Abstract
Extreme weather events which have been changed scale, period, and frequency due to climate change is causing unexpected damage globally. Prompt and accurate forecasting is required to mitigate damage, and so many foreign countries are researching improve observation systems development & uses, and prediction model development. National Institute of Meteorological Sciences (NIMS) part of Korea Meteorological Administration (KMA) is progressing research of improving several forecasting services which KMA is providing. This study tried to estimate non-market benefits of main studies of NIMS which is making uses of observation systems and accuracy of prediction model better.
A survey of 1,000 randomly selected households was undertaken in Korea to investigate benefit of 5 attributes such as NIMS Atmospheric Research Aircraft (NARA), Mobile Observation VEhicle (MOVE), Asian Dust Aerosol Model version 3 (ADAM3), Regional ocean wave prediction system, Global Seasonal Forecasting Model (GloSea5). The study employs a nested logit model and the results reveal that the marginal willingness to pay (MWTP) for each attributes are significant at the 5% level. Estimated MWTP results of 1 hour extension of NARA uses, 1%p increasing of MOVE uses, 1%p improvement of three different prediction model which are ADAM3, Regional ocean wave prediction model, and GloSEA5 are KRW 34, 31, 48, 18, 17 per household pre year, respectively. Information from this study will be useful in planning and policy making.
A survey of 1,000 randomly selected households was undertaken in Korea to investigate benefit of 5 attributes such as NIMS Atmospheric Research Aircraft (NARA), Mobile Observation VEhicle (MOVE), Asian Dust Aerosol Model version 3 (ADAM3), Regional ocean wave prediction system, Global Seasonal Forecasting Model (GloSea5). The study employs a nested logit model and the results reveal that the marginal willingness to pay (MWTP) for each attributes are significant at the 5% level. Estimated MWTP results of 1 hour extension of NARA uses, 1%p increasing of MOVE uses, 1%p improvement of three different prediction model which are ADAM3, Regional ocean wave prediction model, and GloSEA5 are KRW 34, 31, 48, 18, 17 per household pre year, respectively. Information from this study will be useful in planning and policy making.
| Translated title of the contribution | Measuring the Economic Value of Improving Observation Systems Use and Prediction Model Accuracy_Conjoint Analysis |
|---|---|
| Original language | Korean |
| Pages (from-to) | 301-320 |
| Number of pages | 20 |
| Journal | 한국혁신학회지 |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2020 |