{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:59:52Z","timestamp":1777705192285,"version":"3.51.4"},"reference-count":33,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2024,1,10]]},"abstract":"<jats:p>The consumer price index (CPI) is an important indicator to measure inflation or deflation, which is closely related to residents\u2019 lives and affects the direction of national macroeconomic policy formulation. It is a common method to discuss CPI from the perspective of economic analysis, but the statistical principles and influencing factors related to CPI are often ignored. Thus, the impact of different types of CPI on China\u2019s overall CPI was discussed from three aspects: statistical simulation, machine learning prediction and correlation analysis of various types of influencing factors and CPI in this study. Realistic data from the National Bureau of Statistics from 2010 to 2022 were selected as the analysis object. The Statistical analysis showed that in 2015 and 2020, CPI had a fluctuating trend due to the impact of education and transportation. Four types of statistical models including Gauss, Lorentz, Extreme and Pearson were compared. It was determined that the R2 fitted by Extreme model was higher (R2\u200a=\u200a0.81), and the optimal year of simulation was around 2019, which was close to reality. To accurately predict the CPI, the results of Support Vector Machine, Regression decision tree and Gaussian regression (GPR) were compared, and the GPR was determined to be the optimal model (R2\u200a=\u200a0.99). In addition, Spearman matrix analyzed the correlation between CPI and various influencing factors. Herein, this study provided a new method to determine and predict the changing trend of CPI by using big data analysis.<\/jats:p>","DOI":"10.3233\/jifs-234102","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T11:39:46Z","timestamp":1700221186000},"page":"891-901","source":"Crossref","is-referenced-by-count":4,"title":["Exploring and predicting China\u2019s consumer price index with its influence factors via big data analysis"],"prefix":"10.1177","volume":"46","author":[{"given":"Qian","family":"Cui","sequence":"first","affiliation":[{"name":"College of Public Administration and Law, Liaoning Technical University, Fuxin, Liaoning, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Rong","sequence":"additional","affiliation":[{"name":"College of Public Administration and Law, Liaoning Technical University, Fuxin, Liaoning, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Public Administration and Law, Liaoning Technical University, Fuxin, Liaoning, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Public Administration and Law, Liaoning Technical University, Fuxin, Liaoning, China"},{"name":"Department of Government Policy, Graduate School, University of Chinese Academy of Social Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-234102_ref2","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.ecolecon.2005.09.012","article-title":"A quest for the economics of sustainability and the sustainability of economics","volume":"56","author":"Ruth","year":"2006","journal-title":"Ecological Economics"},{"key":"10.3233\/JIFS-234102_ref3","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/S1389-9341(02)00045-X","article-title":"Extending the boundaries of forest economics","volume":"5","author":"Kant","year":"2003","journal-title":"Forest Policy and Economics"},{"key":"10.3233\/JIFS-234102_ref4","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1751-5823.1999.tb00451.x","article-title":"Measurement biases in consumer price indexes","volume":"67","author":"White","year":"1999","journal-title":"International Statistical Review"},{"key":"10.3233\/JIFS-234102_ref5","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1007\/s10878-018-0305-7","article-title":"Online leasing problem with price fluctuations under the consumer price index","volume":"36","author":"Feng","year":"2018","journal-title":"Journal of Combinatorial Optimization"},{"key":"10.3233\/JIFS-234102_ref6","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1111\/insr.12438","article-title":"Estimating Sampling Errors in Consumer Price Indices","volume":"89","author":"Smith","year":"2021","journal-title":"International Statistical Review"},{"key":"10.3233\/JIFS-234102_ref7","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1016\/j.physa.2018.04.014","article-title":"Analyzing of consumer price index influence on inflation by multiple linear regression","volume":"505","author":"Cogoljevic","year":"2018","journal-title":"Physica a-Statistical Mechanics and its Applications"},{"key":"10.3233\/JIFS-234102_ref8","doi-asserted-by":"crossref","first-page":"75","DOI":"10.56578\/jii010201","article-title":"A Numerically Validated Approach to Modeling Water Hammer Phenomena Using Partial Differential Equations and Switched Differential-Algebraic Equations","volume":"1","author":"Kausar","year":"2023","journal-title":"Journal of Industrial Intelligence"},{"key":"10.3233\/JIFS-234102_ref9","doi-asserted-by":"crossref","first-page":"106105","DOI":"10.1016\/j.engappai.2023.106105","article-title":"q-rung orthopair fuzzy Aczel\u2013Alsina aggregation operators with multi-criteria decision-making","volume":"122","author":"Farid","year":"2023","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.3233\/JIFS-234102_ref10","doi-asserted-by":"crossref","first-page":"7239","DOI":"10.1002\/int.22587","article-title":"Some generalized q-rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws","volume":"36","author":"Farid","year":"2021","journal-title":"International Journal of Intelligent Systems"},{"key":"10.3233\/JIFS-234102_ref11","doi-asserted-by":"crossref","first-page":"8","DOI":"10.56578\/jii010102","article-title":"Enhancing Green Supply Chain Efficiency Through Linear Diophantine Fuzzy Soft-Max Aggregation Operators","volume":"1","author":"Riaz","year":"2023","journal-title":"Journal of Industrial Intelligence"},{"key":"10.3233\/JIFS-234102_ref12","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.strueco.2023.07.003","article-title":"A tale of three prices: Monetary policy and autonomous consumption in the US","volume":"67","author":"Goes","year":"2023","journal-title":"Structural Change and Economic Dynamics"},{"key":"10.3233\/JIFS-234102_ref13","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1007\/s11069-020-04326-9","article-title":"Spillover or crowding out? The effects of environmental regulation on residents\u2019 willingness to pay for environmental protection","volume":"105","author":"He","year":"2021","journal-title":"Natural Hazards"},{"key":"10.3233\/JIFS-234102_ref14","doi-asserted-by":"crossref","unstructured":"Ma L.F. , Macroeconomic Forecast Model System Based on Digital Information and Blockchain Technology, Mobile Information Systems 2022 (2022).","DOI":"10.1155\/2022\/7208805"},{"key":"10.3233\/JIFS-234102_ref15","doi-asserted-by":"crossref","first-page":"100361","DOI":"10.1016\/j.ssmph.2019.100361","article-title":"The Corporate Permeation Index \u2013A tool to study the macrosocial determinants of Non-Communicable Disease","volume":"7","author":"Madureira Lima","year":"2019","journal-title":"SSM - Population Health"},{"key":"10.3233\/JIFS-234102_ref16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1111\/1751-7915.13707","article-title":"Enhancement of microbiome management by machine learning for biological wastewater treatment","volume":"14","author":"Cai","year":"2021","journal-title":"Microbial Biotechnology"},{"key":"10.3233\/JIFS-234102_ref17","doi-asserted-by":"crossref","unstructured":"Jang H.Y. , Kang J.K. , Park J.A. , Lee S.C. and Kim S.B. , Metal-organic framework MIL-100(Fe) for dye removal in aqueous solutions: Prediction by arti fi cial neural network and response surface methodology modeling, Environmental Pollution 267 (2020).","DOI":"10.1016\/j.envpol.2020.115583"},{"key":"10.3233\/JIFS-234102_ref18","doi-asserted-by":"crossref","unstructured":"Xu Y. , Duong D. and Xu H. , Attention! Predicting crude oil prices from the perspective of extreme weather, Finance Research Letters 57 (2023).","DOI":"10.1016\/j.frl.2023.104190"},{"key":"10.3233\/JIFS-234102_ref19","doi-asserted-by":"crossref","unstructured":"Roter B. , Ninkovic N. and Dordevic S.V. , Clustering superconductors using unsupervised machine learning, Physica C-Superconductivity and its Applications 598 (2022).","DOI":"10.1016\/j.physc.2022.1354078"},{"key":"10.3233\/JIFS-234102_ref21","doi-asserted-by":"crossref","first-page":"1508","DOI":"10.1016\/j.egypro.2011.03.258","article-title":"Research on the influencing effect of coal price fluctuation on CPI of China","volume":"5","author":"Zhihua","year":"2011","journal-title":"Energy Procedia"},{"key":"10.3233\/JIFS-234102_ref22","first-page":"1","article-title":"Helping medical students in their study of statistics: A flexible approach","volume":"12","author":"Leppink","year":"2017","journal-title":"J Taibah Univ Med Sci"},{"key":"10.3233\/JIFS-234102_ref23","first-page":"66","article-title":"Large medical equipment economic benefit analysis and evaluation based on SPSS principal component analysis","volume":"40","author":"Liu","year":"2019","journal-title":"Chinese Medical Equipment Journal"},{"key":"10.3233\/JIFS-234102_ref24","doi-asserted-by":"crossref","first-page":"105059","DOI":"10.1016\/j.dib.2019.105059","article-title":"A database of handwriting samples for applications in forensic statistics","volume":"28","author":"Crawford","year":"2020","journal-title":"Data Brief"},{"key":"10.3233\/JIFS-234102_ref25","first-page":"199","article-title":"Multisensor data fusion via Gaussian process models for dimensional and geometric verification","volume":"40","author":"Colosimo","year":"2015","journal-title":"Precision Engineering-Journal of the International Societies for Precision Engineering and Nanotechnology"},{"key":"10.3233\/JIFS-234102_ref26","doi-asserted-by":"crossref","unstructured":"Barge H. and Sanjurjo J.M.R. , A Conley index study of the evolution of the Lorenz strange set, Physica D-Nonlinear Phenomena 401 (2020).","DOI":"10.1016\/j.physd.2019.132162"},{"key":"10.3233\/JIFS-234102_ref27","doi-asserted-by":"crossref","unstructured":"Sharma S. and Mujumdar P.P. , Modeling Concurrent Hydroclimatic Extremes With Parametric Multivariate Extreme Value Models, Water Resources Research 58 (2022).","DOI":"10.1029\/2021WR031519"},{"key":"10.3233\/JIFS-234102_ref28","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1366\/000370203321558254","article-title":"Computationally efficient curve-fitting procedure for large two-dimensional experimental infrared spectroscopic arrays using the Pearson VII model","volume":"57","author":"Chen","year":"2003","journal-title":"Applied Spectroscopy"},{"key":"10.3233\/JIFS-234102_ref29","first-page":"9","article-title":"Research on the Optimal Model of China\u2019s Short-term CPI Forecast \u2014\u2014Based on the Selection and Optimization of Several Time Series Models","volume":"39","author":"Chen","year":"2022","journal-title":"Contemporary Economics"},{"key":"10.3233\/JIFS-234102_ref33","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1016\/j.procs.2012.04.138","article-title":"A New Application of the Support Vector Regression on the Construction of Financial Conditions Index to CPI Prediction","volume":"9","author":"Wang","year":"2012","journal-title":"Procedia Computer Science"},{"key":"10.3233\/JIFS-234102_ref34","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1016\/j.procs.2014.05.335","article-title":"A Novel Divide-and-Conquer Model for CPI Prediction Using ARIMA","volume":"31","author":"Du","year":"2014","journal-title":"Gray Model and BPNN, Procedia Computer Science"},{"key":"10.3233\/JIFS-234102_ref36","doi-asserted-by":"crossref","first-page":"111358","DOI":"10.1016\/j.postharvbio.2020.111358","article-title":"Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. II. Local PLS and nonlinear models","volume":"171","author":"Anderson","year":"2021","journal-title":"Postharvest Biology and Technology"},{"key":"10.3233\/JIFS-234102_ref37","doi-asserted-by":"crossref","first-page":"153872","DOI":"10.1016\/j.scitotenv.2022.153872","article-title":"Life cycle assessment study on the public transport bus fleet electrification in the context of sustainable urban development strategy","volume":"824","author":"Jakub","year":"2022","journal-title":"Sci Total Environ"},{"key":"10.3233\/JIFS-234102_ref38","first-page":"14","article-title":"Air traffic flow management under emission policies: Analyzing the impact of sustainable aviation fuel and different carbon prices","volume":"166","author":"Hamdan","year":"2022","journal-title":"Transportation Research Part A: Policy and Practice"},{"key":"10.3233\/JIFS-234102_ref39","doi-asserted-by":"crossref","first-page":"102304","DOI":"10.1016\/j.resourpol.2021.102304","article-title":"Th e dynamic effects of international oil price shocks on economic fluctuation","volume":"74","author":"Gong","year":"2021","journal-title":"Resources Policy"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-234102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:43:09Z","timestamp":1777455789000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-234102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,10]]},"references-count":33,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.3233\/jifs-234102","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,10]]}}}