文章基本信息

标题：Study on the Evolution of the Spatial-Temporal Pattern and the Influencing Mechanism of the Green Development Level of the Shandong Peninsula Urban Agglomeration
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作者：Jiang, Shuguang ; Yu, Huilu ; Li, Zehong 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2022
卷号：14
期号：15
页码：1-16
DOI：10.3390/su14159549
语种：English
出版社：MDPI, Open Access Journal
摘要：Improving the level of green development is an inevitable requirement for promoting the construction of an ecological civilization. In this paper, through a green development level evaluation index system, the CRITIC weight method is used to comprehensively evaluate and analyze the green development level of the Shandong Peninsula Urban Agglomeration from 2007 to 2019. On this basis, a panel data model was constructed to analyze the key influencing factors of the green development level of the Shandong Peninsula Urban Agglomeration. Studies have shown that (1) the level of green development in the Shandong Peninsula Urban Agglomeration from 2007 to 2019 has been steadily improved, but the overall level is still at a low level, with significant differences among the cities. (2) Qingdao and Jinan are the two growth poles of the green development level of Shandong Peninsula Urban Agglomeration. The dual-core leading effect is obvious, forming a spatial pattern in which the green development level of the eastern and central regions is higher than that of other regions’ green development level. (3) Weihai, Dongying, and Qingdao are high-level cities of green development, while Jinan, Yantai, Zibo, Tai’an, and Linyi are medium-level cities of green development. The green development level of other cities is relatively low, and the high-level cities of green development are mostly the Jiaodong economic circle and provincial capital economic circle. (4) Industrial structure, scientific and technological innovation, and government policies are the critical factors in promoting the green development of the Shandong Peninsula Urban Agglomeration.
关键词：Shandong Peninsula Urban Agglomeration; green development; CRITIC method; spatiotemporal analysis; panel model