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1 June 2013 Aesthetic Perception of Residential Landscapes in Nujiang Lisu Autonomous Prefecture, Yunnan Province
Fan Jie, Hu Wangshu, Chen Dong, Sun Wei
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Abstract

The aesthetic perceptions of local residents towards residential landscapes are significant to the protection and sustainable development of regional landscapes, especially in underdeveloped areas with landscape resources of higher aesthetic value. Using Nujiang Lisu Autonomous Prefecture in Yunnan Province as a case study, we conducted questionnaires with 620 local residents and a logistic regression model to determine aesthetic perceptions and factors affecting these perceptions. We found that local residents in Nujiang hold a relatively high perception of their residential landscapes. A majority of respondents, 75.81%, believe their residential landscapes are beautiful. Eight factors were found to influence the aesthetic perception. In direct influential factors, administrative village located in the protected areas and the standard deviation of the elevation around the administrative village have positive influence; distance from administrative village to county town, the ecological environment has changed in recent years, whether tourism development has a negative impact and wish to live in the city have negative influence. In indirect influential factors, both residential house type and have a television at home have positive influence. Based on these results, we discussed relevant policy suggestions to maintain the aesthetic perceptions held by local residents of their residential landscapes and promote the protection and sustainable development of this valuable landscape in Nujiang.

Fan Jie, Hu Wangshu, Chen Dong, and Sun Wei "Aesthetic Perception of Residential Landscapes in Nujiang Lisu Autonomous Prefecture, Yunnan Province," Journal of Resources and Ecology 4(2), 157-164, (1 June 2013). https://doi.org/10.5814/j.issn.1674-764x.2013.02.008
Received: 18 February 2013; Accepted: 1 May 2013; Published: 1 June 2013
KEYWORDS
aesthetic perceptions
influential factors
logistic regression model
Nujiang Lisu Autonomous Prefecture
residential landscapes
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