1. 河北北方学院 生态建设与产业发展研究中心,河北,张家口,075000
2. 河北工业大学 经济管理学院,天津,300401
3. 武威市林业综合服务中心,甘肃,武威,733000
4. 武威市科技咨询服务中心,甘肃,武威,733000
纸质出版:2020
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孔伟, 任亮, 刘璐, 等. 京津冀生态涵养区旅游地社会-经济-生态系统脆弱性特征及其影响因素[J]. 水土保持通报, 2020,40(4):211-218.
Kong Wei, Ren Liang, Liu Lu, et al. Vulnerability Characteristics and Influencing Factors of Social-Economic- Ecological System of Tourist Destination in Beijing- Tianjin-Hebei Ecological Conservation Area[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 211-218.
孔伟, 任亮, 刘璐, 等. 京津冀生态涵养区旅游地社会-经济-生态系统脆弱性特征及其影响因素[J]. 水土保持通报, 2020,40(4):211-218. DOI: 10.13961/j.cnki.stbctb.2020.04.029.
Kong Wei, Ren Liang, Liu Lu, et al. Vulnerability Characteristics and Influencing Factors of Social-Economic- Ecological System of Tourist Destination in Beijing- Tianjin-Hebei Ecological Conservation Area[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 211-218. DOI: 10.13961/j.cnki.stbctb.2020.04.029.
[目的] 对京津冀生态涵养区旅游地社会—经济—生态系统脆弱性特征及其影响因素进行分析,为该区旅游地降低脆弱性,实现可持续发展提供科学参考。[方法] 基于社会、经济、生态子系统构建京津冀生态涵养区旅游地脆弱性综合评价体系。同时,引入线性加权法、自然断点法、障碍度模型对2017年京津冀生态涵养区23个县域单元旅游地脆弱性特征及影响因素进行分析。[结果] 研究区综合脆弱性指数均值为0.271 0,呈现轻度脆弱状态;各研究单元的社会脆弱性、经济脆弱性、生态脆弱性指数分布具有明显的空间差异,且较为集中;单位面积粮食产量、城乡收入差距比、产业结构多样化指数、人均可支配收入、乡村从业人员是阻碍涵养区旅游地脆弱性降低的主要因素。[结论] 目前,研究区整体可持续发展能力较好,通过对其脆弱性影响因素的有效识别,提出紧抓发展机遇,缩小城乡差距,优化产业结构,强化区域联动等对策。
[Objective] The vulnerability and influencing factors of the social-economic-ecological system at tourism destinations in the Beijing-Tianjin-Hebei ecological conservation area were analyzed in order to provide a scientific support for reducing vulnerability and achieving sustainable development of the tourism destinations in the area. [Methods] Based on the social
economic and ecological subsystems
a comprehensive evaluation system of the vulnerability of tourism destinations in Beijing-Tianjin-Hebei ecological conservation area was constructed. Linear weighting method
natural breakpoint method and obstacle degree model were introduced to analyze the vulnerability and influencing factors of 23 county-level unit tourism destinations in Beijing-Tianjin-Hebei ecological conservation area in 2017. [Results] The average value of the comprehensive vulnerability index of the study area was 0.271 0
showing a mild vulnerability state. The distribution of social vulnerability
economic vulnerability and ecological vulnerability index of each study unit had obvious spatial differences
and was spatially concentrated. The grain output per unit area
urban-rural income gap ratio
industrial structure diversification index
per capita disposable income
and rural employees were the main factors influencing the vulnerability of tourism destinations in conservation areas. [Conclusion] At present
the overall sustainable development capacity of the study area is relatively good. Through the effective identification of factors influencing its vulnerability
countermeasures and suggestions
including grasping development opportunities
narrowing the gap between urban and rural areas
optimizing industrial structure and strengthening regional linkages
should be considered.
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