The economic impact of tourism in Xinghai park, china: A travel cost value analysis Using count data regression models

Erda Wang; Zuozhi Li; Bertis B. Little; Yu Yang

doi:10.5367/000000009788254287

The economic impact of tourism in Xinghai park, china: A travel cost value analysis Using count data regression models

Erda Wang, Zuozhi Li, Bertis B. Little, Yu Yang

Faculty of Economics

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

Using the travel cost method, the authors measure the recreational trip value of Xinghai Park in Dalian, China. They compare nonlinear, truncated Poisson and truncated negative-binomial count data models to estimate recreational trip demand. The economic values of recreational trips in terms of consumer surplus (CS) are derived from each model. They estimate the CS values at between RMB ¥493 (US$64) to RMB ¥562 (US$73) per trip, resulting in a total social welfare estimate in the range from RMB ¥1.08 billion to RMB ¥1.23 billion (US$140 million to US$160 million in 2007).

Original language	English
Pages (from-to)	413-425
Number of pages	13
Journal	Tourism Economics
Volume	15
Issue number	2
DOIs	https://doi.org/10.5367/000000009788254287
Publication status	Published - Jun 2009

All Science Journal Classification (ASJC) codes

Geography, Planning and Development
Tourism, Leisure and Hospitality Management

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10.5367/000000009788254287

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title = "The economic impact of tourism in Xinghai park, china: A travel cost value analysis Using count data regression models",

abstract = "Using the travel cost method, the authors measure the recreational trip value of Xinghai Park in Dalian, China. They compare nonlinear, truncated Poisson and truncated negative-binomial count data models to estimate recreational trip demand. The economic values of recreational trips in terms of consumer surplus (CS) are derived from each model. They estimate the CS values at between RMB ¥493 (US$64) to RMB ¥562 (US$73) per trip, resulting in a total social welfare estimate in the range from RMB ¥1.08 billion to RMB ¥1.23 billion (US$140 million to US$160 million in 2007).",

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AU - Yang, Yu

PY - 2009/6

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N2 - Using the travel cost method, the authors measure the recreational trip value of Xinghai Park in Dalian, China. They compare nonlinear, truncated Poisson and truncated negative-binomial count data models to estimate recreational trip demand. The economic values of recreational trips in terms of consumer surplus (CS) are derived from each model. They estimate the CS values at between RMB ¥493 (US$64) to RMB ¥562 (US$73) per trip, resulting in a total social welfare estimate in the range from RMB ¥1.08 billion to RMB ¥1.23 billion (US$140 million to US$160 million in 2007).

AB - Using the travel cost method, the authors measure the recreational trip value of Xinghai Park in Dalian, China. They compare nonlinear, truncated Poisson and truncated negative-binomial count data models to estimate recreational trip demand. The economic values of recreational trips in terms of consumer surplus (CS) are derived from each model. They estimate the CS values at between RMB ¥493 (US$64) to RMB ¥562 (US$73) per trip, resulting in a total social welfare estimate in the range from RMB ¥1.08 billion to RMB ¥1.23 billion (US$140 million to US$160 million in 2007).

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The economic impact of tourism in Xinghai park, china: A travel cost value analysis Using count data regression models

Abstract

All Science Journal Classification (ASJC) codes

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