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浙江省森林康养品牌资源空间分布特征及其影响因素
引用本文:何思笑,张建国. 浙江省森林康养品牌资源空间分布特征及其影响因素[J]. 浙江农林大学学报, 2022, 39(1): 180-189. DOI: 10.11833/j.issn.2095-0756.20210103
作者姓名:何思笑  张建国
作者单位:1.浙江农林大学 风景园林与建筑学院,浙江 杭州 3113002.湖州师范学院 经济管理学院,浙江 湖州 313000
基金项目:浙江省科技厅公益技术研究农业项目(2016C32017);浙江省农业软科学研究项目(ZJNYRKXYJKT201604);浙江省自然科学基金资助项目(LY16C160008);丽水市重点科技创新团队项目(2018cxtd02);丽水市科技计划项目(2019GYX10)
摘    要:【目的】探究目前浙江省森林康养品牌资源空间分布特征及影响因素,为科学合理布局森林康养基地,充分利用及开发森林康养资源,实现供需有效对接,促进森林康养产业有序高效发展提供指导。【方法】以浙江省"中国森林康养基地""中国森林氧吧""浙江省森林康养基地"和"浙江省森林氧吧"共计134处森林康养品牌资源为对象,运用最邻近指数、地理集中指数、不平衡指数、核密度分析、缓冲区分析及Pearson相关性分析方法,探究浙江省森林康养品牌资源空间分布特征及影响其空间布局的自然及社会人文因素。【结果】浙江省内森林康养品牌资源空间分布整体为凝聚型,集聚趋势明显;市域层面来看,湖州市、丽水市、台州市及温州市为均匀型,杭州市、衢州市、金华市及绍兴市为凝聚型。森林康养品牌资源在各地级市内的分布并不均衡,根据各地级市所拥有的数量不同可划分为4个梯队,各梯队间存在较大差异。核密度分析发现:不同区域内森林康养品牌资源分布存在较大差异,可划分为以湖州市安吉县为主的大核区,湖州市长兴县、杭州市桐庐县、丽水市龙泉市为主的次核区以及以衢州市江山市、金华市义乌市、绍兴市新昌县为主的小核区;森林康养品牌资源空间分布特征受地形、森林覆...

关 键 词:森林康养  品牌资源  空间分布特征  影响因素  浙江省
收稿时间:2021-01-12

Spatial distribution characteristics and influencing factors of forest health care brand resources in Zhejiang Province
HE Sixiao,ZHANG Jianguo. Spatial distribution characteristics and influencing factors of forest health care brand resources in Zhejiang Province[J]. Journal of Zhejiang A&F University, 2022, 39(1): 180-189. DOI: 10.11833/j.issn.2095-0756.20210103
Authors:HE Sixiao  ZHANG Jianguo
Affiliation:1.College of Landscape Architecture, Zhejiang A&F University, Hangzhou 311300, Zhejiang, China2.School of Economics & Management, Huzhou University, Huzhou 313000, Zhejiang, China
Abstract:  Objective  The objective of this study is to scientifically and rationally arrange the forest health care base, realize the effective connection between supply and demand, and promote the orderly development of the forest health care industry.  Method  A total of 134 forest health care brand resources in Zhejiang Province were selected as the research objects, including China Forest Health Care Base, China Forest Oxygen Bar, Zhejiang Forest Health Care Base, and Zhejiang Forest Oxygen Bar. By using the nearest neighbor index, geographical concentration index, imbalance index, kernel density analysis, buffer analysis and Pearson correlation analysis, this paper explored the spatial distribution characteristics of forest health care brand resources in Zhejiang Province and the natural, social and human factors affecting their spatial distribution.  Result  The spatial distribution of forest health care brand resources in Zhejiang Province was agglomerated as a whole, and the agglomeration trend was obvious. At the municipal level, Huzhou, Lishui, Taizhou and Wenzhou were homogeneous, while Hangzhou, Quzhou, Jinhua and Shaoxing were agglomerative. The distribution of forest health care brand resources in different cities was not balanced. According to the number of health care bases owned by different cities, they could be divided into four echelons with great differences. Kernel density analysis showed that there were differences in the distribution of forest health care brand resources in different regions, which could be divided into large core area dominated by Anji of Huzhou City, sub-core area dominated by Changxing of Huzhou City, Tonglu of Hangzhou City and Longquan of Lishui City, and small core area dominated by Jiangshan of Quzhou City, Yiwu of Jinhua City and Xinchang of Shaoxing City. The factors affecting the spatial distribution characteristics of forest health care brand resources were topography, forest coverage rate, water system, socio-economic foundation, traffic accessibility, and central city correlation.  Conclusion  Due to the comprehensive influence of natural and human factors, the brand resources of forest health care in Zhejiang Province are unevenly distributed among cities, and there are great differences in the development process of forest health care industry. Topography, forest coverage rate and water system affect the landscape base and ecological environment in the development and construction of forest health care resources and industry. Socio-economic foundation, traffic accessibility and the degree of correlation with the central city are related to its economic support, market potential and accessibility. In the future development of forest health care industry in this province, it is necessary to further combine policy support, market investigation, reasonable planning and resource integration to achieve the goals of global layout, integration promotion, and standardized management. [Ch, 5 fig. 1 tab. 23 ref.]
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