2021
DOI: 10.1016/j.enpol.2020.111945
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Gap between words and actions: Empirical study on consistency of residents supporting renewable energy development in China

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Cited by 51 publications
(30 citation statements)
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“…The marginal effect values show that an increase in a respondent's age by 1 year reduces his/her high level of acceptance (strongly agree) by 0.013 and increases his/her low level of acceptance by 0.0001. This result confirms the results of [5,53], who argued that respondents' age negatively correlates with their acceptance of RE. This indicates that while older people are more risk-averse, especially if they are attached to what they accept as a norm, younger people are more inclined to take risks and tend to accept and adopt new technologies.…”
Section: Agesupporting
confidence: 90%
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“…The marginal effect values show that an increase in a respondent's age by 1 year reduces his/her high level of acceptance (strongly agree) by 0.013 and increases his/her low level of acceptance by 0.0001. This result confirms the results of [5,53], who argued that respondents' age negatively correlates with their acceptance of RE. This indicates that while older people are more risk-averse, especially if they are attached to what they accept as a norm, younger people are more inclined to take risks and tend to accept and adopt new technologies.…”
Section: Agesupporting
confidence: 90%
“…This has become even more important because the residential sector in most countries is the majority in terms of energy consumption [4]. The residential sector also plays a crucial role in promoting the development and utilization of RE [5,6]. Researchers [7][8][9] have indicated that the lower acceptance of residents relative to the development and use of RE could have a dire consequence on its approval process and deployment by governments.…”
Section: Introductionmentioning
confidence: 99%
“…The research of (Yang, Zhang, & Zhang, 2016) also shows that urbanization has a great contribution to renewable energy consumption. (Fang, Wang, & Sun, et al 2021) used the Bivariate Probit model to study that residents' attitudes also have an impact on the development of renewable energy. Finally, energy factors cannot be ignored in the development of renewable energy.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, Li (2021) [ 18 ] analyzed the key factors that influence the willingness–behavior consistency of farmers to adopt photovoltaic agriculture, and Qiu (2022) [ 19 ] explored whether there is a deviation between farmers’ willingness and behavior to adopt electricity-saving tricycles, and they both concluded that gender, age, education, planting scale, and land transfer can significantly affect the deviation between farmers’ production behavior and willingness Guo (2021) [ 9 ] took rice farmers’ willingness and behaviors regarding the application of biopesticides as the research object, and argued that farmers’ green production cognition significantly negatively affects the deviation. Academics also found that the external environment—such as government support, regional differences, and proximity to cities—can affect farmers’ green production behavior–willingness deviation [ 20 , 21 , 22 , 23 ]. Moreover, the theory of planned behavior is often used to explain the factors that influence farmer’s behaviors and willingness [ 24 ].…”
Section: Introductionmentioning
confidence: 99%