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The purpose of this paper is to analyse the relationship between control by the Maltese Central Government on Local Government and the format and basis of budgetary and financial reporting used. The study analyses the role of reporting in agency and fiscal federalism theories.

Semi-structured interviews were carried out with the controller (Central Government officials and the National Audit Office), while a survey was carried out with the controlled (Maltese Local Councils).

The type of reporting used by Maltese Local Councils may be undermining the control that Central Government seeks to exercise on overspending and debt levels. The Local Councils’ financial statements report accrual deficits and increasing liabilities. This overspending appears to slip through Parliamentary scrutiny because the latter approves cash allocations to Local Councils; the financial reports submitted to Parliament do not highlight overspending in cash terms; and the cash budget execution report that should be prepared by Local Councils is not given due importance.

Central Government should be consistent in its policy towards Local Government, which may require more elaborate reporting. This study highlights the importance of aligning the reporting required (top-down) and the reporting presented (bottom-up) – otherwise, control is at stake.

The purpose of this paper is to discuss the feasibility of preparing a statement of owner equity (SOE) and statement of cash flows (SOCF) for the agricultural sector. Also, the use of the Agricultural Resource Management Survey (ARMS) to collect data needed to supplement the US farm sector accounts to prepare a sector SOE and SOCF is discussed.

An SOE and SOCF for an individual producer was used to provide an example format for preparing an SOE and SOCF for the agricultural sector and to identify the data needed from the ARMS survey to supplement farm sector accounts.

The format and data needed to prepare a sector SOE and SOCF were identified and the feasibility of the collection of that data using current ERS/USDA survey collection methods would provide the data needed to prepare the statements. However, the use of two independent data collection authorities to collect the data would result in an agricultural sector SOE and SOCF that would not reconcile.

The paper initiates a dialog of possible alternatives available to the ERS/USDA and researchers concerning data needed and data sources available to prepare an agricultural sector SOE and SOCF, as well as the shortfalls and inaccuracies that would result.

The operating activities section of the statement of cash flows presents a long-standing teaching challenge for accounting educators. The direct method is easy to understand yet difficult to prepare; the indirect method is harder to understand but easier to prepare. Many instructors address the two methods separately, requiring students to learn two different ways for preparing the operating section of a statement of cash flows. Because of this focus on the mechanics of preparation, the result is often an emphasis on how to prepare the cash flow statement rather than on the essential information the statement provides. In this paper, the authors note that both direct and indirect methods begin at the same point, that is, the income statement, and end at the same point, that is, cash flow from operations. Then, the authors describe one process by which the income statement and the balance sheet can be analyzed to provide the information required to present operating cash flow using either the direct or the indirect method. Using this approach allows students to apply one intuitive process for computing cash flow from operations rather than memorizing two different sets of rules for direct and indirect methods.

This paper demonstrates that present value (PV) models can be viewed as multiperiod extensions of accrual income statements (AISs). Failure to include AIS details in PV models may lead to inaccurate estimates of earnings and rates of return on assets and equity and inconsistent rankings of mutually exclusive investments. Finally, this paper points out that rankings based on assets and equity earnings and rates of return need not be consistent, requiring financial managers to consider carefully the questions they expect PV models to answer.

AISs are used to guide the construction of PV models. Numerical examples illustrate the results. Deductions from AIS definitions demonstrate the potential conflict between asset and equity earnings and rates of return.

PV models can be viewed as multiperiod extensions of AISs. Mutually exclusive rankings based on assets and equity earnings and rates of return need not be consistent.

PV models are sometimes constructed without the details included in AISs. The result of this simplified approach to PV model construction is that earnings and rates of return may be miscalculated and rankings based as asset and equity earnings and rates of return are inconsistent. Tax adjustments for asset and equity earnings may be miscalculated in applied models.

This paper provides guidelines for properly constructing PV models consistent with AISs.

PV models are especially important for small to medium size firms that characterize much of agricultural. Providing a model consistent with AIS construction principles should help financial managers view the linkage between building financial statements and investment analysis.

This is the first paper to develop the idea that the PV model can be viewed as a multiperiod extension of an AIS.

In recent years there has been a growing interest in the provision of financial information by small business entities. In the UK, regulation has taken the form of the Financial Reporting Standard for Small Enterprises (FRSSE) and internationally UNCTAD has issued its own reporting guidelines for small enterprises ahead of the International Accounting Standards Board's (IASB's) standard on the subject. Despite this international interest, academic research investigating the accounting and financial reporting needs of small enterprises remains relatively scarce. This UK‐based study aims to assess the potential demand for and usefulness of reporting guidelines specifically designed for small owner‐managed enterprises (SoMEs).

Using postal questionnaires, data were gathered from accountants providing services to SoMEs and the owners of such enterprises.

It was found that most SoMEs produce accounting records, often based on computerised packages. However, financial awareness varies significantly and there is evidence that most small enterprise owners rely on their accountants to prepare their financial statements and are often left bewildered by the complexity of the information provided. With UK and the future IASB standards being designed to meet the needs of the largest small and medium‐sized enterprises (SMEs), there does appear to be a relatively high level of agreement that specific guidance for much smaller entities would be desirable. However, many of the accountants felt that some aspects of existing regulations, such as the UNCTAD level 3 guidelines, were too complex, indicating that regulators need to carefully consider the contents of regulations for the smallest entities.

The findings of this study have implications for regulators who are now considering the possibility of developing guidance for the smallest business entities.

In this paper, the authors investigate whether the systemic local banking crises (LBCs) and global financial crisis (GFC) impact the association between bank profit efficiency and earnings quality in developing economies.

Using panel data spanning 29 years over the period 1991–2019 for 169 banks drawn from five East African countries, the authors perform difference-in-difference multivariate analyses using the generalised method of moments (GMM) system estimator on a sample consisting of 2,261 bank-year observations.

The results, which are robust for endogeneity and other checks, show that banks with higher profit efficiency consistently report higher quality earnings. The authors further establish that whereas systemic LBCs contribute negatively to bank earnings quality, the GFC tends to have a positive impact. These results are upheld when the joint impacts of both systemic LBCs, GFC and profit efficiency on earnings quality are considered. The positive influence of profit efficiency and GFC on earnings quality is pronounced under income-decreasing earnings management. The impacts of profit efficiency, LBCs and GFC on earnings quality appear to be non-monotonic and vary across the sampled countries.

The study's findings are based on banks in five developing countries within a regional economic bloc. Additional studies could focus on other economic blocs for enhanced generalisability of the findings. In addition, some of the variables examined are studied at bank-level, while other variables are at country-level. Finally, the study establishes an association between the variables of interest, and this does not necessarily imply causation.

The results provide useful insights to bank regulatory and supervisory agencies on the need to exercise increased risk-based scrutiny over bank loan loss provisioning and minimum loan loss reserve requirements. From an audit perspective, auditors need to be cautious and apply an enhanced risk-based audit especially when auditing banks during and after a financial, banking or systemic crisis. Credit rating agencies need to pay closer attention to the LLPs of distressed banks. Finally, bank investors and customers should be cautious when using bank financial statements, since bank managers of poorly performing banks might engage in aggressive earnings management.

The study is perhaps the first to examine the joint effects of systemic LBCs on the association between bank profit efficiency and the quality of earnings in a larger dataset of banks in a developing regional economic bloc. The authors also employ the GMM system estimator in the modelling, which helps address some weaknesses in prior studies.

The purpose of this paper is to examine the use of accelerated depreciation deductions, which includes Section 179 and bonus depreciation, taken in the first year of asset life by Michigan farms. The frequency, value and influence of accelerated depreciation on farm investment are also analyzed.

Accrual adjusted income statements, balance sheets, depreciation schedules, and income tax information for 66 Michigan farms from 2004 to 2014 provide data for the analysis. The present value of the accelerated deduction and change in the cost of capital were calculated. Finally, investment elasticities were used to arrive at the change in investment due to accelerated depreciation.

Accelerated depreciation was utilized across all applicable asset classes. Section 179 was used more often than bonus depreciation in part because it was available in all the examined years. Based on actual farm business use, accelerated depreciation lowered the cost of capital for the operations resulting in an estimated increase in investment of 0.27 to 11.6 percent depending on asset class.

The data utilized are of a detail not available in previous investigations which used either aggregate data or estimated rather than the observed use of accelerated depreciation. This analysis reveals that accelerated depreciation as used by commercial farms lowers the cost of capital and thus encourages investment particularly in machinery and equipment.

This paper aims to use coordinated financial statements' system properties that include exogenous and endogenous variables to answer important questions. These questions include the following: What is the financial condition of the firm? What if there is a change in the firm's exogenous variable(s) – how will the financial condition of the firm change? And, how much of a change in the firm's exogenous variable(s) is required for the firm to reach its financial goal(s)?

This paper uses coordinated financial statements to construct solvency, profitability, efficiency, liquidity and leverage (SPELL) ratios to answer the question: what is the financial condition of the firm? It answers what-if questions by changing an exogenous variable(s) and recalculating SPELL ratios. It answers how-much questions by using Excel's Goal Seek algorithm to find the required change in an exogenous variable to reach a firm's goal.

The authors find that coordinated financial statements' system properties can be used to answer important what-is, what-if and how-much questions about the firm.

The usefulness of coordinated financial statements' system properties to answer what-is, what-if and how-much questions about the firm depends – mostly on the accuracy of exogenous data used to represent the firm's external financial environment. Furthermore, the usefulness of what-if and how-much analysis depends on how appropriate the changes are in exogenous variables used to represent alternative scenarios.

Using coordinated financial statements' system properties to answer what-is, what-if and how-much questions provides the firm's financial manager the tools to not only asses the firm's current financial condition but also to assess its ability to respond to opportunities and threats posed by future scenarios.

The ability to assess the financial condition of a firm and to assess its strengths and weaknesses in key to making sound financial decisions. In addition, the consistency imposed on coordinated financial statements makes it an effective tool for discovering errors in its data.

The authors know of no similar work.

The 1997 merger of two USDA agencies, the Agricultural Stabilization and Conservation Service and the Farmers Home Administration, into the Farm Service Agency created a need for consistent finance training. A highly successful Penn State Cooperative Extension borrower training program was selected to provide national financial training to more than 850 new staff and former loan technicians, and former ASCS staff and district directors. Analysis of workshop evaluations, based on pre‐workshop knowledge levels, identified five distinct clusters of trainees differing substantially in terms of experience, age, knowledge of finance principles, and job classification within FSA. However, evaluations confirmed testing results that the financial training was equally effective across all clusters. A critical result was that the training was successfully adapted to accommodate the distinct needs of each trainee cluster.

The purpose of this paper is to evaluate dairy farm financial performance over time utilizing farm financial ratios from three university business analysis programs. The evaluation includes measures of profitability, solvency, and liquidity by herd size.

Financial ratios to reflect profitability (rate of return on assets), solvency (debt to asset ratio), and liquidity (current ratio) were collected from Cornell University, Michigan State University, and the University of Wisconsin for dairy farms from 2000 to 2012. The distribution of farm financial performance using these ratios was examined over time and by herd size. Variance component methods are used to examine the percent of variation due to individual firm and industry aspects. A simple credit risk score is calculated to examine relative farm risk.

Dairy farm profitability performance is similar across herd sizes in poor years but larger herds realized significantly more profitability in good years. Findings were similar with respect to liquidity. Large herds consistently carried relatively more debt. Large herds’ financial performance was more uniform than across smaller herds. Larger herds had more financial risk as measured by credit risk scoring but recovered quickly to industry averages in profitable years.

The variation of dairy farm financial performance in an era of volatile milk and feed price is assessed. The results have important implications for farm financial management and benchmarking farm financial performance. In addition to helping to evaluate the efficacy of various price and income risk management tools, these results have important implications for understanding the benefits of the new federal Margin Protection Program for Dairy that is available to all US dairy farmers.