Regional coordinated development of low-carbon sports industry in China

被引:0
|
作者
Xiong, Huayu [1 ]
机构
[1] Chongqing Univ Arts & Sci, Coll Phys Educ, Chongqing 402160, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
Optimal prediction model; Super-SBM DEA model; Spatial autocorrelation analysis model; Low-carbon sports industry; Regional coordinated development; ELECTRICITY DEMAND; PREDICTION; EFFICIENCY; EMISSIONS; TURKEY;
D O I
10.1038/s41598-024-69590-2
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
This study develops a systematic modeling framework, comprising a prediction model, a super-SBM model, and a spatial autocorrelation analysis model, to explore the spatial-temporal evolution tendencies of development efficiency within China's 30 regions in the low-carbon sports industry from 2006 to 2025. This framework aims to provide theoretical insights for the formulation of more targeted policies. Based on the empirical findings, the main conclusions of this study are as follows: (1) The optimal buffer operator grey prediction model demonstrates the highest accuracy among the prediction models examined. (2) The development efficiency curves of the 30 regions exhibit a significant increasing trend from 2006 to 2021, with values generally peaking between 0.4 and 0.6. (3) Notably, the disparity in development efficiency between developed and less developed regions is expected to progressively widen. (4) The development efficiency of the low-carbon sports industry across the 30 regions typically displays high-high clustering and low-low clustering during China's four five-year plan periods. This underscores the importance and urgency of promoting regional coordinated development within the low-carbon sports industry.
引用
收藏
页数:18
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