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Energy Statistical Method Limitations and Innovative Improvement Path Design

Author(s)

Yuanyuan Li

Affiliation(s)

Haiyang Bureau of Statistics, Haiyang, China

Abstract

This paper comprehensively analyzes the core problems existing in current energy statistical issues, such as data coverage, new industry accounting, and data quality. It clarifies the induced systematic biases and related decision-making risks. Then, on this basis, the study proposes an innovative improved path of tri-dimension: one, statistical extension and accounting adjustment to solve the problems brought by new energy sources; two, establishing a refined multi-dimensional multi-level indicator system to improve the statistical profile; three, using big data technology to promote the data governance. Three pathways are interconnected to build a more accurate, comprehensive and applicable modern energy statistical system to meet the needs of high-quality development of energy transition and "dual carbon" decision-making.

Keywords

Energy Statistics; Methodological Limitations; Improvement Pathways; Data Governance; High-Quality Development

References

[1] Du, R. N.Analysis of methods for improving the quality of energy statistical data in enterprises. China Market, 2025, (19): 87-90. [2] Yang, Z. G., & Fang, X. W.Analysis of municipal-level energy activity carbon emission statistics methods in Shandong Province. Shandong Macroeconomics, 2024, (01): 73-80. [3] Chi, Z. Study on the statistical and accounting methods for energy activity carbon emissions in district-level cities. Statistical Science and Practice, 2023, (06): 19-22. [4] Yang, J. H. Exploration of reforms in energy statistical methods and systems. Bohai Economic Outlook, 2021, (07): 149-150.