摘要
以356家高耗能工业企业的财务报表和金融数据为基础,构建六方面18项指标,利用随机森林方法生成财务违约模型;综合考虑技术进步、能源结构和产业机构等因素,以2030年重点行业规划的产量和排放数据为基础测算不同碳价冲击对企业财务指标的影响,利用训练的违约模型测算企业信用风险变迁情况。研究发现,碳价冲击显著影响企业潜在违约率,作为高碳省份的宁夏六大高碳行业潜在违约率由当前的9.39%显著上升至20.57%以上,不同行业之间也存在较大差异。结合研究结论,本文提出,实现绿色低碳发展,需要把发展绿色能源放在基础低位,各地要立足比较优势在发展和减排中取得平衡,加强激励性顶层制度设计,同时强化金融机构气候信息披露和风险评估。
Based on the financial statements and financial data of 356 industrial enterprises,this paper constructs 18 indicators from six aspects and uses random forest method to generate financial default model.Based on the planned output and emission data of key industries in 2030,the impacts of different carbon price shocks on corporate financial indicators are calculated,the changes of corporate credit risks are measured using trained default models.The study found that with the increase of carbon price,the potential default ratio of non-defaulting enterprises increased significantly from 9.65% to 19.94%.There was also a big difference among different industries.Combined with the research conclusions,this paper proposes that green and low-carbon development is based on the development of green energy.The governments should balance development and emission reduction,strengthen climate information disclosure and risk assessment of financial institutions.
作者
杨云
仲伟周
王佳琪
程君
YANG Yun;ZHONG Wei-zhou;WANG Jia-qi;CHENG Jun(School of Economics andFinance,Xi’an Jiaotong University,Xi’an Shaanxi 710061,China;Shaanxi Institute of Socialism,Xi’an Shaanxi 710061,China;The People’s Bank of China Yinchuan Central Sub-Branch,Yinchuan Ningxia 750001,China)
出处
《苏州大学学报(哲学社会科学版)》
CSSCI
北大核心
2022年第6期126-139,共14页
Journal of Soochow University(Philosophy & Social Science Edition)
基金
中央社会主义学院统一战线高端智库课题“构建新型政商关系中的商会组织转型路径研究”(项目编号:ZK20200120)
陕西省社会科学界重大理论与现实研究项目“陕西实现追赶超越发展的障碍与对策研究”(项目编号:2020Z081)的阶段性成果。
关键词
碳达峰
高耗能行业
违约风险
peak carbon dioxide emissions
energy-intensive industry
default risk