We examine how fintech development affects corporate innovation. Using the city-level fintech index that includes 331 cities, which is constructed based on data from Ant Finance Service Group, we identify the economic mechanisms through which fintech development affects technological innovation. We show that firms that are more financially constrained exhibit a disproportionally higher innovation level in cities with better developed fintech services. We further find that fintech development promotes lending to firms and stimulates R&D investment because internet credit intensifies bank loan competition. Our paper provides new insights into the effects of fintech development on the real economy

We study the impact of FinTech competition in payment services when a monopolist bank uses payment data to learn about consumers’ credit quality. Competition from FinTech payment providers disrupts this information spillover. The bank’s price for payment services and its loan offers are affected. FinTech competition promotes financial inclusion, may hurt consumers with a strong bank preference, and has an ambiguous effect on the loan market. Both FinTech data sales and consumer data portability increase bank lending, but the effects on consumer welfare are ambiguous. Under mild conditions, consumer welfare is higher under data sales than with data portability

This paper provides micro-level evidence on how FinTech adoption affects household consumption and consumption inequality. Our hypothesis is that through FinTech's payment facilitation and credit constraint alleviation, higher FinTech adoption by households fosters financial inclusion by promoting consumption. Financial inclusion is especially increased for households that traditionally consumed less, which suggests that FinTech could reduce consumption inequality. By combining region-level FinTech adoption measures with household-level representative data of consumption, we find that higher FinTech adoption by a household increases household consumption and reduces consumption inequality across households. Using the distance to Hangzhou from the city in which a household is located as an instrument variable to capture the exogenous variation in FinTech adoption yields results with similar economic and statistical significance. In addition, traditional financial infrastructure is still a prerequisite for the benign distributive impacts provided by FinTech credit, which demonstrates the need for further welfare-improving policies. Our paper adds to the literature by documenting FinTech to be a market force that contributes to financial inclusion

New technology promises to expand the supply of financial services to small businesses poorly served by banks. Does it succeed? We study the response of FinTech to financial services demand created by the introduction of the Paycheck Protection Program. FinTech is disproportionately used in ZIP codes with fewer bank branches, lower incomes, and more minority households, and in industries with fewer banking relationships. It is also greater in counties where the economic effects of the COVID-19 pandemic were more severe. Substitution between FinTech and banks is economically small, implying that FinTech mostly expands, rather than redistributes, the supply of financial services

We document that finance companies and FinTech lenders increased lending to small businesses after the 2008 financial crisis. We show that most of the increase substituted for a reduction in bank lending. In counties in which banks had a larger market share before the crisis, finance companies and FinTech lenders increased their lending more. We find no effect of reduced bank lending on employment, wages, and new business creation by 2016. Our results suggest that finance companies and FinTech lenders are major suppliers of credit to small businesses and played an important role in the recovery from the 2008 financial crisis

We examine how increased competition stemming from an innovation in financial technology influences sell-side analyst research quality. We find that firms added to Estimize, an open platform that crowdsources short-term earnings forecasts, experience a pervasive and substantial reduction in consensus bias and a limited increase in consensus accuracy relative to matched control firms. Long-term forecasts and investment recommendations remain similarly biased, alleviating the concern that the documented reduction in bias is a response to broad economic forces. At the individual analyst level, we find that bias reduction is more pronounced among close-to-management analysts, and that more biased analysts respond by reducing their coverage of Estimize firms. The collective evidence suggests that competition from Estimize improves sell-side research quality by discouraging strategic bias

I draw on new data to examine how donor-advised funds (DAFs), a fast-growing philanthropic option, relate to social progress. DAFs are distinguished by flexibility such as their ability to transform complex assets and separate the timing of tax breaks from giving decisions. While DAFs are often classified by their sponsor type, I introduce a new classification scheme that reflects their economic purpose, including the users targeted, style and features offered, and focus of grant making. This classification reveals that growth is fastest among DAFs that offer fintech tools, liquidity transformation, and grant making focused on diversity, equity, and inclusion. Conditional correlations show that DAFs with an innovative style of service distribute more grants to charities serving areas with high inequality, in times of greatest financial need, and with more efficient operations

Information asymmetries are known in theory to lead to inefficiently low credit provision, yet empirical estimates of the resulting welfare losses are scarce. This paper leverages a randomized experiment conducted by a large fintech lender to estimate welfare losses arising from asymmetric information in the market for online consumer credit. Building on methods from the insurance literature, we show how exogenous variation in interest rates can be used to estimate borrower demand and lender cost curves and recover implied welfare losses. While asymmetric information generates large equilibrium price distortions, we find only small overall welfare losses, particularly for high-credit-score borrowers

Amid the emerging dominance of nonbanks, small banks use key financing advantages to persist in the mortgage market. We provide evidence of the heterogeneous impact of two shocks to the supply of mortgage credit: postcrisis regulatory burden and GSE financing cost changes. Small banks exploit regulation disproportionately affecting the largest four banks (Big4) and their ability to lend on balance sheet to strongly substitute for the retreating Big4. The erasure of guarantee fee (g-fee) discounts for large lenders facilitates small bank growth in GSE lending. Small banks also grow balance sheet loans in areas more exposed to g-fee hikes.

We report the results of a longitudinal intervention with students across 5 universities in China designed to reduce online consumer debt. We allocate participants to either a financial literacy treatment group, a self-control treatment group, or a zero-touch control group. Our self-control training intervention features detailed tracking of spending and borrowing, budgeting, and introspection about consumption choices. This intervention reduces online borrowing and delinquency charges, mainly driven by a reduction in entertainment-related spending and borrowing. In contrast, financial literacy interventions improve test scores but only marginally affect borrowing. Our results suggest that cultivating self-regulation and budgeting skills can improve borrowing behavior on e-commerce platforms