Li Zhu, Wang Zhao-Feng, Wu Wei
College of Tourism, Hunan Normal University, Changsha 410081, China.
Ying Yong Sheng Tai Xue Bao. 2022 Jan;33(1):180-190. doi: 10.13287/j.1001-9332.202201.020.
Clarifying the regional natural capital utilization and its spatial effects and influencing factors has important theoretical and practical significance for regional sustainable development. Here, we used a three-dimensional ecological footprint model, exploratory spatial data analysis, a spatial Markov chain, and a spatial panel Durbin model to explore the spatial effects and influencing factors of overall and subcategory natural capital flow and stock occupancy of 112 prefecture-level cities in the Yangtze River Economic Belt from 2008 to 2018. The results showed that the total, per capita, and subcategory natural capital flow and stock occupancy increased during the study period. Most of the regions with low overall and subcategory natural flow occupancy were located in the East, whereas most of the regions with high overall and subcategory natural flow occupancy were mostly located in the Central and Wes-tern area. However, their stock occupancy behaved differently. Except for farmland stock, the overall and subcategory natural capital flow and stock occupancy showed spatial agglomeration. The traditional and spatial Markov chain presented a "Matthew effect" and a "spatial spillover effect" in natural capital flow and stock occupancy. Economic growth and industrial structure positively affected natural capital flow and stock occupancy. Population growth positively affected natural capital flow occupancy. Urbanization rate negatively affected natural capital flow occupancy, and positively impacted natural capital stock occupancy. Government intervention negatively affected the farmland flow and fossil fuels land stock occupancy. Environmental governance negatively affected the natural capital flow occupancy, but positively affected the natural capital stock occupancy. Environmental pollution positively affected natural capital flow and stock occupancy.
厘清区域自然资本利用及其空间效应和影响因素，对区域可持续发展具有重要的理论和现实意义。在此，我们运用三维生态足迹模型、探索性空间数据分析、空间马尔可夫链和空间面板杜宾模型，探究了2008—2018年长江经济带112个地级市整体及子类别自然资本流量与存量占用的空间效应和影响因素。结果表明，研究期间整体、人均及子类别自然资本流量与存量占用均有所增加。整体及子类别自然流量占用较低的地区大多位于东部，而整体及子类别自然流量占用较高的地区大多位于中部和西部。然而，它们的存量占用表现有所不同。除农田存量外，整体及子类别自然资本流量与存量占用呈现空间集聚。传统马尔可夫链和空间马尔可夫链在自然资本流量与存量占用方面呈现出“马太效应”和“空间溢出效应”。经济增长和产业结构对自然资本流量与存量占用产生正向影响。人口增长对自然资本流量占用产生正向影响。城市化率对自然资本流量占用产生负向影响，对自然资本存量占用产生正向影响。政府干预对农田流量和化石燃料土地存量占用产生负向影响。环境治理对自然资本流量占用产生负向影响，但对自然资本存量占用产生正向影响。环境污染对自然资本流量与存量占用产生正向影响。
