When I was your age: Generational effects on long-run residential energy consumption in Italy

Bardazzi, Rossella; Pazienza, Maria Grazia

doi:10.1016/j.erss.2020.101611

Cited by 37 publications

(16 citation statements)

References 61 publications

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“…Firstly, as mentioned by the homeowners, the uncertainty about their own lifespan makes them feel that the retrofit is not worthwhile, because they are not sure how long they can continue living in the retrofitted homes. The second reason is the differences in the view of consumption among generations, which influence has been discussed by researchers in many countries as well as in China [55]. The second reason is the change in economic system.…”

Section: Discussionmentioning

confidence: 99%

Homeowners’ Willingness to Make Investment in Energy Efficiency Retrofit of Residential Buildings in China and Its Influencing Factors

Huang

Song

2021

Energies

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In China, energy efficiency retrofit of residential buildings is entering a new stage in which homeowners are the main subject. In order to investigate homeowners’ willingness to invest and to analyze its influencing factors, interviews and a questionnaire survey were conducted in central Tianjin, China. The results show that homeowners have a certain willingness to invest in energy efficiency retrofit but that their willingness to pay (WTP) is far from enough to cover the total cost. Among the influencing factors, the homeowner’s age, education level, and retrofit experience as well as the age and floor area of their home are significantly related to their WTP. The reasons for the impact of these factors are further discussed, including the influences of China’s previous housing policies and retrofit policies. Policy recommendations to promote investment by homeowners are suggested based on the findings.

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Section: Discussionmentioning

confidence: 99%

Homeowners’ Willingness to Make Investment in Energy Efficiency Retrofit of Residential Buildings in China and Its Influencing Factors

Huang

Song

2021

Energies

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“…The number of studies investigating residential demand for electricity with highly disaggregated household data is relatively limited (e.g. Nesbakken 1999 ; Bardazzi and Pazienza 2020 ) mainly due to non-availability of the necessary data.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Silva et al ( 2017 , 2018 ) also investigated residential demand for electricity in Portugal using 350 cohorts over the period 1989–2010. More recently, Bardazzi and Pazienza ( 2020 ) built a pseudo-panel of Italian households over the period 1997–2016 and estimated cohort and age effects on long-run residential demand for electricity and natural gas. Finally, Belaïd et al ( 2021 ) estimated the income elasticity of demand for electricity in the housing sector in France, using pseudo-panels taken from three independent microdata national housing surveys.…”

Section: Literature Reviewmentioning

confidence: 99%

Residential demand for electricity: empirical evidence from Greece using pseudo-panels

Kostakis

Lolos

2021

Energ. Ecol. Environ.

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This study investigates the behaviour of residential demand for electricity, employing a pseudo-panel methodology. The case of Greece, over the period 2009–2018, is taken as an example for our empirical investigation. The empirical analysis uses annual household panel data for the construction of 330 cohorts. The specification of cohorts is based on the date of birth, education level and geographical location of the head of the household. The econometric analysis is carried out using static and dynamic specifications and a quantile regression model. The results show that residential demand for electricity is price and income inelastic, both in the short and the long run. Electricity and heating oil appear to be complementary energy sources, while the household size and the education level are important determinants of residential demand for electricity. Income status has a marginal effect on demand for electricity, and the impact of urbanisation is insignificant. The quantile regression results show that, as the level of electricity use increases, demand for electricity becomes less income responsive and more price responsive. Our results show that a mix of structural energy measures along with economic policies could result in a decrease in electricity use and improve energy efficiency.

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“…This process is even more intense in the Brazilian rural areas, due to the urbanization phenomenon association. With the interest to refine the understanding of residential electricity consumption growth, in recent years, the literature has been introducing population age and demographic processes in the analyses (BARDAZZI;PAZIENZIA, 2020;ESTIRI;ZAGHENI, 2019;LIDDLE, 2013;DEUTSCH;TIMPE, 2013;LEON, 2012LEON, , 2015BROUNEN;KOK;QUIGLEY, 2012;TONN;EISENBERG, 2006;O'NEIL;CHEN, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…Bardazzi and Pazienzia (2020) found that the intensity of electricity use by technology and its availability lead the generations to increase the electricity consumption, including the elderly. However, the studies are convergent in the aspect of that consumption growth is controlled by income, climate, and physical characteristics of the household, and also, varying throughout the phases of life (BARDAZZI;PAZIENZIA, 2020;ESTIRI;ZAGHENI, 2019;BROUNEN;KOK;QUIGLEY, 2012;LUNG;2010;O'NEIL;; CHEN, 2002). Estiri and Zagheni (2019) investigated residential electricity consumption in the United States considering population cohorts.…”

Section: Introductionmentioning

confidence: 99%

What has driven the growth of Brazil´s residential electricity consumption during the last 19 years? An index decomposition analysis

Abrahão

Souza

2021

Ambient. constr.

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Residential electricity consumption in Brazil has been growing during the last few decades, creating a potential opportunity to expand energy efficiency measures. However, the dimension of the sector and its closed relationship with the economic, cultural, and demographic processes causes a certain complexity in the understanding of patterns of consumption, creating additional challenges to energy policies. This study analyzed and decomposed the Brazilian residential electricity consumption between the years of 2000 and 2018, by driving factors through the LMDI-I method and IDA index, on regional level. All the data were obtained by official sources in the country. The main results obtained were: (i) the increase of household numbers was found to be one of the main drivers of consumption growth; (ii) household income showed no control over consumption in hot climate regions, except in low- income households; (iii) tariff showed to impose restrictions on consumption, also mainly in low-income households. Unprecedentedly, the results showed that the electricity consumption in Brazil varies with population age, with a trend of consumption growth up to the age 59, and a sharp reduction from the age of 60. The study presents opportunities to be contemplated in research and in energy policies.

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When I was your age: Generational effects on long-run residential energy consumption in Italy

Cited by 37 publications

References 61 publications

Homeowners’ Willingness to Make Investment in Energy Efficiency Retrofit of Residential Buildings in China and Its Influencing Factors

Homeowners’ Willingness to Make Investment in Energy Efficiency Retrofit of Residential Buildings in China and Its Influencing Factors

Residential demand for electricity: empirical evidence from Greece using pseudo-panels

What has driven the growth of Brazil´s residential electricity consumption during the last 19 years? An index decomposition analysis

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