Spatio-temporal differentiation and policy optimization of ecological well-being in the Yellow River Delta high-efficiency eco-economic zone
发布日期：2022-03-02
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摘要：With the development of the Millennium Ecosystem Assessment, more people are becoming aware of the importance of ecosystem protection. As a crucial part of the human well-being, ecological well-being has always had essential scientific research value. In this paper, authors take the Yellow River Delta high-efficiency eco-economic zone as a case study, based on the theory of land ecosystem services to study the ecological well-being. With the help of expert coefficient value assessment for different types of land use, authors have researched the spatiotemporal differentiation and influence mechanism of regional ecological well-being, using the Coupling Coordination Degree (CCD) model and Geographic Weighted Regression (GWR) model. The results found small differences in change of resource well-being (RW) and large differences in change of environmental well-being (EW) from 1990 to 2020, and the RWs and EWs of the central cities including Dongying Core, Hekou Core, Kenli, Hanting Core and Changyi are higher than those of their surrounding counties. The coupling coordination relationship of RW and EW in the central cities including Dongying Core, Hekou Core and Changyi is larger than in their surrounding counties. Population urbanization (PU) and industrial urbanization (IU) are important factors of change in land use and ecosystem services which influence the human well-being, PU affects RW more significantly, and IU affects EW more significantly. In order to further promote the sustainable ecological well-being of the Yellow River Delta region, authors recommend the conservation of land resources, technological innovation of environmental management and the formulation of environmental law. It provides significant enlightenment and decision support for strengthening the environmental protection of the Yellow River Delta high-efficiency eco-economic zone.
作者：Jintao Li, Yuling Gong, Changjun Jiang
文章来源：Journal of Cleaner Production, 2022, Volume 339
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