Exploring the factors influencing public support willingness for banning gasoline vehicle sales policy: A grounded theory approach

Liu, Yajie; Dong, Feng; Li, Guoqing; Pan, Yuling; Qin, Chang; Yang, Shanshan; Li, Jingyun

doi:10.1016/j.energy.2023.128448

Cited by 3 publications

(6 citation statements)

References 67 publications

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“…Furthermore, we randomly selected three interviewees to conduct a pre-survey, based on whose feedback we modified the preliminary interview framework. This process led to the finalization of the formal interview framework 54 .…”

Section: Methodsmentioning

confidence: 99%

“…They believe that they can obtain psychological relaxation and emotional release from it. Conversely, for individuals espousing pragmatic values, their intention was more susceptible to external influences 54 .…”

Section: Explanation Of Motivation Model For Public Intention For Spe...mentioning

confidence: 99%

“…The vastness of China has resulted in economic and cultural differences in different regions, and has also led to differences in the intention of residents in different regions to participate in spectator sports consumption. Numerous examinations have corroborated that the attributes of the municipality where consumers reside impact their behavioral designs 54 . Predicated on the inferences of the interviews, we found that urban contextual factors such as the level of development of the city, the configuration of sports facilities and the natural environment affect people’s attitudes towards spectator sports consumption.…”

Section: Explanation Of Motivation Model For Public Intention For Spe...mentioning

confidence: 99%

“…Taking external motivation as an example, when policies such as “Strong Sporting Nation” and “Healthy China” are enacted, the public pays more attention to sports in order to respond to the call of the State, which will subconsciously change their understanding of sports and motivate them to actively participate in sports consumption. External factors encompass not just contextual elements, but also critical product factors that help account for differences in consumer intention 54 . When the degree of enjoyment of sporting events meets consumers’ expectations, including perceived entertainment value, atmosphere, skill level, and economic benefit.…”

Section: Explanation Of Motivation Model For Public Intention For Spe...mentioning

confidence: 99%

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Exploring the factors influencing public intention for spectator sports consumption based on grounded theory

Wang,

Zhou,

Fan

2024

Sci Rep

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Spectator sports consumption serves as a vital component in the development of the sports industry. However, numerous challenges exist in fostering public engagement in this domain. Therefore, in order to explore the factors that influence public participation in spectator sport consumption, this study analyzes the intention to participate in spectator sports consumption from the perspective of consumers. On this basis, Semi-structured interviews were conducted with a sample of 25 members of the public, and three levels of coding were analyzed using the qualitative research method of procedural rooting theory and establish a model on the influence of public intention to participate in spectator sports consumption, and on this basis, we reveal the influence of crucial elements. The results of the study indicate that: Firstly, personal and psychological factors are significant internal drivers, while external drivers cover product and contextual factors. Secondly, the key to filling the attitudinal and behavioral gaps is the depth of perception individually, which is of great importance in increasing public participation. Thirdly, external contextual factors impacting consumer support primarily consist of external incentives, social influences, and urban contextual variables, which also serve a moderating role in the integration model. The results suggest that guiding the public to actively participate in spectator sport consumption should be based on an understanding of individual perceptions, emotions as well as attitudes. This paper develops a model examining public motivation to engage in spectator sports locally in China, pinpoints the primary influencing factors and mechanisms, and presents novel concepts for the sustainable growth of the sports sector.

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Section: Methodsmentioning

confidence: 99%

Section: Explanation Of Motivation Model For Public Intention For Spe...mentioning

confidence: 99%

Section: Explanation Of Motivation Model For Public Intention For Spe...mentioning

confidence: 99%

Section: Explanation Of Motivation Model For Public Intention For Spe...mentioning

confidence: 99%

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Exploring the factors influencing public intention for spectator sports consumption based on grounded theory

Wang,

Zhou,

Fan

2024

Sci Rep

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“…So far, there have been some effective evaluations of public support in the literature. For instance, Liu et al [5] clarified the core influencing factors and mechanisms by analyzing the public's support for the banning gasoline vehicles sales policy (BGVSP). Yao et al [6] confirmed that the deficit model and the response model could be used to study the public's support towards environmentally friendly initiatives.…”

Section: Introductionmentioning

confidence: 99%

Research on the Public’s Support for Emergency Infrastructure Projects Based on K-Nearest Neighbors Machine Learning Algorithm

Cui,

Cao,

Shao

et al. 2023

Buildings

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The public’s support for emergency infrastructure projects, which will affect the government’s credibility, social stability, and development, is very important. However, there are few systematic research findings on public support for emergency infrastructure projects. In order to explore the factors influencing the public’s support and the degree of influence of each factor on the public’s support, this paper employs K-Nearest Neighbors (KNN), a learning curve with m-fold cross-validation, grid search, and random forest to study the public’s support for emergency infrastructure projects and its influencing factors. In this paper, a prediction model of the public’s support for emergency infrastructure projects is developed based on KNN from data drawn from a questionnaire survey of 445 local residents concerning Wuhan Leishenshan Hospital, China. Two optimization algorithms, the learning curve with m-fold cross-validation and the grid search algorithm, are proposed to optimize the key parameters of the KNN predictive model. Additionally, quantitative analysis is conducted by using the random forest algorithm to assess the importance of various factors influencing public support. The results show that the prediction accuracy and model stability of the KNN prediction model based on the grid search algorithm are better than those using a learning curve with m-fold cross-validation. Furthermore, the random forest algorithm quantitative analysis shows that the most important factor influencing the public’s support is government attention. The conclusions drawn from this paper provide a theoretical reference and practical guidance for decision making and the sustainable development of emergency infrastructure projects in China.

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Farmers' land use adaptation under tourism on the Qinghai-Tibet plateau: based on the 'motivation-behaviour' framework

Peng,

Zhou,

et al. 2024

Environ Dev Sustain

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Exploring the factors influencing public support willingness for banning gasoline vehicle sales policy: A grounded theory approach

Cited by 3 publications

References 67 publications

Exploring the factors influencing public intention for spectator sports consumption based on grounded theory

Exploring the factors influencing public intention for spectator sports consumption based on grounded theory

Research on the Public’s Support for Emergency Infrastructure Projects Based on K-Nearest Neighbors Machine Learning Algorithm

Farmers' land use adaptation under tourism on the Qinghai-Tibet plateau: based on the 'motivation-behaviour' framework

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