개별여행비용법을 이용한 바다 유어 낚시의 소비자 잉여추정
Estimating Consumer Surplus for Recreational Sea Fishing using Individual Travel Cost Method
1
조회
0
다운로드
16
인용
0
참고문헌
키워드
초록
This paper aims at estimating consumer surplus for recreational sea fishing in Tongyeong coastal area using individual travel cost method. A Poisson model (PM), a negative binomial model (NBM), a truncated Poisson model (TPM), and a truncated negative binomial model (TNBM) are applied for individual travel cost method in order to account characteristics of count data (non-negative discrete data.)The survey was conducted for 462 inshore anglers using personal interview method in Tongyeong during July and October 2007. Respondents were asked about how often they do fishing, travel costs, catch, income, and so on. Because of over-dispersion problem in PM and TPM, NBM and TNBM and TNBM were considered to be more appropriate statistically. All parameters estimated are statistically significant and theoretically valid. As the results based on TNBM, consumer surplus per trip was estimated to be 183,486 won, total consumer surplus per person and per year 3,399,658 won, and the marginal effect of consumer surplus on % changes in catch rate is 185,372 won.
Abstract
This paper aims at estimating consumer surplus for recreational sea fishing in Tongyeong coastal area using individual travel cost method. A Poisson model (PM), a negative binomial model (NBM), a truncated Poisson model (TPM), and a truncated negative binomial model (TNBM) are applied for individual travel cost method in order to account characteristics of count data (non-negative discrete data.)The survey was conducted for 462 inshore anglers using personal interview method in Tongyeong during July and October 2007. Respondents were asked about how often they do fishing, travel costs, catch, income, and so on. Because of over-dispersion problem in PM and TPM, NBM and TNBM and TNBM were considered to be more appropriate statistically. All parameters estimated are statistically significant and theoretically valid. As the results based on TNBM, consumer surplus per trip was estimated to be 183,486 won, total consumer surplus per person and per year 3,399,658 won, and the marginal effect of consumer surplus on % changes in catch rate is 185,372 won.
참고문헌 (27)
- 김도훈, "여행비용모형 분석을 통한 유어(游漁)활동의 경제적 가치 추정－미국 멕시코만 Red Grouper 유어부문을 대상으로－", 수산경영론집, 36(2), pp.121~134 (2005), 한국수산경영학회
- 박철형, "유어낚시인구의 사회경제학적 특성과 출조빈도함수의 추정에 관한 연구", 수산경영론집, 36(1), pp.71~90 (2005), 한국수산경영학회
- 소국섭, "절단된 포아송(TP)모형을 활용한 골프수요 영향요인 연구", 관광학연구, 31(2), pp.9~27 (2007), 한국관광학회
- 송운강, "경포 해수욕장의 경제적 가치추정: 가산자료모형을 이용한 개인여행비용분석", 관광학연구, 28(1), pp.11~25 (2004), 한국관광학회
- 송운강, "TCM의 여행비용변수에 대한 논의", 관광연구저널, 19(3), pp.125~137 (2005), 한국관광연구학회
- 유승훈, "가산자료모형을 이용한 해양오염사고 발생횟수의 분석", 해양정책연구, 20(2), pp.33~56 (2005), 한국해양수산개발원
- 이희찬, "주5일 근무제가 관광수요에 미치는 영향", 관광학연구, 28(1), pp.43~61 (2004), 한국관광학회
- 이희찬, "전시관람수요인 결정요인: 절단된 가산자료모형의 적용", 관광학연구, 28(3), pp.307~326 (2004), 한국관광학회
- 한상현, "모형적합도 검정을 통한 여행비용모형 추정에 관한 연구: 역사유산 관광자원을 중심으로", 관광학연구, 28(1), pp.145~168 (2004), 한국관광학회
- 한상현, "산악 국립공원의 비 시장가치 추정에 관한 연구 : 주왕산 국립공원에 대한 개인별 여행비용모형의 적용", 관광연구, 21(1), pp.113~129 (2006), 대한관광경영학회
- 해양경찰청, "해양경찰백서" (2007), 해양경찰청
- 허윤정, "가산자료모형을 이용한 송정 해수욕장의 경제적 가치추정:-비수기 해수욕장의 가치추정-", 수산경영론집, 38(2), pp.79~101 (2007), 한국수산경영학회
- Bergstrom, J.C., "An Analysis of the demand for and value of outdoor recreation in the United States", J. Leis. Res, 23, pp.67~86 (1991)
- Cameron, A.C., "Econometric models based on count data: Comparisons and applications of some estimators and tests", J. Appl. Econom, 1(1), pp.29~53 (1986)
- Cameron, A.C., "Regression analysis of count data" (1998), Cambridge University Press
- Creel, M., "Theoretical and empirical advantages of truncated count data estimators for analysis of deer hunting in California", Am. J. Agr. Econ, 72(2), pp.434~441 (1993)
- Curtis, J.A., "Estimating the demand for salmon angling in Ireland", Econ. Social Review, 33(3), pp.319~332 (2002)
- Hagerty, D., "Specification of driving costs in models of recreation demand", Land Econ, 81(1), pp.127~143 (2005)
- Hellerstein, D., "A theoretical foundation for count data models", Ame. J. Agr. Econ, 75, pp.604~611 (1993)
- Updated estimates of recreation values for the RPA program by assessment region and use of meta-analysis for recreation benefit transfer, "Loomis, J.B.", Colorado State University, 66~ (1999)
- O'Neil, M.F., "Use of binary and truncated negative binomial modelling in the analysis of recreational catch data", Fish. Res, 60, pp.471~477 (2003)
- Pradhan, N.C., "A Poisson and negative binomial regression model of sea turtle interaction in Hawaii's longline fishery", Fish. Res, 78, pp.309~322 (2006)
- Shaw, D., "On-site sample's regression: Problems of non-negative integers, truncation, and endogeneous selection", J. Econom, 37(2), pp.211~223 (1988)
- Shrestha, R.K., "Value of recreational fishing in the Brazilian Pantanal: A travel cost analysis using count data models", Ecol. Econ, 42, pp.289~299 (2002)
- Ward, F.A., "Valuing nature with travel cost models: A manual. Edgar Elgar", pp.255~ (2000), Cheltenham
- Ward, F.A., "The travel cost demand model as an environmental policy assessment tool: A review of literature", J. Agr. Resource Econ, 11(2), pp.164~178 (1986)
- Yen, S.T., "Statistical properties of welfare measures from count-data models of recreation demand", Rev. Agr. Econ, 15(2), pp.203~215 (1993)