| It becomes a consensus that urban green space, parks, scenic areas of lakes and otheropen space have improved the urban residential environment quality significantly, andaffected the price. However, in the process of the construction of urban housing marketproblems of irrational development and protection of natural resources are still excisting.On the one hand, natural resources are excessivly converted to other land use, especiallylakes and green space, and on the other hand, the benefit generated by the natural landscapeof real estate development is not allocated rationally, which is possessed by owners andusers around real estates freely. What’s worse, this benefit doesn’t make any contribution tothe development of itself or other utilities in that district. As the public goods andnon-commodity, the value of the natural landscape is difficult to be evaluated by usingtraditional economic approach. In the traditional approach is still weak in how to qualifyand reveal the effect of the quality of natural environment resources for urban housingprices.So in this pape the East Lake, South Lake, Sand Lake, Ink Lake and Northwest Lakewere chosen. All of these lakes are located in the main city of Wuhan, and1631data whichis located around lakes were collected. After this,19major factors were selected such asbuilding characteristics, location characteristics, neighborhood characteristics and so on.Based on the hedonic price model and with the help of GIS software, non-market values oflake landscape for adjacent residential prices was quantitatively analyzed.. Further more,the price elasticity of characteristics and the influence distance gradient was analyzed. Theresults show that: urban lake landscape has significant positive impacts on the surroundingresidential prices.Its distance gradient of influence is gradually decreased as the distanceincreasing. However, its weakening amplitude is also gradually reduced. Water areas, greenareas and water quality among them are not the same, so the lakes’ influence on adjacentresidential prices is different. In conclusion, the East Lake landscape has the most influenceon adjacent residential prices, the Northwest Lake landscape has the least influence, andinfluence of the South Lake landscape is slightly larger than the Sand Lake and Ink Lake.Under the condition of keeping other characteristics variables constant, the water area oflake for each additional unit plus one, and the residential prices around increase by0.1%.When the water quality gets worse, the surrounding residential price will reduced. Analyzing the lake landscape non-market values of the surrounding residential prices couldlay the foundation of science. This research could support the formulation of real estate taxpolicy, help to establish urban benchmark land price system, improve urban planning, andenvironmental protection. Both of development and protection of resources need urbanmanagers’s attention, in order to promote development of city orderly. |
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