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This study examines investigating the relationship between cash flows, working capital ratios and firm performance during the global financial crisis.

To examine the relationship between cash flow, working capital ratios and firm performance for EU-28 or Western European Countries (Norway, Turkey and Switzerland) listed firms, both panel and ordinary least squares (OLS) regression model are used to analyze the data obtained from sample.

The study empirical findings suggest that global financial crisis has negative effect on firm performance for all sample. In addition, our interaction term result shows that cash flows variables such as cash holding level (CHL) × Crisis, cash interactive effect (CIE) × Crisis and gross working capital ratio (GWC) × Crisis not contributed to firm performance for EU-28 listed firms. However, the authors find that net working capital ratio (NWC) × Crisis have statistically significant and positive effects on firm performance with return on assets (ROA).

The findings of the study provide evidence for managers that listed firms have reduced working capital expenditures to increase cash holdings level during the financial crisis. The authors find that cash flow variables with CHL have positive effect on firm performance with return on equity (ROE) in Western European Countries and these results are consistent with Opler et al. (1999)'s empirical results, while CIE have a negative impact on firm performance such as ROE and earnings before interest tax margin (EBITM).

Global financial crisis emphasizes the importance of working capital and liquidity that suggests an efficient cash holdings policy in response to the uncertainty following the crisis.

This study examines the relationship between working capital management and business performance.

The relationship between the working capital management and business performance is examined using panel data analysis for a sample of EU-28 listed firms for the period from 2003 to 2012. To examine this relationship, an ordinary least squares (OLS) regression model is used to analyze the data obtained from the sample. The dependent variable consists of three measurements, namely return on asset (ROA), return on equity (ROE) and earnings before interest and taxes margin (EBITM), which are used as proxies for accounting-based measures of performance.

The authors examined the aforementioned relationship during the 2008 financial crisis. The OLS regression analysis suggests that there is a negative relationship between gross working capital and business performance for code law countries. The results also show that liquidity measures estimated by current ratio have a statistically significant impact on business performance indicated by ROA for all EU countries. The 2008 financial crisis had a significantly negative impact on ROA. Additionally, the findings regarding financial inclusion show a negative relationship between gross working capital and business performance among EU and other performer countries.

Overall, the empirical findings are consistent with Afrifa's (2016), who suggests that cash flow should increase investment in working capital to improve performance indicated by EBITM for old EU members.

While many empirical studies investigate the relationship between working capital and firm profitability, most do not consider the impact of the 2008 financial crisis apart from Tsurate (2019). The authors examine whether legal origins are important determinants of working capital management policies and business performance. Thus, empirically, the code law countries have a negative relationship between gross working capital, business performance and EBITM.

This chapter presents an overview of the Bitcoin and its impacts on the environment and economics from the viewpoint of carrying out a systematic analysis of the literature related to the environmental and economic effect of digital currency. It is aimed to summarize and critically examine the points of view regarding Bitcoin mining, considering its effects on global warming and the social environment, employing peer-reviewed data associated through literatures. As a result, this study provides the chance to analyze the set of knowledge regarding the effects of the Bitcoin mining procedure on the ecosystem in regard to energy use and CO₂ emissions regarding unit root tests and causality test based on nonlinear models. The results show that there exists a nonlinear causal relationship between statistics on Bitcoin mining and the CO₂ emissions. The results also imply that Bitcoin remains to be a tool utilized in the economic environment for a range of objectives despite high energy consumption and some negative environmental impact within the scope of renewable energy; hence, authorities would take Bitcoin mining impacts into account to reduce CO₂ emissions.