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This study is based on multi-source big data, such as Tencent user density (TUD) data and point of interest (POI) data, to calculate the different influencing factors, and employed a multiscale geographically weighted regression (MGWR) model to explore their spatial non-stationarity impact on China\u2019s county economic development. The results showed that the multi-source big data can be useful to calculate the influencing factor of China\u2019s county economy because they have a significant correlation with county GDP and have a good models fitting performance. Besides, the MGWR model had prominent advantages over the ordinary least squares (OLS) and geographically weighted regression (GWR) models because it could provide covariate-specific optimized bandwidths to incorporate the spatial scale effect of the independent variables. Moreover, the effects of various factors on the development of the county economy in China exhibited obvious spatial non-stationarity. In particular, the Yangtze River Delta, the Pearl River Delta, and the Beijing-Tianjin-Hebei urban agglomerations showed different characteristics. The findings revealed in this study can furnish a scientific foundation for future regional economic planning in China.<\/jats:p>","DOI":"10.3390\/ijgi12030109","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T01:35:30Z","timestamp":1678066530000},"page":"109","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Spatial Non-Stationarity of Influencing Factors of China\u2019s County Economic Development Base on a Multiscale Geographically Weighted Regression Model"],"prefix":"10.3390","volume":"12","author":[{"given":"Ziwei","family":"Huang","sequence":"first","affiliation":[{"name":"School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China"},{"name":"School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4703-5660","authenticated-orcid":false,"given":"Shaoying","family":"Li","sequence":"additional","affiliation":[{"name":"School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihuan","family":"Peng","sequence":"additional","affiliation":[{"name":"Guangdong Centre for Marine Development Research, Guangzhou 510220, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Gao","sequence":"additional","affiliation":[{"name":"Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510030, China"},{"name":"Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou 510060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1080\/10824009909480523","article-title":"A Spatial Econometric Examination of China\u2019s Economic Growth","volume":"5","author":"Lesage","year":"1999","journal-title":"Ann. 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