Analysis of Luckin's Financial Fraud

With the rapid development of market economy and Internet technology, the number of listed companies has steadily increased. Luckin Coffee, one of the famous local coffee brand in China, not only challenges Starbuckss monopoly in the Chinese coffee market but also pioneers new directions for Chinas coffee industry. However, financial fraud has become increasingly prominent, causing significant losses to the country, securities market, and investors. This paper examines relevant theories of financial fraud using Luckin Coffee as a case study, providing a detailed review of its fraudulent activities from start to finish. The analysis reveals that Luckin Coffee primarily engaged in financial fraud by inflating online orders, exaggerating main business income and costs, and conducting complex related transactions. Furthermore, this paper conducts an in-depth analysis of three factors contributing to Luckin Coffee's financial fraud: financing pressure, market competition and balance of payments. Concrete measures and suggestions are proposed to prevent and control both internal and externa; financial fraud within listed companies. By delving into the Luckin Coffee's financial fraud case, this research aims to support optimization efforts in financial management practices while enhancing the soundness of related enterprises financial system. It also seeks to help these enterprises enhance their competitiveness in the market while offering inspiration for improvements within China's capital market system. Additionally, this paper also reveals the negative impact of financial fraud on investor confidence, market order and sustainable development of enterprises, and emphasizes the importance and urgency of combating financial fraud.

Authors

Institutions

Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-12-26
DOI
https://doi.org/10.54254/2754-1169/2024.18611
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Luckin's Financial Fraud

Kai‐Cheng Yang
Advances in Economics Management and Political Sciences
Imbalanced Data Classification Techniques
article

Analysis of Luckin's Financial Fraud

Kai‐Cheng Yang
article en

Abstract

With the rapid development of market economy and Internet technology, the number of listed companies has steadily increased. Luckin Coffee, one of the famous local coffee brand in China, not only challenges Starbuckss monopoly in the Chinese coffee market but also pioneers new directions for Chinas coffee industry. However, financial fraud has become increasingly prominent, causing significant losses to the country, securities market, and investors. This paper examines relevant theories of financial fraud using Luckin Coffee as a case study, providing a detailed review of its fraudulent activities from start to finish. The analysis reveals that Luckin Coffee primarily engaged in financial fraud by inflating online orders, exaggerating main business income and costs, and conducting complex related transactions. Furthermore, this paper conducts an in-depth analysis of three factors contributing to Luckin Coffee's financial fraud: financing pressure, market competition and balance of payments. Concrete measures and suggestions are proposed to prevent and control both internal and externa; financial fraud within listed companies. By delving into the Luckin Coffee's financial fraud case, this research aims to support optimization efforts in financial management practices while enhancing the soundness of related enterprises financial system. It also seeks to help these enterprises enhance their competitiveness in the market while offering inspiration for improvements within China's capital market system. Additionally, this paper also reveals the negative impact of financial fraud on investor confidence, market order and sustainable development of enterprises, and emphasizes the importance and urgency of combating financial fraud.

Advances in Economics Management and Political SciencesVol. 128(1)
Jimei University (CN)
Openalex Percentile: Top 78%
Imbalanced Data Classification Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.