objective of the study is to analyze female entrepreneurship in eighteen countries in America and Europe during the period 2003 to 2015, identifying some factors associated with it. It focuses on the New Institutional Economics, which considers the role played by institutions (formal and informal) in the materialization of entrepreneurship. The study uses a multivariate statistical analysis based on two different sources (Global Entrepreneurship Monitor and World Bank) to explain the phenomenon based on various institutional factors (financing, government programs and policies, social and cultural aspects, administrative procedures, corruption). The results reveal some factors associated with female entrepreneurship, highlighting socio-cultural conditions, government policies, knowledge and skills of female entrepreneurs. These findings provide information derived from various policy adjustments and changes related to female entrepreneurship.

INTRODUCCIÓN: La transmisión de precios en el mercado agrícola es un campo de estudio importante dentro de los mercados agrícolas, permite analizar la formación de precios y el comportamiento de los consumidores. OBJETIVO. Este trabajo tiene como objetivo principal validar la presencia de transmisión de precios en el mercado de la papa de las provincias de Tungurahua y Chimborazo. MÉTODO. El trabajo utiliza un modelo de Vectores Autorregresivos, utilizando información oficial del Ministerio de Agricultura y Ganadería para el período enero 2013 – abril 2020, lo que representa un total de 88 observaciones. RESULTADOS. Se evidencia la existencia de causalidad, además se comprueba la presencia de una transmisión de precios activa, adicionalmente se aprecia relación a largo plazo entre los mercados de las provincias de Tungurahua y Chimborazo. DISCUSIÓN Y CONCLUSIONES. La cercanía geográfica y la historia comercial de las dos provincias provoca una relación constante haciendo que el precio de un producto, en este caso la papa, se traslade de un mercado a otro casi de manera inmediata, adicionalmente vale mencionar que la relación es principalmente unidireccional.

This study examines the relationship between quality of life and environmental degradation in Latin America and the Caribbean by analyzing data from 24 countries over the period 2007–2020 from a multidimensional perspective that integrates economic, social, and ecological dimensions. Employing a quantitative methodological approach based on panel data models and robust econometric tests, the research yields several significant findings. The reduction of forest areas is associated with a substantial negative impact on quality of life, as are elevated levels of air pollution, whereas access to sanitation services exhibits a highly significant positive relationship. These results underscore the extent to which environmental degradation constrains opportunities for human development, particularly among vulnerable populations. The study concludes that public policies must transcend traditional economic frameworks and adopt integrated strategies that simultaneously promote ecological conservation, improve basic infrastructure, and reduce persistent inequalities across the region.

This study delved into the complex world of cryptocurrencies, analyzing their behavior, profitability, and volatility. Through a thorough and meticulous analysis of the 2021 – 2023 period, the volatile nature of these digital assets was revealed, where profits could be suddenly affected by external events. Bitcoin, two of the cryptocurrencies with the largest presence in the market, were the subject of a thorough analysis using sound statistical methodologies. Descriptive statistics were employed to characterize the overall behavior of cryptocurrencies, including measures of central tendency, dispersion, and distribution. Additionally, normality and stationarity tests were used to choose the best variant of the GARCH model, which was EGARCH, to estimate conditional volatility, future volatility and price profitability, allowing to identify patterns and dynamics in their variability. The results of the study revealed that cryptocurrencies, while presenting attractive potential returns, also carry a high degree of volatility. However, thanks to the in-depth analysis of the behavior of these assets we can identify opportune moments to make purchases, sales or strategic investments. The main goal of this study is to provide investors with the information needed to make strategic and informed decisions about their cryptocurrency investment