Evaluation And Application Of ESG Data Quality

At present,The social and economic reform of China has begun to take effect,all walks of life in the social and economic system have been significantly improved in the scale of development,the advantages of the socialist market economic system guided by the state have become increasingly obvious,the quality of national life has been continuously enhanced,the level of national income is also rising steadily,and a relatively perfect social and economic system has been basically constructed After years of steady economic growth,investors’ evaluation of listed companies is not only limited to the traditional indicators of market value,operating income and profitability,but also has positive external effects,which provides a good development environment for the development of ESG.The development of ESG at this stage presents a good trend,and all sectors of the society pay attention to E SG is full of confidence in its future development.China is still in the primary stage of ESG development,and there is a very broad development space from regulation,ESG information disclosure,ESG evaluation to ESG investment.Moreover,climate change has gradually become one of the most critical factors to be considered in the change of economic system,which is complementary to the environmental concept of ESG investment concept.In the information age,data presents a geometric growth trend.If the data quality is not guaranteed,the data will have no reference value for enterprises,society and even the country.Which indicators are used to evaluate the data quality has become the most eye-catching topic in the data age.In the process of data quality evaluation,it is necessary to find data anomalies accurately and timely.On this basis,we can improve the data quality and improve the data quality.Generally speaking,data quality needs to be evaluated from multiple perspectives based on the characteristics of data itself.Firstly,this paper analyzes the current situation of data quality evaluation system at home and abroad,and lists the qualitative description of the meaning of data quality at home and abroad.Secondly,the ESG rating system and the concept of ESG data are described and defined.With the help of python,this paper evaluates the quality of ESG data.Combined with the characteristics of ESG data,this paper evaluates the quality of quarterly data of 3848 A-share listed companies from 2015 to 2020 in terms of ESG metadata and ESG evaluation data.The ESG metadata is mainly used to evaluate the integrity,consistency and timeliness of the data of 14 topics and 26 key indicators in China Securities ESG evaluation system.For the ESG score data,this paper uses the ESG score of each company,and the average ESG score of each company’s primary industry of China Securities Regulatory Commission for horizontal and vertical comparison,as well as the change of each company’s score in each period to judge whether the ESG score data is abnormal.In the process of evaluation,this paper evaluates the data quality based on the situation of 210 delisted companies.Finally,the ESG data evaluation results are applied to all a share to judge the change of return after eliminating the abnormal ESG data quality.Among them,the innovation of this paper is that,with the in-depth development of ESG investment concept,it is proposed to select stocks based on the quality of ESG data,which can provide a clearer development direction for the company,encourage the company to develop in a more diversified and sustainable direction,and provide the most effective information for investors’investment decisions.Moreover,in the quality evaluation,the quantitative description of the timeliness of ESG data is proposed,and the timeliness of ESG data is defined as the time interval between the ESG evaluation date and the data reporting period.