Journal of Guangxi Normal University(Natural Science Edition) ›› 2023, Vol. 41 ›› Issue (4): 178-188.doi: 10.16088/j.issn.1001-6600.2022071902

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Dynamic Changes and Driving Forces Analysis of Ecological Footprint in Guilin, China, from 2009 to 2018

LI Qian1,2,3, MA Jiangming1,2,3*   

  1. 1. Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin Guangxi 541006, China;
    2. Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin (Guangxi Normal University), Guilin Guangxi 541006, China;
    3. Institute for Sustainable Development and Innovation, Guangxi Normal University, Guilin Guangxi 541006, China
  • Received:2022-07-19 Revised:2022-09-23 Online:2023-07-25 Published:2023-09-06

Abstract: Guilin City is an innovative demonstration area of the National Sustainable Development Agenda. Clarifying the evolution characteristics and driving mechanism of its ecological footprint can effectively promote the sustainable development of Guilin City. Based on the three-dimensional ecological footprint model, this paper analyzes the dynamic changes of Guilin’s ecological footprint from 2009 to 2018, and uses the partial least squares method to reveal the factors that affect the dynamic changes of ecological footprint. The research results showed that: 1) The per capita ecological carrying capacity of Guilin was relatively stable from 2009 to 2018. The per capita ecological footprint first increased and then decreased, reaching a peak of 1.859 hm2/person in 2015. The per capita ecological deficit first increases and then decreases, and the ecosystem is overloaded due to excessive resource consumption. 2) From 2009 to 2018, the per capita footprint of Guilin remained basically unchanged. The per capita footprint depth first increased and then decreased, reaching the maximum value in 2015. During the study period, the per capita footprint depth was greater than 1. 3) The stock-to-flow utilization ratio and the ecological pressure index both increased first and then decreased. The stock-to-flow utilization ratio was at a peak in 2014, and the ecological stress index peaked in 2017. 4) City scale has a significant negative driving effect on the ecological footprint. Economic development and social consumption have a positive driving effect on the ecological footprint, the added value of the secondary industry has a significant impact, and the regional GDP, the added value of the primary industry and the per capita disposable income of urban residents have an important impact on the ecological footprint.

Key words: three dimensional ecological footprint, utilization of natural capital, partial least squares method, driving mechanism, Guilin, China

CLC Number:  X22
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