지진 조기경보 시스템 고도화에 대한 지불의사금액 추정
Estimation of Willingness-to-pay for Enhanced Earthquake Early Warning System
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본 연구에서는 지진조기경보시스템(Earthquake Early Warning System, EEWS) 고도화에 대한 지불의사금액을 추정하였다. 2016년 경주, 2017년 포항에서처럼 큰 피해를 수반하는 대규모 지진이 발생하는 등우리나라도 지진 발생 피해에 대한 대비가 필요한 시점이 도래했다. 지진 발생에 대한 경보가 전달되는시간이 단축될수록 지진에 대한 대피 시간 확보에 이점이 있으므로 지진 조기경보 시스템의 활용은지진피해를 최소화를 위한 중요한 대비정책이다. 본 논문에서 조건부가치평가법(CVM)을 활용하여EEWS 고도화에 대한 지불의사 금액을 추정한 결과 지진의 경험 여부 및 답변자가 지진조기경보시스템을 유효한 지진대비책으로 생각하고 있는지 등이 지불의사액에 통계적으로 유의한 영향을 미치는 주요변수로 나타났으며, 국내 EEWS 고도화를 위한 지불의사금액 총액은 약 1조 2,000억 원 수준으로 추정되었다. 본 연구에서 추정한 EEWS 고도화에 대한 편익 규모는 지진재난의 피해 예방관련 정책 수립에있어서 중요한 정보를 제공하는데 의의가 있다고 할 수 있다.
Abstract
This study estimated the willingness to pay (WTP) to enhance an earthquake early warning system (EEWS). Korea's need to prepare for earthquake damage, such as large-scale earthquakes accompanied by significant damage that affected Gyeongju in 2016 and Pohang in 2017, has come. The faster an earthquake warning is delivered, the more advantageous it is to secure an evacuation time; thus, an EEWS is a vital preparedness policy to minimize earthquake damage. As a result of estimating the WTP for the enhanced EEWS using the contingent valuation method (CVM) in this paper, whether the respondent has experienced an earthquake and considered the EEWS an effective earthquake preparedness countermeasure statistically affects their WTP. It was a primary variable with a significant impact, and the total WTP for enhanced domestic EEWS was estimated at about KRW 1.2 trillion. The scale of benefits of enhanced EEWS evaluated in this study can provide important information in establishing policies related to earthquake disaster-related damage prevention.
참고문헌 (29)
- Allen, R. M., "Earthquake Early Warning:Advances, Scientific Challenges, Andsocietal Needs", Annual Review of Earth and Planetary Sciences, 47, pp.361~388 (2019)
- Asgary, Ali., "Willingness to Pay for Enhancing Local Emergency Preparedness Programmes : Evidences from Canada", International Journal of Emergency Management, 8(2), pp.168~181 (2012)
- Asgary, Ali., "Estimating Willingness to Pay for a Hypothetical Earthquake Early Warning Systems", Environmental Hazards, 7, pp.312~320 (2007)
- Bishop, Richard C., "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?", American Journal of Agricultural Economics, 61(5), pp.926~930 (1979)
- Brookshire, David S., "A Test of the Expected Utility Model : Evidence from Earthquake Risks", Journal of Political Economy, 93(2), pp.369~389 (1985)
- 변상규, "조건부가치측정법을 이용한 재난방송의 대국민 편익 연구", 정보통신정책연구, 21(1), pp.59~84 (2014), 정보통신정책학회
- Chung, A. I., "Improved Rapid Magnitude Estimation for a Community-Based, Low-Cost MEMS Accelerometer Network", Bulletin of the Seismological Society of America, 105(3), pp.1314~1323 (2015)
- Chung, Ji Woo, "Korean Peninsula Is No More Safety area from the Earthquake", KDI NaraGeongje (2018)
- Evans, J. R., "Performance of Several Low-Cost Accelerometers", Seismological Research Letters, 85(1), pp.147~158 (2014)
- Haab, T. C., "Valuing Environmental and Natural Resources: The Econometrics of Non-Market Valuation" (2002), Edward Elgar Publishing
- Hanemann, M., "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation", American Journal of Agricultural Economics, 73(4), pp.1255~1263 (1991)
- Kawawaki, Yasuo, "Economic Analysis of Population Migration Factors Caused By the Great East Japan Earthquake and Tsunami", Review of Urban and Regional Development Studies, 30(1), pp.44~65 (2018)
- 김아연, "Improvement Programs for Earthquake Disaster Management - Cases of Gyeongju and Pohang in Korea -", Crisisonomy, 14(8), pp.153~168 (2018), (사)위기관리이론과실천[DOI]
- Kim, S., "Earthquake Alert Device Using a Low-Cost Accelerometer and Its Services", IEEE Access, 9, pp.121964~121974 (2021)
- "Korea Institute of Geoscience and Mineral Resources(KIGAM)Website"[URL]
- "Korea Meteorological Administration Website"[URL]
- Korea Meteorological Administration, "Serve Two Masters: Immediacy and Safety by the EEWS", Press Release, ~ (2021)
- Kuyuk, H. S., "Optimal Seismic Network Density for Earthquake Early Warning : A Case Study from California", Seismological Research Letters, 84(6), pp.946~954 (2013)
- Ministry of the Interior and Safety, "Casebook: Disaster and Safety Management in Korea", ~ (2018)
- Annual Report of Disaster 2017, "Ministry of the Interior and Safety", ~ (2017)
- Annual Report of Disaster 2020, "Ministry of the Interior and Safety", ~ (2020)
- 박성경, "재해·재난 예방을 위한 저수지개보수사업의 지불의사금액 추정", 농업생명과학연구, 52(6), pp.139~153 (2018), 농업생명과학연구원[DOI]
- Paxson, Christina, "The Impact of Hurricanes on Residents and Local Labor Markets", American Economic Review : Papers & Proceedings, 98(2), pp.38~42 (2008)
- Prasanna, R., "Saving Precious Seconds : A Novel Approach to Implementing a Low-Cost Earthquake Early Warning System with Node-Level Detection and Alert Generation", Informatics, 9(1), pp.25~ (2022)
- Ruhl, C. J., "The Value of Real-Time GNSS to Earthquake Early Warning", Geophysical Research Letters, 44(16), pp.8311~8319 (2017)
- 류수열, "자연재해에 따른 사회적 비용 모형 사례연구: 백두산 화산재해에의 적용가능성 탐색", 국제정치연구, 16(2), pp.70~84 (2013), 동아시아국제정치학회
- Saunders, J. K., "Seismogeodesy Using GPS and Low-Cost MEMS Accelerometers : Perspectives for Earthquake Early Warning and Rapid Response", Bulletin of the Seismological Society of America, 106(6), pp.2469~2489 (2016)
- Wald, D. J, "Practical limitations of Earthquake Early Warning", Earthquake Spectra, 36(3), pp.1412~1447 (2020)
- Wu, Y. -M., "A High-Density Seismic Network for Earthquake Early Warning in Taiwan Based on Low Cost Sensors", Seismological Research Letters, 84(6), pp.1048~1054 (2013)
