Journal of Statistics and Information

Green finance serves as a critical pillar for sustainable development and the Chinese modernization.In recent years,the rapid development of green finance in China has facilitated the transformation of the economy towards a higher level and quality,while also contributing to the achievement of carbon peaking and carbon neutrality goals.In the process of rapid development of green finance,statistical theory of green finance lags behind the practice of green finance.Although statistical theory and practice have been established for green financial products such as green credit,green insurance,and green bonds,there are still many issues that need to be explored in depth regarding the classification,framework,and measurement of green finance statistics.In particular,the standards and systems for green finance statistics are relatively fragmented,and the data is still in complete and of insufficient quality,there is a lack of a comprehensive statistical system that can thoroughly monitor the development of green finance.Compiling a green finance survey can effectively present fundamental data on the total volume and structure of green finance,which facilitates a comprehensive and systematic monitoring of green financial activities and aiding in the analysis and assessment of the development status of green finance.Therefore,following the logical requirements of green finance statistical monitoring,this paper aims to compile a green finance survey.Specifically,it examines several fundamental issues,including the classification of green finance statistics,the data foundation,and the challenges in compiling the survey and the flow of funds table.The findings indicate that the current classification of green activities in statistical standards and systems is mainly based on industrial levels.To meet the diverse demands for green finance from government departments,enterprises,the general public,it is necessary to classify green finance from multiple perspectives,including the degree of greenness and its effects,and conduct multi-level green finance total amount.And it is necessary to further refine and expand the scope of green finance statistics,extending the statistical perspective from financial institutions to multiple sectors involved in green finance activities.Additionally,efforts should be made to optimize and enhance the structure and quality of green finance data,involve systematically constructing a multi-dimensional green finance database and establishing a quality supervision system for green finance.Finally,by integrating the various specialized statistical standards and systems of green finance,the compilation of a green finance survey and flow of funds table is proposed.These tools are designed to reflect the specific manifestations of green finance flows and stocks at different classification levels,providing an effective solution to the current lack of comprehensive green finance statistics.The research results are helpful to improve the statistical theory of green finance and provide some references for establishing a comprehensive statistical system of green finance.