How do incentives influence local public support for the siting of shale gas projects in China?

Yu, Zhishui; Clark, Ashley; Rupp, John A.; Graham, John D.

doi:10.1080/13669877.2019.1569096

Cited by 3 publications

(6 citation statements)

References 54 publications

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“…This might be because most of the SGE activities in FSGF are located in remote areas [ 10 ], which makes the residents have a moderate level of knowledge. At the same time, the residents have to depend on the information given by experts and regulators, and a limited number of information sources are also expected to increase trust in scientists and authorities [ 13 ].…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

“…In the Chinese context, empirical studies found that residents rely mainly on the information given by experts and regulators who are highly in favor of developing shale resources as a heuristic or alternative foundation for their opinions [ 13 , 14 ]. Various studies have highlighted the differences in trust levels between central and local governments [ 43 ], but we found a similarity between residents’ trust in the central government and the scientists related to SGE during the pre-survey.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…In the UK and the US, the mass media included many posts on both the pros and cons of SGE [ 4 ]. However, Chinese outlets mainly focus on reporting SGE’s various benefits, such as satisfying the domestic clean energy demand and promoting economic development [ 13 ]. Previous studies found that the positive and vigorous SGE propaganda in China helped develop a positive view of SGE among the public and foster community pride [ 10 , 15 ].…”

Section: Survey Design and Datamentioning

confidence: 99%

“…Along with several incentive policies in the ensuing years, the country has seen a steady ramp-up in yearly shale gas output, has become the world’s third-largest shale gas producer after the US and Canada, and currently seeks to achieve the ambitious production target of 30 billion cubic meters (bcm) by 2020 and 80–100 bcm by 2030. However, numerous challenges, including local opposition and the “not in my backyard” syndrome, have slowed the progress of China’s shale projects [ 9 , 13 ]. Thus, residents’ acceptance of SGE has been a critical factor for China to achieve the ambitious production goals.…”

Section: Introductionmentioning

confidence: 99%

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The Psychological Process of Residents’ Acceptance of Local Shale Gas Exploitation in China

Yao

Sui

Liu

et al. 2020

IJERPH

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Local communities and their opinion on shale gas exploitation (SGE) play an essential role in the implementation of energy policies, while little is known about the reasoning process underpinning the acceptance of SGE. The present study develops a conceptual framework to examine the psychological process of residents’ acceptance of local SGE, in which the impacts of trust, knowledge, and fairness are mediated by risk and benefit perceptions. Structural equation modeling has been applied to analyze the hypothesized relationships based on a dataset of 825 households in China’s largest shale gas field. Our results indicate that residents’ perceived fairness and trust positively affect their benefit perceptions and negatively affect their risk perceptions, which results in positive influences on acceptance, and knowledge of SGE’s environmental impacts positively affects perceived risks, which results in a negative influence on acceptance. Moreover, residents’ acceptance is primarily determined by their benefit perception, followed by perceived fairness, and knowledge is the least important determinant. Thus, our study contributes to the literature by exploring the structural relationships between various psychological predictors and the acceptance toward SGE, and the results from our empirical survey provide insight into designing appropriate strategies in the process of generating and communicating shale policies.

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Section: Data Analysis and Resultsmentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Survey Design and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Psychological Process of Residents’ Acceptance of Local Shale Gas Exploitation in China

Yao

Sui

Liu

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…The different expected objective functions were incorporated, which led to the existence of uncertainty in the modeling approach. Interested researchers can find recent publications on shale gas development and future research scope in Chen et al [24], Knee and Masker [25], Lan et al [26], Ren et al [27], Zhang et al [28], Denham et al [29], Al-Aboosi and El-Halwagi [30], Jin et al [31], Ren and Zhang [32], and Wang et al [33].…”

Section: Introductionmentioning

confidence: 99%

Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty

2019

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Shale gas energy is the most prominent and dominating source of power across the globe. The processes for the extraction of shale gas from shale rocks are very complex. In this study, a multiobjective optimization framework is presented for an overall water management system that includes the allocation of freshwater for hydraulic fracturing and optimal management of the resulting wastewater with different techniques. The generated wastewater from the shale fracking process contains highly toxic chemicals. The optimal control of a massive amount of contaminated water is quite a challenging task. Therefore, an on-site treatment plant, underground disposal facility, and treatment plant with expansion capacity were designed to overcome environmental issues. A multiobjective trade-off between socio-economic and environmental concerns was established under a set of conflicting constraints. A solution method—the neutrosophic goal programming approach—is suggested, inspired by independent, neutral/indeterminacy thoughts of the decision-maker(s). A theoretical computational study is presented to show the validity and applicability of the proposed multiobjective shale gas water management optimization model and solution procedure. The obtained results and conclusions, along with the significant contributions, are discussed in the context of shale gas supply chain planning policies over different time horizons.

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Where will China's shale gas industry go? A scenario analysis of socio-technical transition

Wei

Zhao

Liu

et al. 2022

Energy Strategy Reviews

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How do incentives influence local public support for the siting of shale gas projects in China?

Abstract: have higher income, and perceive themselves as living close to a project. This research sheds light on how incentives might help contribute to resolution of siting controversies or prevent the onset of such controversies.

Cited by 3 publications

References 54 publications

The Psychological Process of Residents’ Acceptance of Local Shale Gas Exploitation in China

The Psychological Process of Residents’ Acceptance of Local Shale Gas Exploitation in China

Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty

Where will China's shale gas industry go? A scenario analysis of socio-technical transition

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