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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.v9i3.14561</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Land Statistics Data Management: Current Status, Challenges, and Improvements</title><url>https://artdesignp.com/journal/PBES/9/3/10.26689/pbes.v9i3.14561</url><author>HeYuhui</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>3</issue><history><date date-type="pub"><published-time>2026-04-16</published-time></date></history><abstract>Land statistical data serves as a fundamental tool for converting land resources into quantifiable information, playing a vital role in supporting scientific decision-making, safeguarding rights and interests, and facilitating regulatory enforcement. At present, China’s land statistical data management faces several practical challenges, including insufficient data coverage, opportunities for improving data accuracy, and underdeveloped interdepartmental information-sharing mechanisms. These issues have implications for the rational allocation and effective protection of land resources. This paper outlines the essential functions of land statistical data, analyzes current issues and their underlying causes, and proposes preliminary improvements related to data collection systems, data sharing, and quality control. These insights aim to contribute to the advancement of land resource management practices.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Li Z, Wang W, 2019, Research on Land Statistics in Natural Resources Management. 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