Zhu Jin, Sun Huaping, Liu Nanying, Zhou Dequn, Taghizadeh-Hesary Farhad
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Division of Low-carbon Economy and Environmental Regulation, Institute of Industrial Economics, Jiangsu University, Zhenjiang 212013, China.
Entropy (Basel). 2020 Aug 31;22(9):973. doi: 10.3390/e22090973.
Carbon emission control is an urgent environmental issue that governments are paying increasing attention to. Improving carbon market transaction efficiency in the context of China's power industry is important for green growth, low carbon transmission, and the realization of sustainable development goals. We used the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method in this empirical study to analyze the carbon market transaction efficiency of China's power industry. The results showed that the Beijing carbon market has the highest transaction efficiency, followed by those of Guangdong Province and Shenzhen City. Hubei Province also has a relatively high carbon market transaction volume and turnover; its transaction efficiency ranks fourth. Shanghai, Tianjin, and Chongqing are the lowest-ranked regions, having carbon markets with relatively low trading volume and turnover. We, therefore, recommend that to develop a unified national carbon market, governmental agencies at all levels should equitably allocate carbon; strict regulations and penalties are also needed.
碳排放控制是一个紧迫的环境问题，各国政府对此日益关注。在中国电力行业背景下提高碳市场交易效率，对于绿色增长、低碳输电以及实现可持续发展目标至关重要。在本实证研究中，我们采用熵权法逼近理想解排序法（TOPSIS）来分析中国电力行业的碳市场交易效率。结果表明，北京碳市场的交易效率最高，其次是广东省和深圳市的碳市场。湖北省的碳市场交易量和交易额也相对较高，其交易效率排名第四。上海、天津和重庆是排名最低的地区，其碳市场的交易量和交易额相对较低。因此，我们建议，为了发展统一的全国碳市场，各级政府机构应公平分配碳排放；同时还需要严格的监管和处罚措施。
