The spatial spillover effect of transportation networks on ecological footprint

The spatial spillover effect of transportation networks on ecological footprint
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交通网络对生态足迹的空间溢出效应

DOI:
10.1016/j.ecolind.2021.108309
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发表时间:
2021-12
影响因子:
6.9
通讯作者:
Wang PR
Wang PR
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Lv T;Zeng C;Stringer L C;Yang J;Wang PR

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在全球快速城市化和区域发展的背景下,高效合理的交通网络空间布局对实现可持续发展至关重要。在本研究中,我们使用调整后的三维生态足迹模型(EF3D)来评估区域的可持续发展。我们在2010年和2017年探索了交通网络对长江中游城市群EF3D的驱动因素和空间影响,中国,将STIRPAT模型和空间计量经济模型与交通网络整合在研究框架中。结果表明,从2010年到2017年,EF3D下降了1.46%。尽管UAMRYR可持续发展总体水平有所提高,但2017年仍有94.69%的县级单位处于生态超调状态。此外,人口密度、人均GDP和非第三产业比重对EF3D有正向局部影响。在县域层面,EF3D具有正的空间自相关性,并通过交通网络证实了EF3D的空间溢出效应,表明交通网络的空间影响是解释EF3D的重要因素。人口密度和人均GDP分别具有负的和正的间接空间效应。未来应完善交通系统功能,转移城市人口压力,增加自然资本弹性,降低生态足迹,最终实现均衡发展。
In the context of rapid urbanization and regional development worldwide, the efficient and rational spatial distribution of transportation networks is vitally important in achieving sustainable development. In this study, we used an adjusted three-dimensional ecological footprint model (EF3D) to assess regional sustainable development. We explored the driving factors and spatial influence of transportation networks on the EF3Din the urban agglomerations in the middle reaches of the Yangtze River (UAMRYR), China, in 2010 and 2017, integrating the STIRPAT model and spatial econometric model alongside the transportation network in the research framework. The results show that the EF3Dhas been reduced by 1.46% from 2010 to 2017. Although the overall level of sustainable development in UAMRYR has improved, 94.69% of the county units were still in ecological overshoot in 2017. In addition, population density, GDP per capita and the proportion of non-tertiary industries had positive local influences on EF3D. At the county level, EF3Dhad positive spatial autocorrelation, and the spatial spillover effect of EF3Dwas confirmed through the transportation network, indicating that the spatial influence of the transportation network was an important factor in explaining EF3D. Population density and GDP per capita had negative and positive indirect spatial effects, respectively. In the future, the function of transportation systems should be improved to transfer the population pressure of cities and increase natural capital flexibility to reduce the EF and ultimately achieve balanced development.
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