특별호 에너지경제연구 Korean Energy Economic Review Volume 17, Number 1, March 2018 : pp. 287~316 지역분산형녹색전력구매제도입에대한 소비자선호도분석 1) - 287 -

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~ - 290 -

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< 표 1> 녹색전력구매제의속성과수준 - 297 -

[ 그림 1] 신재생에너지원별정의및장 단점 - 298 -

[ 그림 2] 녹색전력구매제가입시제공되는혜택의종류와내용 - 299 -

[ 그림 3] 녹색전력구매제설문선택집합예시 - 300 -

~ ~ ~ - 301 -

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exp P r exp - 303 -

β β P L = ò Lni( b ) g( b db ni ) ni = C S [ s= 1 å j exp( b ' xnis) exp( b ' x njs ] ) U njs = bnsxnjs + unjs bns ~ N ( m, s b ) u njs 2 p ~ x(0, ) 6-304 -

태양광 풍력 연료전지 - 305 -

< 표 2> 패널로짓모형추정결과 - 306 -

< 표 3> 패널조건부로짓고정효과에의한속성별지불용의액 ( 원 / 월 ) - 307 -

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< 표 4> 혼합로짓을이용한추정결과 - 309 -

< 표 5> 패널로짓모형과혼합로짓모형에서추정한지불용의액비교 - 310 -

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접수일 (2017 년 12 월 20 일 ), 게재확정일 (2018 년 2 월 19 일 ) - 312 -

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ABSTRACT This paper analyzes which attributes improve participation rate of green electricity purchase program by using a choice experiment approach. Main attributes include new and renewable energy sources (solar, wind, fuelcell, and bio), distance from residence, job creation, proportion of green electricity, and incentive options (tax credit, green mileage, eco-labelling, and free visit of new&renewable theme park). According to panel logit and mixed logit model estimation, participation rates increase with fuelcell followed by solar, and wind, and vicinity of power plants as well as more job creation increase participation rates. Proportion of green electricity has inverted U shaped curve with participation rate, and tax credit affects participation rates the most significantly. Preference heterogeneity based on mixed logit results exists the most for solar, followed by wind, and fuelcell, while green mileage has more heterogeneity than tax credit. Government should consider the outcomes revealed by this study when the green electricity purchase program is accounted. Key Words : Incentives, Green electricity purchase program, New & renewable energy, Choice Experiment - 316 -