{"title":"个人对个人贷款的扩张","authors":"Olena Havrylchyk, Carlotta Mariotto, Talal-Ur- Rahim, Marianne Verdier","doi":"10.1515/rne-2020-0033","DOIUrl":null,"url":null,"abstract":"Abstract We use data from the two leading US platforms, Prosper and Lending Club, to explore the drivers of the growing consumer demand for peer-to-peer (P2P) credit. Despite the online nature of new entrants, we rely on the spatial autoregressive model because spatial effects play an important role. Our findings suggest that the initial growth of P2P lending was spurred by the global financial crisis, but its growth after 2011 occurred in counties that were underserved by bank branches. The growth of P2P lending is slower in counties with high bank concentration and this factor is the most robust, stable over time and economically important in our study. Counties with lower population density, lower share of educated and young people experience lower growth of P2P lending, consistent with the hypothesis that learning costs deter the entry of new entrants.","PeriodicalId":45659,"journal":{"name":"Review of Network Economics","volume":"6 1","pages":"145 - 187"},"PeriodicalIF":0.9000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Expansion of Peer-to-Peer Lending\",\"authors\":\"Olena Havrylchyk, Carlotta Mariotto, Talal-Ur- Rahim, Marianne Verdier\",\"doi\":\"10.1515/rne-2020-0033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract We use data from the two leading US platforms, Prosper and Lending Club, to explore the drivers of the growing consumer demand for peer-to-peer (P2P) credit. Despite the online nature of new entrants, we rely on the spatial autoregressive model because spatial effects play an important role. Our findings suggest that the initial growth of P2P lending was spurred by the global financial crisis, but its growth after 2011 occurred in counties that were underserved by bank branches. The growth of P2P lending is slower in counties with high bank concentration and this factor is the most robust, stable over time and economically important in our study. Counties with lower population density, lower share of educated and young people experience lower growth of P2P lending, consistent with the hypothesis that learning costs deter the entry of new entrants.\",\"PeriodicalId\":45659,\"journal\":{\"name\":\"Review of Network Economics\",\"volume\":\"6 1\",\"pages\":\"145 - 187\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Network Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1515/rne-2020-0033\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Network Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1515/rne-2020-0033","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
Abstract We use data from the two leading US platforms, Prosper and Lending Club, to explore the drivers of the growing consumer demand for peer-to-peer (P2P) credit. Despite the online nature of new entrants, we rely on the spatial autoregressive model because spatial effects play an important role. Our findings suggest that the initial growth of P2P lending was spurred by the global financial crisis, but its growth after 2011 occurred in counties that were underserved by bank branches. The growth of P2P lending is slower in counties with high bank concentration and this factor is the most robust, stable over time and economically important in our study. Counties with lower population density, lower share of educated and young people experience lower growth of P2P lending, consistent with the hypothesis that learning costs deter the entry of new entrants.
期刊介绍:
The Review of Network Economics seeks to help policy makers, academics, and practitioners keep informed of new research and policy debate in network economics and related subjects that are relevant to the study of network industries. By publishing high quality research on topical issues relevant to network industries, it is hoped readers will be able to gain a deeper understanding of the economic issues involved and that this will improve the quality of decision making by private and public organisations, and debate among researchers. The articles can cover specific network industries, or may deal with general issues that have relevance to a number of different network industries, including topics in the economics of networks, regulation, competition law, or industrial organisation. Papers that provide insights into policy debates are especially welcome, as are up-to-date surveys, book reviews, and comments.