Privation of energy services in Mexican households: An alternative measure of energy poverty

Ochoa, Rigoberto García; Graizbord, Boris

doi:10.1016/j.erss.2016.04.014

Cited by 61 publications

(28 citation statements)

References 28 publications

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“…The five Universities that have done the most investigation regarding energy poverty are University of London, University of Manchester, Columbia University, University of Sussex and National University of Singapore, which three are located in England, and one in USA and other in Singapore. In Mexico, Colegio de la Frontera Norte and Colegio de México, are the two main institutions working on energy poverty [11,20], other institutions that have done work in that regard are Instituto Mora, Tecnológico Nacional de México, Universidad Autónoma de Nuevo León and Universidad Nacional Autónoma de México. Whilst in Latin America, Central University of Ecuador recently worked identifying energy poverty in that country [21].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Viewed from a different perspective, energy poverty is recognized as a form of energy injustice, which takes place on the final stage of the energy system, where the persons benefit from energy use [10]. In addition, some authors see energy poverty as a problem of social justice, because it implies the deprivation of services needed to satisfy human needs [11].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Energy Poverty in 7 Latin American Countries Using Multidimensional Energy Poverty Index

2020

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Energy poverty is a serious problem affecting many people in the world. To address it and alleviate it, the first action is to identify and measure the intensity of the population living in this condition. This paper seeks to generate information regarding the actual state of energy poverty by answering the research question: is it possible to measure the intensity of energy poverty between different Latin American countries with sufficient and equivalent data? To achieve this, the Multidimensional Energy Poverty Index (MEPI), proposed by Nussbaumer et al., was used. The results present two levels of lack of access to energy services: Energy Poverty (EP) and Extreme Energy Poverty (EEP). The last one, is a concept introduced by the authors to evaluate energy poverty using MEPI. Results of people living on EP (EEP within parentheses) are as follow: Colombia 29% (18%), Dominican Republic 32% (14%), Guatemala 76% (61%), Haiti 98% (91%), Honduras 72% (59%), Mexico 30% (17%) and Peru 65% (42%). A clear correlation between the Human Development Index (HDI) and MEPI is displayed, however some countries have relatively high values for the HDI, but do not perform so well in the MEPI and vice versa. Further investigation is needed.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Energy Poverty in 7 Latin American Countries Using Multidimensional Energy Poverty Index

2020

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“…In 2016, García Ochoa and Graizbord (2016a) proposed the method "Meeting of Absolute Energy Needs" (MAEN) as a metric of energy poverty in households, and Mexico was taken as a case study, where it was identified that ∼43% of Mexican households were classified under the condition of energy poverty. This method is based on the fact that, when people do not satisfy their absolute energy needs, which are related to a series of satisfiers and economic goods that are considered essential in a certain place and time, they present the condition of energy poverty.…”

Section: Energy Poverty In Latin Americamentioning

confidence: 99%

Capturing Multidimensional Energy Poverty in South America: A Comparative Study of Argentina, Brazil, Uruguay, and Paraguay

Pereira

Gonzalez

Ríos

2021

Front. Sustain. Cities

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Roughly 789 million people have no access to energy, and around 2.8 billion people lack access to clean cooking solutions according to the World Bank, and so we also find many people that cannot afford energy (reliable and clean) at the current prices. In the literature, accessibility, availability, and affordability are underlined as the key drivers of energy poverty. In South America, these aspects have not been studied in depth. This research is relevant because it provides a standardized, cross-country, and comparable analysis of multidimensional energy poverty in the region. The study of energy poverty is critical for the development and well-being of countries, especially in regions such as South America, where this issue can be affected by geographical, cultural, infrastructure, and/or socio-economic differences. In this study, we measured the magnitude of energy poverty in Argentina, Brazil, Uruguay, and Paraguay. This methodology is based on the analysis of energy poverty through a multidimensional approach, considering three parameters as drivers of energy poverty in the countries: accessibility, availability, and affordability. Through a two-step process, first, we calculate the Weighted Average Energy Poverty Index (WAEPI), based on three proposed scenarios (W1, W2, and W3), and finally, through the Composite Energy Poverty Index (CEPI), we measure the existing gaps, based on the selected indicators, between the countries under study and the benchmark country. Additionally, we decided to focus our analysis on the country that has shown the highest level and gaps on multidimensional energy poverty in the region, as a case study to validate the results obtained through the chosen methodology. The results show that during the period of analysis (2000–2016), Paraguay has been the most energy-poor country among the countries under study, while Argentina has been the least energy-poor country. At the local level, we observed that, Paraguay, despite being one of the largest producers and exporters of clean hydroelectric energy in the region, still presents high levels of consumption of biomass or coal for cooking, while electricity only represents 17% of the total final energy consumption in the country (biomass and fossil fuels account for 83%). These results could lead the design of energy policies, projects, and programs to reduce the multidimensional energy poverty, nationally, also at the common platform: MERCOSUR. Finally, this study includes an analysis of policy implications and alternative solutions to eradicate energy poverty in the region.

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“…Within the last decade, scholars have introduced the HSDA framework in the context of environmental sustainability and shown its potential to contributing toward sustainable development (Cruz et al 2009;Jolibert et al 2011;Guillen-Royo 2016García Ochoa and Graizbord 2016;Lamb and Steinberger 2017;Vita et al 2019;Kaltenborn et al 2020).…”

Section: Hsda Links Needs With Sustainabilitymentioning

confidence: 99%

Testing the quality of transformative science methods: the example of the Human Scale Development approach

Spiering

Barrera

2021

Sustain Sci

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Scholars and funding bodies alike are increasingly calling for transformative research that delivers socially robust and impact-oriented outcomes. This paper argues that the Human Scale Development approach (HSDA) introduced by Max-Neef and colleagues in Latin America during the 1980s can serve as a method for transformative science (TSc). HSDA is both a theory and a participatory methodology and thus contributes toward fulfilling the objectives of TSc, which are scientific, practical and educational. In this paper, we begin by explicating how the fundamental human needs (FHN) approach of the HSDA can support scholars and practitioners alike in addressing complex sustainability challenges. We then refer to the methodological adaptations to the original proposal that we have previously developed to illustrate how Max-Neef's methodological approach might be further extended and to demonstrate how these changes can strengthen HSDA and make it even more useful for generating knowledge needed in sustainability transformations. To inform and support research that builds on the co-production of knowledge, we test HSDA with regard to TSc quality criteria and show how it adds value to the existing canon of TSc methods. To this end, we develop an analytical framework that can be deployed to assess the quality of TSc methods.

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Privation of energy services in Mexican households: An alternative measure of energy poverty

Cited by 61 publications

References 28 publications

Analysis of Energy Poverty in 7 Latin American Countries Using Multidimensional Energy Poverty Index

Analysis of Energy Poverty in 7 Latin American Countries Using Multidimensional Energy Poverty Index

Capturing Multidimensional Energy Poverty in South America: A Comparative Study of Argentina, Brazil, Uruguay, and Paraguay

Testing the quality of transformative science methods: the example of the Human Scale Development approach

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