供應(yīng)鏈數(shù)字化與企業(yè)韌性

——基于雙重機器學(xué)習的因果推斷檢驗

打開文本圖片集

中圖分類號：F832.51；F274；F49 文獻標識碼：A

文章編號：1007-5097（2025）05-0100-10

DigitalizationoftheSupplyChainandBusinessResilience： Causal Inference Testing Based on Double MachineLearning

XIAO Xia， LIANG Mengru

（School of Economics and Finance，South China Universityof Technology，Guangzhou 5114oo，China）

Abstract：Asthecomplexityof theglobal economycontinues to grow，advancing digitalizationof thesupplychainhas become acrucial driver for enhancingacompany'scompetitiveedge.Thearticle employs the double machine learning approach and the diference-in-diferences （DID） model，draws on the practical experience of China'ssupplychain innovationandapplication pilotprojects，andreliesondata fromA-share listedcompanies in ShanghaiandShenzhen from 2008to 2O23，toanalyzethe impactof supplychain digitalizationonbusiness resilience.According totheresearch findings，digitalizationofthesupplychainpositivelyenhances businessresilience.This isprimarilydue tothedual optimizationof technological innovationandmanagementeficiency，andthisconclusionisvalidintherobustess test. Thefurther research reveals significant heterogeneityin this efect.The empowering impactof supplychain digitalization is more pronounced inregions with well-developed Internetinfrastructure and higherlevelof marketization，andamong largerand non-state-owned enterprises.Theresearch conclusionprovidesa scientificbasis for practical policy formulation and corporate strategy adjustments.

KeyWords：supplychaindigitalization;businessresilience;technological innovation;managementeficiency;double machine learning

一、引言

近年來，全球經(jīng)濟環(huán)境不確定性顯著增強，國際形勢多變、逆全球化趨勢深化以及地緣政治格局復(fù)雜演變，使企業(yè)的生存與可持續(xù)發(fā)展面臨嚴峻挑戰(zhàn)[]。（剩余15729字）