中文摘要：

城市生态景观对提升城市生活品质有显著贡献。由于城市生态景观存在形式的多样性，导致了定量估算城市生态景观的非市场价值所依据的方法存在一定差异。作者选择南京市著名的湖景一莫愁湖作为样本，应用Hedonic住宅价格模型P=f（L，S，N）定量估算了特定的湖景对住宅价格的影响。模型包含了区位特征变量（公交线路数量）、建筑特征变量（面积、卧室数量、装修标准等）以及邻里景观特征（是否临街、是否看到湖景、能否进入湖边、与湖的距离）变量等。结果表明：莫愁湖对周边住宅价格有显著的正向影响，湖景的舒适性价值或生态服务价值在住宅价格中所占比例达到13％左右。显化生态景观的舒适性价值和生态服务价值等主观价值可以为开征环境税，制定城市控制性详细规划及土地规划，优化土地利用结构与功能，合理地布局城市空间等提供可靠的理论依据和实证支撑。

英文摘要：

Urban ecological landscape features such as water bodies, parks and green spaces provide environmental amenities and services that contribute fundamentally to the quality of life of urban citizens. Most empirical studies on the value of various landscapes have focused on developed countries where markets function well, while literature on this issue in the developing world is very limited. There are two main reasons for this： First, people in developing countries usually focus on food or clothes rather than the value of landscapes, so it is commonly ignored by local residents. Second, due to both market failures and government failures, the value of landscapes have not been captured and distributed properly. Therefore, it is essential to accurately assess the social benefits generated by various landscapes in terms of making rational public policy and smart urban land use planning in developing countries. Due to the diversity of urban landscapes and market failure in assessing social gains, various methods have been developed to evaluate non-market values of landscapes. The hedonic price model, derived mostly from Lancaster＇s consumer theory and Rosen＇s model, posits that a good possesses a number of attributes that combine to form bundles of utility-affecting attributes that the consumer values, it has been employed by previous empirical studies to capture the effects of location, structure, and neighborhood-related housing attributes on property prices. This study explored the impacts of lake landscape on residential house values in the Mochou Lake district of Nanjing using a hedonic price model, which involves location attribute variables, structural attribute variables and neighborhood attribute variables. Based on data from 190 samples, we conclude that the environmental amenities created by Mochou Lake raised apartment prices in the surrounding area by an average of 12.81%. This paper demonstrates that hedonic price method can be successfully applied in the context of developing countries, and