When it is unfamiliar to me: Local acceptance of planned nuclear power plants in China in the post-fukushima era

Guo, Yue; Tao, Ren

doi:10.1016/j.enpol.2016.10.002

Cited by 74 publications

(27 citation statements)

References 60 publications

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“…In this vein, numerous studies have shown that the existence of scientific knowledge about new information technology, as well as scientists' or other experts' approval of the information technology, lowers the perceived risks and increases the perceived benefits associated with that information technology (Higgins, Stephan, & Thursby, 2011;Siegrist, 2000Siegrist, , 2008Siegrist, Stampfli, Kastenholz, & Keller, 2008;Wang & Guan, 2011). In addition, researchers have shown that such legitimate endorsement contributes to the perceived trustworthiness of new information technology (e.g., Stoutenborough & Vedlitz, 2016), which predicts its use (Guo & Ren, 2017). Dominant in this literature is the deficit model of public acceptance that assumes that most members of the public have "deficient" knowledge of new technology, while scientists or other experts possess "sufficient" knowledge (Gross, 1994;Wynne, 1991).…”

Section: Findings Suggesting the Implicit Association Of Endorsed/legmentioning

confidence: 99%

New Information Technology and Implicit Bias

Elsbach

Stigliani

2019

AMP

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In this paper, we perform a review of relatively recent empirical research that relates new information technology to biased thinking. Based on this review, we develop a framework that suggests a number of implicit associations (i.e., unconscious linkages between phenomena, such as "women are nurturing") that relate new information technology to a variety of attitudes held by both organizational decision makers and average users of such information technology (e.g., "new information technology is superior to older information technology"). Our framework proposes a set of three underlying beliefs about new information technology (that new information technology is mysterious, nonhuman, and complex) that may underlie the implicit attitudes and biased thinking we identified. These underlying beliefs suggest that biases related to new information technology are distinct, in important ways, from most interpersonal biases studied in organizations. Given these findings, we suggest an agenda for future research that may enhance our ability to understand and mitigate biases related to new information technology in organizational settings. "I'm interested in things that change the world or that affect the future and wondrous, new technology where you see it, and you're like, 'Wow, how did that even happen? How is that possible?'"-Elon Musk, inventor and founder of electric car firm Tesla 1 185 Copyright of the Academy of Management, all rights reserved. Contents may not be copied, emailed, posted to a listserv, or otherwise transmitted without the copyright holder's express written permission. Users may print, download, or email articles for individual use only.

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Section: Findings Suggesting the Implicit Association Of Endorsed/legmentioning

confidence: 99%

New Information Technology and Implicit Bias

Elsbach

Stigliani

2019

AMP

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“…To identify the determinants of the public's WTP for replacing nuclear power, it is necessary to first consider the covariates which should be included in the model. Existing studies found that a variety of psychological, emotional, and socio-demographic factors influence the acceptance of nuclear power [14][15][16][17][18][19], and we select a few covariates with reference to these studies. Table 3 summarizes the basic statistics of the covariates included in Model 2.…”

Section: Estimation Results: Public Acceptance For Reducing Nppsmentioning

confidence: 99%

“…Since 2010, related studies have been rapidly increasing and have introduced diverse perspectives on the issue. Examples include; proposing new indicators that quantify public acceptance of nuclear power [7], analyzing the impact of the Fukushima disaster on the acceptance of nuclear power [8][9][10][11], identifying public attitude on nuclear power using social media data [12], suggesting an international comparison of public acceptance of nuclear energy [13], and identifying the determinants of acceptance of nuclear power [14][15][16][17][18][19].…”

Section: Literature Reviewmentioning

confidence: 99%

Financial Feasibility and Social Acceptance for Reducing Nuclear Power Plants: A Contingent Valuation Study

et al. 2018

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Social acceptance of nuclear power has become a decisive factor in framing a sustainable energy policy. This study examines social acceptance for cancelling the construction of planned nuclear power plants (NPPs) and replacing them with other energy sources. The contingent valuation method (CVM) and cost–benefit analysis (CBA) are used to access the social acceptance and financial feasibility of such projects. Empirical analysis is based on the case of South Korea, where a similar policy is in progress under the new government. The CVM results show that a Korean household was willing to pay an additional KRW 1922.45/month (USD 1.80/month) for replacing seven 1-Gigawatt NPPs with other energy sources, which is about 3.5% of a household’s current electricity bill. The CBA suggests that the annual costs of replacing this amount of nuclear power capacity with renewables or liquefied natural gas is KRW 1291.40 billion (USD 1.21 billion) or KRW 1180.38 billion (USD 1.11 billion) larger than its benefits, which amounts to about 3% of total annual electricity generation costs in South Korea. As the additional costs of nuclear power replacement cannot be fully covered by the mean willingness-to-pay of the current acceptance level, moderate levels of social resistance are expected if all the additional costs are passed on to the end-users.

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“…China continues investing to strengthen the public trust by disclosing relevant information to the public, be transparent on their decision and conduct open discussion. 18 Although some country decided to phase out the nuclear program due to public concern, China proves that good stakeholder management program leads to success of the nuclear project. Stakeholder outreach can help to widen the body of knowledge, reduce and uncover risk, increase the project success rate, and build trust and confidence among the stakeholders.…”

Section: Ccps Published Rbpsmentioning

confidence: 99%

Stakeholder outreach on process safety for process industry using risk based approaches

Jayaraman

Shariff

Zaini

2019

Process Safety Progress

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For past decades, the industry and academician realized the core of effective process safety management (PSM) is closely related to good process safety culture. Major accidents in process industry occur at low frequency but the consequences on people, environmental, and assets damage are catastrophic. Previous accidents in process industry recorded many deaths and injuries of facility personnel and public. Hence, many regulations and best practices were introduced to avoid major accidents from occurring and to mitigate the consequences. Risk based process safety (RBPS) Guideline is one of best practices to manage PSM, using risk‐based approaches. When accidents happened, internal and external stakeholders are greatly impacted if it is not mitigated effectively. Thus, element stakeholder outreach which lies in Commit to Process Safety pillars are considered as important elements to protect the stakeholders and promoting good safety culture. This article presents a structured technique for stakeholder outreach using RBPS approaches and a work‐aid model to ease its implementation in process industry. The technique and work‐aid model are beneficial to help the organization managing stakeholders, educating the public on risk management and the importance of embracing safety culture in their life.

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When it is unfamiliar to me: Local acceptance of planned nuclear power plants in China in the post-fukushima era

Cited by 74 publications

References 60 publications

New Information Technology and Implicit Bias

New Information Technology and Implicit Bias

Financial Feasibility and Social Acceptance for Reducing Nuclear Power Plants: A Contingent Valuation Study

Stakeholder outreach on process safety for process industry using risk based approaches

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