2020
DOI: 10.1016/j.erss.2020.101670
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Invisible energy poverty? Analysing housing costs in Central and Eastern Europe

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Cited by 65 publications
(44 citation statements)
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“…This state of affairs can be attributed to the insufficient use of renewable energy sources and low social awareness of energy poverty prevention. Particulate matter, which is a measure of air pollution, is produced, among others, by the burning of solid fuels in households [73]. The complex interactions between residential energy consumption, climate change and thermal performance of buildings in Eastern Europe have been identified in studies by Urge-Vorsatz and Tirado-Herrero [74].…”
Section: Methods For Reducing Energy Poverty In Polandmentioning
confidence: 99%
“…This state of affairs can be attributed to the insufficient use of renewable energy sources and low social awareness of energy poverty prevention. Particulate matter, which is a measure of air pollution, is produced, among others, by the burning of solid fuels in households [73]. The complex interactions between residential energy consumption, climate change and thermal performance of buildings in Eastern Europe have been identified in studies by Urge-Vorsatz and Tirado-Herrero [74].…”
Section: Methods For Reducing Energy Poverty In Polandmentioning
confidence: 99%
“…Second, it can identify the leading influential factors that affect the embedded carbon emissions and rank their importance according to the estimations and the data. Therefore, it provides greater flexibility of the models [ 47 , 57 ]. By applying the LASSO models, this article is capable of further analyzing the predominant factors and identifying industrial heterogeneities in determining the export embodied carbon emissions of China.…”
Section: Methodsmentioning
confidence: 99%
“…Particularly, the objective function of the LASSO model is to find the minimum number of independent variables, which is different from other traditional regression approaches (see Equation (7)). By setting the adjustment parameter , we can achieve an acceptable level of information loss and retain only those variables which are the most valuable in the model [ 57 ]. When the distribution of the independent variables is unknown, the common methods for solving the adjustment parameters are the Cross-validation method and the Generalized Cross-validation method [ 47 ].…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, the completion of Nord Stream 2 may challenge the European Union's principles in terms of solidarity and trust [100], complicating the energy policy and management in Central and Eastern Europe and policy relations inside the Union itself. Central and Eastern European countries have an acute problem of energy poverty, in which about a fourth of the population is exposed to hidden energy shortages [101]. This is especially true in the case of Ukraine.…”
Section: Ukraine: Energy Hardshipmentioning
confidence: 99%