Vulnerability Characteristics and Influencing Factors of Social-Economic- Ecological System of Tourist Destination in Beijing- Tianjin-Hebei Ecological Conservation Area
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Vulnerability Characteristics and Influencing Factors of Social-Economic- Ecological System of Tourist Destination in Beijing- Tianjin-Hebei Ecological Conservation Area
Bulletin of Soiland Water ConservationVol. 40, Issue 4, Pages: 211-218(2020)
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:
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.
Vulnerability Characteristics and Influencing Factors of Social-Economic- Ecological System of Tourist Destination in Beijing- Tianjin-Hebei Ecological Conservation Area
[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
Janssen M A, Schoon M L, Ke W, et al. Scholarly networks on resilience, vulnerability and adaptation within the human dimensions of global environmental change[J]. Global Environmental Change, 2006,16(3):240-252.
Kurniawan F, Adrianto L, Bengen D G, et al. Vulnerability assessment of small islands to tourism:The case of the Marine Tourism Park of the Gili Matra Islands, Indonesia[J]. Global Ecology and Conservation, 2016,6(C):308-326.