Heterogeneity in German Residential Electricity Consumption: A quantile regression approach

Sommer, Stephan; Vance, Colin

doi:10.1016/j.enpol.2019.03.045

Cited by 45 publications

(19 citation statements)

References 20 publications

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“…There is a growing consensus among the researcher that in studies with a small sample size the bootstrap method would offer more reliable findings and there has been an increase in studies that employ this method (Chernozhukov, Fernández-Val, & Kowalski, 2015;Frondel, Sommer, & Vance, 2019;Graham, Hahn, Poirier, & Powell, 2015;Koenker &Hallock, 2001 andLeeds, 2014). However, it should be noted that the bootstrap method is not a panacea to solve all the problems associated with small sample research.…”

Section: Methodsmentioning

confidence: 99%

Does financial development influence fertility rate in South Asian economies? An empirical insight

2020

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The purpose of this paper is to empirically investigate the effect of financial development on fertility rate along with other major indicators in select South Asian economies over the period 1990-2016. The study uses various statistical techniques such as Johansen-Fisher panel co-integration approaches are employed to examine the long-run relationship among the variables and for statistically quantile regression is employed. The study finds that the variables under consideration are found to be cointegrated, that is, they are found to be having a long-term relationship. By using three different measures of financial sector development, it is also observed that financial sector development has invariably led to a declining fertility rate in the south Asian region during the study period.

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Section: Methodsmentioning

confidence: 99%

Does financial development influence fertility rate in South Asian economies? An empirical insight

2020

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“…For example, Zhang and Lin studied the relationship between electricity price and residential electricity consumption, and then found that electricity price was a key factor affecting residential electricity consumption [4]. Different scholars have adopted several methods to explore factors affecting residential electricity consumption, of which the econometric method is the most widely used [5]. Meanwhile, some scholars have adopted other methods to explore the factors affecting residential electricity consumption.…”

Section: Introductionmentioning

confidence: 99%

Nexus between residential electricity consumption and household characteristics: heterogeneous urban and rural panel evidences from North China

Liang

et al. 2021

E3S Web Conf.

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With the growth of residential electricity consumption and the development of power energy conservation, exploring the factors that affect residential electricity consumption is of great significance for promoting the sustainable development of the regional economy-power system. This paper examines the influencing factors of residential electricity consumption according to the data in 6 provinces in North China over 2008-2018, and two panels named urban panel and rural panel are constructed. Three conventional influencing factors are selected in this paper, namely, population (POP), per capita disposable income (DI) and per capita consumption expenditure (PCCE). Furthermore, considering that household characteristics have an impact on residential electricity consumption, this paper adds the number of household appliances (HA) and the per capita housing area (LS) into the factor set. Heterogeneous panel analysis techniques are applied to achieve the analysis, finding that household characteristics have significant impacts on electricity consumption of urban and rural residents, and the impact on electricity consumption of urban residents is greater than that on rural residents. Based on the empirical results, this paper puts forward several policy recommendations to effectively improve the residential electricity consumption and reduce the gap between urban and rural residential electricity consumption.

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“…The dynamic economic development in the world has made a direct contribution to increasing energy demand [3], and in the past years, the relation between energy consumption and economic variables has been observed by economists and policymakers [4]. Besides that, there is a broad consensus on the need for political actions and an intense debate on mitigation measures of such changes to mitigate the effects of climate change [5]. The undeniable need to reduce greenhouse gas emissions and the transition to cleaner electricity generation has led to an unavoidable requirement for new regulations and mechanisms to promote the growth of renewable energy [6].…”

Section: Introductionmentioning

confidence: 99%

Factors for Measuring Photovoltaic Adoption from the Perspective of Operators

et al. 2020

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The diffusion of photovoltaic distributed generation is relevant for addressing the political, economic, and environmental issues in the electricity sector. However, the proliferation of distributed generation brings new administrative and operational challenges for the sustainability of electric power utilities. Electricity distributors operate in economies of scale, and the high photovoltaic penetration means that these companies have economic and financial impacts, in addition to influencing the migration of other consumers. Thus, this paper aims to systematically identify and evaluate critical factors and indicators that may influence electricity distributors in predicting their consumers' adoption of photovoltaic technology, which were subjected to the analysis of 20 industry experts. Results show that the cost of electricity, generation capacity, and cost of the photovoltaic systems are the most relevant indicators, and it is possible to measure a considerable part of them using the internal data of the electricity distributors. The study contributes to the understanding of the critical factors for the forecast of the adoption of consumers to distributed photovoltaic generation, to assist the distribution network operators in the decision making, and the distribution sustainability. Also, it establishes the theoretical, political, and practical implications for the Brazilian scenario and developing countries.

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Heterogeneity in German Residential Electricity Consumption: A quantile regression approach

Cited by 45 publications

References 20 publications

Does financial development influence fertility rate in South Asian economies? An empirical insight

Does financial development influence fertility rate in South Asian economies? An empirical insight

Nexus between residential electricity consumption and household characteristics: heterogeneous urban and rural panel evidences from North China

Factors for Measuring Photovoltaic Adoption from the Perspective of Operators

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