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绿色竞争推进的障碍诊断:基于突变级数和模糊粗糙集方法的中国省级案例研究。

Obstacle diagnosis of green competition promotion: a case study of provinces in China based on catastrophe progression and fuzzy rough set methods.

机构信息

School of Management, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China.

出版信息

Environ Sci Pollut Res Int. 2018 Feb;25(5):4344-4360. doi: 10.1007/s11356-017-0762-z. Epub 2017 Nov 27.

Abstract

As "green" and "sustainable" become the new themes of regional economic development, green competitiveness will undoubtedly become a new engine for regions to solve environmental, resource use, and other global problems to fit the new development themes. Unfortunately, the performance of regional green competitiveness is not always satisfactory due to various shortcomings. In this study, we abandoned the conventional research approach that directly explores the factors that promote regional green competitiveness and analyzed, instead, the obstacles to green competitiveness among provinces in China. The barrier degree was calculated for each obstacle using a catastrophe progression method and fuzzy rough set. Results showed that (a) resource and environmental problems have become increasingly prominent and have been the most common obstacles to promoting green competitiveness of provinces in China and (b) the obstacles to improving regional green competitiveness showed spatial differences and peculiarity according to the barrier degree. The outcome of the study can help policy makers to better understand and prioritize implementation strategies to develop effective action and policy interventions toward more successful construction of regional green competitiveness.

摘要

随着“绿色”和“可持续”成为区域经济发展的新主题,绿色竞争力无疑将成为各地区解决环境、资源利用等全球性问题、适应新发展主题的新引擎。然而,由于各种缺陷,区域绿色竞争力的表现并不总是令人满意。在这项研究中,我们摒弃了直接探讨促进区域绿色竞争力的因素的传统研究方法,转而分析了中国各省绿色竞争力的障碍。使用突变级数法和模糊粗糙集对每个障碍的障碍度进行了计算。结果表明:(a)资源环境问题日益突出,已成为制约中国各省绿色竞争力提升的最常见障碍;(b)提高区域绿色竞争力的障碍根据障碍度呈现出空间差异和特殊性。该研究的结果可以帮助政策制定者更好地理解和优先实施战略,以制定更有效的行动和政策干预措施,从而更成功地建设区域绿色竞争力。

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