Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 9th June 2026, 01:56:53am CEST
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Daily Overview |
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4A: More data, better credit?
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Data Ownership, Data Production, and Lending Market Competition University of California-Irvine, United States of America We study how shifting data ownership from lenders to borrowers would affect data production, fintech entry, and resource allocation efficiency. We categorize borrowers' data into portable and non-portable elements. Portable data, which requires active production and is transferable, will provide more accurate information. In our model, an incumbent bank, endowed with non-portable data, determines the amount of portable data produced, while a potential fintech entrant is more efficient at analyzing it. Our findings indicate that the shifting of data ownership will reduce portable data production, thereby diminishing resource allocation efficiency, despite encouraging fintech entry. The bank's non-portable data endowment and fintech's analytical efficiency have non-continuous, non-monotonic effects on portable data production. Invoice Digitization and Credit Availability: Hard-Information Effects in Small Business Lending 1Ghent University, Belgium; 2New York University Stern School of Business, USA This paper studies the impact of digitized invoices on small business lending through China’s Golden Tax Phase III Project, which established a unified tax-reporting system and digitized VAT invoices. Using the project’s staggered provincial rollout as a natural experiment and a difference-in-differences (DID) design, I find that small businesses in treated provinces obtain substantially larger credit lines, pay lower interest rates, and enjoy longer maturities. Banks also report higher measured incomes and assign higher internal credit scores to these firms. I trace these improvements to the elimination of fraudulent invoices, which endows banks with more reliable hard information for income assessment and risk-based pricing. As a result, digital invoices mitigate information asymmetries in lending, allowing banks to extend more and cheaper credit to firms lacking hard information. Consistent with this mechanism, the largest credit gains occur in invoice-intensive industries; the most opaque borrowers (e.g., individually owned businesses) and small banks experience the greatest benefits. Finally, macro-level credit data from the People’s Bank of China corroborate my micro-level findings. Overall, this study highlights the critical role of digital tax infrastructure in alleviating financing frictions for small businesses and underscores its broader importance for financial inclusion and economic growth. | ||
