Big Data Analysis of Public Acceptance of Nuclear Power in Korea

Roh, Seungkook

doi:10.1016/j.net.2016.12.015

Cited by 35 publications

(12 citation statements)

References 7 publications

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“…It is no coincidence that the governments of nations that operate nuclear reactors endeavor to enhance public acceptance of nuclear power. Greater acceptance enables stable power generation and the peaceful processing of nuclear waste produced from nuclear reactors [ 28 ]. According to Visschers and Siegrist [ 29 ], acceptance of nuclear power before the Fukushima accident was highly correlated with acceptance after the accident.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…In Korea, a keyword analysis of nuclear power showed that the public had positive attitudes toward nuclear power when the country successfully exported nuclear reactors to the United Arab Emirates (UAE). With the Fukushima accident in 2011 and supplier scandals in 2012, however, nuclear power’s image was degraded, and that negative image continues [ 28 ]. As mentioned, the level of acceptance of nuclear energy is used as a major dependent variable in previous studies [ 1 , 4 , 29 , 30 ].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Searching for New Directions for Energy Policy: Testing Three Causal Models of Risk Perception, Attitude, and Behavior in Nuclear Energy Context

Kim

2020

IJERPH

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Although many risk studies investigate perceptions, attitudes, and behaviors, the causal relationships among them have not yet been verified. Thus, further investigations of these relationships are necessary. This study analyzes three causal models consisting of three components: perceptions (i.e., perceived risk in this study), attitudes (i.e., satisfaction), and behavior (i.e., support for policy). This study checks these relationships in the context of nuclear energy policy. Using a hierarchical regression model, this study tests three different models between the three components: (1) Model 1 (a high-involvement model), (2) Model 2 (a low-involvement model), and (3) Model 3 (a hedonic model). First, in the high-involvement model, behavior is affected by perceptions and attitudes. In particular, attitudes mediate the relationship between risk perceptions and satisfaction. Second, in the low-involvement model, attitudes indirectly affect perceptions through behaviors. Third, in the hedonic model, behaviors affect attitudes, and risk perceptions do not mediate that relationship. This causal model does not depend on perceptions of the benefits and drawbacks of nuclear power. Our analysis shows that Model 1 is fully significant, and Model 2 and 3 are only partially significant.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Searching for New Directions for Energy Policy: Testing Three Causal Models of Risk Perception, Attitude, and Behavior in Nuclear Energy Context

Kim

2020

IJERPH

View full text Add to dashboard Cite

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“…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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“…Numerous online reviews related to products are becoming an effective data stream of user research. Accordingly, the approach that relies on small-scale data to discover the rules of unknown areas tends to be replaced with big data analysis [10]. Compared with traditional user research methods, big-data-driven methods are more efficient, cost-effective, and with wider survey scope.…”

Section: Introductionmentioning

confidence: 99%

Online User Review Analysis for Product Evaluation and Improvement

Yang

Tan

et al. 2021

JTAER

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Traditional user research methods are challenged for the decision-making in product design and improvement with the updating speed becoming faster, considering limited survey scopes, insufficient samples, and time-consuming processes. This paper proposes a novel approach to acquire useful online reviews from E-commerce platforms, build a product evaluation indicator system, and put forward improvement strategies for the product with opinion mining and sentiment analysis with online reviews. The effectiveness of the method is validated by a large number of user reviews for smartphones wherein, with the evaluation indicator system, we can accurately predict the bad review rate for the product with only 9.9% error. And improvement strategies are proposed after processing the whole approach in the case study. The approach can be applied for product evaluation and improvement, especially for the products with needs for iterative design and sailed online with plenty of user reviews.

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Big Data Analysis of Public Acceptance of Nuclear Power in Korea

Cited by 35 publications

References 7 publications

Searching for New Directions for Energy Policy: Testing Three Causal Models of Risk Perception, Attitude, and Behavior in Nuclear Energy Context

Searching for New Directions for Energy Policy: Testing Three Causal Models of Risk Perception, Attitude, and Behavior in Nuclear Energy Context

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

Online User Review Analysis for Product Evaluation and Improvement

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