Impacto de composición familiar en los niveles de pobreza de Perú

Salinas, Rodolfo J. Castro; Rivera, Renzo; Seperak, Rosa

doi:10.7770/cuhso-v27n2-art1229

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…On the other hand, US national survey data related to electronic appliances have been used to estimate the useful life of freezers, refrigerators, water heaters, boilers, heat pumps, air conditioning, among others (Lutz et al., 2011). In the case of Peru, a national survey of households was used to evaluate how poverty is causally related to possession of electronic appliances, because of the relationship of EEE ownership with remote business opportunities (Castro Salinas et al., 2017). In a specific survey of the Peruvian rural sector, increased household income was correlated with increased adoption of EEE (Meier et al., 2010).…”

Section: Methodsmentioning

confidence: 99%

Evolution of the stock of electrical and electronic equipment in the Peruvian residential sector

Gusukuma

Kahhat

Cáceres

2022

J of Industrial Ecology

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Consumption of appliances in the residential sector in Peru has been growing continuously during the last 20 years. Although social benefits due to this growth are evident, there are also some related environmental impacts in the use and end-of-life (EoL) phases (e.g., inadequate handling or disposal at the EoL stage). Nevertheless, there is also a hidden potential in the growing stock of household appliances, such as their potential exploitation as resources of industrial materials found in urban areas. Thus, the aim of this research paper is to analyze the evolution of the adoption of electronics in Peruvian households and estimate the stock of electrical and electronic equipment and related materials in the residential sector from 2001 to 2019, and greenhouse gases (GHG) emissions due to its use. Material flow analysis is the main methodology used in this research and its application relies on different strategies and the integrated use of official sources. Moreover, a Peruvian input-output table and associated environmental matrices were used to calculate GHG emissions. Results indicate that, in 2019, an average household possessed between 86 and 121 kg of appliances, which means the total stock of household appliances in Peru was in the range of 805,000 to 1,134,000 metric tons, an increase in mass of 70-95% by 2019 compared to 2001. These results will be useful to estimate the urban stock of appliances in the residential sector to help policy-makers design and implement an adequate e-waste management system that comprehends the potential of secondary materials embedded in these products. K E Y W O R D Selectrical and electronic equipment (EEE), household energy demand, e-waste, material flow analysis (MFA), resource recovery, urban mining, urban stocks INTRODUCTIONThe number of household appliances in the global residential sector has increased significantly in the last half-century. For example, while many decades ago it was unusual to see families sitting around a TV set, today it is uncommon for a household to not have at least one TV set. No doubt electrical and electronic equipment (EEE) has entered our homes to stay and change the way we live indoors. Advantages are numerous, and especially apparent during the COVID-19 pandemic. For instance, the significant progress in information, communication, and technologies (ICTs) and EEE, in general, have made the continuance of core activities possible during the pandemic, especially during lockdowns. But, undoubtedly, the change of lifestyle due to EEE adoption has also transformed the ways we interact, behave, and communicate with others (Turkle, 2017).

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Section: Methodsmentioning

confidence: 99%

Evolution of the stock of electrical and electronic equipment in the Peruvian residential sector

Gusukuma

Kahhat

Cáceres

2022

J of Industrial Ecology

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“…El sistema democrático ampara la igualdad laboral entre ambos sexos, es la empresa responsable de la remuneración y captar personal calificado, competente, para el cumplimiento de sus objetivos ante el estado de emergencia que se vive por la pandemia del Covid-19. Las mujeres logran acceder a un trabajo remunerado, sin embargo, persiste la brecha salarial ocasionando una injusta distribución remunerativa, respecto a los hombres (Castro, Rivera y Seperak, 2017).…”

Section: Los Recursos Económicosunclassified

Educación y recursos económicos en mujeres del campo en Perú / Education and economic resources in rural women in Peru

2020

RCS

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“…Variedad de estudios se han orientado a entender la dinámica familiar interna; por ejemplo destacan las investigaciones sobre satisfacción (Sobrino, 2008), comunicación (Heard, 2007), funcionamiento de pareja (Perriaux, 2011) e integración familiar (Castro, et al, 2013). Así como trabajos que han explorado la relación de la familia con variedad de aspectos externos como: el impacto de la estructura familiar en la economía (Fagan, Kitt & Potrykus, 2011) o sobre la pobreza (Castro, Rivera & Seperak, 2017), la familia y su capacidad preventiva en escenarios de pobreza (Herrera, Salinas cativo (Pliego, 2012). No obstante, son escasos los estudios en los que se hayan elaborado instrumentos que indaguen sobre la familia considerando sus diversas particularidades y tomando en cuenta el contexto de la región.…”

Section: Introductionunclassified

Confiabilidad por el método test retest del Barómetro de la Familia versión peruana

Rivera

Salinas

2021

Psicogente

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Objetivo: Determinar la confiabilidad del Barómetro de la Familia por medio del método test retest.Método: Estudio de tipo instrumental, se evaluó a 299 personas que vivían con sus parejas y/o hijos al momento de ser evaluados, el 83,6 % de la muestra fueron mujeres. El rango de edad fluctuó entre los 18 y 65 años (M=40,7 años). El Barómetro de la Familia (versión peruana) está compuesto por 98 ítems con diferentes opciones de respuesta (dicotómico, Likert, respuesta múltiple nominal y abierto de respuesta numérica) que evalúan la estructura y la dinámica familiar, además de la percepción que se tiene sobre temas relacionados a la familia como el aborto o el matrimonio. Se aplicaron los estadísticos kappa de Cohen (κ) y coeficiente de correlación intraclase (CCI).Resultados: La mayoría de reactivos que indagan sobre la estructura, dinámica familiar, violencia y conductas de riesgo son confiables (κ≥ 0,4 o CCI≥ 0,4). Por otro lado, preguntas sobre la separación, matrimonio, homosexualidad y aborto no son confiables (κ< 0,4 o CCI< 0,4).Conclusión: El cuestionario del Barómetro de la Familia demostró ser confiable en la medición de diversas características familiares en la población peruana.

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Impacto de composición familiar en los niveles de pobreza de Perú

Cited by 10 publications

References 9 publications

Evolution of the stock of electrical and electronic equipment in the Peruvian residential sector

Evolution of the stock of electrical and electronic equipment in the Peruvian residential sector

Educación y recursos económicos en mujeres del campo en Perú / Education and economic resources in rural women in Peru

Confiabilidad por el método test retest del Barómetro de la Familia versión peruana

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