Are renewables affecting income distribution and increasing the risk of household poverty?

Pereira, Diogo Santos; Marques, António Cardoso; Fuinhas, José Alberto

doi:10.1016/j.energy.2018.12.199

Cited by 26 publications

(9 citation statements)

References 42 publications

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“…barriers that are hampering the penetration of renewables in households. The scholars have shown in their studies that renewable energy subsidies had a positive effect on the use of renewable energy sources and the feed-in tariffs are successful in the promotion of the adoption of solar energy [43][44][45][46]. Lekavičius et al [47] claim that although funding is energy efficient, it mostly favors households with higher incomes because vulnerable households have limited investment opportunities.…”

Section: Policies To Overcome Barriers Of Renewable Energy Technologi...mentioning

confidence: 99%

Renewable Energy Acceptance by Households: Evidence from Lithuania

et al. 2022

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Although renewable energy adoption in the residential sector has increased significantly in the EU due to the governmental policies, aiming to reduce the barriers of renewable energy penetration, the full potential of renewable energy deployment in households is still not realized due to the behavioral and other barriers. One of the most important factors in the adoption of renewable energy technologies in households is the decision-making to implement renewables; therefore, the behavioral economics insights should be taken into account during the analysis of renewable energy acceptance by households. The paper provides a systematic literature review on renewable energy use in households by analyzing policies and measures, which could increase the use of renewable energy in households by overcoming the major barriers. The dynamics of renewable energy consumption in EU households was performed by applying Eurostat data, and the empirical case study was conducted in Lithuania to understand the main reasons of renewable energy acceptance by the household. Even though the use of renewable energy sources has increased significantly in the EU member states during the recent years, the study has found the following most common barriers that the traditional policies are unable to overcome: (1) high upfront cost and long pay-back period, (2) a lack of information and knowledge, (3) low priority of environmental concern, (4) resistance to change; human habits. The case study shows that the majority of Lithuanian households would like to use renewable energy technologies in their homes, but they encounter financial difficulties and lack of infrastructure. The policy recommendations were developed based on the results of the conducted study.

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Section: Policies To Overcome Barriers Of Renewable Energy Technologi...mentioning

confidence: 99%

Renewable Energy Acceptance by Households: Evidence from Lithuania

et al. 2022

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“…However, many empirical studies (Bedir et al, 2013;, which included household size as a continuous variable in their prediction models, showed that there is a positive relationship between this variable and the amount of energy consumed in the dwelling. Other factors such as age of household reference person (HRP), income, presence of children, level of education, and tenure mode, were also found to influence the variation in energy consumption (Pereira et al, 2019). However, their significance and magnitude are still inconsistent in the literature.…”

Section: The Effect Of Psychological Factorsmentioning

confidence: 99%

Big Data to support sustainable urban energy planning: The EvoEnergy project

et al. 2020

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Energy sustainability is a complex problem that needs to be tackled holistically by equally addressing other aspects such as socioeconomic to meet the strict CO 2 emission targets. This paper builds upon our previous work on the effect of household transition on residential energy consumption where we developed a 3D urban energy prediction system (EvoEnergy) using the old UK panel data survey, namely, the British household panel data survey (BHPS). In particular, the aim of the present study is to examine the validity and reliability of EvoEnergy under the new UK household longitudinal study (UKHLS) launched in 2009. To achieve this aim, the household transition and energy prediction modules of EvoEnergy have been tested under both data sets using various statistical techniques such as Chow test. The analysis of the results advised that EvoEnergy remains a reliable prediction system and had a good prediction accuracy (MAPE 5%) when compared to actual energy performance certificate data. From this premise, we recommend researchers, who are working on data-driven energy consumption forecasting, to consider merging the BHPS and UKHLS data sets. This will, in turn, enable them to capture the bigger picture of different energy phenomena such as fuel poverty; consequently, anticipate problems with policy prior to their occurrence. Finally, the paper concludes by discussing two scenarios of EvoEnergy development in relation to energy policy and decisionmaking.

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“…The impact of Distributed Generation (DG) on low-income consumers and its impact on energy poverty has been studied in various ways: there are studies about the effective way to overcome domestic energy poverty in developing regions using solar home systems [24], an Indian case also about solar home systems to reduce energy poverty [25] and there is a study questioning if the renewable 's are affecting income distribution and increasing the risk of household poverty [26]. In Brazil there is an aggravation scenario in this situation, when evaluating the history of average electric energy tariffs.…”

Section: How Distributed Generation (Dg) Can Intensify This Differencementioning

confidence: 99%

Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model

et al. 2020

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This paper presents an evaluation of public policies for fare social tariffs of electricity in Brazil by using an economic model of the electricity market (TAROT-Optimized Tariff) that represents the regulated market of distribution of electrical energy. It was considered the scenario of an increasing number of prosumers (residential consumers who self-generate energy) in two of the five major regions of Brazil which have quite different socioeconomic characteristics. However, the current electricity regulation is the same for all concessionaires. In this work a new public policy is proposed, allowing the use of regulation in a different way aiming for a best result for Brazil and particularly for the poor population that today are not able to enjoy the benefits of electricity due to high tariff values. It is also discussed how this can contribute in a positive way to improve the income distribution in these regions, which is evaluated by using the GINI index.

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Are renewables affecting income distribution and increasing the risk of household poverty?

Cited by 26 publications

References 42 publications

Renewable Energy Acceptance by Households: Evidence from Lithuania

Renewable Energy Acceptance by Households: Evidence from Lithuania

Big Data to support sustainable urban energy planning: The EvoEnergy project

Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model

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