How to Coordinate the Relationship between Urban Space Exploitation, Economic Development, and Ecological Environment: Evidence from Henan Province, China

被引:1
|
作者
Xie, Xiaotong [1 ]
Wu, Kunlin [2 ]
Li, Yingchao [1 ]
Guo, Shanshan [1 ]
Li, Xiaoshun [3 ,4 ]
机构
[1] Henan Agr Univ, Coll Resources & Environm, Zhengzhou 450002, Peoples R China
[2] Second Inst Resources & Environm Invest Henan Prov, Luoyang 471023, Peoples R China
[3] China Univ Min & Technol, Res Ctr Transit Dev & Rural Revitalizat Resource B, Xuzhou 221116, Peoples R China
[4] China Univ Min & Technol, Sch Publ Policy & Management, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
space exploitation; economic development; ecological environment; coupling coordination; cooperation/trade-off; Henan province; SPATIOTEMPORAL DIFFERENTIATION; ECOSYSTEM SERVICES; TRADE-OFFS; URBANIZATION; SPRAWL; OPTIMIZATION; SYNERGIES; PATTERN; BASIN; MODEL;
D O I
10.3390/land13040537
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the rapid development of urbanization, China is facing problems, such as uncoordinated regional development, imbalanced land space development, and ecological environment pollution. This poses a huge threat to the sustainable development of China's economy and society. Therefore, there is an urgent need to determine how to coordinate the relationship between the space exploitation, economic development, and ecological environment (SEE) of urban areas. In this study, taking the Henan Province as an example, long time-series data (2000-2020) were used, at a city scale. Then, we developed a logical framework to reveal the interrelationship and intrinsic mechanism between SEE. Next, we explored the spatiotemporal coupling characteristics of SEE using a linear weighting method and a coupling coordination analysis. We found that, from 2000 to 2020, the comprehensive level of SEE showed an obvious trend of change, and different cities have different coupling coordination degrees. However, the overall coupling coordination level is steadily developing and tending to improve. Furthermore, with the spatial autocorrelation method, we analyzed spatial correlation patterns and collaboration/trade-off relationships for SEE. Through the analysis, positive correlation types (HH, LL) cluster significantly and negative correlation types (HL, LH) have low clustering. Meanwhile, we found significant spatial differences in cooperation/trade-off relationships between different years. This research can serve as a reference and as methodological guidance for achieving coordination and sustainable development of the economy, space, and environment.
引用
收藏
页数:20
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