Wuyi Zeng
A Study of Quality Management of Official Statistics in China
A Study of Quality Management of Official Statistics in China
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This book emphasizes the importance of improving the quality of official statistics in China, which is crucial for understanding the country's social and economic development and making informed decisions. It summarizes three levels of understanding the concept of quality and analyzes potential influences from social, economic, political, and management perspectives. Government statistical data is valuable for various stakeholders, and its quality is increasingly important due to its impact on economic and social management, decision-making, and production, operation, investment, and consumption decisions.
Format: Paperback / softback
Length: 215 pages
Publication date: 22 December 2022
Publisher: Springer Verlag, Singapore
This book delves into the realm of enhancing the quality management of official statistics in China, a crucial endeavor that plays a pivotal role in shaping the nation's social and economic development. Official statistics serve as a comprehensive framework for understanding China's progress, serving as a valuable tool for government policymakers and enterprises alike in making informed decisions. Recognizing the immense value of official statistics, the public also expresses deep concern about their quality. This book offers a comprehensive three-level framework for comprehending the concept of official statistics quality, while also examining the potential influences stemming from social, economic, political, and management perspectives.
Government statistical data holds immense significance as it reflects China's economic and social development, serving as a vital resource for Party committees at all levels, governments, enterprises, and the public to gain insights into China's economic operations and social progress. It serves as a foundation for Party committees and governments to undertake effective economic and social management, decision-making, and policy formulation. Moreover, it serves as a crucial reference for enterprises and the public to make informed decisions regarding production, operations, investment, and consumption. Consequently, the demand for government statistics is on the rise, necessitating the improvement of their quality.
The quality of government statistical data is of paramount importance, as it directly impacts the objectivity, accuracy, scientificity, and correctness of government data. It affects the decision-making processes of Party committees, the effectiveness of economic and social management, and the accuracy of production, operation, investment, and consumption decisions made by enterprises and the public. Therefore, it is not only a matter of social concern but also a core issue that requires urgent attention.
To address the challenges of improving official statistics quality, this book proposes a range of measures and strategies. It emphasizes the importance of establishing a robust statistical system, investing in statistical research and development, enhancing data quality control mechanisms, promoting transparency and accountability, and fostering collaboration among stakeholders. Additionally, it suggests the use of modern technology, such as big data and artificial intelligence, to enhance statistical analysis and improve the accuracy and reliability of official statistics.
In conclusion, this book serves as a valuable resource for policymakers, practitioners, and researchers seeking to enhance the quality management of official statistics in China. By understanding the importance of official statistics and examining the various factors that impact their quality, this book provides a comprehensive framework for improving the accuracy, reliability, and usefulness of government data. This, in turn, will contribute to the betterment of China's social and economic development and the informed decision-making of stakeholders at all levels.
Weight: 367g
Dimension: 235 x 155 (mm)
ISBN-13: 9789813366046
Edition number: 1st ed. 2022
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