Consumer Perception and Willingness to Pay for Solar Energy: A Behavioral Analysis

Transitioning to renewable energy is essential for sustainability and mitigating climate change. This examine examines consumer notion ‎and willingness to pay for solar electricity through a stratified random sampling of 385 respondents. Statistical techniques, together with exploratory information evaluation, correlation analysis, logistic regression, and group comparisons, diagnosed key predictors of sun adoption. ‎Results show that environmental concern is the most powerful motive force (coeff = 0.2348, p = zero.013), followed by the notion of ‎carbon emission discount (coeff = 0.2128, p = 0.028). Surprisingly, government subsidies (p = zero.650) and training stage (p > 0.280) ‎no longer notably affect adoption. Lower-profits companies exhibit better hobby (coeff = 0.5279, p = 0.096), in all likelihood due to subsi-‎dy reliance. Pricing transparency is likewise critical, as receiving a solar fee quote correlates strongly with adoption (r = 0.50). These findings spotlight the need for focus campaigns, monetary accessibility, and obvious pricing strategies to boost solar adoption‎.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-08-20
DOI
https://doi.org/10.14419/ja8n6b36
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
0.00
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article

Consumer Perception and Willingness to Pay for Solar Energy: A Behavioral Analysis

Ruchika Kulshrestha, Ankur Gupta
International Journal of Basic and Applied Sciences
Environmental Sustainability in Business
article

Consumer Perception and Willingness to Pay for Solar Energy: A Behavioral Analysis

Ruchika Kulshrestha, Ankur Gupta
article en

Abstract

Transitioning to renewable energy is essential for sustainability and mitigating climate change. This examine examines consumer notion ‎and willingness to pay for solar electricity through a stratified random sampling of 385 respondents. Statistical techniques, together with exploratory information evaluation, correlation analysis, logistic regression, and group comparisons, diagnosed key predictors of sun adoption. ‎Results show that environmental concern is the most powerful motive force (coeff = 0.2348, p = zero.013), followed by the notion of ‎carbon emission discount (coeff = 0.2128, p = 0.028). Surprisingly, government subsidies (p = zero.650) and training stage (p > 0.280) ‎no longer notably affect adoption. Lower-profits companies exhibit better hobby (coeff = 0.5279, p = 0.096), in all likelihood due to subsi-‎dy reliance. Pricing transparency is likewise critical, as receiving a solar fee quote correlates strongly with adoption (r = 0.50). These findings spotlight the need for focus campaigns, monetary accessibility, and obvious pricing strategies to boost solar adoption‎.

International Journal of Basic and Applied SciencesVol. 14(4)
GLA University (IN)
Openalex Percentile: Top 72%
Environmental Sustainability in Business
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