Korean Journal of Agricultural and Forest Meteorology (한국농림기상학회지)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
권호 표지
DOI QR코드

DOI QR Code

Impacts of the Precipitation on Forest Recreation Demand

강수 요인이 산림휴양 수요에 미치는 영향

  • Kim, Dong-Jun (Department of Forest Science, College of Agriculture, Life and Environment, Chungbuk National University)
  • 김동준 (충북대학교 농업생명환경대학 산림학과)
  • Received : 2014.06.02
  • Accepted : 2014.06.27
  • Published : 2014.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Forest recreation is done outdoor, so weather has impact on forest recreation. Impact of temperature on forest recreation has been studied. However, impact of precipitation on forest recreation has not been studied yet. This article paid attention to rainfall and rainy day among the variables explaining the visitor number of national park. We analyzed whether rainfall and rainy day have impact on visitor number. As the result of analysis, rainy day had impact on the visitor number of national park in Korea, and the degree of the impact was inelastic. However, rainfall could not explain the visitor number of national park. It is needed to monitor the impact of precipitation on forest recreation demand.

산림휴양은 야외에서 하기 때문에 날씨의 영향을 많이 받게 된다. 기온이 산림휴양에 미치는 영향은 연구되었으나 강수요인의 영향은 아직 연구되지 않았다. 이 논문은 산림휴양이 가장 많이 이루어지는 장소인 산악 국립공원의 탐방객수에 강수량과 강우일수가 영향을 미치는지를 파악하였다. 강수량과 강우일수를 설명변수로 설정한 산림휴양 수요함수의 추정 결과에 의하면 국립공원 탐방객수에 강우일수는 영향을 미치고 있다. 즉 일정 기간 중에 비나 눈이 온 날씨가 많았는지를 나타내는 강우일수는 탐방객수를 감소시키며 그 정도는 비탄력적이다. 한편 일정 기간 중에 비나 눈이 온 양을 나타내는 강수량은 통계적으로 유의하지 않고 계수부호가 예상과 다르게 나왔다. 이와 같은 결과에 근거하여 국립공원 관리를 포함하는 산림휴양 관리를 효율적으로 하기 위하여 사회경제적 변수뿐만 아니라 기상변수에 대한 체계적인 모니터링이 필요하다.

Keywords

References

  1. Abidoye, B. O., and J. A. Herriges, 2012: Model uncertainty in characterizing recreation demand. Environmental and Resource Economics 53(2), 251-277. https://doi.org/10.1007/s10640-012-9561-7
  2. Amoako-Tuffour, J., and R. Martinez-Espineira, 2012: Leisure and the net opportunity cost of travel time in recreation demand analysis: An Application to Gros Morne National Park. Journal of Applied Economics 15(1), 25-49. https://doi.org/10.1016/S1514-0326(12)60002-6
  3. Brainard, J., I. Bateman, and A. Lovett, 2001: Modelling demand for recreation in English woodlands. Forestry 74(5), 423-438. https://doi.org/10.1093/forestry/74.5.423
  4. Garber-Yonts, B. E., 2005: Conceptualizing and measuring demand for recreation national forests. UDSA Forest Service-General Technical Report PNW-GTR 645, 1-40.
  5. Hall, R., D. Lilien, G. Sueyoshi, R. Engle, J. Johnston, and S. Ellsworth, 1999: Eviews manual. Quantitative Micro Software Inc.
  6. Han, S. Y., 2009: Assessing the impact of climate change on forest recreation demand. Journal of Korean Forest Recreation 13(2), 1-4. (in Korean with English Abstract)
  7. Hanink, D. M., and K. White, 1999: Distance effects in the demand for wildland recreational services: the case of national parks in the United States. Environment and Planning 31(3), 477-492. https://doi.org/10.1068/a310477
  8. Johnson, C. Y., and J. M. Bowker, 1999: On-site wildland activity choices among African Americans and White Americans in the rural South: Implications for management. Journal of Park and Recreation Administration 17(1), 21-39.
  9. Joo, R., 2007: Trend and long-term prediction of forest sector. Research Paper of Korean Forest Research Institute 07- 19, 92-99.
  10. Kim, J., 2004: Situation and demand prediction of Korean forest recreation. Research Paper of Korean Forest Research Institute 03-10, 2-3.
  11. Latinopoulos, D., 2014: The impact of economic recession on outdoor recreation demand. Journal of Environmental Planning and Management (In Press).
  12. Lee, J. H., and S. Y. Han, 2003: Estimations of recreational demand and economic benefits on Gayasan national park using travel cost method. Journal of Korean Forest Recreation 7(1), 35-40. (in Korean with English Abstract)
  13. Lee, J. H., and S. Y. Han, 2004: Developing demand function of national parks using gravity model. Journal of Korean Forest Recreation 8(1), 45-49. (in Korean with English Abstract)
  14. Marvasti, A., 2013: Estimating outdoor recreation demand with aggregate data: A revealed preference approach. Ocean & Coastal Management 71, 170-175. https://doi.org/10.1016/j.ocecoaman.2012.09.006
  15. Mieczkowski, Z., 1985: The tourism climatic index: A method of evaluating world climates for tourism. The Canadian Geographer 29(3), 220-233. https://doi.org/10.1111/j.1541-0064.1985.tb00365.x
  16. Ovaskainen, V., M. Neuvonen, and E. Pouta, 2012: Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A finnish case. Journal of Forest Economics 18(4), 303-317. https://doi.org/10.1016/j.jfe.2012.06.001
  17. Pongkijvorasin, S., and V. Chotiyaputta, 2013: Climate change and tourism. A case study of Khaoyai National Park. Tourism Management Perspectives 5, 10-17. https://doi.org/10.1016/j.tmp.2012.10.002
  18. Richardson, R. B., and J. B. Loomis, 2004: Adaptive recreation planning and climate change: a contingent visitation approach. Ecological Economics 50, 83-99. https://doi.org/10.1016/j.ecolecon.2004.02.010
  19. Ridderstaat, J., M. Oduber, R. Croes, P. Nijkamp, and P. Martens, 2014: Impacts of seasonal patterns of climate on recurrent fluctuations in tourism demand: Evidence from Aruba. Tourism Management 41, 245-256. https://doi.org/10.1016/j.tourman.2013.09.005
  20. Rudis, V. A., 1987: Recreational use of forested areas by Alabama residents. Research Paper. Southern Forest Experiment Station, USDA Forest Service 1987. 37pp.
  21. Sim, K. W., and J. H. Lee, 2010: A causality analysis on the relationship between national park visitor use and economic variables. Journal of Korean Forest Society 99(4), 573-579. (in Korean with English Abstract)
  22. Sim, K. W., and H. K. Kwon, 2011: The impact of climate change on forest recreation demand. Journal of Korean Forest Recreation 15(2), 35-40. (in Korean with English Abstract)
  23. Smith, J. W., and R. L. Moore, 2013: Social-psychological factors influencing recreation demand: Evidence from two recreational rivers. Environment and Behavior 45(7), 821-850. doi: 10.1177/0013916512446335

Cited by

  1. Estimating Precise Spatio-Temporal Distribution of Weather Condition Using Semi-Variogram in Small Scale Recreation Forest vol.18, pp.3, 2015, https://doi.org/10.11108/kagis.2015.18.3.063