學術產出-Theses

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 海岸濕地遊憩價值研究 -以台南七股鹽田溼地為例
Recreational value of the Tainan Chiku Coastal Wetland
作者 黎俊廷
貢獻者 蕭代基
Shaw,Daigee
黎俊廷
關鍵詞 旅行成本法
七股鹽田濕地
日期 2016
上傳時間 9-Aug-2016 11:59:44 (UTC+8)
摘要 濕地所供給的生態系統服務(Ecosystem Service)與人類社會是密不可分的,且一旦破壞便難以回復到原本的狀態。
 本研究藉由評估台南七股鹽田濕地的遊憩價值,用以說明濕地的重要性。調查母體為台灣全體20歲以上居民,採親自訪問調查以減少偏誤,使用旅行成本法評估濕地的遊憩價值,並透過假設行為法來評估「環境品質上升50%」所帶來遊憩效益的變化,實證模型方面,利用三種模型來評估濕地的遊憩價值,包括整數分配的Poisson迴歸模型、Negative Bionomial迴歸模型、廣義Poisson迴歸模型,以及連續變數的Tobit迴歸模型。
 本研究將旅遊者區分為過夜與不過夜兩類,分別評估其旅遊需求函數,研究發現過夜者的旅遊需求不同於一般對理性消費者的預期,故本研究只針對當日旅遊者估計其旅遊需求函數,計算其遊憩效益。
 最終採廣義卜瓦松迴歸模型計算遊憩效益,結果顯示,台南七股鹽田溼地的遊憩效益為平均每年每人為437.05元,平均每年因「環境品質上升50%」而增加的價值為263.39元,每年每人的遊憩效益約提升62%。全國每年遊憩效益部分,104年全國七股鹽田溼地的遊憩價值約為4.11億元,環境品質上升可使每年的遊憩效益增加1.46億元。
The ecosystem services provided by the wetland have an inseparable relationship with human society and it would be difficult to restore to its initial status if it had been destroyed.
This study evaluates recreational value of the Tainan Chiku Wetland. The research adopted in-person survey and the population of the sample is Taiwan residents over 20 years old. Moreover, I use the travel cost method to assess the recreational value of the wetland and to evaluate the value of environment quality improvement through the contingent behavior method. As for the empirical model, I use three different econometric models to estimate the recreational demand function, including Poisson regression model, Negative Binomial regression model, Generalized Possion and Tobit regression model.
Furthermore, I estimate two different tourism demand functions separately for overnight and day-trip travelers. I find that overnight travelers are quite different from day-tripers. Thus, I only study the behavior of day-trip travelers.
This study finally use Generalized Possion regression model to show results, the recreational benefit per person per year of the Tainan Chiku Wetland is 437.05NTD. With the improvement of the environmental quality, the benefit per person per year increases 263.39NTD. For the whole country, recreational benefit per year of the Tainan ChiKu Wetland is 4.11 hundred million NTD. It will increase to 1.24 hundred million NTD per year with the environmental quality improvement.
參考文獻 參考文獻
中文文獻
王文華(2008),「台灣地區自殺企圖者之重複自殺企圖次數統計模型探討」,政治大學
統計研究所碩士學位論文
內政部營建署(2016),『七股鹽田重要溼地(國家級)-保育利用計畫』,台北:內政部營
建署。
台南縣政府新聞處(2007),『南瀛新象月刊』,台南:台南縣政府新聞處。取自
http://ifo.tainan.gov.tw/Publish_Index.aspx?sYear=2007&sMon=8&sClass=1。
行政院主計處(2015),『人力資源調查統計年報』,台北:行政院主計處。
交通部統計處(2014),『自小客車使用狀況調查報告』,台北:交通部統計處。
交通部觀光局(2014),『國人旅遊狀況調查』,台北:交通部觀光局。
陳郁蕙、李俊鴻、陳雅惠(2011),「森林遊樂區遊客旅遊品質提昇之經濟效益評估
-以溪頭森林遊樂區為例」 [Evaluation of Economic Benefits from Visitor`s Ecotourism QualityImprovement in Forest Recreational Area-A Case of Chi-Tou Forest Recreational Area],農業經濟叢刊,16(2),1-40,doi: 10.6196/taer.2011.16.2.1。
洪貫捷、呂翊維(2015),「2015全球黑面琵鷺普查 臺灣結果大公開」,台北,中華民國
野鳥協會。取自http://www.bird.org.tw/index.php/news/cwbf/1005-2015-。
黃成輝、曾偉君(2006),「台灣沿海濕地以及紅樹林之遊憩效益」 [Valuing
Recreational Benefits of the Coastal Wetlands and Mangrove in Taiwan],觀光研究學報,12(1),43-66,doi: 10.6267/jtls.2006.12(1)3。
簡君芳(2015),「淡水河紅樹林濕地之遊憩價值評估-旅行成本法與條件行為法之應
用」,國立台北大學自然資源與環境管理研究所碩士論文。
鄭蕙燕(1998),「水鳥保護區遊客之時間價值估計」,農林學報,47(3),121-129。
鄭蕙燕、張偉祐、林政德(2000),「四草野生動物保護區遊客之遊憩效益與時間成
本:截斷式波爾生模型之應用」 [Recreational Benefits and Time Costs of Syh-Tsao Wildlife Sanctuary: An Application of Truncated Poisson Model],農業經濟半年刊,67,161-179。
錢玉蘭、林幸助、蕭代基、吳珮瑛(2016),『104至105年度國家重要濕地社會經濟價
值評估計畫』,內政部營建署委託計畫。
蕭代基(1987),「旅行成本法-投入需求函數或產出需求函數」,『中國經濟學會年會論
文集』,161-173。

蕭代基、鄭蕙燕、吳珮瑛、錢玉蘭、溫麗琪(2002),『環境保護之成本效益分析-理
論、方法與應用』。臺北市:俊傑。
謝奇明、楊捷婷(2014),「 太魯閣國家公園遊憩衝擊降低方案之經濟效益分析」,農
業經濟叢刊,19(2),65-94。

英文文獻
Barbier, E. B. (1994). Valuing environmental functions: tropical wetlands.
Land economics, 155-173.
Bishop, R. C., & Heberlein, T. A. (1979). Measuring values of extramarket
goods: Are indirect measures biased? American journal of agricultural economics, 61(5), 926-930.
Bockstael, N. E., Strand, I. E., & Hanemann, W. M. (1987). Time and the
recreational demand model. American journal of agricultural economics, 69(2), 293-302.
Brookshire, D. S., Thayer, M. A., Schulze, W. D., & d`Arge, R. C. (1982).
Valuing public goods: a comparison of survey and hedonic approaches. The American Economic Review, 72(1), 165-177.
Carr, L., & Mendelsohn, R. (2003). Valuing coral reefs: a travel cost
analysis of the Great Barrier Reef. AMBIO: A Journal of the Human Environment, 32(5), 353-357.
Curtis, J. A. (2002). Estimating the demand for salmon angling in Ireland.
Economic and Social Review, 33(3), 319-332.
Cochran, W. G. (2007). Sampling techniques: John Wiley & Sons.
Cesario, F. J. (1976). Value of time in recreation benefit studies. Land
economics, 52(1), 32-41.
Eiswerth, M. E., Englin, J., Fadali, E., & Shaw, W. D. (2000). The value of
water levels in water‐based recreation: A pooled revealed preference/contingent behavior model. Water Resources Research, 36(4), 1079-1086.
Englin, J., & Cameron, T. A. (1996). Augmenting travel cost models with
contingent behavior data. Environmental and Resource Economics, 7(2), 133-147.
Englin, J., & Cameron, T. A. (1996). Augmenting travel cost models with
contingent behavior data. Environmental and Resource Economics, 7(2), 133-147.


Freeman III, A. M., Herriges, J. A., & Kling, C. L. (2014). The measurement
of environmental and resource values: theory and methods: Routledge.
Fleming, C. M., & Cook, A. (2008). The recreational value of Lake McKenzie,
Fraser Island: An application of the travel cost method. Tourism Management, 29(6), 1197-1205.
Grossmann, M. (2011). Impacts of boating trip limitations on the
recreational value of the Spreewald wetland: a pooled revealed/contingent behaviour application of the travel cost method. Journal of Environmental Planning and Management, 54(2), 211-226. doi: 10.1080/09640568.2010.505827
Hanley, N., Bell, D., & Alvarez-Farizo, B. (2003). Valuing the benefits of
coastal water quality improvements using contingent and real behaviour. Environmental and Resource Economics, 24(3), 273-285.
Hawrylyshyn, O. (1976). THE VALUE OF HOUSEHOLD SERVICES: A SURVEY OF
EMPIRICAL ESTIMATES*. Review of Income and Wealth, 22(2), 101-103.
Haab, T. C., & McConnell, K. E. (2002). Valuing environmental and natural
resources: the econometrics of non-market valuation. Edward Elgar Publishing.
Hellerstein, D. (1992). Estimating consumer surplus in the censored linear
model. Land economics, 83-92.
Liu, W.-Y., Chiou, C.-R., & Lin, J.-C. (2014). Application of the travel
cost method to measure the urban forest park’s recreational value with first-visit satisfaction taken into account. Journal of Food, Agriculture & Environment, 12(2), 1013-1024.
Loomis, J. B. (1995). Four models for determining environmental quality
effects on recreational demand and regional economics. Ecological Economics, 12(1), 55-65. doi: http://dx.doi.org/10.1016/0921-8009(94)00020-V
McConnell, K. E., & Strand, I. (1981). Measuring the cost of time in
recreation demand analysis: an application to sportfishing. American Journal of Agricultural Economics, 63(1), 153-156.
Miaou, S.-P. (1994). The relationship between truck accidents and geometric
design of road sections: Poisson versus negative binomial regressions. Accident Analysis & Prevention, 26(4), 471-482.


Murphy, M. (1978). The value of nonmarket household production: opportunity
cost versus market cost estimates. Review of Income and Wealth, 24(3), 243-255.
Morgan, O. A , & Huth, W. L. (2011) Using revealed and stated preference
methods to value large ship artificial reefs:The Key West Vandenberg sinking. Preference data for environmental valuation: combining revealed and stated approaches, 139-156. : Routledge.
Orme, J. G., & Buehler, C. (2001). Introduction to multiple regression for
categorical and limited dependent variables. Social Work Research, 25(1), 49.
Odum, E. P. (1989). Ecology and our endangered life-support systems:
Sinauer Associates.
Rosen, H. S., & Small, K. A. (1979). Applied welfare economics with
discrete choice models: National Bureau of Economic Research Cambridge, Mass., USA.
Roth, C. E. (1992). Environmental Literacy: Its Roots, Evolution and
Directions in the 1990s. ERIC.
Russi, D., ten Brink, P., Farmer, A., Badura, T., Coates, D., Förster, J.,
Davidson, N. (2013). The economics of ecosystems and biodiversity for water and wetlands. IEEP, London and Brussels.
Schuyt, K., & Brander, L. (2004). Living Waters Conserving the source of
life. The economic value of the world’s wetlands.
Shaw, D. (1988). On-site samples` regression. Journal of Econometrics,
37(2), 211-223. doi: http://dx.doi.org/10.1016/0304-4076(88)90003-6
Shaw, D., Chien, Y.-L., & Lin, Y.-M. (1999). Alternative approach to
combining revealed and stated preference data: evaluating water quality of a river system in Taipei. Environmental Economics and Policy Studies, 2(2), 97-112.
Shrestha, R. K., Seidl, A. F., & Moraes, A. S. (2002). Value of
recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models. Ecological Economics, 42(1–2), 289-299. doi: http://dx.doi.org/10.1016/S0921-8009(02)00106-4
Smith, V. K. (1988). Selection and recreation demand. American Journal of
Agricultural Economics, 70(1), 29-36.
Simões, P., Barata, E., & Cruz, L. (2013). Joint estimation using revealed
and stated preference data: An application using a national forest. Journal of Forest Economics, 19(3), 249-266. doi: http://dx.doi.org/10.1016/j.jfe.2013.03.001
Tobin, J. (1958). Estimation of relationships for limited dependent
variables. Econometrica: journal of the Econometric Society, 24-36.

Turner, R. K., Burgess, D., Hadley, D., Coombes, E., & Jackson, N. (2007).
A cost–benefit appraisal of coastal managed realignment policy. Global Environmental Change, 17(3), 397-407.
Whitehead, J., Haab, T., & Huang, J.-c. (2011). Preference data for
environmental valuation: combining revealed and stated approaches (Vol. 31): Routledge.
Whitehead, J. C., Haab, T. C., & Huang, J.-C. (2000). Measuring recreation
benefits of quality improvements with revealed and stated behavior data. Resource and Energy Economics, 22(4), 339-354. doi: http://dx.doi.org/10.1016/S0928-7655(00)00023-3
Whitehead, J. C., Pattanayak, S. K., Van Houtven, G. L., & Gelso, B. R.
(2008). Combining revealed and stated preference data to estimate the nonmarket value of ecological services: an assessment of the state of the science. Journal of Economic Surveys, 22(5), 872-908.
Zhang, F., Wang, X. H., Nunes, P. A. L. D., & Ma, C. (2015). The
recreational value of gold coast beaches, Australia: An application of the travel cost method. Ecosystem Services, 11, 106-114. doi: http://dx.doi.org/10.1016/j.ecoser.2014.09.001
描述 碩士
國立政治大學
經濟學系
103258025
資料來源 http://thesis.lib.nccu.edu.tw/record/#G1032580251
資料類型 thesis
dc.contributor.advisor 蕭代基zh_TW
dc.contributor.advisor Shaw,Daigeeen_US
dc.contributor.author (Authors) 黎俊廷zh_TW
dc.creator (作者) 黎俊廷zh_TW
dc.date (日期) 2016en_US
dc.date.accessioned 9-Aug-2016 11:59:44 (UTC+8)-
dc.date.available 9-Aug-2016 11:59:44 (UTC+8)-
dc.date.issued (上傳時間) 9-Aug-2016 11:59:44 (UTC+8)-
dc.identifier (Other Identifiers) G1032580251en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/99835-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經濟學系zh_TW
dc.description (描述) 103258025zh_TW
dc.description.abstract (摘要) 濕地所供給的生態系統服務(Ecosystem Service)與人類社會是密不可分的,且一旦破壞便難以回復到原本的狀態。
 本研究藉由評估台南七股鹽田濕地的遊憩價值,用以說明濕地的重要性。調查母體為台灣全體20歲以上居民,採親自訪問調查以減少偏誤,使用旅行成本法評估濕地的遊憩價值,並透過假設行為法來評估「環境品質上升50%」所帶來遊憩效益的變化,實證模型方面,利用三種模型來評估濕地的遊憩價值,包括整數分配的Poisson迴歸模型、Negative Bionomial迴歸模型、廣義Poisson迴歸模型,以及連續變數的Tobit迴歸模型。
 本研究將旅遊者區分為過夜與不過夜兩類,分別評估其旅遊需求函數,研究發現過夜者的旅遊需求不同於一般對理性消費者的預期,故本研究只針對當日旅遊者估計其旅遊需求函數,計算其遊憩效益。
 最終採廣義卜瓦松迴歸模型計算遊憩效益,結果顯示,台南七股鹽田溼地的遊憩效益為平均每年每人為437.05元,平均每年因「環境品質上升50%」而增加的價值為263.39元,每年每人的遊憩效益約提升62%。全國每年遊憩效益部分,104年全國七股鹽田溼地的遊憩價值約為4.11億元,環境品質上升可使每年的遊憩效益增加1.46億元。
zh_TW
dc.description.abstract (摘要) The ecosystem services provided by the wetland have an inseparable relationship with human society and it would be difficult to restore to its initial status if it had been destroyed.
This study evaluates recreational value of the Tainan Chiku Wetland. The research adopted in-person survey and the population of the sample is Taiwan residents over 20 years old. Moreover, I use the travel cost method to assess the recreational value of the wetland and to evaluate the value of environment quality improvement through the contingent behavior method. As for the empirical model, I use three different econometric models to estimate the recreational demand function, including Poisson regression model, Negative Binomial regression model, Generalized Possion and Tobit regression model.
Furthermore, I estimate two different tourism demand functions separately for overnight and day-trip travelers. I find that overnight travelers are quite different from day-tripers. Thus, I only study the behavior of day-trip travelers.
This study finally use Generalized Possion regression model to show results, the recreational benefit per person per year of the Tainan Chiku Wetland is 437.05NTD. With the improvement of the environmental quality, the benefit per person per year increases 263.39NTD. For the whole country, recreational benefit per year of the Tainan ChiKu Wetland is 4.11 hundred million NTD. It will increase to 1.24 hundred million NTD per year with the environmental quality improvement.
en_US
dc.description.tableofcontents 第一章 緒論 1
第一節 前言 1
一、濕地介紹 1
二、生態系統服務(Ecosystem Service) 2
第二節 研究動機 5
第三節 研究目的 7
第四節 研究範圍與方法 8
一、研究範圍 8
二、研究方法 8
第五節 文章架構 10
第二章 文獻回顧 11
第一節 旅行成本法與相關實證研究 13
第二節 應用旅行成本法重要課題 24
第三節 假設行為評估法與相關實證研究 27
第四節 顯示性偏好與假設行為的結合 29
第三章 問卷設計與調查 31
第一節 七股鹽田溼地環境與背景 31
一、地理位置與簡介 31
二、功能及重要性 33
三、重要觀測物種 33
四、濕地面臨問題 34
第二節 七股濕地遊憩價值調查問卷與抽樣設計 36
一、事前準備 36
二、問卷內容設計 38
第三節 問卷統計資料 40
第四章 七股溼地遊憩價值實證模型建構與推估 44
第一節 旅行成本法實證模型建構 44
一、旅行成本法理論基礎 44
二、計量實證模型 47
第二節 實證模型建構 53
一、 應變數選擇 53
二、 旅行成本計算 54
三、 模型建構 58
第三節 迴歸結果分析 60
第四節 計算遊憩效益 66
第五章 結論與建議 70
參考文獻 72
zh_TW
dc.format.extent 3627916 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G1032580251en_US
dc.subject (關鍵詞) 旅行成本法zh_TW
dc.subject (關鍵詞) 七股鹽田濕地zh_TW
dc.title (題名) 海岸濕地遊憩價值研究 -以台南七股鹽田溼地為例zh_TW
dc.title (題名) Recreational value of the Tainan Chiku Coastal Wetlanden_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 參考文獻
中文文獻
王文華(2008),「台灣地區自殺企圖者之重複自殺企圖次數統計模型探討」,政治大學
統計研究所碩士學位論文
內政部營建署(2016),『七股鹽田重要溼地(國家級)-保育利用計畫』,台北:內政部營
建署。
台南縣政府新聞處(2007),『南瀛新象月刊』,台南:台南縣政府新聞處。取自
http://ifo.tainan.gov.tw/Publish_Index.aspx?sYear=2007&sMon=8&sClass=1。
行政院主計處(2015),『人力資源調查統計年報』,台北:行政院主計處。
交通部統計處(2014),『自小客車使用狀況調查報告』,台北:交通部統計處。
交通部觀光局(2014),『國人旅遊狀況調查』,台北:交通部觀光局。
陳郁蕙、李俊鴻、陳雅惠(2011),「森林遊樂區遊客旅遊品質提昇之經濟效益評估
-以溪頭森林遊樂區為例」 [Evaluation of Economic Benefits from Visitor`s Ecotourism QualityImprovement in Forest Recreational Area-A Case of Chi-Tou Forest Recreational Area],農業經濟叢刊,16(2),1-40,doi: 10.6196/taer.2011.16.2.1。
洪貫捷、呂翊維(2015),「2015全球黑面琵鷺普查 臺灣結果大公開」,台北,中華民國
野鳥協會。取自http://www.bird.org.tw/index.php/news/cwbf/1005-2015-。
黃成輝、曾偉君(2006),「台灣沿海濕地以及紅樹林之遊憩效益」 [Valuing
Recreational Benefits of the Coastal Wetlands and Mangrove in Taiwan],觀光研究學報,12(1),43-66,doi: 10.6267/jtls.2006.12(1)3。
簡君芳(2015),「淡水河紅樹林濕地之遊憩價值評估-旅行成本法與條件行為法之應
用」,國立台北大學自然資源與環境管理研究所碩士論文。
鄭蕙燕(1998),「水鳥保護區遊客之時間價值估計」,農林學報,47(3),121-129。
鄭蕙燕、張偉祐、林政德(2000),「四草野生動物保護區遊客之遊憩效益與時間成
本:截斷式波爾生模型之應用」 [Recreational Benefits and Time Costs of Syh-Tsao Wildlife Sanctuary: An Application of Truncated Poisson Model],農業經濟半年刊,67,161-179。
錢玉蘭、林幸助、蕭代基、吳珮瑛(2016),『104至105年度國家重要濕地社會經濟價
值評估計畫』,內政部營建署委託計畫。
蕭代基(1987),「旅行成本法-投入需求函數或產出需求函數」,『中國經濟學會年會論
文集』,161-173。

蕭代基、鄭蕙燕、吳珮瑛、錢玉蘭、溫麗琪(2002),『環境保護之成本效益分析-理
論、方法與應用』。臺北市:俊傑。
謝奇明、楊捷婷(2014),「 太魯閣國家公園遊憩衝擊降低方案之經濟效益分析」,農
業經濟叢刊,19(2),65-94。

英文文獻
Barbier, E. B. (1994). Valuing environmental functions: tropical wetlands.
Land economics, 155-173.
Bishop, R. C., & Heberlein, T. A. (1979). Measuring values of extramarket
goods: Are indirect measures biased? American journal of agricultural economics, 61(5), 926-930.
Bockstael, N. E., Strand, I. E., & Hanemann, W. M. (1987). Time and the
recreational demand model. American journal of agricultural economics, 69(2), 293-302.
Brookshire, D. S., Thayer, M. A., Schulze, W. D., & d`Arge, R. C. (1982).
Valuing public goods: a comparison of survey and hedonic approaches. The American Economic Review, 72(1), 165-177.
Carr, L., & Mendelsohn, R. (2003). Valuing coral reefs: a travel cost
analysis of the Great Barrier Reef. AMBIO: A Journal of the Human Environment, 32(5), 353-357.
Curtis, J. A. (2002). Estimating the demand for salmon angling in Ireland.
Economic and Social Review, 33(3), 319-332.
Cochran, W. G. (2007). Sampling techniques: John Wiley & Sons.
Cesario, F. J. (1976). Value of time in recreation benefit studies. Land
economics, 52(1), 32-41.
Eiswerth, M. E., Englin, J., Fadali, E., & Shaw, W. D. (2000). The value of
water levels in water‐based recreation: A pooled revealed preference/contingent behavior model. Water Resources Research, 36(4), 1079-1086.
Englin, J., & Cameron, T. A. (1996). Augmenting travel cost models with
contingent behavior data. Environmental and Resource Economics, 7(2), 133-147.
Englin, J., & Cameron, T. A. (1996). Augmenting travel cost models with
contingent behavior data. Environmental and Resource Economics, 7(2), 133-147.


Freeman III, A. M., Herriges, J. A., & Kling, C. L. (2014). The measurement
of environmental and resource values: theory and methods: Routledge.
Fleming, C. M., & Cook, A. (2008). The recreational value of Lake McKenzie,
Fraser Island: An application of the travel cost method. Tourism Management, 29(6), 1197-1205.
Grossmann, M. (2011). Impacts of boating trip limitations on the
recreational value of the Spreewald wetland: a pooled revealed/contingent behaviour application of the travel cost method. Journal of Environmental Planning and Management, 54(2), 211-226. doi: 10.1080/09640568.2010.505827
Hanley, N., Bell, D., & Alvarez-Farizo, B. (2003). Valuing the benefits of
coastal water quality improvements using contingent and real behaviour. Environmental and Resource Economics, 24(3), 273-285.
Hawrylyshyn, O. (1976). THE VALUE OF HOUSEHOLD SERVICES: A SURVEY OF
EMPIRICAL ESTIMATES*. Review of Income and Wealth, 22(2), 101-103.
Haab, T. C., & McConnell, K. E. (2002). Valuing environmental and natural
resources: the econometrics of non-market valuation. Edward Elgar Publishing.
Hellerstein, D. (1992). Estimating consumer surplus in the censored linear
model. Land economics, 83-92.
Liu, W.-Y., Chiou, C.-R., & Lin, J.-C. (2014). Application of the travel
cost method to measure the urban forest park’s recreational value with first-visit satisfaction taken into account. Journal of Food, Agriculture & Environment, 12(2), 1013-1024.
Loomis, J. B. (1995). Four models for determining environmental quality
effects on recreational demand and regional economics. Ecological Economics, 12(1), 55-65. doi: http://dx.doi.org/10.1016/0921-8009(94)00020-V
McConnell, K. E., & Strand, I. (1981). Measuring the cost of time in
recreation demand analysis: an application to sportfishing. American Journal of Agricultural Economics, 63(1), 153-156.
Miaou, S.-P. (1994). The relationship between truck accidents and geometric
design of road sections: Poisson versus negative binomial regressions. Accident Analysis & Prevention, 26(4), 471-482.


Murphy, M. (1978). The value of nonmarket household production: opportunity
cost versus market cost estimates. Review of Income and Wealth, 24(3), 243-255.
Morgan, O. A , & Huth, W. L. (2011) Using revealed and stated preference
methods to value large ship artificial reefs:The Key West Vandenberg sinking. Preference data for environmental valuation: combining revealed and stated approaches, 139-156. : Routledge.
Orme, J. G., & Buehler, C. (2001). Introduction to multiple regression for
categorical and limited dependent variables. Social Work Research, 25(1), 49.
Odum, E. P. (1989). Ecology and our endangered life-support systems:
Sinauer Associates.
Rosen, H. S., & Small, K. A. (1979). Applied welfare economics with
discrete choice models: National Bureau of Economic Research Cambridge, Mass., USA.
Roth, C. E. (1992). Environmental Literacy: Its Roots, Evolution and
Directions in the 1990s. ERIC.
Russi, D., ten Brink, P., Farmer, A., Badura, T., Coates, D., Förster, J.,
Davidson, N. (2013). The economics of ecosystems and biodiversity for water and wetlands. IEEP, London and Brussels.
Schuyt, K., & Brander, L. (2004). Living Waters Conserving the source of
life. The economic value of the world’s wetlands.
Shaw, D. (1988). On-site samples` regression. Journal of Econometrics,
37(2), 211-223. doi: http://dx.doi.org/10.1016/0304-4076(88)90003-6
Shaw, D., Chien, Y.-L., & Lin, Y.-M. (1999). Alternative approach to
combining revealed and stated preference data: evaluating water quality of a river system in Taipei. Environmental Economics and Policy Studies, 2(2), 97-112.
Shrestha, R. K., Seidl, A. F., & Moraes, A. S. (2002). Value of
recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models. Ecological Economics, 42(1–2), 289-299. doi: http://dx.doi.org/10.1016/S0921-8009(02)00106-4
Smith, V. K. (1988). Selection and recreation demand. American Journal of
Agricultural Economics, 70(1), 29-36.
Simões, P., Barata, E., & Cruz, L. (2013). Joint estimation using revealed
and stated preference data: An application using a national forest. Journal of Forest Economics, 19(3), 249-266. doi: http://dx.doi.org/10.1016/j.jfe.2013.03.001
Tobin, J. (1958). Estimation of relationships for limited dependent
variables. Econometrica: journal of the Econometric Society, 24-36.

Turner, R. K., Burgess, D., Hadley, D., Coombes, E., & Jackson, N. (2007).
A cost–benefit appraisal of coastal managed realignment policy. Global Environmental Change, 17(3), 397-407.
Whitehead, J., Haab, T., & Huang, J.-c. (2011). Preference data for
environmental valuation: combining revealed and stated approaches (Vol. 31): Routledge.
Whitehead, J. C., Haab, T. C., & Huang, J.-C. (2000). Measuring recreation
benefits of quality improvements with revealed and stated behavior data. Resource and Energy Economics, 22(4), 339-354. doi: http://dx.doi.org/10.1016/S0928-7655(00)00023-3
Whitehead, J. C., Pattanayak, S. K., Van Houtven, G. L., & Gelso, B. R.
(2008). Combining revealed and stated preference data to estimate the nonmarket value of ecological services: an assessment of the state of the science. Journal of Economic Surveys, 22(5), 872-908.
Zhang, F., Wang, X. H., Nunes, P. A. L. D., & Ma, C. (2015). The
recreational value of gold coast beaches, Australia: An application of the travel cost method. Ecosystem Services, 11, 106-114. doi: http://dx.doi.org/10.1016/j.ecoser.2014.09.001
zh_TW