The Economic Value of the National Meteorological Service in the Korean Household Sector: A Contingent Valuation Study

The meteorological service (MS) in Korea is provided by the Korea Meteorological Administration (KMA), a governmental organization. This study attempts to measure the economic value of the national MS in the Korean household sector. Economic theory indicates that the economic value of a service is the area under the demand curve, which is the sum of the actual expenditure and the additional willingness to pay (WTP) for the service. The actual expenditure is well known, but the additional WTP is not. Thus, we assess the additional WTP for the national MS, conducting a contingent valuation survey of 1000 randomly selected households in Korea in 2014. We use a one-and-one-half-bound dichotomous choice question to derive the WTP responses and apply a spike model to deal with WTP responses of zero. The mean additional WTP per household is computed as KRW 860 (USD 0.75) per month and is statistically significant at the 1% level. Given that the monthly expenditure for the MS is KRW 1459 (USD 1.26) per household as of 2013, the economic value of the national MS is computed as KRW 2319 (USD 2.01) per household per month. Expanding the value to the national population gives us KRW 513.6 billion (USD 444.9 million) per year.

[1]  Seung-Hoon Yoo,et al.  The economic value of LNG in the Korean manufacturing industry , 2013 .

[2]  Richard T. Carson,et al.  Incentive and informational properties of preference questions , 2007 .

[3]  Jeffrey K. Lazo,et al.  Valuing Improved Hurricane Forecasts , 2010 .

[4]  Ma Belén Gómez Martín,et al.  Weather, climate and tourism: a geographical perspective. , 2005 .

[5]  K. McConnell.  Models for referendum data: The structure of discrete choice models for contingent valuation , 1990 .

[6]  S. Yoo,et al.  Using a spike model to deal with zero response data from double bounded dichotomous choice contingent valuation surveys , 2002 .

[7]  W. Michael Hanemann,et al.  Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation , 1991 .

[8]  J. Zillman,et al.  Economic benefits of meteorological services , 2002 .

[9]  N. Kozak,et al.  An Analysis of Cities Based on Tourism Supply and Climatic Conditions in Turkey , 2008 .

[10]  W. Michael Hanemann,et al.  Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses , 1984 .

[11]  Consumer's Surplus Without Apology: Reply , 1979 .

[12]  Sun Young Park,et al.  The conservation value of the Shinan Tidal Flat in Korea: a contingent valuation study , 2013 .

[13]  Guizhi Wang,et al.  Valuation of Haze Management and Prevention Using the Contingent Valuation Method with the Sure Independence Screening Algorithm , 2016 .

[14]  B. Abegg,et al.  Rain, Rain, Go Away, Come Again Another Day. Weather Preferences of Summer Tourists in Mountain Environments , 2016 .

[15]  Yan Fang,et al.  National Assessment of Climate Resources for Tourism Seasonality in China Using the Tourism Climate Index , 2015 .

[16]  I. Krinsky,et al.  On Approximating the Statistical Properties of Elasticities , 1986 .

[17]  Daniel McFadden,et al.  Contingent Valuation and Social Choice , 1994 .

[18]  L. García-Menéndez,et al.  Meeting the environmental challenge of port growth: A critical appraisal of the contingent valuation method and an application to Valencia Port, Spain , 2012 .

[19]  Seung-Hoon Yoo,et al.  The Economic Value of Residential Natural Gas Consumption: The Case of Korea , 2013 .

[20]  W. Gough,et al.  The Effect of Seasonal Climatic Anomalies on Zoo Visitation in Toronto (Canada) and the Implications for Projected Climate Change , 2016 .

[21]  S. Yoo,et al.  Economic Value of Water in the Korean Manufacturing Industry , 2011, Water Resources Management.

[22]  D. Perkins,et al.  Weather and Tourism: Thermal Comfort and Zoological Park Visitor Attendance , 2016 .

[23]  Ian J. Bateman,et al.  Bound and path effects in double and triple bounded dichotomous choice contingent valuation , 2001 .

[24]  B. Kriström.  Spike Models in Contingent Valuation , 1997 .

[25]  K. Rollins,et al.  Using willingness‐to‐pay to assess the economic value of weather forecasts for multiple commercial sectors , 2003 .

[26]  Trudy Ann Cameron,et al.  Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys , 1987 .

[27]  Xrin –Xe,et al.  DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration , 2017 .

[28]  S. Gössling,et al.  “It Was Raining All the Time!”: Ex Post Tourist Weather Perceptions , 2016 .

[29]  Min-Kyu Lee,et al.  Public's willingness to pay for a marina port in Korea: A contingent valuation study , 2016 .

[30]  D. Scott,et al.  Weather and Climate Information for Tourism , 2010 .

[31]  Andrew H. Mizrahi,et al.  What is the value of hazardous weather forecasts? Evidence from a survey of backcountry skiers , 2010 .

[32]  S. Yoo,et al.  The demand function for residential heat through district heating system and its consumption benefits in Korea , 2016 .

[33]  M. Hanemann,et al.  One-and-One-Half-Bound Dichotomous Choice Contingent Valuation , 2001, Review of Economics and Statistics.

[34]  C. R. de Freitas,et al.  Role of Acclimatization in Weather-Related Human Mortality During the Transition Seasons of Autumn and Spring in a Thermally Extreme Mid-Latitude Continental Climate , 2015, International journal of environmental research and public health.

[35]  S. Dufour.  I: Commerce , 2001, Canadian Yearbook of international Law/Annuaire canadien de droit international.