Recent events, most notably the Global Financial Crisis and the COVID-19 pandemic, have made it increasingly apparent that liquidity is synonymous with corporate survival. In this paper, we explore how governments can fulfill an important need as suppliers of liquidity. Building on the financing advantage view of state ownership, we theorize how state-owned enterprises (SOEs) may provide capital by offering trade credit to customer firms. The data indicate a positive relation between the level of state ownership and the provision of trade credit. Using an institution-focused framework, we further determine that the nation's institutional environment systematically affects the opportunities and motivations for SOEs to grant trade credit. Specifically, we find that SOEs grant more trade credit in countries with less developed financial markets, weaker legal protection of creditors, less comprehensive information-sharing mechanisms, more collectivist societies, left-wing governments, and higher levels of unemployment. Firm-level factors also influence the credit-granting decisions of SOEs, with SOEs with lower levels of state ownership and higher extents of internationalization offering lower amounts of trade credit. Overall, our study offers novel insights regarding the important role of state-owned firms as providers of liquidity.
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http://dx.doi.org/10.1057/s41267-021-00406-5 | DOI Listing |
Heliyon
October 2024
LERMA Laboratory, College of Engineering, International University of Rabat, Sala Al Jadida, 11100, Morocco.
In the context of growing focus over climate changes and promoting sustainability across a various range of fields, microgrids can play a significant role in global decarbonization endeavors, contributing to carbon neutrality and ultimately attaining net-zero emissions in the energy sector. The objective of this paper is to address the integration of voluntary carbon trading within microgrid communities, in the perspective to mitigate greenhouse gas (GHG) emissions and boost the integration of renewable energy sources (RES). Introducing five modular algorithms managing key aspects of carbon trading, the study engineers a comprehensive framework aiming to optimally orchestrate the Voluntary Carbon Market (VCM) within microgrids.
View Article and Find Full Text PDFHeliyon
October 2024
School of Economics and Management, Tsinghua University, Beijing, 100084, China.
This paper aims to provide new avenues for innovation in credit governance in the digital economy to provide more reliable credit evaluation solutions for financial, commercial, and social interactions. This paper integrates the potential value of Internet of Things (IoT) technology in credit governance and proposes a credit governance method that utilizes IoT data and an improved Long Short-Term Memory model. The proposed model introduces an adaptive mechanism to monitor changes in data in real-time and automatically adjust network parameters to improve the model performance.
View Article and Find Full Text PDFMethodsX
December 2024
Infineon Technologies, Free Trade Zone, Batu Berendam, Melaka 75350, Malaysia.
Credit card usage has surged, heightening concerns about fraud. To address this, advanced credit card fraud detection (CCFD) technology employs machine learning algorithms to analyze transaction behavior. Credit card data's complexity and imbalance can cause overfitting in conventional models.
View Article and Find Full Text PDFJ Environ Manage
November 2024
Department of Environmental Biotechnology, Faculty of Environmental and Energy Engineering, Silesian University of Technology, Ul. Akademicka 2A, 44-100, Gliwice, Poland.
Heliyon
August 2024
Business school, Wuxi Taihu University, Wuxi, 214064, China.
This study examines the economic impact of soaring international energy prices during the Russia-Ukraine conflict from February 23, 2022, to May 31, 2022. Notably, by applying a CGE model, this study offers insights into energy policies at both macroeconomic and industrial levels, emphasizing the model's utility in analyzing complex economic interactions under geopolitical stress. Findings indicate that: , faced severe economic setbacks due to sanctions, with its GDP contracting by 5.
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