[논문]국가중요농업유산 제도 시행에 따른 방문객 인식 변화: 울릉 화산섬 밭농업 지역을 대상으로

도지윤; 정명철

doi:10.14249/eia.2022.31.3.173

국가중요농업유산 제도 시행에 따른 방문객 인식 변화: 울릉 화산섬 밭농업 지역을 대상으로
A Study on the Change of Visitor's Perception with the Implementation of Korean Important Agricultural Heritage System: The Field Agricultural Area of the Volcanic Island in Ulleung 원문보기

환경영향평가 = Journal of environmental impact assessment, v.31 no.3, 2022년, pp.173 - 183

도지윤 (농촌진흥청 국립농업과학원) , 정명철 (농촌진흥청 국립농업과학원)

초록
AI-Helper

본 연구는 빅데이터를 활용하여 국가중요농업유산(KIAHS; Korean Important Agricultural Heritage System) 제도 시행 전후 기간을 비교하여 방문객 인식 특성을 파악함으로써 제도 도입의 효과와 발전 가능성을 모색하는데 목적이 있다. 울릉도와 관련된 인식은 지정 전후 모두 접근성과 관련된 키워드가 상위 키워드로 도출되었으며, 특히 지정 이후 다양한 접근 방법과 새로운 개항 등의 키워드를 찾아볼 수 있었다. 국가중요농업유산 지정 이후 긍정적인 인식이 증가하였으며, 호감의 인식이 증가한 것을 알 수 있다. 또한, 공통적으로 정확한 작물의 이름과 화산섬에 대한 키워드가 나타났으나, 지정 이후의 중심성 분석 결과에서 영향력이 높아진 것을 확인할 수 있었다. 즉, 전통지식 보전과 이를 활용한 전통 농업문화의 발전에 도움이 되고 있음을 알 수 있었다.

Abstract ▼ AI-Helper

The purpose of this study is to explore the purpose of introducing the system and the possibility of development by comparing the period before and after the implementation of the Korean Important Agricultural Heritage System (KIAHS) using big data. In terms of perception related to Ulleungdo Island, keywords related to accessibility were derived as higher keywords before and after designation, and in particular, keywords such as various approaches and new ports could be found after designation. It can be seen that positive perception increased after the designation of KIAHS, and the perception of good increased particularly. In addition, the exact name of wild greens and keywords for volcanic island appeared in common, but it was confirmed that the influence increased in the results of the centrality analysis after the designation. In other words, it was found that the designation of KIAHS was helpful in preserving traditional knowledge and developing traditional agricultural culture using it.

주제어

표/그림 (9)

표 Table 1. Analysis text data amount
표 Table 2. Frequency of keywords
표 Table 3. Analysis of keywords by type
표 Table 4. Analysis of Korea important agricultural heritage keywords
그림 Figure 1. Keyword associations (N-garm)
표 Table 5. Network connection level
표 Table 6. Network centrality
표 Table 7. Significance test
표 Table 8. Sentiment analysis

참고문헌 (18)

Do JY, Suh, JH. 2022. Analysis of the Landscape Characteristics of Islands Using Big Data - Focused on Island in Jeollanam-do and Jeollabuk-do -. Journal of East Asian Landscape Studies 16(1): 39-50.
Do JY. 2022. A Study on the Landscape Characteristics of the Island Using Big Data:An Island in Jeollanam-do and Jeollabuk-do. Ph.D. Dissertation, Kyunghee University.
Gwak KY. 2017. Social Network Analysis. Chungram.
Hur MH, Ra HM, Cha YJ. 2010. A Study on the Improvement of Government Performance Appraisal System through the Survey on the Government Officials' Perceptions. The Journal of Korean Policy Studies 10(3): 479-504.
Jeong WY, Kim HS, Kim LT. 2017. Analysis of economic spillover on exhibition and convention center using big data: Based on consumption scale of visitors in bexco. Korean Journal of Hospitality & Tourism 26(8): 105-117.

상세보기
Kim JH. 2011. A study on the Improvement of Performance Evaluation System for Jeju Special Self-Governing Province: Centered on Performance Evaluation System based on the Agreement. Korean Policy Sciences Review 15(3): 181-205.
Kim SB. 2015. Blog Text Analysis about Visitors' Experience Change of Seochon. Journal of the Architectural Institute of Korea 31(6): 93-102.
Lee HM. 2019. A study on the tourism status of Suwon Hwaseong Fortress using big data analysis: Focusing on keywords for each year. International Journal of Tourism and Hospitality Research 33(7): 103-115.
Lee SC, Bahk HC, Kim SJ, Lee SJ. 2012. Study on the Improvement through Operation Assessment and Survey of Landscape Self Check System as Landscape Management System of Seoul City. Seoul Studies 13(2): 141-153.
Lee SH, Jeong SM. 2019. Effects of "Walking City, Seoul" Policy and Directions for Future Researches. The seoul Institute, 1-83.
Noh HK. 2022. A study on perception of cultural heritage tourism by using social big data: a focus on Gongsanseong Fortress in Gongju. Journal of Hospitality and Tourism Studies 243(1): 115-125.
Park NH. 2008. A Study on the Blog Users' Newsmedia Credibility: Focusing on Comparing blogs with Traditional Newsmedia and the Factors Affecting Blog Credibility. Korean Journal of Journalism & Communication Studies 52(3): 422-439.
Song JY, KIm NJ. 2018. The Effect Relationship Between Objective Authenticity, Experience, Existential Authenticity and Satisfaction of Modern Cultural Heritage Site: Focused on the Cultural District of Incheon Port's Area. International Journal of Tourism Management and Sciences 33(5): 43-66.

상세보기
Woo KS, Kim GT, Suh JH. 2018. Analysis of the Landscape Image of the Seoul City Wall with the Naksan Section. Journal of East Asian Landscape Studies 12(1): 7-12.
Yoo MS, Chung MS. 2008. The Relationships among the Perception of Quality Assurance and National Hospital Evaluation Program and Nursing Performance of Hospital Nurses. Journal of Korean Academy of Nursing Administration 14(3): 260-267.
www.nongsaro.go.kr
www.mafra.go.kr
www.textom.co.kr

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