Abstract

With the adoption of new technologies, more risk is introduced into modern society. Important decisions about new technologies tend to be made by specialists, which can lead to a mismatch of risk perception between citizens and specialists, resulting in high social cost. Using contingent valuation methods, this paper analyzes the relationship between willingness to pay (WTP) and the factors expressed through people’s image of nuclear power plants (NPP), their perception of NPP safety, and how these can be affected by their scientific background level. Results indicate that groups with a high scientific background level tend to have low risk perception level, represented through their image and safety levels. Further, the results show that mean WTP is dependent on scientific background and image levels. It is believed that these results could help decision makers address the mismatch of trust between the public and specialists in terms of new policy.

Highlights

  • Society becomes more complex as new technologies are invented and interact with each other [1]

  • Safety level, and scientific background level were selected as the factors, with survey data analyzed by the contingent valuation method (CVM)-double-bounded dichotomous choice (DBDC) model and processed by statistical software

  • The people who have more scientific background knowledge tended to have a good image about nuclear power plants (NPP) and thought that they are safe

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Summary

Introduction

Society becomes more complex as new technologies are invented and interact with each other [1]. Public opinion for constructing new nuclear power plants (NPP) is divided into approval and disapproval, and in situations like this there will be a substantial waste of time and money without public consensus about the issue [3, 4]. Studies about these controversies are conducted in various fields such as health communication, environmental issues, and products and services [5]. These differences can be calibrated by a model with large sample sizes

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