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Despite the economic valuation of forest park resources has triggered a great deal of interest to the research community and park management, up to now no attention has been paid to the effect of psychological factors such as tourist satisfaction, which could potentially play a considerable role in contributing to the park resource valuation. This article attempts to fill this niche by carrying out a study on the economic valuation of the Xian-Ren-Tai National Forest Park in China, taking consideration of the tourist satisfaction. In the process, the choice experiment survey was used for data collection. Then, both conditional logit (CL) and random parameter logit models were used in parameter estimations to examine the factors that could potentially impact on the tourists’ willingness to pay. Results indicate that the tourists attach the greatest importance to the park’s natural environment and traffic conditions, and yet the level of tourists’ satisfaction on their tourism experience plays a big part in explaining the valuation results. Tourists who uphold a high level of satisfaction tend to pay more for the park attribute improvement than those with less satisfaction ones. The estimated compensating variation of the overall current park attributes has reached ¥184.95 per person per trip, of which 12.83% shall be attributable to the tourist satisfaction.

It has been well recognized that the urban landscape ecosystem is able to make a great contribution to the quality of life for people who live in the city and beyond, thus it can potentially accrue a significant economic value to the human well-being. However, due to its public good nature, it is difficult to monetizing its values in a systematic manner. In this paper, we attempt to assess the economic value of the urban landscape through people's life satisfaction approach utilizing a large sample of dataset complied from the general public survey in Dalian City which is one of the well-known tourism cities in China. The results indicate that most of the urban landscape attributes impose significant effects on people's life satisfaction, thus accruing a considerable amount of value to the local residents. Taking a 10-point ranking scale for the urban landscape quality as an example, the household willingness to pay on average reaches ¥24,579 per annum for one point of ranking level increase. Relative to the low level of household income, those high-income households are much keener to the changes of the landscape quality. If the urban landscape quality is disaggregated into five levels, household's marginal willingness-to-pay diminishes as the urban landscape's rank level is improved.

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