Características de la pobreza energética en México: un enfoque desagregado
Energy in dwellings is a driver for human development, however, sometimes households find it difficult to access and afford basic energy services. This study presents a bottom-up approach to energy poverty and its features for the Mexican case. The aim is to describe the energy demand profile in Mex...
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| Main Authors: | , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://dialnet.unirioja.es/servlet/oaiart?codigo=7992835 |
| Source: | Revista legislativa de estudios sociales y de opinión pública, Vol. 14, Nº. 30, 2021, pags. 77-116 |
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| Summary: |
Energy in dwellings is a driver for human development, however, sometimes households find it difficult to access and afford basic energy services. This study presents a bottom-up approach to energy poverty and its features for the Mexican case. The aim is to describe the energy demand profile in Mexican households and gauge the monetary implications. The study constructs a bottom-up model using conditional probabilities to determine the electricity load profile incorporating climatic, economic and behavioural data. The results are related to seasonally adjusted prices and income in households to gauge the weight of energy expenditure. Attending to the heterogeneity in the country, we model 48 household prototypes, featured by economic stratum, dwelling size and geographic location. The results glimpse four main findings: 1) ventilation, kitchen and washing appliances drive daily demand, among them the importance of ventilation appliances stands out; 2) the price per unit of energy is lower in high-income households, where the efficiency of the sources used plays a fundamental factor; 3) high-income households spend a higher percentage of their income on energy than low-income households, and 4) is the low income per capita and not the energy requirements, the biggest threat to fall under the poverty line. To promote greater transparency, reproducibility and quality, the model is available online. The dataset, the processing codes, formulas and results can be verified and reused |
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