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In view of the significant changes in the capital structure of China’s real estate industry and enterprises in recent years, this chapter employs financial indicators and the linear regression function to analyze the relationship between corporate debt ratio and the performance of 111 A-share listed real estate enterprises in China. This study finds that the corporate debt ratio of China’s real estate enterprises in the past decade has a significant negative impact on enterprises’ performance. The study also finds that among China’s real estate companies, the corporate debt ratio has a more significant negative impact on the performance of non-state-owned enterprises than state-owned enterprises. In addition, a high debt ratio has a more significant negative impact on return on equity (ROE) than on return on assets (ROA). However, when Tobin’s Q serves as a proxy for firm performance, the negative impact of the corporate debt ratio becomes insignificant in the presence of the firm size factor. The research results of this chapter can provide some reference for subsequent policy-making and investment decisions in the Chinese real estate market.

The study explores the impact of the general insurance industry’s financial soundness on Sri Lanka’s financial performance by using the CARAMELS approach for seven years (2011–2019) and using secondary data. The study utilised panel data regression analysis. Return on Asset was used as the proxy of financial performance while the 10 dimensions were employed. The best-fitted model is the fixed effect model (FEM), which indicates capital adequacy ratio (CAR) and profitability ratio has a positive impact and that the retention ratio (RR), claims ratio, and expenses ratio harm financial performance in the general insurance sector. The study concluded that capital adequacy, earnings and profitability, reinsurance, and actuaries are important predictors of financial performance for general insurers. The findings help the regulator and general insurers set better performance targets and enable insurance company managers to allocate capital more efficiently.

We extend theories of the firm to the entrepreneurial finance setting and argue that R&D-focused start-up firms will have a greater likelihood of financing themselves with equity rather than debt. We argue that mechanisms which reduce information asymmetry, including owner work experience and financier reputation, will increase the probability of funding with more debt. We also argue that start-ups that correctly align their financing mix to their R&D focus will perform better than firms that are misaligned. We study these ideas using a large nationally representative dataset on start-up firms in the United States.

The present study investigates whether companies that exhibit high performance characteristics in the pre-financial crisis period can maintain their high performance in the financial crisis period of 2007–2009 and, in particular, the post-financial crisis period of 2010–2011.

The current study of 1,473 companies in 25 countries and 66 industries (MSCI index) (1) extends the empirical research of prior studies through the year 2011; (2) identifies the operating characteristics (performance drivers and performance measures) and associated risk factors which were most critical with regard to sustaining, exiting, and entering HPC companies during the five 10-year periods since 1998–2007, and (3) summarizes conclusions about HPC results from the 13 ten-year periods (1989–1998 to 2002–2011) in this stream of research.

(1) Companies that sustain high performance over periods of financial stress clearly excel in asset turnover performance driver and on the performance measures of growth in revenues, profit margin, return on equity and return on assets. Sustaining HPC had less debt than other companies and consistent cash flow yields. Operating turnover ratios became less important in recent years as an indicator of high performance. (2) Although exiting companies maintained profitability, financial risk and liquidity, the key factor in their dropping out of HPC status is their failure to grow revenues. (3) Entering companies did not exhibit the superior performance in all categories.

The results provide strategic direction for management of companies that aspire to HPC status and to maintain HPC status once gained, particularly in times of global financial stress.

As state funding for public higher education has declined, there is a rising demand for accountability. Past studies have relied on indicator ratios to look at the relationship between funding and performance measures. This approach has some inherent problems that make it difficult to identify inefficiencies. This chapter will study efficiency in state systems of higher education by applying data envelopment analysis (DEA). DEA methodology converts multiple variables into a single comprehensive measure of performance efficiency and has the ability to perform benchmarking for the purpose of establishing performance goals. The advantages of DEA modeling will be shown by comparing results with those from a recent study of higher education finance based on publicly available data. DEA is shown to be feasible and implementable for studying state systems of higher education, and provides useful information in identifying “best practice” state systems and guidance for improvement. The value of DEA modeling to state policy makers and education researchers is discussed.

Prior research shows that companies that achieve high performance excel at certain financial objectives. This chapter addresses the question: Do companies that excel at these financial performance objectives also excel in integrated reporting and sustainability reporting?

We compare a sample of high performance companies (HPC) with a sample of companies that purport to support integrated reporting, and a sample that purport to support sustainability reporting. Our hypotheses are that HPC will equal or exceed the integrated reporting and sustainability reporting practices shown by International Integrated Reporting Committee (IIRC) and Global Reporting Initiative (GRI) companies and US companies will be less at these practices than non-US companies.

Our findings indicate that IIRC companies and GRI companies generally do not meet the high financial performance measures of the HPC. Based on an integrated reporting and sustainability reporting matrix, we show that HPC exhibit equal performance on the practices of sustainability and integrated reporting compared to GRI companies, but both HPC and GRI are lower on these practices than IIRC companies. Also, US companies disclose less information in sustainability reports and integrated reports as compared to non-US companies. Overall, all three groups fall short of full compliance with standards of integrated reporting and sustainability reporting.

This chapter provides evidence as to the financial performance and the current state of integrated reporting and sustainability reporting among HPC, GRI, and IIRC companies. This chapter highlights the global need for a generally accepted set of standards for sustainability and integrated reporting practices.

This study establishes a baseline evaluation of sustainability reporting (SR) and integrated reporting (IR) practices among groups of companies globally using a combined evaluation matrix. We evaluate a sample of high performance companies (HPC), global reporting initiative (GRI) companies, international integrated reporting committee (IIRC) companies, and a control group of companies that do not belong to any of these groups. We test for high performance and compliance with a 30-point evaluation matrix for financial reporting, corporate governance, integrated disclosure, SR, and assurance developed from the standards set by GRI and IIRC. This chapter provides evidence as to the current IR and SR states, and shows that considerable variation exists even among companies that have pledged to improve reporting in this arena. The analysis also shows that companies that belong to no special group do in fact score on a level that shows that SR and IR standards are being implemented by many companies in the world, not just those in special groups like the HPC, GRI, and IIRC. Finally, this study provides direction for global regulators and professional associations, and to the management of companies that aspire to HPC status while meeting the IR and SR standards.

This is the first study to investigate the impact of corporate social responsibility (CSR) on corporate financial performance (CFP) in Mongolian banks. We hand-collect data to construct CSR disclosure index from 65 annual reports of 12 banks in Mongolia from 2003 to 2012. The results indicate that banks with larger size or Chief Executive Officer duality exhibit higher CSR performance. Moreover, banks with higher CSR performance tend to have higher net interest margin and lower non-performing loan. Furthermore, the CSR–CFP relationship varies before and after the financial crisis. The findings provide meaningful insight to the foreign investors regarding the effect of CSR on the profitability and credit risk in Mongolian banking sector.

Starting in March 2020, Indonesia had the COVID-19 pandemic. Furthermore, this situation has decreased the utilization of highways due to complying with the government regulation, including work from home and large-scale social restrictions to reduce the spreading the corona virus. There are three highway companies listed on Indonesia Stock Exchange such as CMNP, META, and JSMR. On the other hand, the research about the financial performance and the financial distress prediction in Highways sector, especially in Indonesia is not available during the COVID-19 pandemic. This research is aimed to evaluate the financial distress by the Zmijewski model with two criterions: bankrupt and non-bankrupt zone and the financial performance by state-owned enterprise (SOE) rating with three criterions: healthy, less healthy, and unhealthy condition. The period of research is Q1 2019 – Q1 2020 as the period before the COVID-19 pandemic and Q2 2020 – Q2 2021 as the period during the COVID-19 pandemic. The study concludes that all highway companies was in non-bankrupt zone by the Zmijewski model for both before and during the COVID-19 pandemic. In addition, based on SOE rating on average for the period before the COVID-19 pandemic, CMNP, META, and JSMR achieved rating consecutively BBB, BBB, and BB. Meanwhile, on average, for the period during the COVID-19 pandemic, CMNP, META, and JSMR achieved ratings consecutively BB, BB, and B.