Research on key indicators of China's low carbon industry development competitiveness

被引:3
作者
Su, Bowen [1 ]
Hu, Qiliang [2 ]
机构
[1] Commercial Circulat Coll, Anhui Inst Int Business, 001 Wei Wu Rd, Hefei 230013, Anhui, Peoples R China
[2] Anhui Business & Technol Coll, Sch Management, 16 Jingning Rd, Hefei 231131, Anhui, Peoples R China
关键词
Low carbon industry; Development; Competitiveness; PCA;
D O I
10.1016/j.egyr.2022.05.090
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Nowadays, with global warming and frequent natural disasters, in order to reduce the occurrence of such problems, the world has improved new industrial models. China seeks new economic growth points, and low-carbon industries also emerge as the times require. The competition of low-carbon industries is bound to become the competition of the future economy. Objectively evaluating the key indicators of low-carbon industry development competitiveness is of great significance to the competition and development of low-carbon industries. Based on the questionnaire data of 295 various industries and governments, this study uses principal component analysis (PCA) to construct a comprehensive competitiveness model to evaluate the key factors of low-carbon industry development competitiveness. The results show that there are 6 key factors in the competitiveness of low-carbon industries, and they are ranked according to their weights, namely: opportunities and industry support factors (24.52%), production factors (23.52%), ecological factors (18.17%), government factors (15.32%), demand conditions (9.67%), and corporate strategic factors (8.79%). This shows that industrial support factors, enterprise's own production factors, and ecological factors are all very critical to the development of low-carbon industries, and the input of these key elements should be further strengthened to improve the competitiveness of low-carbon industry development. (C) 2022 Published by Elsevier Ltd.
引用
收藏
页码:560 / 568
页数:9
相关论文
共 12 条
[1]  
Chen FF., 2019, ART REV, P185
[2]  
Dai H., 2011, AGR SCI TECHNOL INF, P62
[3]  
Hu QL., 2020, 2020 3 INT C GREEN B, V531
[4]  
Hu WD., 2011, BUS TIMES, P4
[5]  
Li L., 2016, SCI TECHNOL IND, V16, P35
[6]  
Lu JJ., 2010, ECON RES-EKON ISTRAZ, P56
[7]  
Lu JM, 2011, GUANGDONG ELECT POWE, V4, P24
[8]  
Rui MJ., 2006, SOC SCI QUART, P68
[9]  
Shen Y, 2013, J WUXI BUS VOCAT TEC, V13, P1
[10]  
Su BW, E3S WEB C, V12