Fintech P2P Lending dan Pengaruhnya Terhadap Pertumbuhan Ekonomi Indonesia

Author:

Maulana Yasir,Wiharno Herma

Abstract

Previous research has shown that fintech contributes to GDP and reduces numbers and poverty. However, this does not cover the fact that P2P lending still has the potential to develop and have a positive impact on Indonesia's economic growth. This study examines the effect of P2P lending fintech on Indonesia's economic growth, using secondary data on Indonesia's economic growth from Bank Indonesia and P2P lending fintech data from the Financial Services Authority (OJK). Simple regression statistical analysis, t-test, and coefficient of determination show that peer to peer (P2P) lending has a positive and significant impact on Indonesia's economic growth. A total of 74.60 percent of the P2P lending variables explain the variables of Indonesia's economic growth. These results indicate that the growth of P2P lending is driving Indonesia's economic growth. This positive influence can be explained based on the relationship between P2P credit and other variables that affect the economy such as labor absorption variables through MSMEs, poverty rates, Gini ratio, GDP, growth of other economic sectors, household consumption levels, and inflation rates. This relationship is explained descriptively based on the results of previous studies. 

Publisher

University of Kuningan

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of MSME Capital Using Sharia Fintech Peer to Peer Lending;Perisai : Islamic Banking and Finance Journal;2023-10-30

2. Sosialization Fintech Literacy Peer to Peer Lending Syariah as Sidoarjo MSME Capital;Indonesian Journal of Cultural and Community Development;2023-08-08

3. Sosialization Fintech Literacy Peer to Peer Lending Syariah as Sidoarjo MSME Capital;Indonesian Journal of Cultural and Community Development;2023-08-08

4. Fintech Peer To Peer Lending Sharia as an Alternative Capital for MSME in Sidoarjo;Indonesian Journal of Law and Economics Review;2023-08-03

5. Implementation of Data Science Algorithm for Monthly Inflation Prediction Based on Financial Technology Awareness Levels;2022 10th International Conference on Cyber and IT Service Management (CITSM);2022-09-20

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