Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
권호 표지
DOI QR코드

DOI QR Code

Assessment of the willingness to pay in relation to public value in forests

  • Park, Jaehong (Department of Food Economics and Service, Yeungnam University) ;
  • Kim, Sounghun (Department of Agricultural Economics, Chungnam National University) ;
  • Hong, Seungjee (Department of Agricultural Economics, Chungnam National University)
  • Received : 2021.06.10
  • Accepted : 2021.07.21
  • Published : 2021.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

This study aimed quantitatively to estimate the recent level of recognition of the public value of forests in Korea, to analyze the factors that affect their value, and to present implications. The average annual payment regarding the public value of forests estimated using the contingent valuation method was 234,170 won, broken down into 12 functionalities. The Tobit model was used to analyze demographic factors affecting the degree of willingness to pay, and the analysis showed that area of residence, age, marital status, occupation, household income, and visits to forest facilities all had statistically significant impacts on the degree of willingness to pay. Among these variables, living area (living in Seoul), marriage status (married), occupation (professional and office workers), and household income (more than the median income) were found to have a positive relationship with the degree of willingness to pay, while age and the number of visits to forest facilities were found to have a negative relationship. The implications are as follows: First, it is necessary to establish and implement policies to enhance positive perceptions of the various functions of forests and the legitimacy of protecting forest resources, considering that the public's valuation of various public functions provided by forests is directly related to changes in perception. Second, public evaluations of the public value of forests remain at a low level, meaning that education and promotions regarding the public value of forests need to be implemented and strengthened in the future. Finally, in order to form a consensus among people on the public functions of forests, customized promotions and educational events need to be implemented for non-Seoul residents, non-professionals, the unmarried, and for those who regularly visit forests.

Keywords

Acknowledgement

이 연구는 2021년도 영남대학교 학술연구조성비에 의한 것임.

References

  1. Arrow KJ. 1963. Social choice and individual values. John Wiley, New York, USA.
  2. Fleurbaey M, Abi-Rafehy R, Lee EY. 2016. The use of distributional weights in benefit-cost analysis: Insights from welfare economics. Review of Environmental Economics and Policy 10:286-307. https://doi.org/10.1093/reep/rew003
  3. Han SY, Jo EK, Lee HS, Kim MK, Jeon KM, Kwon JK, Park CY. 2010. Estimating the economic impact of natural recreation forests using reginal input-output model. Korea Forest Service, Daejeon, Korea. [in Korean]
  4. Hill RC, Griffiths WE, Lim GC. 2010. Principles of econometrics 4th edition. John Wiley, New York, USA.
  5. Hong SJ. 2016. Measuring benefits of providing water for environmental improvement in Daechi-stream and Ji-stream. Korean Journal of Agricultural Science 43:275-287. [in Korean] https://doi.org/10.7744/kjoas.20160030
  6. KFS (Korea Forest Service). 2019. In-depth analysis of forest resource promotion projects and policy direction reset. KFS, Daejeon, Korea. [in Korean]
  7. Kim JD, Cho MK. 2005. An economic feasibility analysis of a public project using contingent valuation method. Korean Journal of Agricultural Management and Policy 14:101-134. [in Korean]
  8. Kim JH, Kim KD, Kim RH, Park CY, Yoon HJ, Lee SW, Choi HT, Kim JJ. 2010. A quantification study about the function of public benefit from forest. National Institute of Forest Science, Seoul, Korea. [in Korean]
  9. Kim SH, Han JH. 2019. Measuring the social effects of the origin labeling of beef in the Korean food service sector. Korean Journal of Agricultural Science 46:323-333. [in Korean] https://doi.org/10.7744/KJOAS.20190018
  10. KOSTAT (Statistics Korea). 2019. Population projections for Korea (2017~2067). Accessed in http://kostat.go.kr/portal/eng/pressReleases/8/8/index.board on 20 March 2021.
  11. KRICT (Korea Research Institute of Chemical Technology). 2018. Social awareness and expert awareness survey on climate change response policies and carbonization technologies. Accessed in http://co2platform.krict.re.kr/document/view/page/3/id/7#u on 2 June 2021. [in Korean]
  12. Layard R, Glaister S. 1994. Cost-benefit analysis. Cambridge University Press, Cambridge, UK.
  13. Louviere JJ. 1988. Analyzing decision making: Metric conjoint analysis. Sage, Newbury Park, CA, USA.
  14. Lynch JG. 1985. Uniqueness issues in the decompositional modelling of multiattribute overall evaluation. Journal of Marketing Research 22:1-19. https://doi.org/10.1177/002224378502200101
  15. Maddala GS. 1983. Limited-dependent and qualitative variables in econometrics. Cambridge University Press, Cambridge, UK.
  16. Minaputri EFM, Park BJ, Joung DW, Bachtiar R. 2017. Economic assessment of Cibodas botanical garden as environment and human health service-based ecotourism object. Korean Journal of Agricultural Science 44:123-132. https://doi.org/10.7744/kjoas.20170014
  17. Min KT. 2011. An analysis of forest cutting age considering the effect of carbon sequestration. Journal of Rural Development 34:43-54. [in Korean]
  18. Min KT, Seok HD, Choi JY. 2017. Policy tasks to improve the profitability of forest management in Korea. Korea Rural Economic Institute, Naju, Korea. [in Korea]
  19. NIFS (National Institute of Forest Science). 2020. The public value of our forests is 221 trillion won. Accessed in https://nifos.forest.go.kr/kfsweb/cop/bbs/selectBoardList.do?bbsId=BBSMSTR_1036&orgId=kfri&mn=UKFR_03_03&ctgryLrcls=CTGRY150 on 2 June 2021. [in Korean]
  20. O HS. 1997. Environment economics. Bobmunsa, Seoul, Korea. [in Korean]
  21. Song HI, Bae HE, Lee EY. 2014. Study on personal information of economic value using CVM. Internet & Security Focus May:22-45. [in Korean]
  22. Wooldridge JM. 2006. Introductory econometrics. Thomson South-Western, Mason, Ohio, USA.
  23. Yoo JC, Kim MO, Kong KS, Yoo BI. 2010. Estimating the non-market value of Korean forest. Journal of Rural Development 33:43-62. [in Korean]