| Title | Evaluation and influencing factors of resources and environment carrying capacity of Guangdong-Hong Kong-Macao Greater Bay Area Economic Belt |
|---|---|
| ID_Doc | 33544 |
| Authors | Zhang, HQ; Zhang, GQ |
| Title | Evaluation and influencing factors of resources and environment carrying capacity of Guangdong-Hong Kong-Macao Greater Bay Area Economic Belt |
| Year | 2024 |
| Published | |
| Abstract | The carrying capacity of urban resources and environment is an important yardstick to measure the sustainable development of a city, and it is also an important indicator to measure the degree of synergy between urban economic development and the environment. The main objective of this paper is to evaluate the economic, social, resource and environmental system carrying capacity of the cities in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Economic Belt by building a state space model, so as to lay a theoretical foundation for promoting the green and sustainable development of the urban agglomeration in the GBA. The following conclusions were reached: (1) The resource and environmental carrying capacity of the 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area is generally overloaded and shows an "N" distribution pattern. (2) The level of the city's opening to the outside world, the government's management ability, the investment of science and technology funds, and the industrial development are the main factors that affect the resource and environmental carrying capacity of the urban agglomeration. (3) The regression analysis results of the economic and social subsystems and resource subsystems of the 11 cities in the Guangdong-Hong Kong-Macao Greater Bay Area are consistent with the results of the overall system of resource and environmental carrying capacity. The spatial differentiation characteristics are weakened, but the spatial differentiation characteristics of the resource and environmental carrying capacity of the environmental subsystem are gradually obvious. The innovation of this paper is that we can see the state of the resource and environment carrying capacity of the urban agglomeration in the Guangdong-Hong Kong-Macao Greater Bay Area by building a state space model. Using GIS geographic mapping technology, we can clearly see the dynamic changes of urban agglomeration during the 10-year period and realize the unification of space-time evolution. |
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