TY - JOUR
T1 - The public value of improving a weather forecasting system in Korea
T2 - a choice experiment study
AU - Park, Sun Young
AU - Yoo, Seung Hoon
N1 - Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/3/22
Y1 - 2018/3/22
N2 - The Korean government plans to improve the quality of its weather forecasting system in order to increase its public utility. The benefits arising from the implementation of this plan should be measured. To this end, this study applies a choice experiment to four attributes: the update frequency of both short- and medium-range forecasts, and the accuracy of both. A survey of 1000 randomly selected households was undertaken in Korea. In the study results, the marginal willingness-to-pays, respectively, for one more update of the short-range forecast per day, for a 1% increase in the accuracy of the short-range forecast, for changing the update frequency of the medium-range forecast from once a day (reference level) to twice a day, and for a 1% increase in the accuracy of the medium-range forecast as a result of improving the weather forecast service were estimated to be KRW 499.3 (USD 0.45), 108.3 (0.10), 346.5 (0.31), and 80.9 (0.07) per household per month. The findings can provide policy-makers with useful information for both evaluating and planning improvements in the weather forecasting system.
AB - The Korean government plans to improve the quality of its weather forecasting system in order to increase its public utility. The benefits arising from the implementation of this plan should be measured. To this end, this study applies a choice experiment to four attributes: the update frequency of both short- and medium-range forecasts, and the accuracy of both. A survey of 1000 randomly selected households was undertaken in Korea. In the study results, the marginal willingness-to-pays, respectively, for one more update of the short-range forecast per day, for a 1% increase in the accuracy of the short-range forecast, for changing the update frequency of the medium-range forecast from once a day (reference level) to twice a day, and for a 1% increase in the accuracy of the medium-range forecast as a result of improving the weather forecast service were estimated to be KRW 499.3 (USD 0.45), 108.3 (0.10), 346.5 (0.31), and 80.9 (0.07) per household per month. The findings can provide policy-makers with useful information for both evaluating and planning improvements in the weather forecasting system.
KW - choice experiment
KW - multinomial logit model
KW - Weather forecast service
KW - willingness to pay
UR - http://www.scopus.com/inward/record.url?scp=85028801657&partnerID=8YFLogxK
U2 - 10.1080/00036846.2017.1368995
DO - 10.1080/00036846.2017.1368995
M3 - Article
AN - SCOPUS:85028801657
SN - 0003-6846
VL - 50
SP - 1644
EP - 1658
JO - Applied Economics
JF - Applied Economics
IS - 14
ER -