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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.v9i7.15671</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Study on the Impact of Social Media on High School Students’ Consumption Preferences and Their Financial Statistical Characteristics</title><url>https://artdesignp.com/journal/PBES/9/7/10.26689/pbes.v9i7.15671</url><author>ZhenYingxin</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2026-07-27</published-time></date></history><abstract>This study surveyed 96 high school students via questionnaires, adopting descriptive statistics, correlation analysis, and theoretical frameworks (Uses and Gratifications, Theory of Planned Behavior) to explore social media’s influence on their consumption preferences and financial traits. Data was analyzed using MATLAB R2023b. Key findings: 42.7% use social media 1–3 hours daily, with short-video platforms dominating (76.0%). Consumption follows a “basic needs + entertainment” pattern. Social media recommendations (61.5%) and peer interaction (52.1%) strongly shape decisions. Monthly spending is right-skewed (skewness = 1.68, mean = 847 yuan, median = 750, SD = 282). Daily usage time correlates moderately with spending (r = 0.56, P &amp;lt; 0.01). Social media guides consumption via algorithmic pushes, influencer marketing, and peer comparison, contributing to irrational consumption and low financial literacy. Targeted suggestions are provided for schools, families, society, and individuals to foster rational consumption and improve financial literacy.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Williams WH, Goodman ML, 1971, A Statistical Grouping of Corporations by Their Financial Characteristics. Journal of Financial &amp; Quantitative Analysis, 6(4): 1095–1104.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>He HX, 2012, The Statistical Description on the Characteristics of Henan Regional Financial Structure. Science Technology and Industry, 12(4): 29-31.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Jeong C-s, Lee T-w, 1993, The Statistical Analysis on the Characteristics of Financial Distress of Shipping Companies in Korea. Dongnam Management, (7): 233–262.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Wang J, Wang YL, 2011, Fractal Characteristics of Financial Markets Statistical Analysis. Journal of Zaozhuang University, 28(05): 51-53.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Mieko TY, 2004, On the Resemblance Between the Characteristics of Financial Time Series and Those of Turbulence in Terms of Statistical Distributions. IEEJ Technical Meeting Materials, Information Systems Study Group, 2004(24): 319–324.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
