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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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중국의 재난위험 정보유통에 관한 사례 연구

Case Study on the Distribution of Disaster Risk Information in China

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2016, v.14 no.4, pp.55-66
https://doi.org/https://doi.org/10.15722/jds.14.4.201604.55
최충익 (Department of Public Administration, Kangwon National University)
이성 (Department of Public Administration, Kangwon National University)
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Abstract

Purpose - This article aims to explore the characteristics of disaster risk distribution information in China. Also, this research attempts to analyze the findings of risk communication using case study in chronological order in terms of social amplification of risk. To achieve the purpose, the paper reviews the trends and issues of risk communication in China, with an emphasis on examining earthquakes by a chronological approach. In these regards, we hope that some relevant findings from this empirical study with cases will be able to enhance national risk communication and provide implications in Korea as well. Research design, data, and methodology - The conceptual framework of this study is theoretically based on the risk amplification model, which describes signals about risk transmitted and processed by individuals and social groups. The social amplification of risk also reflects the interactions of social groups about disaster-related risk issues, which are potential amplifiers or attenuators of communication signals. The key concept of social amplification implies that the risks pertaining to natural disasters interact with social, psychological, institutional, and cultural processes in ways that can affect public perceptions of risk. SMCRE Model is methodologically employed to examine risk communication history of China with the focus on natural disaster. Four earthquakes are selected to figure out the chronological characteristics of risk communication since 1970s. He bei Tang Shan earthquake is selected as an example disaster before 1990's, while the earthquake in Yun Nan Jiang is explored for the case study of 1990's. The earthquake in Si Chuan Wen Chuan is also examined as a example disaster of 2000's. The recent earthquake in Si Chuan Ya An Lu Shan is selected as a case of 2010s. Results - SMCRE model in this case study is operationally defined as a methodology and applied to the four earthquakes occurred in China. SMCRE model describes the exchange of risk information and is also applied to all forms of communication between stake holders. Each factor of risk communication includes source, message, channel, receiver and effect. It is notable that a big progress has been made on disaster risk communication in China for the past 40 years. We also found that highly developed information technology has enabled Chinese society to better cope with natural disaster, leading to enhanced disaster risk communication. It is mainly found from case study that the disaster risk communication of China has been involved with political situation, which derived from the change of government for the past 40 years. Conclusion - From this historical research, it can be inferred that the policies and politics of Chinese leaders have had a more critical role to play in the process of source of risk communication than those of any other countries. The results of this paper also support that the effective risk communication involves not only the improved reliability of local government as a key factor of disaster risk communication, but also is accompanied by international cooperation for substantial collaboration with stake holders.

keywords
Risk Communication, Distribution of Disaster Risk Information, Social Amplification of Risk, Earthquake, China

참고문헌

1.

Bai, Xin-Wen, REN, Xiao-Peng, ZHENG, Rui, & LI, Shu (2009). Psychological Harmony of Residents in Wen Chuan Earthquake Stricken Areas and Their Relationship with Government Satisfaction. Advances in Psychological Science, 17(3), 574-578.

2.

Bier, V. M. (2001). On the state of the art: Risk communication to the public. Reliability Engineering & System Safety, 71(2), 151-157.

3.

Chen, Qi-Fu, & Wang, Ke-Linn (2010). Wen Chuan Earthquake in 2008 and Earthquake Prediction in China. World Earthquake Series. 5, 34-54.

4.

Chen, Ju-Hong (2004). The Study of Educational Revolution in Fu Jian During the Cultural Revolution. Fuzhou, China:Master's thesis in Fu Jian Normal University.

5.

China Earthquake Data Center (1966-1999). Earthquake Cases in China. Beijing: Seismological Press.

6.

Cho, Seong-Kyung (2012). A Study on Schema Types of Energy Mix Stakeholders: Risk Perception for Nuclear Energy and Communication. Seoul, Korea: Thesis for Doctorate in Korea University.

7.

Choi, Choong-Ik (2015). A Discourse on the Paradigm Shift of National Risk Management in Risk Society. Journal of the Korean Cadastre Information Association, 17(2), 37-45.

8.

Covello, V, von Winterfeldt, D., & Slovic, P. (1986). Risk communication:A review of the literature, Risk Abstracts. 2, 171-182.

9.

Deng, Tao (2009). A Review of The Classic Report of the Tang shan Earthquake. Literature education. 1, 108-109.

10.

He, Yong-Song (2011). Reconstruction of the Trust Relationship Between Citizens and Local Governments. Xi'an, China:Master's thesis in Shan Xi Normal university.

11.

Im, Ui-Yeong (2003). Special Issue Title : Publicness, Concept, Crisis, and the Conditions of Activation. Journal of Governmental Studier. 9(1), 23-52.

12.

Jing, Ming, & Ma, Dan-Chen (2013). The Change and Thinking of China's Media to the Earthquake Disaster Report from the Wen Chuan Earthquake to The Lu Shan Earthquake. News and Writing, 6, 23-26.

13.

Ji, Nan (2013). Comparison of Lu Shan Earthquake and Wen Chuan Earthquake Media Coverage. Youth Journalist, 23, 42-43.

14.

Keeney. Ralph L., & Winterfeldt, Detlop von (1986). Improving risk communication, Risk Analysis, 6(4), 417-424.

15.

Kim, Tae-Jin, Lee, Jae-Eun, Kim, Young-Pyon, & Jung, Yun-Su (2005). The Groping of Korean Governance Paradigm:Technology and Governance 1-Cognition Analysis for Social Risks of Nuclear Power. Proceedings of the Korean Association for Public Administration, 7, 1-26.

16.

Ko, Se-Hoo (2014). Publicness-Concept, History, Issue. Hwang Hae Review, 8, 27.

17.

Kwon, Ho-Young (2007). A Study on Managerial State of Disaster Management System & Plan of Improvement. Seoul, Korea: Thesis for Doctorate in Hankuk University of Foreign Studies.

18.

Lee, Jung-Chun (1996). A Study on Modern Society's Risk and Issue of Riskreports. Korean Society for Journalism &Communication Studies, 37, 62-91.

19.

Li, LI-Qing (1999). Reflection and Enlightenment after Li Jiang Ms 7.0 Earthquake. Si Chuan Earthquake, 3, 42-45.

20.

Luhmann, A. (1991). Communication et Action. Réseaux, 9. 131-156.

21.

Luo, Chuan (2013). Smartphones Changing China. Chinese Media Technology, 3 .

22.

Luo, Hong (2008). Discussion on Disaster Reporting and Public Crisis Management. The 8th New Century News Public Opinion Supervision Seminar. 472-474.

23.

Mileti, D. S., & Fitzpartrick, C. (1991). Communication of Public Risk: Its Theory and its Application. Sociological Practice Review, 2(1), 20-28.

24.

National Bureau of Statistics of China. (1996-2015). China Statistical Yearbook. Beijing: China Statistics Press.

25.

Oh, Mi-Yeong (2005). Communication Strategy for Building Social Consensus of Nuclear Power. Nuclear Industry, 2, 58-70.

26.

Park, Cheon-Il, Kim, Heung-Gyu, Kang, Hyung-Cheol, & An, Min-Ho (2012). Communication theories : origins, methods, and uses in the mass media. Seoul: Nanam.

27.

Peters, Hans Peter (2001). Risk Communication. (Song, Hae-Ryong, Trans.). Seoul: Communication Books.

28.

Renn, O. (1991). Risk communication and the social amplification of risk, In Communicating Risks to the Public:International Perspectives. Dordrecht, Netherlands:Kluwer.

29.

Sandman, P. (1988). Telling Reporters about Risk. Civil Engineering, 58(8), 36-38.

30.

Sheng, Zhong-Na (2009). A Study on The Change of China's Disaster Report. Zheng Zhou, China: Master's thesis in Zheng Zhou University.

31.

Slovic, P. (1997). Trust, Emotion, Sex, Politics and Science:Surveying the Risk-assessment Battelfield. In the M. Bazerman, D. Messick, A. Tenbrunsel, & K., Wade-Benzoni (eds.), Environment, Ethics and Behavior. San Francisco: New Lexington Press.

32.

Soh, Young-Jin (2000). Institutionalization of Risk Communication : Focused on the Nuclear Technology. Social science review, 39(2), 27-63.

33.

Song, Hae-Ryong, Cho, Hang-Min, Lee, Yoon-kyung, & Kim, Won-Je (2012). A Study on the Conceptualization, Structural Analysis and Domain Establishment of Risk Communication. Dispute Resolution, 10(1), 65-100.

34.

Song, Yu-Bing (2010). Media Landscape Change and the Way of Traditional Newspapers. Journal of Jiamusi Education Institute, 97(1), 24-25.

35.

Tang, Min (2004). On the Authenticity of Network News. Wuhan, China: Master's thesis in Wuhan University.

36.

Xi, Yi-Ran (2013). The Change Trend of Media Information Management in China. The News Research Guide, 6, 49-51.

37.

Yan, Zhang-Hui (2012). Research on Chinese Self-adaptive Disaster Managemeng Syetem. Journal of Public Administration, 4, 173-177.

38.

Yang, Fan (2000). The Theory of Chinese Political Development in The 90 Years. Journal of Yun Nan Administration College. Political Science Research, 2, 9-13.

39.

Zhang, Guo-Min (2005). Retrospect and Prospect the Earthquake Prediction. International Earthquake Dynamic, 5, 39-53.

40.

Zhang, Hong-You., & Li, Huai-Ying (1996). General Situation of Yun Nan Li Jiang Ms 7 Earthquake in February 3, 1996. International Earthquake Dynamic, 4, 22-26.

41.

Zhang, Li (2009). The Function and Role of Network Media in Public Emergency: A Case Study of Wen Chuan Earthquake. Xia Men, China: Master's thesis in XiaMen University.

42.

Zou, Yu-Gen, & Jiang, Shu (2010). The Challenge and Reconstruction of Chinese Local government's Trust:Research Status and Prospect of Local Government Trust in China's Academic Circles. Social Science Research, 5, 41-46.

The Journal of Distribution Science(JDS)