Analyzing German consumers’ willingness to pay for green electricity tariff attributes: a discrete choice experiment

Danne, Michael; Meier-Sauthoff, Saramena; Mußhoff, Oliver

doi:10.1186/s13705-021-00291-8

Cited by 25 publications

(13 citation statements)

References 61 publications

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“…But environmental concern and innovativeness were found to be having an insignificant relationship with household intention (Lan et al , 2021). Also, Danne et al (2021) concluded that consumers’ decision related to green energy adoption is significantly influenced by the source of energy, switching process and attitude towards renewable energy. The results of Issock et al (2020) indicated that customer trust is influenced by the perception of quality and price of energy efficiency technology/products.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Thomas et al (2021) concluded that adoption decision is significantly affected by compatibility energy requirements; the cost of technology plays a significant role in adoption. There are a few other studies conducted on technical aspects, such as PV panel performance in different weathers conditions, and willingness to pay a premium for technically superior solar technologies (Bhardwaj et al , 2019; D’Alpaos and Bragolusi, 2021; Danne et al , 2021; Bright et al , 2017) .…”

Section: Introductionmentioning

confidence: 99%

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Solar rooftop adoption among Indian households: a structural equation modeling analysis

Kumar

Kaushik

2022

JSOCM

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Purpose This study aims to examine factors influencing purchase intentions of households toward solar rooftops, using diffusion of innovation theory. Design/methodology/approach Six dimensions from the diffusion of innovation theory have been contemplated to assess households’ purchase intentions toward solar rooftops. Primary data was collected from 863 respondents by using a purposive sampling technique from different parts of India. The study used structural equation modeling analysis to examine the data. Findings Results confirmed that the dimensions, namely, relative advantage, compatibility, complexity, innovations and observability, positively influence households’ purchase intentions of solar rooftops, except for the trialability dimension. Research limitations/implications Data for the study is based on a purposive sampling technique that restricts the representation of the whole population. There may be variance in public perception from place to place due to demographic and psychographic differences. Practical implications The present study would facilitate devising a roadmap to improve the quality of the environment. Policy planners, researchers and professionals would find the implications of this study helpful in developing critical strategies. Originality/value The research practically explores households’ intention to purchase solar rooftops by filling the gap in previous literature. Findings of the study can equip firms with several advantages. Through the present study, one gets to know that developed and developing economies have similar energy usage issues. Further, it empirically examines the applicability of diffusion of innovation theory in the solar rooftops context.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Solar rooftop adoption among Indian households: a structural equation modeling analysis

Kumar

Kaushik

2022

JSOCM

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“…They can be used to understand the past and present status, predict the future and support the decision making. -Internet of Things, an emerging technology that uses sensors, actuators, and communication technologies to measure and transmit data for fast and optimal decision making [24]. Energy smart meters, sensors, actuators, and sensor networks are key elements at the microenergy/household level.…”

Section: Enabling Technologiesmentioning

confidence: 99%

“…During the implementation and adaptation, ILECs must deal with technological, socio-economic, environmental, and institutional issues that can act either encouraging on such systems establishment and growth or limiting in favor of centralized systems [4]. Within the eNeuron project, 24 main key issues have been identified, among technological, socioeconomic, environmental, and institutional ones, as reported in Table V [22][23][24][25][26].…”

Section: Key Issuesmentioning

confidence: 99%

Enabling conditions for the deployment of integrated local energy communities in Europe

Caliano¹,

Buonanno²,

Somma³

et al. 2023

Preprint

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<p>The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of integrated local energy communities (ILECs) in Europe, performed within the project. The enabling conditions are addressed by defining the key actors and their interests in the implementation of an energy community at local level and through a detailed mapping of the enabling and emerging energy and information and communication technologies at both household and community levels. Special focus is also on mapping of the demand-side flexibility technologies to understand the benefits of local flexibility and impacts on the larger systems. In such analysis, the key issues for implementation and adaptation of this new energy paradigm are investigated through covering technological, socio-economic, environmental, and regulatory aspects. </p> <p>Paper accepted at 2022 Workshop on Blockchain for Renewables Integration (BLORIN) - DOI: <a href="https://doi.org/10.1109/BLORIN54731.2022.10028420" target="_blank">10.1109/BLORIN54731.2022.10028420</a></p>

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“…Discrete choice experiment (DCE) has emerged as a popular quantitative research method to study individuals' preferences for a variety of sustainabilityand energy-related technologies, services and policy measures, including contributions in this journal [33][34][35]. The basic idea of the method is that instead of revealing preferences through empirical observations, researchers have individuals' explicitly state their preferences regarding a set of predefined options.…”

Section: Discrete Choice Experiments In Energy Researchmentioning

confidence: 99%

Bridging the Gap: An Empirical Approach to Studying the Social Sustainability of Future Energy Systems

Schmidt-Scheele

Hauser

Scheel

et al. 2021

Preprint

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Background: Given the multitude of scenarios on the future of our energy systems, multi-criteria assessments are increasingly called for to analyze and anticipate long-term effects of possible pathways with regards to their environmental, economic and social sustainability. While economic and ecologic indicators are covered through energy systems modelling and life cycle sustainability assessments, approaches to the social sustainability of future energy systems remain methodologically under-developed. Previous studies have either focused only on the social acceptance of single energy technologies or used expert-based environmental and economic indicators with social implications. Approach and results: We argue that in order to gather empirical insights on the social sustainability of future energy systems and to integrate it in multi-criteria assessments, citizens’ preferences and values need to be more systematically analyzed while informing their decisions more transparently with full life cycle data. Given the lack of theoretical underpinnings of sustainability and of empirical insights into citizens’ perceptions of sustainability with respect to future energy systems, we further argue that an explorative research design is needed. Therefore, next to six focus groups, we conducted a discrete choice experiment. The method is currently becoming more popular to analyze individuals’ preference structures for energy technologies or investments. As we show in our paper, it can be fruitfully applied to study the values and trade-offs of citizens with regards to sustainability issues. Our combined empirical methods provide two main insights with strong implications for the future development and assessment of energy pathways: While environmental and climate-related effects significantly influenced citizens’ preferences for or against certain energy pathways, total systems and production costs were of far less importance to citizens than the public discourse suggests. Conclusions: Our findings are contrary to the focus of many scenario studies that seek to optimize pathways according to total systems costs. The role of fairness and distributional justice in transition processes featured as a dominant theme in all focus groups. This adds central dimensions for future multi-criteria assessments that, so far, have been neglected by current energy systems models.

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Analyzing German consumers’ willingness to pay for green electricity tariff attributes: a discrete choice experiment

Cited by 25 publications

References 61 publications

Solar rooftop adoption among Indian households: a structural equation modeling analysis

Solar rooftop adoption among Indian households: a structural equation modeling analysis

Enabling conditions for the deployment of integrated local energy communities in Europe

Bridging the Gap: An Empirical Approach to Studying the Social Sustainability of Future Energy Systems

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