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2025 Vol.34, Issue 1 Preview Page

Research Paper

31 March 2025. pp. 27-54
Abstract
This paper analyzes the impact of representing visual alternatives on survey respondents’ choices and preferences in valuing non-market goods. The survey was divided into two groups for the ecological river restoration project: a text-only group and a virtual photo and text group. The estimation results show that respondents express stronger preferences for environmental attributes when they are presented with virtual images and text. In particular, the estimated willingness to pay for water quality, biodiversity, and recreational uses was significantly higher than in the text-only group. These results suggest that traditional text-only stated preference methods may lead to an underestimation of willingness to pay. We also explored the potential application of generative AI in creating visual representations. This paper demonstrates that providing visual aids can mitigate the limitations of the stated preference approach and enhance the reliability of data used to estimate the value of environmental goods.
본 연구는 비시장재화의 가치평가에 널리 활용되는 진술선호접근방법에서 시각적 자료의 활용이 설문 응답자의 선택 및 선호에 미치는 영향을 분석하였다. 생태하천 복원 사업을 대상으로 하여, 텍스트만 제공된 그룹과 가상 사진 및 텍스트가 함께 제공된 그룹으로 나누어 설문을 진행하였다. 추정 결과, 가상 사진과 텍스트가 함께 설문에서는 응답자들이 친환경적 속성에 대해 더 높은 선호를 나타내었다. 특히 수질, 생물종다양성, 친수기능에 대한 지불의사액이 텍스트만 제공된 그룹에 비해 크게 추정되었다. 이러한 결과는 기존의 텍스트만을 이용하는 방식에서 지불의사액이 과소 혹은 과대 추정될 수 있음을 시사한다. 또한, 시각적 자료 생성에 있어 급격하게 발전하고 있는 생성형 AI의 활용 가능성을 검토하였다. 본 연구는 시각적 자료 제공이 진술선호접근법의 한계를 보완하고, 보다 신뢰성 있는 데이터를 수집하여 환경재화의 가치를 추정하는 데 기여할 수 있음을 보여준다.
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Information
  • Publisher :Environmental and Resource Economics Review
  • Publisher(Ko) :자원 · 환경경제연구
  • Journal Title :자원·환경경제연구
  • Journal Title(Ko) :Environmental and Resource Economics Review
  • Volume : 34
  • No :1
  • Pages :27-54