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<journal-id journal-id-type="publisher">london-journal-of-research-in-science-natural-and-formal</journal-id>
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<journal-title>London Journal of Research In Science: Natural and Formal</journal-title>
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<issn publication-format="print">2631-8490</issn>
<issn publication-format="electronic">2631-8504</issn>
<publisher><publisher-name>JournalsPress</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">94765</article-id>
<title-group>
<article-title>A New Method of the Coupling Coordination Degree for Quantifying Sustainable Development from the Cosine of the High-Dimensional Spatial Angle Perspective</article-title>
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<volume>23</volume>
<issue>15</issue>
<fpage>41</fpage>
<lpage>60</lpage>
<abstract><p>The coupling coordination degree (CCD) is considered to be an important yardstick for guiding practice toward sustainable development. It helps quantitatively investigate the interactions between two or more subsystems within a complex system. However, the existing CCD models have inherent shortcomings. Currently, no consensus has been reached on CCD models. In line with this background, this research proposes a new CCD model from the perspective of the cosine of the high-dimensional spatial angle and develops a novel Excel© tool named Ex-CCD. Taking the coupling coordination analysis between economic-social development, resource consumption, and environmental pollution in China during 2000–2016 as an example, a case demonstration is conducted, and the results show that the model proposed in this research can more accurately describe the coupling coordination state of a system. This new model provides a significant theoretical and practical basis as well as a novel perspective for further coupling coordination research.</p></abstract>
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<p>The coupling coordination degree (CCD) is considered to be an important yardstick for guiding practice toward sustainable development. It helps quantitatively investigate the interactions between two or more subsystems within a complex system. However, the existing CCD models have inherent shortcomings. Currently, no consensus has been reached on CCD models. In line with this background, this research proposes a new CCD model from the perspective of the cosine of the high-dimensional spatial angle and develops a novel Excel© tool named Ex-CCD. Taking the coupling coordination analysis between economic-social development, resource consumption, and environmental pollution in China during 2000–2016 as an example, a case demonstration is conducted, and the results show that the model proposed in this research can more accurately describe the coupling coordination state of a system. This new model provides a significant theoretical and practical basis as well as a novel perspective for further coupling coordination research.</p>
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