Browse > Article
http://dx.doi.org/10.5532/KJAFM.2017.19.3.195

Cost-benefit Analysis of a Farmstead-specific Early Warning Service for Agrometeorological Disaster Risk Management  

Shim, Kyo-Moon (National Institute of Agricultural Sciences, RDA)
Jeong, Hak-Kyun (Korea Rural Economic Institute)
Lim, Young-Ah (Korea Rural Economic Institute)
Shin, Yong-Soon (R&D Center, EPINET CO., Ltd.)
Kim, Yong-Seok (National Institute of Agricultural Sciences, RDA)
Choi, In-tae (National Institute of Agricultural Sciences, RDA)
Jung, Myung-Pyo (National Institute of Agricultural Sciences, RDA)
Kim, Hojung (National Institute of Agricultural Sciences, RDA)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.19, no.3, 2017 , pp. 195-202 More about this Journal
Abstract
This study aims to suggest the basics for the implementation of the farmstead-specific early warning system (FEWS) for weather risk management nationwide. A survey by questionnaire was conducted to examine farmer's response, and a cost-benefit analysis was made to examine the effect of the FEWS on the economy. The farmers who volunteered to participate in this survey responded that they were generally satisfied with the FEWS, and that they used it well for farming. Willingness to pay (WTP) for the early warning service was estimated to be 8,833 KRW per month by survey respondents. If the early warning service is extended to nationwide and 50% of farmers use it for six months, then the ratio of benefit to cost will be 2.2, indicating that nationwide expansion of the FEWS is very feasible.
Keywords
Cost-benefit analysis; Early warning system; Farm; Survey; Weather risk management;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 IPCC, 2011: Special report on managing the risks of extreme events and disasters to advance climate change adaptation, New York, Cambridge University Press, 582pp.
2 Jeong, H. K., Y. A. Lim, H. J. Lee, and C. G. Kim, 2016: Current status of climate-smart agriculture and policy directions (ISBN: 978-89-6013-968-8 93520), Korea Rural Economic Institute, 184pp. (In Korean)
3 Shim, K. M., Y. S. Kim, M. P. Jung, I. T. Choi, H. Kim, and K. K. Kang, 2017: Implementation of agrometeorological early warning system for weather risk management in South Korea. Journal of Climate Change Research 8(2), 171-175.   DOI
4 UNISDR, 2017: Sendai Framework for Disaster Risk Reduction 2015-2030, 35pp. (Available through the UNISDR Website at the following weblink: http://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf)
5 WMO, 2010: Guidelines on Early Warning Systems and Application of Nowcasting and Warning Operations. PWS-21, WMO / TD No. 1559, 22pp. (Available through the WMO Website at the following weblink: http://www.wmo.int/pages/prog/amp/pwsp/documents/PWS-21.pdf)
6 Yun J. I., S. O. Kim, J. H. Kim, and D. J. Kim, 2013: User-specific agrometeorological service to local farming community: A case study. Korean Journal of Agricultural and Forest Meteorology 15(4), 320-331. (in Korean with English abstract)   DOI
7 Yun J. I., S. O. Kim, K. M. Shim, and Y. S. Shin, 2015: A field-specific service for agrometeorological hazards early warning (ISBN 979-11-954603-0-493520), Korean Society of Agricultural and Forest Meteorology, 155pp. (In Korean)