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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v7i5.8608</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Innovations and Challenges in Economic Census Methodology: A Study by the Bureau of Statistics</title><url>https://artdesignp.com/journal/PBES/7/5/10.26689/pbes.v7i5.8608</url><author>LiSuqing</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>7</volume><issue>5</issue><history><date date-type="pub"><published-time>2024-10-22</published-time></date></history><abstract>The Bureau of Statistics has demonstrated a forward-looking strategic approach in its economic census. By leveraging dual innovations in technology and management, and incorporating modern technologies such as big data, cloud computing, and the Internet of Things, it has deepened the reform of the census methodology. Additionally, the Bureau has built a multi-dimensional collaborative network that enhances international cooperation, departmental coordination, and public participation. This approach not only addresses the limitations of traditional statistical methods in a complex economic environment but also improves data quality and census efficiency, providing an accurate and reliable foundation for national economic decision-making.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Gao Y, Li B, Gan T, 2024, Population Aging, Agricultural Technical Efficiency, and Agricultural Economic Resilience: An Analysis Based on Census and Sample Survey Data. 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