<?xml version="1.1" encoding="utf-8"?>
<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">ASDS</journal-id><journal-title-group><journal-title>Applied Statistics and Data Science</journal-title></journal-title-group><issn>3066-8433</issn><eissn>3066-8441</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ASDS.2025060019</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>FDI 对GDP影响案例分析：基于部分线性单指标面板无交叉分位数回归模型</title><url>https://artdesignp.com/journal/ASDS/1/6/10.61369/ASDS.2025060019</url><author>方艳,陈高昂,范彩云</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>1</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-08-20</published-time></date></history><abstract>本文基于64个国家2010-2020年间的面板数据，构建部分线性单指标面板无交叉分位数回归模型，系统分析外商直接投资及其他宏观经济变量对经济增长的分布异质性影响机制。实证结果显示FDI在各分位点均对人均GDP具有显著正向影响，且该作用在中高分位区间更为显著；贸易、汇率等变量对经济增长的影响具有分位异质性，呈现出在不同经济发展阶段下的非对称结构效应；商品与服务出口的边际效应最为显著，其估计系数的绝对值最大。本文研究不仅为揭示FDI 作用机制提供了新的计量工具，也为发展中国家制定更具分层性的FDI引导与宏观调控政策提供了量化依据。</abstract><keywords>外商直接投资,经济增长,面板无交叉分位数回归,部分线性单指标,高维数据</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 吴湧超. 外商直接投资与中国经济增长的实证分析[J]. 财经理论与实践, 2004, (03):119-122.&amp;nbsp;[2] 白俊红, 吕晓红. FDI质量与中国经济发展方式转变[J]. 金融研究, 2017, (05):47-62.&amp;nbsp;[3] 李磊, 冼国明, 包群. &amp;ldquo;引进来&amp;rdquo;是否促进了&amp;ldquo;走出去&amp;rdquo;?&amp;mdash;&amp;mdash;外商投资对中国企业对外直接投资的影响[J]. 经济研究, 2018, 53(03):142-156.&amp;nbsp;[4]Zaman, K., 2018. The impact of hydro-biofuel-wind energy consumption on environmental cost of doing business in a panel of BRICS countries: evidence from three-stage least squares estimator. Environmental Science and Pollution Research, 25, pp.4479-4490.&amp;nbsp;[5]Daliri, H., 2021. Does Foreign Direct Investment always Generate Economic Growth?: Evidence from the Panel Quantile Regression Model. Iranian Journal of Economic Studies, 10(1), pp.81-102.&amp;nbsp;[6] 罗雨森, 路正南. 环境规制视角下双向FDI对中国经济增长质量的影响[J]. 统计与决策, 2022, 38(04):169-173.&amp;nbsp;[7] 陈晓林, 薛军, 陈培如. 市场规模、劳动力禀赋与外商直接投 资模式&amp;mdash;&amp;mdash;来自我国双向投资的证据[J]. 统计研究, 2024, 41(09):86-100.&amp;nbsp;[8] 陈峰, 杨艳艳, 张萍. 基于空间杜宾模型（SDM）的中国低碳发展溢出和调节效应实证研究[J]. 中国管理科学, 2025, 33(05):45-53.&amp;nbsp;[9]Tiwari, A.K., 2011. Foreign aid, FDI, economic freedom and economic growth in Asian countries. Global Economy Journal, 11(3).&amp;nbsp;[10]Zhu, H., Duan, L., Guo, Y., and Yu, K., 2016. The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: evidence from panel quantile regression. Economic Modelling, 58, pp.237-248.&amp;nbsp;[11]Cai, Z., Chen, L., and Fang, Y., 2018. A semiparametric quantile panel data model with an application to estimating the growth effect of FDI. Journal of Econometrics, 206(2), 531-553.&amp;nbsp;[12]Hou, L., Li, K., Li, Q., and Ouyang, M., 2021. Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks. Journal of Econometrics, 221(2), pp.483-509.&amp;nbsp;[13]Sasaki, Y., Takahashi, Y., Xin, Y., and Hu, Y., 2023. Dynamic discrete choice models with incomplete data: Sharp identification. Journal of Econometrics, 236(1), p.105461.&amp;nbsp;[14] Fang, Y. Estimation and Inference in Partially Linear Single-Index Panel Non-Crossing Quantile Regression Model. Working paer.&amp;nbsp;[15]Kottaridi, C., and Stengos, T., 2010. Foreign direct investment, human capital and non-linearities in economic growth. Journal of Macroeconomics, 32(3), pp.858-871.&amp;nbsp;[16]Fisher, L.A., and Huh, H.S., 2016. Monetary policy and exchange rates: Further evidence using a new method for implementing sign restrictions. Journal of Macroeconomics, 49, pp.177-191.&amp;nbsp;[17]Yu, Y., and Ruppert, D., 2002. Penalized spline estimation for partially linear single-index models. Journal of the American Statistical Association, 97(460), pp.1042-1054.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
