Sustainable Population Size at the County Level under Limited Development Policy Constraints: Case Study of the Xihaigu Mountain Area, Northwest China

Int J Environ Res Public Health. 2022 Aug 3;19(15):9560. doi: 10.3390/ijerph19159560.

Abstract

Understanding the extent to which demographic changes may affect the prospects of sustainable development is a priority for both academics and policy makers. Accordingly, we attempted to explore the population growth limit of the Xihaigu Mountain area in China. To analyze the optimum population at the county level, the relationship curve between population size and environmental quality was fitted using panel data (2009-2018). The sustainable population size of each county was determined by integrating the population carrying capacity of land resources and optimum population. The results show that the relationship between regional population size and environmental quality conforms to an inverted N-shaped curve. To maintain sustainable development, the population size of Tongxin, Xiji, and Haiyuan should be in the range of 320,800-379,800, 315,800-416,900, and 333,500-416,900, respectively. The current population size of other counties should be maintained, and their surplus construction lands are acceptable to be used for environmentally friendly industries rather than population expansion. We demonstrated a practical approach to calculate a dynamic range of population size under the dual constraints of resource and environment, which overcomes the shortcoming of only considering the maximum carrying capacity to a limited extent. We also identified the population boundary in a "steady-state economy" and quantified planetary boundaries of population in Xihaigu Mountain area using a dynamic sustainable population size. The findings provide decision-making references for the local government.

Keywords: Xihaigu Mountain area; environmental quality; limited development ecological zone; population carrying capacity; population size; sustainable development.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Conservation of Natural Resources* / methods
  • Population Density
  • Population Growth
  • Sustainable Development*

Grants and funding

This research was funded by the “National Natural Science Foundation of China”, grant number “42161050”; “National Natural Science Foundation of China”, grant number “41761116”; “National Natural Science Foundation of China”, grant number “42001251”; and “China Postdoctoral Science Foundation”, grant number “2021M692003”.