Willingness to pay for green electricity derived from renewable energy sources in Nigeria

Ayodele, T.R.; Ogunjuyigbe, A.S.O.; Ajayi, Oluwaseun Damilola; Yusuff, Adedayo A.; Mosetlhe, Thapelo C.

doi:10.1016/j.rser.2021.111279

Cited by 42 publications

(25 citation statements)

References 34 publications

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“…Some researchers have investigated the spatial and temporal spillovers of renewable energy systems using aggregated data, such as Islam et al (2022), Sun and Sankar (2022), Eshchanov et al (2021). Ayodele et al (2021) and Kooij et al (2018) have conducted household surveys that use microdata to apply renewable energy power systems. The micro-approach can reveal the driving forces behind household investment decisions in renewable energy systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Factors Impact the Decision to Invest in Rooftop Solar Power in Vietnam

Than

Bui

Kien

et al. 2022

IJEEP

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Renewable energy is one of the alternative solutions for today's increasingly depleted energy sources. Solar energy and rooftop solar systems are new developments in many countries, including Vietnam. However, the investment in rooftop solar systems has not yet been implemented uniformly in Vietnam. This article uses the interview survey method by questionnaire to evaluate the factors affecting the investment in rooftop solar systems in some provinces in Vietnam. The research results show that most factors positively impact the intention to invest in rooftop solar systems. The authors will make some policy suggestions from the research results to increase investment in rooftop solar systems in Vietnam and towards environmentally sustainable development.

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Section: Literature Reviewmentioning

confidence: 99%

Investigating the Factors Impact the Decision to Invest in Rooftop Solar Power in Vietnam

Than

Bui

Kien

et al. 2022

IJEEP

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“…With such numerous renewable energy sources, the nation can satisfy 100% of its present and future energy demands if they are properly exploited. However, Nigeria is a developing nation that is not well-known for its renewable energy support, due to various difficulties and hurdles, including economic, regulatory, technical, and social constraints [24]. Nigeria's economy cannot bear such a load.…”

Section: Introductionmentioning

confidence: 99%

A Multidimensional Model of Sustainable Renewable Energy Linking Purchase Intentions, Attitude and User Behavior in Nigeria

et al. 2021

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This study investigates the challenges to Nigeria’s renewable energy growth; specifically, it analyzes the factors that influence the intention to use renewable energy in Nigeria. This paper was based on the theory of planned behavior, the technology acceptance model, the unified theory of acceptance and use of technology, the diffusion of innovation theory, and previous studies on acceptance. The proposed hypotheses have been tested using structured questionnaires based on a sample of 500 Nigerian family heads. A structural equation modeling technique was used to analyze the relationships of the studied variables—relative advantage, ease of use, perceived behavioral control, subjective norm, awareness, cost, attitude, income, gender, age, and education—with purchase intention. The study findings show that attitude has a significant mediating effect on the relationship between intention to use and determinants (relative advantage, subjective norm, perceived behavioral control, ease of use, cost and awareness) and no significant impact on the purchase intention of the control variables (income, education, age, and gender) in the structural model. The study’s results support business decisions in the renewable energy sub-sector in Nigeria and other developing nations. Furthermore, the results of this study could serve as a reference for the government to make decisions concerning the implementation of renewable energy.

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“…CVM has been the most frequently used method for measuring WTP for green electricity, with the open-ended and dichotomous choice being the most popular elicitation technique [3]. CVM has been implemented to measure WTP for green electricity in various countries, such as Nigeria [4], China [5][6][7], Poland [8], Germany [9,10], and the USA [11]. The research in Nigeria used the open-ended elicitation technique and found that the WTP is influenced by income, age, marital status, and education level [4].…”

Section: Introductionmentioning

confidence: 99%

“…CVM has been implemented to measure WTP for green electricity in various countries, such as Nigeria [4], China [5][6][7], Poland [8], Germany [9,10], and the USA [11]. The research in Nigeria used the open-ended elicitation technique and found that the WTP is influenced by income, age, marital status, and education level [4]. The study in China also found significant WTP values, which are affected by income, belief towards the government, history of respiratory disease, gender, and age [7], income, rate of neighbor's approval, and environmental concerns [5].…”

Section: Introductionmentioning

confidence: 99%

“…The study in USA specifically compared stated-preference and revealed-preference methods in measuring the willingness to pay voluntary premiums for using green electricity [11] and also found that the WTP increases with the consumers' perception of the environmental effect of energy. Those studies used two different ways to express the WTP: monthly charge [7,8] and price per kWh [4,9]. Dichotomous (Yes/No) choice is the most popular elicitation method in CVM studies [12].…”

Section: Introductionmentioning

confidence: 99%

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Willingness to pay for green electricity: evidence from a contingent valuation survey in Indonesia

Pratikto

Rikardo²

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The Government of Indonesia has set a target of 23% renewables in the national energy mix by 2025. Until August 2021, the achievement in the electricity sector was only 12.77%. The low electricity selling price and lack of incentives for renewable electricity investment are considered the main obstacle to attaining that goal. This research addresses the first issue by measuring the consumer’s willingness to pay (WTP) for greener electricity. We use the contingent valuation method (CVM) with dichotomous choice with follow-ups (DCF) elicitation technique. The CVM questionnaire asks if residential consumers are willing to pay a specific price for electricity with 50% renewables. Data from 520 respondents were collected through an online survey targeting non-subsidized households in Java, the main island of Indonesia. We used the survival analysis to analyze the data by assuming a lognormal distribution and came up with the electricity price-response function, which shows that 80% of respondents are willing to pay up to 13% higher than the current price. We also found that the WTP increases with the electrical capacity, where households with an electrical capacity of greater than 2,200VA are willing to pay 17% higher than those with an electrical capacity of up to 2,200VA.

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Willingness to pay for green electricity derived from renewable energy sources in Nigeria

Cited by 42 publications

References 34 publications

Investigating the Factors Impact the Decision to Invest in Rooftop Solar Power in Vietnam

Investigating the Factors Impact the Decision to Invest in Rooftop Solar Power in Vietnam

A Multidimensional Model of Sustainable Renewable Energy Linking Purchase Intentions, Attitude and User Behavior in Nigeria

Willingness to pay for green electricity: evidence from a contingent valuation survey in Indonesia

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