2020
DOI: 10.1080/1351847x.2020.1811131
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Understanding China’s fintech sector: development, impacts and risks

Abstract: Financial technology (fintech) is rapidly transforming the economy as well as the financial landscape in China. This paper attempts to shed light on its contributing factors, current state, economic impacts and potential risks. We identify three key drivers for China's fintech development, namely shortage of supply in formal financial market, strong government support for promoting financial inclusion through digital technology, and more "tolerant" regulatory environment. The greatest value of the Chinese fint… Show more

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Cited by 95 publications
(37 citation statements)
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References 32 publications
(39 reference statements)
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“…Deep learning methods have also been favored by industry, with a representative group using the deep learning model AlexNet to win the ImageNet image recognition competition. e model also took advantage of the GPU's strengths in floating-point computing, which greatly increased the speed of computing [9]. In the same year, renowned Stanford University machine learning professor Enda Wu developed a deep neural net model in conjunction with the world's leading computer experts [10].…”
Section: Current Status Of Researchmentioning
confidence: 99%
See 1 more Smart Citation
“…Deep learning methods have also been favored by industry, with a representative group using the deep learning model AlexNet to win the ImageNet image recognition competition. e model also took advantage of the GPU's strengths in floating-point computing, which greatly increased the speed of computing [9]. In the same year, renowned Stanford University machine learning professor Enda Wu developed a deep neural net model in conjunction with the world's leading computer experts [10].…”
Section: Current Status Of Researchmentioning
confidence: 99%
“…e practice in student career guidance first began in Europe and the United States. In the United States, colleges and universities attach great importance to the employment of students, and almost all colleges and secondary schools in the United States have their career guidance organizations for all students [9]. In the UK, higher education institutions will start career guidance work for students from the moment they first enter the school and set up special career guidance files for all students in the school, so that they can carry out guidance work according to the individual students' needs so that students can be better employed [11].…”
Section: Current Status Of Researchmentioning
confidence: 99%
“…DFI's low cost, wide-coverage and sustainability enable millions of users, especially low-income groups, to make mobile payments, apply for online loans, and purchase online insurance and investment products (Aisaiti et al. , 2019; Hua and Huang, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, studies from other groups claimed that digital finance has increased the household income of rural residents by supporting entrepreneurship and alleviating liquidity constraints. In particular, the income-increasing impact of digital finance is higher in rural low-income groups, which in turn promotes household participation in risky financial markets [ 48 ]. Of note, higher incomes make transaction cost more affordable for households; thus, higher incomes encourage households to allocate more to risky financial assets [ 49 , 50 ].…”
Section: Literature Review and Hypothesesmentioning
confidence: 99%