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The aim of this study is to use a financial approach based on the Du Pont expansion to investigate the impact of demographics, specialization, tenure, vertical integration, farm type, and regional location on the three levers of performance (ROE) – namely, net profit margins, asset turnover ratio, and asset‐to‐equity ratio.

This research uses a system of equations in conjunction with 1996‐2009 farm‐level data from the US Department of Agriculture's Agricultural Resource Management Survey (ARMS) to evaluate the factors driving farm‐level profitability, namely, net profit margins, asset turnover ratio, and asset‐to‐equity ratio. The methodology employed in this study corrects heterogeneity and uses repeated cross‐section estimation procedure to estimate the empirical models.

The study finds that key drivers of net profit margins are operator education, farm size and typology, specialization, and level of government payments. Key factors affecting the asset turnover ratio component of the Du Pont model include asset turnover ratio is driven by operator age, contracting, specialization, and receiving government payments. Finally, key factors affecting asset‐to‐equity ratio component of the Du Pont model are farm size, farm typology, contracting, and specialization drive asset‐to‐equity ratio.

Existing research does not examine the factors affecting returns to equity in faring at the farm‐level. Specifically, a micro‐level analysis of American farm's future structure and financial performance that accounts for the spatial and inter‐temporal dimensions of profitability has never been conducted.

The purpose of this paper is to use the DuPont expansion to examine those factors underlying differences in (rates of) return on different crop portfolios over space (ten regions) and time (1960‐2004). The paper also estimates the impact of government payments on farmland values through its impact on farm profitability.

Businesses use the DuPont model to analyze the profitability of a business. This model includes three components: net profit margin, asset turnover, and financial leverage (or assets to equity). It is based on the relationships among these three components and is expressed as a product of ratios. For the purposes of the current study, accrued capital gains from (total) returns are excluded to focus on cash returns “cash flow”. Returns from current income are a “cash flow” available in the short run to pay financial obligations. Furthermore, returns from capital gains are not liquid; they are gains in wealth fully captured as capital gains/losses only in the longer term. Following the DuPont approach, the effect of government payments on farm asset values is equal to the sum of the effect of government payments on profit margins plus the effect of government payments on the asset turnover ratio.

The analysis focuses on agricultural profitability in the ten Economic Research Service (ERS) regions. By comparing the components of the DuPont expansion, profitability differences over time are analyzed. The results indicate that one cause of low profitability in the Corn Belt and Mountain regions is a perpetually low profit margin while the evidence for other regions supports lower asset efficiency. Results show that government payments impact the profit margin and affect value of farm assets in particular farmland values but not asset turnover ratio.

The use of DuPont expansion factor in agriculture is original and really helps us to understand the factors driving profitability in agriculture. Another innovation (originality) in this paper is the theoretical model that connects the DuPont expansion factor, government payments and its impact on farmland values.

The purpose of this paper is to determine the drivers of economic financial success of US cow-calf operations.

This research uses a system of equations (DuPont analysis) in conjunction with 2008 farm-level data from the US Department of Agriculture's Agricultural Resource Management Survey to evaluate the factors driving cow-calf profitability, namely net profit margins, asset turnover ratio, and asset-to-equity ratio.

The study finds that the main drivers of return on equity are region, number of harvested acres on the farm, diversification of the farm, operator off-farm work, spousal off-farm work, and adoption of technologies. Of these factors, those for which producers can make short-term adjustments include off-farm work decisions and adoption of technologies. Longer-term adjustments can be made for farm diversification.

To the authors’ knowledge, no existing research has used farm-level data across US production regions to examine the factors affecting returns to equity of US cow-calf operations. These research results may be used to identify strategies producers can use to improve their farm's economic viability, areas where extension services can assist farmers in making better financial decisions and economic factors that are likely to lead to structural changes in the beef industry.

Recent public policy initiatives seek greater transparency in financial reporting through an honest, balanced and thorough management discussion of company performance in the annual report. Management’s discussion invariably includes key performance indicators, such as financial ratios, relevant to external stakeholders. We model the impact of accounting estimates, assumptions, choices and errors on the risk of misleading financial ratios. This framework is illustrated through good and bad examples of financial reporting practices and by simulation of financial data of public companies. We provide a structured approach to inform policymakers, auditors and other stakeholders of the incremental financial reporting risk that accompanies current regulatory efforts.

This study aims to compare the financial performance of the tourism distribution sector between Portugal and Spain, regarding the years 2007 and 2017. It is also intended to determine which variables influence the performance of tourism intermediaries' enterprises.

This is a quantitative study based on financial information available on SABI database, with official data of Spanish and Portuguese enterprises. The final sample gathers 6095 intermediaries (1585 Portuguese and 4510 Spanish) which were analyzed regarding their profitability through DuPont model and an additional variable – size.

The return on equity (ROE) calculation in 2007 and 2017 identifies an increase of 12.8% for Portugal and 19.6% for Spain. Through Spearman's Rho, return on sales (ROS), asset turnover and return on asset (ROA) have a positive association with ROE, but the results about asset on equity and enterprise size did not reveal such precise evidence.

This study intends to reinforce the literature in terms of performance evaluation techniques to be used in this type of enterprises, applying DuPont model. At a practical level, besides aiming the maximization of the enterprise's profit, managers are faced with other financial challenges. Thus, this study provides important indications about aspects that should be considered to improve the enterprise's financial performance, supporting managers' decision making.

Financial studies focusing on the tourism distribution sector are limited. Even less frequent are studies with financial and official data from large samples, representative of the universe under study. The value of this study is based on these two aspects, allowing to strengthen the knowledge about tourism intermediaries and their financial performance, in a comparative approach between two countries.

Intangible assets are regarded as the future value drivers of company performance. However, hardly anything is known about the actual importance and influence of intangible assets. The purpose of this paper is to fill this gap, so the authors analyse the German stock market index DAX and accomplish a survey among the German Certified Public Accountants (CPAs) concerning intangible assets.

In a first step, the authors analyse the balance sheet data and the corresponding notes of the companies with regard to reported values of intangible assets and applied valuation methods. The sample period covers the years from 2005 to 2008. In a second step, the authors analyse the statements of the German CPAs with regard to intangible assets. The authors sent a standardised questionnaire to all 180 offices of the top ten German auditing firms.

The results indicate that intangible assets have gained in importance, while information on valuation methods is still scarce. According to the German CPAs, the current influence of intangible assets on company performance is on a high level and even will increase during the next few years. The mostly used valuation approach for the fair value measurement of patented technologies is the income approach. Furthermore, the accounting standards leave room for accounting policy – a result which casts doubt on the reliability of financial statements.

For the first time not only annual balance sheet data but also corresponding notes regarding intangible assets are analysed. The findings are connected with a survey of an expert group for the valuation of intangibles.

The purpose of this paper is to examine how managers of African firms, operating in environments characterised by less developed capital markets and weak institutional structures, make use of their internally generated cash flows.

The authors use a panel data methodology which regresses a particular use of cash flow (e.g. capital expenditure) on the internally generated operating cash flow of a firm and a set of control variables. The estimation of the regression model is done by ordinary least squares regressions. For robustness, the authors also estimate the models using system generalised method of moments to control for endogeneity and measurement error problems.

The authors find that managers of African firms hold most of their internally generated cash flows, and when they decide to spend, they allocate a higher proportion towards dividend payments; followed by debt adjustments; then to investments; and lastly, to equity repurchases.

The findings are consistent with the existence of a significant financial constraint in African markets, and the use of dividends to signal credit quality in relatively underdeveloped capital markets.

The authors provide a more extensive analysis of how a firm spends a unit of the incremental cash flow it generates. In particular, the analysis shows that beyond investments in capital expenditure, other cash flow uses (i.e. cash holdings, dividend payments, and adjustments in debt and equity capital) which have been largely overlooked in the literature are important to understanding the effects of financial constraints on corporate decisions. Also, the early empirical evidence on the cash flow allocations of African firms could be a step in the right direction in informing theory development in this area.

This paper aims to appraise the effectiveness of gender quotas in breaking the glass ceiling for women on boards (WoBs) in companies that are legally obliged to comply with quotas (listed companies and state-owned companies, LP) and in those that are not (unlisted companies and nonstate-owned companies, NLNP). Furthermore, it investigates the glass cliff phenomenon, according to which women are more likely to be appointed to apical positions in underperforming companies.

A balanced panel data of the top 116 Italian companies by total assets, which are present in both 2010 and 2017, is used for estimating ANOVA tests across sectors and fixed-effects panel regression models.

WoBs significantly increased in both the LP and the NLNP companies, and this increase was greater in the financial sector. Furthermore, the relationship between the percentage of WoBs and firm performance is not linear but depends on the financial corporate health. Specifically, the situation in which a woman ascends to a leadership position in challenging circumstances where the risk of failure is high (glass cliff phenomenon) is only present in companies with the lowest performance in the sample, in other words, when negative values of Roe and negative or zero values of Roa occur together.

These findings have relevant policy implications that encourage the adoption of gender quotas even in specific top positions, such as CEO or president, as this could lead to a “double spillover effect” both vertically, that is, in other job positions, and horizontally, toward other companies not targeted by quotas. Practical interventions to support women in glass cliff positions, on the other hand, relate to the extent of supervisor mentoring and support to prevent women from leaving director roles and strengthen their chances for career advancement.

The authors explore the ability of gender quotas to break through the glass ceiling in companies that are not legally obliged to do so, and to the best of the authors’ knowledge, for the first time, the glass cliff phenomenon in the Italian context.

Determining the optimal capital structure becomes more complicated by the presence of an agency problem. The issuance of debt as a corporate governance mechanism introduces the asset substitution problem – the agency cost of debt. Thus, there is a recognized need for models that can resolve the agency problem between the debtholder and the manager who acts on behalf of the shareholder, leading to optimal capital structure choice, and enhanced firm value. The purpose of this paper is to model the debtholder-manager agency problem as a dynamic game, resolve the conflicts of interests and determine the optimal capital structure.

As there is no satisfactory model for dealing with the above issues, this paper uses a differential game framework to analyze the incongruity of interests between the debtholder and the manager as a non-cooperative dynamic game and further resolves the conflicts of interests as a cooperative game via a Pareto-efficient outcome.

The optimal capital structure required to minimize the marginal cost of the agency problem is a higher use of debt, lower cost of equity and withheld capital distributions. The debtholder is also able to enforce cooperation from the manager by providing a lower and stable cost of debt and a greater debt facility in the overtime framework.

The study develops a new dynamic contract theory model based on the integrated issues of capital structure, corporate governance and agency problems and applies the differential game approach to minimize the agency problem between the debtholder and the manager.

The purpose of this paper is to introduce the application of sustainable growth challenge (SGC) model in agricultural finance as a conceptual paradigm and then uses the model to measure sustainable growth rates for Illinois grain and livestock farmers. The SGC concept is used to understand the economic conditions and business decisions made by farmers in certain episodes of the time period analyzed.

A seemingly unrelated regression approach is used to analyze the interrelationships of the four levers of growth using a panel data of Illinois farm‐level financial and operating information. The second analysis flows from the first and examines aggregate US farm data to provide an historical perspective of changes in the SGC over time.

Econometric results indicate the relevance of the SGC model in explaining farm financial and operating decisions. The farms’ tendencies to attain balanced growth seem to be more influenced by asset productivity and leverage decisions, which are given different emphasis by grain and livestock farms due to differing operational structures and constraints. This study's estimation and analysis of the USA farm sector's actual and sustainable growth rates from 1981 to 2001 data generally show that the industry has adapted to positive or negative SGCs in a manner consistent with the model.

This paper explores the relevance of the SGC model as a business, policy and teaching tool for understanding issues surrounding farmers’ financial and operating decisions.