i金融科技賦能中國銀行數(shù)字化轉(zhuǎn)型的建議筑牢技術(shù)底座攻堅堡壘建立統(tǒng)一技術(shù)架構(gòu)，制定統(tǒng)一的技術(shù)標準和規(guī)范，確保新老系統(tǒng)間的兼容性與數(shù)據(jù)流通順暢，解決不同技術(shù)系統(tǒng)和平臺的整合難題。推進系統(tǒng)升級與云化，加速核心系統(tǒng)升級，采用云計算技術(shù)，提高系統(tǒng)的靈活性、可擴展性和資源利用效率，降低運營成本。深化數(shù)據(jù)要素價值釋放，建立“數(shù)據(jù)資產(chǎn)交易平臺”，實現(xiàn)跨部門數(shù)據(jù)確權(quán)與定價，2025年完成普惠金融、跨境金融等5大領(lǐng)域數(shù)據(jù)互通。升級“數(shù)據(jù)縱橫”平臺，引入聯(lián)邦學(xué)習技術(shù)，在保護隱私前提下實現(xiàn)銀政數(shù)據(jù)融合。復(fù)制江蘇“蘇質(zhì)貸”經(jīng)驗，2025年在全國30個省份推廣“質(zhì)量認證+專利價值”授信模式。進行算力資源的彈性調(diào)度，優(yōu)化“四地多中心”算力分配，東部沿海分行新增AI服務(wù)器，支撐實時風控與智能投顧。強化監(jiān)管風險前瞻應(yīng)對中國銀行應(yīng)強化合規(guī)管理，應(yīng)對監(jiān)管挑戰(zhàn)。一方面，建立動態(tài)合規(guī)監(jiān)測體系，中國銀行應(yīng)利用金融科技手段，建立動態(tài)的合規(guī)監(jiān)測體系。通過大數(shù)據(jù)分析技術(shù)，實時收集和分析監(jiān)管政策法規(guī)的變化，以及業(yè)務(wù)運營中的各類數(shù)據(jù)，及時發(fā)現(xiàn)潛在的合規(guī)風險。運用自然語言處理技術(shù)對監(jiān)管文件進行解析，提取關(guān)鍵合規(guī)要點，并與銀行內(nèi)部業(yè)務(wù)流程進行匹配，確保業(yè)務(wù)操作符合最新的監(jiān)管要求。針對跨境業(yè)務(wù)，密切關(guān)注不同國家和地區(qū)的監(jiān)管政策差異，提前做好合規(guī)應(yīng)對準備。另一方面，加強與監(jiān)管機構(gòu)的溝通協(xié)作，主動與監(jiān)管機構(gòu)保持密切的溝通與協(xié)作，建立常態(tài)化的信息交流機制。定期向監(jiān)管機構(gòu)匯報中國銀行在金融科技應(yīng)用和數(shù)字化轉(zhuǎn)型過程中的進展和成果，積極尋求監(jiān)管指導(dǎo)和支持。參與監(jiān)管規(guī)則的制定和研討，從行業(yè)實踐的角度為監(jiān)管機構(gòu)提供建議，推動監(jiān)管政策的完善和優(yōu)化。例如，在數(shù)字人民幣試點和跨境結(jié)算業(yè)務(wù)中，與央行等監(jiān)管機構(gòu)緊密配合，共同探索合規(guī)的業(yè)務(wù)模式和監(jiān)管方式。中國銀行還應(yīng)進一步提升風險防控能力。構(gòu)建智能化風控體系，進一步完善基于大數(shù)據(jù)和人工智能的智能化風控體系，提高風險識別和預(yù)警的準確性和及時性。整合內(nèi)外部數(shù)據(jù)資源，包括客戶交易數(shù)據(jù)、信用數(shù)據(jù)、市場數(shù)據(jù)等，運用機器學(xué)習算法構(gòu)建風險評估模型，對各類風險進行量化分析和預(yù)測。在信貸業(yè)務(wù)中，利用智能風控模型實時監(jiān)測客戶的還款能力和信用狀況，提前預(yù)警潛在的違約風險。加強對金融科技應(yīng)用過程中的風險監(jiān)測，對區(qū)塊鏈技術(shù)在跨境支付中的應(yīng)用進行風險評估，防范技術(shù)漏洞和安全隱患。同時，加強數(shù)據(jù)安全與隱私保護，高度重視數(shù)據(jù)安全和隱私保護，建立健全的數(shù)據(jù)安全管理體系。加大在數(shù)據(jù)加密、訪問控制、數(shù)據(jù)備份等方面的技術(shù)投入，確?？蛻魯?shù)據(jù)的安全性和完整性。制定嚴格的數(shù)據(jù)使用規(guī)范和審批流程，明確數(shù)據(jù)的所有權(quán)和使用權(quán)，防止數(shù)據(jù)泄露和濫用。在與第三方機構(gòu)合作開展金融科技項目時，簽訂詳細的數(shù)據(jù)安全協(xié)議，明確雙方的數(shù)據(jù)安全責任和義務(wù)。加強員工的數(shù)據(jù)安全意識培訓(xùn)，提高員工對數(shù)據(jù)安全風險的認識和防范能力。推進組織人才系統(tǒng)變革中國銀行雖已在組織架構(gòu)上做出調(diào)整，如整合設(shè)立業(yè)務(wù)研發(fā)部，增設(shè)軟件中心分中心。在此基礎(chǔ)上，應(yīng)進一步構(gòu)建以客戶為中心的敏捷組織體系。在產(chǎn)品研發(fā)流程中，設(shè)立跨部門的敏捷項目組，涵蓋業(yè)務(wù)、技術(shù)、風控、合規(guī)等專業(yè)人員。以開發(fā)智能財富管理平臺項目為例，從各部門抽調(diào)精英，賦予項目組充分決策權(quán)，減少層層匯報審批，加快產(chǎn)品迭代速度，迅速響應(yīng)市場與客戶需求。同時，搭建內(nèi)部溝通協(xié)作平臺，打破部門壁壘，實現(xiàn)信息實時共享，提高跨部門協(xié)作效率。持續(xù)提升金融科技部在銀行組織架構(gòu)中的戰(zhàn)略高度，提高科技部門地位，強化戰(zhàn)略引領(lǐng)。在資源分配上，加大對金融科技研發(fā)的資金投入，確保每年科技投入占營業(yè)收入比例穩(wěn)步提升。在重大業(yè)務(wù)決策中，充分發(fā)揮金融科技部的專業(yè)優(yōu)勢，讓其深度參與銀行戰(zhàn)略規(guī)劃制定。如在布局數(shù)字人民幣跨境業(yè)務(wù)拓展戰(zhàn)略時，金融科技部憑借對技術(shù)趨勢和應(yīng)用場景的深刻理解，提供前瞻性建議，助力銀行搶占市場先機。同時，加大金融科技人才引進力度。從校園招聘和社會招聘兩方面發(fā)力。在校園招聘中，與重點高校的計算機科學(xué)、軟件工程、金融科技等相關(guān)專業(yè)建立長期合作，設(shè)立專項獎學(xué)金，吸引優(yōu)秀學(xué)生。2025年第一批錄用名單中，已有不少高校畢業(yè)生加入，后續(xù)應(yīng)繼續(xù)擴大招聘規(guī)模，并針對金融科技崗位制定專門的培養(yǎng)計劃。在社會招聘中，瞄準互聯(lián)網(wǎng)科技企業(yè)、金融科技獨角獸公司的高端人才，提供具有競爭力的薪酬待遇和廣闊的職業(yè)發(fā)展空間，吸引其加入中國銀行，為數(shù)字化轉(zhuǎn)型注入新鮮血液。此外，加強內(nèi)部員工金融科技培訓(xùn)。針對不同崗位員工開展分層分類培訓(xùn)。對業(yè)務(wù)人員，開設(shè)區(qū)塊鏈金融應(yīng)用、大數(shù)據(jù)分析基礎(chǔ)等課程，使其理解金融科技原理與應(yīng)用場景，更好地將科技與業(yè)務(wù)融合，如在開展供應(yīng)鏈金融業(yè)務(wù)時能運用區(qū)塊鏈技術(shù)優(yōu)化流程。對科技人員，提供金融業(yè)務(wù)知識培訓(xùn)，幫助他們深入了解銀行業(yè)務(wù)需求，開發(fā)出更貼合實際的金融科技產(chǎn)品。同時，定期組織內(nèi)部培訓(xùn)、專家講座、在線學(xué)習等活動，鼓勵員工自主學(xué)習金融科技知識，提升整體金融科技素養(yǎng)。通過完善人才激勵機制，激發(fā)創(chuàng)新活力。構(gòu)建多元化的激勵體系，除物質(zhì)獎勵外，注重精神激勵和職業(yè)發(fā)展激勵。設(shè)立金融科技專項獎勵基金，對在數(shù)字化轉(zhuǎn)型項目中做出突出貢獻的團隊和個人給予高額獎金。在職業(yè)發(fā)展方面，為金融科技人才開辟晉升快車道，設(shè)立技術(shù)專家序列，讓技術(shù)人才專注技術(shù)研發(fā)也能獲得良好職業(yè)發(fā)展。如在數(shù)字人民幣跨境結(jié)算項目取得重大突破后，對核心團隊成員給予晉升、獎金等多重獎勵，激發(fā)員工投身金融科技創(chuàng)新的積極性。結(jié)論本研究系統(tǒng)探討了金融科技對中國銀行數(shù)字化轉(zhuǎn)型的賦能機制與實踐路徑。通過實證分析發(fā)現(xiàn)，中國銀行通過深度整合大數(shù)據(jù)、人工智能與區(qū)塊鏈技術(shù)，構(gòu)建了“技術(shù)嵌入-場景融合-生態(tài)重構(gòu)”的數(shù)字化轉(zhuǎn)型體系，在業(yè)務(wù)流程優(yōu)化、風險控制升級與客戶服務(wù)創(chuàng)新方面取得顯著成效。“中銀數(shù)字函證3.0”系統(tǒng)將傳統(tǒng)函證處理周期從10個工作日壓縮至15小時內(nèi)，風險預(yù)警系統(tǒng)的異常交易攔截準確率提升至98.7%，手機銀行月活用戶增長率達11.59%，跨境人民幣結(jié)算規(guī)模突破7422億元，驗證了金融科技在效率提升與價值創(chuàng)造中的核心作用。然而，數(shù)字化轉(zhuǎn)型進程中仍面臨多重挑戰(zhàn)。技術(shù)層面，傳統(tǒng)集中式架構(gòu)與云原生技術(shù)的代際鴻溝導(dǎo)致創(chuàng)新滯后，數(shù)字人民幣智能合約等關(guān)鍵技術(shù)落地較同業(yè)延遲12-18個月；數(shù)據(jù)安全領(lǐng)域，量子計算威脅下的加密技術(shù)脆弱性凸顯，現(xiàn)有防護體系在量子攻擊場景下的數(shù)據(jù)泄露風險概率高達47%；人才結(jié)構(gòu)方面，科技人員占比僅為4.78%，復(fù)合型“金融科技工程師”缺口達40%，基層員工數(shù)字化技能普及率不足60%，嚴重制約技術(shù)轉(zhuǎn)化效率。此外，跨境數(shù)據(jù)流動合規(guī)壓力與監(jiān)管政策動態(tài)調(diào)整進一步加劇了轉(zhuǎn)型復(fù)雜性。為突破瓶頸，中國銀行需構(gòu)建系統(tǒng)性支撐體系。技術(shù)攻堅方面，應(yīng)加速分布式核心系統(tǒng)升級與抗量子密碼（PQC）研發(fā)，2025年前完成普惠金融、跨境金融等5大領(lǐng)域數(shù)據(jù)互通，并通過算力彈性調(diào)度支撐實時風控與智能投顧；監(jiān)管應(yīng)對層面，需利用自然語言處理（NLP）技術(shù)構(gòu)建動態(tài)合規(guī)監(jiān)測體系，強化跨境業(yè)務(wù)中的隱私計算與區(qū)塊鏈審計，平衡創(chuàng)新與風險；組織革新方面，可通過“科技+業(yè)務(wù)”混編柔性組織縮短決策鏈條，以“校園-社會”雙軌招聘擴大科技人才儲備，計劃2025年將科技投入占比提升至4.2%，研發(fā)人員占比增至12.5%，同時完善數(shù)字化技能培訓(xùn)體系，激發(fā)基層創(chuàng)新活力。本研究不僅拓展了金融科技與銀行數(shù)字化轉(zhuǎn)型的交叉理論框架，提出“技術(shù)賦能-生態(tài)重構(gòu)-價值共創(chuàng)”分析模型，更為銀行業(yè)實踐提供了可復(fù)制的轉(zhuǎn)型路徑。中國銀行的案例表明，數(shù)字化轉(zhuǎn)型需以技術(shù)迭代為基礎(chǔ)、生態(tài)協(xié)同為紐帶、組織進化為保障，三者缺一不可。未來研究可進一步量化評估金融科技投入產(chǎn)出效能，并對比國有大行與中小銀行的轉(zhuǎn)型差異，以完善銀行業(yè)數(shù)字化轉(zhuǎn)型的普適性理論，為全球金融業(yè)數(shù)字化發(fā)展貢獻中國經(jīng)驗。

參考文獻[1]ChenWen,WuWeili,ZhangTonghui,Fintechdevelopment,firmdigitalization,andbankloanpricing[J].JournalofBehavioralandExperimentalFinance,2023.[2]DigitalFinanceInstitute.IranianandCanadianFirmsJoinForcesforIran's1stFinTech,Banking,BusinessOpportunitiesandTradeConference[J].JournalofEngineering,2015.[3]LiGang,ElahiEhsan,ZhaoLiangliang,Fintech,BankRisk-Taking,andRisk-WarningforCommercialBanksintheEraofDigitalTechnology.[J],Frontiersinpsychology,2022.[4]VirginiaM?r?cine,OonaVoican,EmilScarlat.TheDigitalTransformationandDisruptioninBusinessModelsoftheBanksundertheImpactofFinTechandBigTech[J].ProceedingsoftheInternationalConferenceonBusinessExcellence,2020.1.[5]ZhuYongjie,Enterpriselifecycle.financialtechnologyanddigitaltransformationofbanks—EvidencefromChina[J].AustralianEconomicPapers,2023.3.[6]陳國紅.科技讓金融更開放——金融科技驅(qū)動商業(yè)銀行數(shù)字化轉(zhuǎn)型的思考[J].銀行家，2019.1.[7]蔡普華.汪偉,鄭穎,阮超,金融科技發(fā)展與商業(yè)銀行數(shù)字化轉(zhuǎn)型：影響與建議[J].新金融，2021.11.[8]丁蔚.數(shù)字金融:商業(yè)銀行的未來轉(zhuǎn)型發(fā)展之路[J].清華金融評論，2016.4.[9]郭曉蓓，鄧宇,施元雪.商業(yè)銀行數(shù)字化轉(zhuǎn)型路徑[J].中國金融，2020.1.[10]何理,馮科,劉雨峰.金融科技發(fā)展水平對商業(yè)銀行風險承擔的影響[J].西南金融，2022.8.[11]李峰.金融科技與商業(yè)銀行創(chuàng)新發(fā)展趨勢分析[J].產(chǎn)業(yè)創(chuàng)新研究，2018.3.[12]陸岷峰,虞鵬飛.金融科技與商業(yè)銀行創(chuàng)新發(fā)展趨勢[J].銀行家，2017.4.[13]陸岷峰,周軍煜.金融科技驅(qū)動商業(yè)銀行變革的進程、特性及愿景[J].福建金融，2020.1.[14]穆紅梅,鄭開焰.商業(yè)銀行數(shù)字化轉(zhuǎn)型的國際經(jīng)驗與我國策略[J].亞太經(jīng)濟，2021.1.[15]施玉佩.金融科技背景下商業(yè)銀行數(shù)字化轉(zhuǎn)型的案例分析[J].技術(shù)與市場，2021.4.[16]沙思穎,張笑.金融科技推動商業(yè)銀行數(shù)字化轉(zhuǎn)型[J].價值工程，2019；[17]孫娜.新形勢下金融科技對商業(yè)銀行的影響及對策[J].宏觀經(jīng)濟管理，2018.4.[18]王炯.商業(yè)銀行的數(shù)字化轉(zhuǎn)型[J].中國金融，2018.[19]王鵬虎.商業(yè)銀行數(shù)字化轉(zhuǎn)型[J].中國金融，2018.[20]韋顏秋,黃旭,張煒.大數(shù)據(jù)時代商業(yè)銀行數(shù)字化轉(zhuǎn)型[J].銀行家家，2017.2.[21]項慧玲.金融科技引領(lǐng)商業(yè)銀行未來：轉(zhuǎn)型現(xiàn)狀及應(yīng)用前景分析[J].未來與發(fā)展，2020.1.[22]謝治春,趙興廬,劉媛.金融科技發(fā)展與商業(yè)銀行的數(shù)字化戰(zhàn)略轉(zhuǎn)型[J].中國軟科學(xué)，2018,8.[23]余麗霞,李政翰.金融科技對商業(yè)銀行盈利能力和經(jīng)營風險的影響研究——基于文本挖掘的實證檢驗[J].金融監(jiān)管研究，2023.4.[24]楊景陸,粟勤.數(shù)字金融發(fā)展與中小銀行風險——基于我國117家商業(yè)銀行的經(jīng)驗證據(jù)[J].南方金融，2023.3.[25]余靜文,吳濱陽.數(shù)字金融與商業(yè)銀行風險承擔——基于中國商業(yè)銀行的實證研究[J].產(chǎn)經(jīng)評論，2021.4.[26]鄭劍輝.我國商業(yè)銀行綠色金融數(shù)字化轉(zhuǎn)型研究[J].西南金融，2022.9.[27]張燁寧,王碩.金融科技對商業(yè)銀行數(shù)字化轉(zhuǎn)型的影響機制——基于中介效應(yīng)模型的實證研究[J].武漢金融，2021.11.[28]鄭劍輝,陳科.金融科技在商業(yè)銀行數(shù)字化轉(zhuǎn)型的應(yīng)用研究[J].商業(yè)經(jīng)濟，2021.4.[29]趙丹丹.我國商業(yè)銀行普惠金融數(shù)字化轉(zhuǎn)型研究[J].西南金融，2020.12.[30]曾剛,李重陽.商業(yè)銀行數(shù)字化轉(zhuǎn)型的難點與路徑[J].銀行家,2020.1.[31]張哲宇,文巧甜.商業(yè)銀行應(yīng)用金融科技的實踐與思考[J].金融縱橫，2019.6.

附錄外文資料Digitalfinancialdevelopmentandcommercialbankstability1.IntroductionIntoday'sglobaleconomy,digitalfinanceisincreasinglyinfluential,profoundlyaffectseveryaspectofoursociety,propelledbytechnologicaladvancementsliketheinternet,bigdata,artificialintelligence,andblockchain.Thesetechnologiesarebecomingintegraltodailylifebyofferingmoreaccessible,efficient,cost-effectivefinancialservices.Thisshiftenhancesfinancialinclusionandprovidesnewopportunitiesforcommercialbanks.Aspivotalentitiesinthefinancialsystem,commercialbanksthatdevelopclear,actionabledigitalstrategiescansecureacompetitiveedgeinthedigitaleconomy.Furthermore,thestabilityofcommercialbanksisofutmostsignificanceinsafeguardingtheoverallstabilityofthefinancialsystemandfosteringsustainableeconomicgrowth.Inthemidstofthedigitalfinancerevolution,itiscrucialtoupholdtheresilientoperationofthesebankswhilesimultaneouslystrengtheningriskmanagementframeworksacrossalldimensions.Thisdualfocusoninnovation,efficiency,androbustriskmanagementiscriticaltoavertfinancialrisks,safeguardconsumerrightsandinterests,andfosterthehealthyprogressionofcommercialbankinginstitutions.Bystrikingthisdelicatebalance,wecanensurethesustainedprosperityofboththebankingsectorandthebroadereconomy.2.ResearchhypothesisDigitalfinancialinclusionlowerscreditriskforcommercialbanks(Ruan&Jiang,2024)andacceleratesthestabilizationoftheASEANbankingsector(Banna&Alam,2021).Researchindicatesthatdigitalfinancialinclusionhasapositiverelationshipwithbankstability(measuredbythez-score)andanegativecorrelationwithnon-performingloans(Chinoda&Kapingura,2023).Inthecontextofevolvingregulatorylandscapes,economicfluctuations,andenvironmentalcomplexities,thebankingindustryhasundergonesubstantialchanges(Shabiretal.,2024).Traditionalcommercialbankmodelsoftensufferfromlimitedinteractionwithcustomersandinadequatepost-transactiontrackingsystems,hinderingtheirabilitytofullyunderstandcustomerneedsandsatisfaction.Consequently,itbecomeschallengingtoenhanceservicesbasedoncustomerfeedback.However,theadvancementofdigitalfinancehasnotablyreducedcorporatefinancialfraud(Sunetal.,2023).Thisdevelopmenthasempoweredcommercialbankstoofferquicker,moreconvenient,andtailoredservices,significantlyboostingcustomersatisfactionandloyalty.Inturn,thishelpsstabilizetheirdepositbase,expandstheirbusinessscope,andfostersthestablegrowthofcommercialbanks.Existingstudieshaveshownthatcashflowfromoperationsandnetprofitabilitysignificantlyandpositivelyaffectthefinancialstabilityofbanks(Elahietal.,2021),diversificationoffundsandassetscontributespositivelytothestabilityofbanks(Abbas&Ali,2022)andthatcommercialbankstabilityispositivelyrelatedtoprofitabilityefficiency(Miahetal.,2019).Mohamedetal.discernedanoteworthyfinding:amongtheCAMELratingindicators,profitabilityemergedasthesolitaryvariablewithastatisticallysignificantinfluenceonthefinancialstabilityofKenyancommercialbanks(Mohamedetal.,2023).Therefore,thisstudychoseprofitabilityasameasureofcommercialbankstability.TheDFDhasenabledcommercialbankstocoveramorecomprehensivegeographicrangeofservices,increasingthepotentialsourcesofprofitabilityandhelpingthemdiversifytheirmarketrisk.Atthesametime,theDFDhasenabledbankstoanalyzelargeamountsofcustomerdatamoreefficiently,improvingtheaccuracyoftheircreditdecision-makingandcontributingtothestabilityofcommercialbanks.Banksizeandnetprofitmarginsignificantlypositivelyaffectbankstability.Incontrast,interestrecapitulationsignificantlynegativelyaffectsbankstability(Yensuetal.,2021).Afterconductingresearch,certainscholarsfoundthattherelationshipbetweenfinancialinnovationandsystemicriskdisplaysalinearcorrelation,positivelyaffectingthestabilityofChinesebanks(Chen&Du,2016).Consequently,thisstudyselectsrisk-takingcapacityasanadditionalindicatortoassessthestabilityofcommercialbanks.Theevolutionofdigitalfinanceenablescommercialbankstogatherandanalyzeextensivedatathroughvariouschannels,breakingthroughthepastdependenceonasingledatasource,allowingcommercialbankstogainamorecomprehensiveinsightintomarkettrends,customerneeds,andthecompetitiveenvironment,thusimprovingservicequality,optimizingtheeffectivenessofcreditriskmanagement,andtheabilityofcommercialbankstobearriskshasbeenenhanced.TheDFDhasimprovedcommercialbanks'profitabilityandrisk-takingcapacity,thuscontributingtotheirstability.Asdigitalfinancerapidlyprogresses,itisrevolutionizingtraditionalbankingmodels,presentingfreshchallengesandinfluencingtheoperationalefficiencyofcommercialbanks.Existingresearchindicatesthatdigitalfinancesubstantiallyreducestherelianceoncommercialcreditfinancing,particularlyforsmallandmedium-sizedenterprises(SMEs)(Lin&Dong,2024).Furthermore,thereisastronglinkbetweendigitalpayments,financialinclusion,andtheoperationalefficiencyoffinancialinstitutions(Mavlutovaetal.,2022).Byleveragingnetworktechnology,bankscanenhancetheiroperationalefficiencyandservicequality(Uddinetal.,2020).Additionally,digitalfinancehasapositiveimpactontheoperationalefficiencyofChina'slistedcommercialbanks(Wang&Li,2023).Byutilizingadvanceddataanalytics,commercialbankscanimprovetheirabilitytoidentifyandevaluatecreditrisks,aswellasmonitormarketandoperationalrisksinreal-time,improveoperationalefficiency,reducerisks,andincreasebusinesscredit(Luoetal.,2023).Digitaltoolshavehelpedbankscomplymoreeffectivelywithregulatoryrequirementsandimprovetheaccuracyandtimelinessofreporting.TheDFDhasenabledcommercialbankstoreduceerrorsandlowerlabourcostsbyautomatingtheprocessingoftransactions.Asmorecustomersadoptonlinebankingservices,theneedforphysicalbankbranchesisreduced,withacorrespondingreductioninthecostofmaintainingphysicalinfrastructure.Atthesametime,DFDenablesbankstoprovideservicesaroundtheclock,andcustomerscanconducttransactionsandinquiriesanytimeandanywhere,whichimprovescustomersatisfactionandloyalty.DFDfostersthecreationofvariousnewfinancialproducts(Wang&Liu,2024),includingmobilepaymentandblockchaintechnology,amongothers.Theseinnovationsnotonlycatertothediverseneedsofcustomersbutalsogenerateafreshrevenuestreamforbanks.Essentially,theDFDhassignificantlyimprovedtheoperationalefficiencyofcommercialbanksbyoptimizingprocessesandsubsequentlyloweringoperationalcosts,improvingserviceefficiency,enhancingdatamanagementcapabilities,andpromotingproductinnovation,whichhelpstoenhancethecommercialbanksstability.OperationalefficiencymediatesthelinkbetweenDFDandcommercialbankstability,andDFDcontributestooperationalefficiency,effectivelyimprovingcommercialbankstability.Comparedtothecentralandwesternregions,theeasternregionofChinaboastsamoredevelopedfinancialinfrastructureandadvancedtechnologicalapplications.Additionally,itholdsahigherconcentrationoffinancialandhumanresources.Thisenablescommercialbanksintheeasternregiontosecuremoresupportandinvestmentfordigitalfinancialoperations,andtomoreeffectivelyutilizedigitalfinancialtoolsforriskmanagementandbusinessexpansion.Consequently,theycanbetterachievebusinesstransformationandinnovation,significantlyenhancingtheirrisk-takingcapacity.Conversely,thecentralandwesternregions,duetotheirrelativescarcityoffinancialandhumanresources,experiencealesssignificantimpactofDFDontherisk-takingcapacityofcommercialbankscomparedtotheeast.3.Data,variables,andmethodologyThisstudyprimarilyexaminesunbalancedpaneldatafrom2010to2021,including187commercialbanksinChina,whileaccountingforanymissingdata,theannualreportsofeachcommercialbankareusedtofillinthemissingvaluesmanually,andthentheinternalandexternalinterpolationareusedtofillintheremainingmissingvalues,andthefinalsampledataof1798areobtained.TheinformationonDFDutilizedinthispaperoriginatesfromtheDigitalInclusiveFinanceIndex,formulatedbytheDigitalEconomyandFinanceResearchCenteratPekingUniversity'sNationalDevelopmentResearchInstitute.SupplementarydatapertainingtocommercialbankshasbeensourcedfromtheWinddatabase.Tomitigatethepotentialdistortionsintroducedbyoutliervalues,weemployarobustdatapreprocessingstep,involvingtheapplicationofa1%winsorizationtoboththelowestandhighestvaluesacrossallvariablesinthesample.Byadoptingthismethod,weensurethatouranalysisreliesonamoreconsistentandrepresentativedataset,ultimatelyenhancingthevalidityandreliabilityofourconclusions.CommercialBankStability(CBS):Thispaperexaminescommercialbankstabilityintermsofprofitabilityandrisk-takingcapacity.Profitability(EC)isassessedusingthenetinterestmargin,whichevaluatestheefficiencyofabank'sdeposit-loanandinterbankactivities.Ahighernetinterestmarginindicatesimprovedprofitabilityandreinforcesthebank'sstability.Risk-takingcapacity(RTC)isquantifiedbytheZ-value,whichprimarilyassessesthebank'sinsolvencyriskandprovidesacomprehensiveviewofitsoperationalstatus.AhigherZ-valuesuggestsgreaterrisk-takingcapacityandstabilitywithinthebank.4.EmpiricalanalysisTable2presentsthedescriptivestatisticsforthevariablesstudied.Theanalysisrevealsthattheaverageprofitabilityofcommercialbanksis2.505%,rangingfromaminimumof0.521%toamaximumof5.433%.Theaveragerisk-takingcapacityofthesebanksisnotedat146.483,withvaluesrangingfrom12.485to1242.836andastandarddeviationof181.653,suggestinglowandvariedstabilityamongthebanksstudied.TheaverageDFDindexstandsat2.956,withaminimumof0.403andamaximumof4.451,reflectingsignificantregionalvariations.Operationalefficiencyaveragesat0.034,rangingfrom0.009to0.302,indicatingbothsubstantialvariationandgenerallylowlevels,thisindicatespotentialforenhancingtheoperationalefficiencyofcommercialbanks.Thedescriptivestatisticsforothervariablesaligncloselywithexistingstudies,confirmingtherationalselectionofdataforthisresearch,whichestablishesasolidbasisforfurtherregressionanalysis.Table3

displaysbaselineregressionfindingsonhowDFDinfluencesthestabilityofcommercialbanks.Column(1)revealsasignificant,positiveeffectofdigitalfinanceonbankprofitability(coefficient:0.336,p

<

0.05),enhancingprofitability.Column(2)demonstratesanotableincreaseinbanks'risk-takingcapacity(coefficient:0.737,p

<

0.01),fosteringresilience.Thesefindingsunderscoredigitalfinance'sdualroleinbolsteringprofitabilityandriskmanagement,therebystrengtheningbankstabilityinlinewithHypothesis1.Furthermore,anotableinverserelationshipexistsbetweenthenon-performingloanratioandbankstability.Non-performingloansnotonlyreducethebank'sabilitytoearnprofitthroughinterestincomebutalsoneedtosetupimpairmentallowancesfortheseloans,whichfurtherreducesthebank'snetincome,andahighrateofnon-performingloansalsoincreasesthebank'soperatingcostsofdebtcollectionandassetdisposal,whichfurthererodesthebank'sprofitability,thusweakeningthebank'sStability.5.ConclusionThisstudyexaminestheinfluenceofDFDonthestabilityofcommercialbanks,andthefindingsareasfollows:(1)DFDenhancestheprofitabilityandrisk-takingcapacityofcommercialbanks,thusenhancingtheirstability.(2)Theheterogeneitytestshowsthatthedevelopmentofdigitalfinancepromotestheprofitabilityandrisk-takingcapacityofcommercialbanksinbotheasternandcentralandwesternChina,andlargeandsmallandmedium-sizedcommercialbanks,withthepromotionofrisk-takingcapacityofcommercialbanksintheeasternregionbeingmoresignificant.(3)Theimpactmechanismtestshowsthatoperationalefficiencyisessential,anddigitalfinancedevelopmentenhancescommercialbanks'profitabilityandrisk-takingcapacitythroughimprovementsinoperationalefficiency,thuseffectivelyenhancingthestabilityofcommercialbanks.Commercialbanksshouldcontinueinvestinginthelatestdigitaltechnologies,suchascloudcomputing,bigdataanalytics,artificialintelligenceandblockchain,whichcanoptimizedataprocessing,improveservicespeedandquality,reduceoperatingcosts,andincreaseoperationalefficiency.Commercialbanksmayalsoconducteducationalcampaignstoincreasecustomerawarenessandacceptanceofdigitalfinancialservices.Theyalsousesocialmediaandotherdigitalplatformstointeractwithcustomersandunderstandtheirneedsandfeedbackforcontinuousserviceimprovement.Commercialbanksshouldalsodevelopandpromoteonlinebankingservicesandconsidercustomizingproductsandservicesfordifferentcustomersegmentstomeettheirspecificneedsandpreferences,expandingtheircustomerbaseandincreasingcustomersatisfactionandloyalty.Withtheintegrationofdigitaltechnologies,commercialbanksalsoneedtotraintheiremployeestoensurethattheycaneffectivelyusenewtoolsandmethodstoimproveefficiencyandcollectivelycontributetothestabilityofcommercialbanks.中文譯文數(shù)字金融發(fā)展與商業(yè)銀行穩(wěn)定性1.引言在當今全球經(jīng)濟中，數(shù)字金融的影響力與日俱增。在互聯(lián)網(wǎng)、大數(shù)據(jù)、人工智能和區(qū)塊鏈等技術(shù)進步的推動下，數(shù)字金融正深刻改變著社會的方方面面。這些技術(shù)通過提供更便捷、高效、低成本的金融服務(wù)，日益成為日常生活中不可或缺的組成部分。這一轉(zhuǎn)變不僅提升了金融包容性，也為商業(yè)銀行帶來了新的發(fā)展機遇。作為金融體系的核心主體，商業(yè)銀行若能制定清晰可行的數(shù)字化戰(zhàn)略，便能在數(shù)字經(jīng)濟浪潮中贏得競爭優(yōu)勢。與此同時，商業(yè)銀行的穩(wěn)定性對維護金融體系整體穩(wěn)健、促進經(jīng)濟可持續(xù)發(fā)展具有至關(guān)重要的意義。在數(shù)字金融革命進程中，我們既要保障銀行機構(gòu)的韌性運營，又需全方位強化風險管理框架。這種對創(chuàng)新效率與穩(wěn)健風控的雙重追求，對于防范金融風險、保護消費者權(quán)益、促進商業(yè)銀行健康發(fā)展至關(guān)重要。唯有把握好這種微妙的平衡，才能確保銀行業(yè)乃至整體經(jīng)濟實現(xiàn)持續(xù)繁榮。2.研究假設(shè)數(shù)字普惠金融降低商業(yè)銀行信用風險（Ruan&Jiang，2024），并加速東盟銀行業(yè)穩(wěn)定化進程（Banna&Alam，2021）。研究表明，數(shù)字普惠金融與銀行穩(wěn)定性（以Z值衡量）呈正相關(guān)，與不良貸款率呈負相關(guān)（Chinoda&Kapingura，2023）。在監(jiān)管環(huán)境演變、經(jīng)濟波動和環(huán)境復(fù)雜化的背景下，銀行業(yè)已發(fā)生深刻變革（Shabir等，2024）。傳統(tǒng)商業(yè)銀行模式普遍存在客戶互動不足、交易后追蹤系統(tǒng)缺失等問題，導(dǎo)致難以全面洞察客戶需求與滿意度，進而制約服務(wù)優(yōu)化能力。而數(shù)字金融的發(fā)展顯著抑制了企業(yè)財務(wù)舞弊行為（Sun等，2023），使商業(yè)銀行得以提供更快速、便捷的定制化服務(wù)，大幅提升客戶滿意度和忠誠度，從而穩(wěn)定存款基礎(chǔ)、拓展業(yè)務(wù)范圍，促進商業(yè)銀行穩(wěn)健發(fā)展。現(xiàn)有研究證實：經(jīng)營性現(xiàn)金流與凈利潤率對銀行財務(wù)穩(wěn)定性具有顯著正向影響（Elahi等，2021）；資金與資產(chǎn)多元化積極促進銀行穩(wěn)定（Abbas&Ali，2022）；商業(yè)銀行穩(wěn)定性與盈利效率正相關(guān)（Miah等，2019）。Mohamed等研究發(fā)現(xiàn)：在CAMEL評級指標中，盈利能力是唯一對肯尼亞商業(yè)銀行財務(wù)穩(wěn)定性具有統(tǒng)計顯著影響的變量（Mohamed等，2023）。因此，本研究選取盈利能力作為商業(yè)銀行穩(wěn)定性的衡量指標。數(shù)字金融發(fā)展（DFD）使商業(yè)銀行服務(wù)覆蓋更廣地理范圍，增加盈利來源多樣性，助力分散市場風險；同時通過高效分析海量客戶數(shù)據(jù)，提升信貸決策精準度，增強銀行穩(wěn)定性。銀行規(guī)模與凈利率對穩(wěn)定性呈顯著正向影響，而利息recapitalization則產(chǎn)生顯著負向作用（Yensu等，2021）。另有學(xué)者證實，金融創(chuàng)新與系統(tǒng)性風險呈線性正相關(guān)，對中國銀行業(yè)穩(wěn)定性產(chǎn)生積極影響（Chen&Du，2016）。故本研究另選取風險承擔能力作為穩(wěn)定性評價指標。數(shù)字金融發(fā)展使商業(yè)銀行得以通過多元渠道采集分析數(shù)據(jù)，突破單一數(shù)據(jù)源依賴，更全面把握市場趨勢、客戶需