Can new urbanization and ecological environment achieve synergistic development? Empirical evidence from 63 counties in Zhejiang, China

被引:3
|
作者
Ma, Lindong [1 ,2 ]
Xu, Weixiang [1 ]
Hong, Yuanxiao [2 ]
He, Shouchao [3 ]
Liu, Chenjun [4 ]
Ning, Qian [5 ]
机构
[1] Zhejiang Univ Technol, Sch Management, Hangzhou 310023, Peoples R China
[2] Zhejiang Normal Univ, Xingzhi Coll, Jinhua 321100, Peoples R China
[3] Wenzhou Univ Technol, Sch Econ & Management, Wenzhou 325027, Peoples R China
[4] Zhejiang Univ Technol, Zhijiang Coll, Shaoxing 312030, Peoples R China
[5] Zhejiang Normal Univ, Coll Humanities, Jinhua 321000, Peoples R China
来源
PLOS ONE | 2023年 / 18卷 / 09期
关键词
ECO-ENVIRONMENT; COORDINATION; EFFICIENCY;
D O I
10.1371/journal.pone.0291867
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As China's urbanization accelerates, ecological environmental issues have become increasingly prominent, and how to achieve the synergistic development of urbanization and ecological environment is worth exploring. The paper uses the Super-SBM model and the improved entropy method to calculate the ecological efficiency and the new urbanization in 63 counties in Zhejiang Province from 2000 to 2019. Furthermore, the coupling coordination degree between new urbanization and ecological efficiency is discussed with the coupling degree model, Markov chain, and spatial correlation methods, and its influencing factors are explored by the geographic detector. The results show that: (1) The development trends of new urbanization and ecological efficiency in Zhejiang Province counties both present a "U" shape. Their inflection points appeared in 2005 and 2006, respectively. The gap between counties is gradually narrowing. (2) The coupling coordination degree between new urbanization and ecological efficiency in Zhejiang Province counties also develops in a "U" shape with the minimum value appearing in 2006. Its temporal evolution is dominated by advancement towards a higher level and maintenance of the original type, with most countries advancing from General Disorder to Preliminary Coordination. There is a good positive correlation in the spatial distribution, showing significant High-High and Low-Low agglomeration. (3) In detecting the driving factors, the explanatory power of economic development, natural conditions and social conditions diminishes sequentially. The interaction groups mostly are nonlinear enhancements, and the rest are all two-factor enhancements. Social factors are the main interaction objects. (4) The empirical analysis verified the efficacy of the "Two Mountains" theory and the importance of government investment in the regional coordinated development.
引用
收藏
页数:29
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