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조건부 가치측정법을 이용한 유기성 폐기물 에너지화 시설 확대의 비시장적 편익 추정
민서현,박소연,유승훈 한국폐기물자원순환학회 2016 한국폐기물자원순환학회지 Vol.33 No.6
As economic growth and development of the living standard causes increasing production of organic waste, the desire to take advantage of organic waste to produce energy is also increasing. Organic waste-to-energy can contribute to improving energy independence through domestic energy security as well as improving the environment by reducing the need for landfills. This paper attempts to quantitatively analyze the non-market benefits arising from the organic waste-to-energy policy. To this end, we apply a contingent valuation (CV) that is most widely used to measure the nonmarket benefits. As for the willingness to pay (WTP) elicitation method, we employed the one-and-one-half-bounded dichotomous choice (DC) model, which produces higher statistical efficiency than the single-bounded DC model and yields greater consistency than the double-bounded DC model. In the CV survey result of 1000 Korean households, a total of 586 households (58.6%) revealed zero WTP. This implies that the use of the mixture model to deal with zero WTP responses was a suitable approach in our study. The yearly mean WTP was computed as KRW 3598 for the next ten years per household, which is statistically significant at the 1% level. Expanding the value to the national population gives us KRW 67.3 billion per year and this value demonstrates the non-market benefits of the organic waste-to-energy policy. This quantitative information could be utilized as a significant reference in the implementation of the organic waste-to-energy policy.
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민서현,진세준,임태훈,하진희,유승훈 한국혁신학회 2017 한국혁신학회지 Vol.12 No.1
The progress of knowledge information society is accelerating. Therefore, possibility of infinite data utilize is getting attention and data industry is growing actively. This study attempts to apply inter-industry analysis using exogenous specification to investigating the economic impacts of data industry in the Korean national economy. More specifically, this study shows what national economy effect of production-inducing effect, value-added creation effect, employment-inducing effect are explored with demand-driven model. The supply-shortage effect and the sectoral price effect are also analyzed with supply-driven model, Leontief price model, respectively. Furthermore, to investigate the roles of the data industry, we considered the forward/backward linkage effect. According to the results, 1 won increase of the data industry induced to increase 1.5140 won, 0.7353 won in other industries’ production and value-added creation effect, respectively. The employment- inducing effect of one billion won of production or investment in data industry is calculated to be 9.9850 persons. The data industry is classified into final primary production industry. Supply shortage effect and sectoral price effect of data industry are 0.7101 won, 0.0993% in other industries, respectively. These quantitative information can be usefully utilized in the policy-making for the data industry development project. 지식정보사회로의 진전이 가속화됨에 따라 데이터의 무한한 활용 가능성이 주목받고 있으며 관련 산업은 활발히 성장하고 있다. ‘데이터 시대’의 도래에 따라 향후 데이터산업의수준이 국가 간 경쟁력 차이를 결정하게 될 것이다. 이에 본 연구에서는 산업연관표 기본부문 중 데이터산업 관련 부문을 외생화한 후, 데이터산업이 국내 경제에 미치는 파급효과에대하여 산업연관분석을 적용하여 분석하고자 한다. 수요유도형 모형, 공급유도형 모형, 레온티에프 가격모형을 적용하였으며, 산업간 연쇄효과를 분석하여 전 산업에서 데이터산업의위치를 확인하고자 한다. 분석결과, 데이터산업에 1원의 예산이 투입되면 1.5140원의 생산유발효과, 0.7353원의 부가가치 유발효과를 일으키며, 데이터산업에서의 10억원 투자 증가는 9.9850명의 취업유발효과를 일으킨다. 데이터산업에서의 1원의 공급지장 시 타 산업에0.7101원의 타격을 미치며, 데이터산업의 산출물 가격이 10% 상승 시 타 산업에 평균0.0993%의 물가파급효과를 미치는 것으로 분석되었다. 또한 데이터산업은 모두 1보다 낮은전⋅후방 연쇄효과를 가져 최종수요적 기초산업형인 성격으로 나타났다. 이러한 정량적 정보는 데이터산업 관련 정책 수립을 위한 기초자료로 활용될 수 있다.
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선택실험법을 이용한 SRF 제조 및 활용 시설 확대의 외부편익 추정
민서현,임슬예,유승훈 한국폐기물자원순환학회 2017 한국폐기물자원순환학회지 Vol.34 No.1
Solid refuse fuel (SRF), which is made of combustible waste, has to pass the government’s rigid standards. The Korean government plans to enhance the ratio of biomass energy to total energy use from 3.17% in 2013 to 4.16% in 2020. In particular, the Korean government aims to raise the ratio of combustible waste converted into SRF from 16% in 2014 to 100% in 2020 by increasing the number of facilities manufacturing and utilizing SRF. We attempt to analyze the external benefits of the expansion using the data obtained from a survey of 1,000 randomly selected households. A choice experiment, an economic technique, is employed here. The attributes considered in the study are ‘improvement of energy security’, ‘reduction of greenhouse gases emissions’, ‘extension of landfill life expectancy’, ‘job creation’, and ‘price’ measured as an additional amount of monthly electricity and heating bills per household. The multinomial logit model, which requires the assumption of the ‘independence of irrelevant alternatives’, is applied. However, the assumption could not be satisfied in our data. Thus, we finally utilized a nested logit model that does not require the assumption. All the parameter estimates, except for ‘improvement of energy security’, in the utility function are statistically significant at the 5% level. The estimation results show that the marginal willingness to pay (MWTP) for one year increase in landfill life expectancy is estimated to be 218.8 won per household per year. MWTP for 100,000 tCO2 decrease in greenhouse gases emission is calculated to be 171.9 won per household per year. MWTP for the creation of a new job is computed to be 10.7 won per household per year.
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민서현(SeoHyeon Min),이민규(Minkyu Lee),정성문(SungMoon Jung) 한국경제통상학회 2021 경제연구 Vol.39 No.2
디지털 기술이 발전함에 따라 전 산업에 걸쳐 디지털 전환이 급속도로 확산되고 있다. 특히, 의료산업의 경우 디지털 기술이 접목되면서 디지털의료산업이 계속해서 확장되고 있으며 고부가가치를 창출하는 산업으로 성장하고 있다. 따라서 본 논문에서는 해당산업의 특징을 살펴보기 위해 라이프케어를주력산업으로 육성하고 있는 부산지역의 디지털의료산업의 구조와 산업에 따른 영향을 분석하고그 효과를 도출하여 전국과 비교하였다. 분석결과 부산지역 디지털의료산업은 투입구조 측면에서상대적으로 노동집약적 산업이라는 것을 알 수 있었다. 또한, 디지털 의료산업은 부가가치 유발효과와 취업유발효과가 높은 것으로 나타났다. 따라서 향후 지역과 국가 차원에서 지속적인 관심과 지원을 통해 미래 유망산업으로 육성시킬 필요가 있다. As digital technology advances, digital transformation is rapidly spreading across all industries. In particular, the digital healthcare industry continues to expand as digital technology is combined, and it is growing into an industry that creates high value-added. Therefore, we analyzed the structure of the digital healthcare industry in Busan and its impact on the industry in order to examine the characteristics of the industry. The analysis showed that the digital healthcare industry in Busan is relatively labor-intensive in terms of input structure. In addition, the digital healthcare industry has high value-added and job-creating effects. Therefore, it is necessary to foster it as a promising industry in the future through continuous interest and support at the local and national levels.
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