Journal
JOURNAL OF CLEANER PRODUCTION
Volume 427, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2023.139216
Keywords
Contingent valuation method; Geographically weighted regression model; Renewable electricity; Willingness to pay; Spatial heterogeneity
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China is experiencing an increased demand for renewable electricity due to energy shortage and emission reduction targets. Chinese residents are willing to pay a higher price for renewable electricity, with a focus on its immediate impacts on personal well-being and quality of life. Factors such as economic status, education background, air quality, health concerns, and environmental crisis awareness significantly influence residents' willingness to pay. Different regions show varying sensitivities to these factors.
The current state in China is characterised by an increased demand for renewable electricity due to energy shortage and emission reduction targets. This study utilises the contingent valuation method (CVM) to investigate provincial residents' willingness to pay (WTP) for renewable electricity and employs the geographically weighted regression (GWR) model to analyse the spatial heterogeneity of influencing factors. The average WTP for renewable electricity among Chinese residents is 0.85 yuan/kWh, surpassing the current electricity price of 0.5 yuan/kWh. Reducing air pollution and the occurrence of haze is prioritised by residents (66.89%), followed by saving fossil energy and avoiding energy crises (10.09%), and reducing carbon emission and mitigating climate change (22.04%). Chinese residents pay more attention to the immediate impacts of renewable elec-tricity on personal well-being and quality of life. Factors such as economic status, education background, air quality, health concerns, and environmental crisis awareness significantly influence WTP, with spatial disparities further compounding these effects. Sensitivity to economic level and air quality was observed in the southeast, while the southwest showed sensitivity to air quality, and the northwest exhibited sensitivity to environmental awareness. These findings suggest that residents' adoption of renewable electricity could partially alleviate China's funding gap in this sector. Recognising the factors that shape WTP provides a strategic pathway to enhance residents' financial support for renewable electricity initiatives.
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