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Big data’s role in expanding access to financial services in China

Big data’s role in expanding access to financial services in China

ISSN:0268-4012
2016年第36卷第3期
1. Instituto de Ingeniería de Alimentos para el Desarrollo, Departamento de Tecnología de Alimentos, Universidad Politécnica de Valencia, Camino de Vera, s/n, 46022 Valencia, Spain;2. Laboratorio de Estudios Métricos de Información (LEMI), Departamento de Bibliotecomía y Documentación, Universidad Carlos III, Avenida de la Universidad, 30, 28911 Leganes, Madrid, Spain;3. Instituo de Gestión de la Información y del Conocimiento (CSIC—Universidad Politécnica de Valencia), UISYS (Universidad de Valencia), Plaza Cisneros, 4, 46003 Valencia, Spain;1. Research Centre of the Centre Hospitalier Universitaire de Québec, 10 rue de l'Espinay, Quebec City, QC G1L 3L5, Canada;2. Faculty of Nursing Sciences, Université Laval, QC, Canada;3. Research Centre on primary health care and services of Université Laval (CERSSPL-UL), CSSS de la Vieille-Capitale, 880 rue Père-Marquette, 3e étage, Québec City, QC G1S 2A4, Canada;4. Department of Political Science, Université Laval, Pavillon Charles-De Koninck, office 4453, Cité Universitaire, QC G1V 0A6, Canada;5. Department of Psychoeducation, Université du Québec à Trois-Rivières (UQTR), QC, Canada;1. King Abdulaziz University, Faculty of Economics and Administration, Jeddah 21589, Saudi Arabia;2. HEC Montreal, Marketing Department 3000 Côte Sainte-Catherine, Montreal, QC H3T 2A7, Canada;1. WHU—Otto Beisheim School of Management, Burgplatz 2, 56179 Vallendar, Germany;2. University of North Florida, Coggin College of Business, 1 UNF Drive, Jacksonville, FL 32224, USA;3. Florida State University, College of Business, 821 Academic Way, Tallahassee, FL 32306, USA;1. School of Dance & Culture Item Factory Center, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Republic of Korea;2. Department of E-business, College of Business Administration, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Republic of Korea;3. Jindal School of Management, University of Texas at Dallas, Richardson, TX 75080, United States

General consumer and business finance companies have had limited success in serving the needs of economically active low-income families and micro-enterprises cost-effectively and sustainably in emerging economies such as China. Recent advances in computing and telecommunications technology are dramatically transforming this landscape by changing the way the financial industry operates. A key mechanism underlying this transformation concerns the use of big data in assessing, evaluating and refining the creditworthiness of potential borrowers and reducing the transaction costs. While China’s internet-only banking industry is currently small and some activities of players in this industry are akin to those in the shadow banking, this industry has potential to cause a major disruption in the Chinese financial market. A main objective of this paper is to examine the role of big data in facilitating the access to financial products for economically active low-income families and micro-enterprises in China. A second objective is to investigate how formal and informal institutions facilitate and constrain the use of big data in the Chinese financial industry and market. The paper also investigates how various inherent characteristics of big data – volume, velocity, variety, variability and complexity – are related to the assessment of the creditworthiness of low-income families and micro-enterprises. Case studies of big data deployment in the Chinese financial industry and market are discussed. The paper also looks at various categories of personal financial and non-financial information that are being used as proxy measures for a potential borrower’s identity, ability to repay and willingness to repay. Various business models involving the sources of data (internal vs. external to the big data organization) and providers of credits (big data organization vs. external partners or clients of the big data organization) are investigated. The analysis of the paper indicates that the main reason why low-income families and micro-enterprises in China and other emerging economies lack access to financial services is not because they lack creditworthiness but merely because banks and financial institutions lack data, information and capabilities to access the creditworthiness of and effectively provide financial services to this financial disadvantaged group.

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ISSN:0268-4012
2016年第36卷第3期

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