Accounting information and the prediction of farm viability

Until recently farm management made little use of accounting and agriculture has been largely excluded from the scope of accounting standards. This article examines the current use of accounting in agriculture and points the need to establish accounting standards for agriculture. Empirical evidence shows that accounting can make a significant contribution to agricultural management and farm viability and could also be important for other agents involved in agricultural decision making. Existing literature on failure prediction models and farm viability prediction studies provide the starting point for our research, in which two dichotomous logit models were applied to subsamples of viable and unviable farms in Catalonia, Spain. The first model considered only non-financial variables, while the other also considered financial ones. When accounting variables were added to the model, a significant reduction in deviance was observed.Accounting, agriculture, farm distress, viability, prediction

Importancia de la información contable para el análisis y predicción de la viabilidad de las explotaciones agrícolas

Spanish and Western agriculture show a continuous decrease in the number of farms. One of the main factors for this trend is the economic non-viability of many of the existing farms. In addition, interrelationship of agriculture with other industries is growing. Thus, policymakers, banks, creditors and other stakeholders are interested in predicting farm viability. The aim of this paper is to provide empirical evidence that the use of accounting-based information could significantly improve understanding and prediction of various degrees of farm viability. Two multinomial logit models were applied to a sample of farms of Catalonia, Spain. One model included non-accounting-based variables, while the other also considered accounting-based variables. It was found that accounting added significant information to predict various degrees of farm viability. This finding reveals, both the need of encouraging the little existing use of accounting by farms and to develop appropriate accounting standards for agriculture.Accounting, agriculture, farm, non-viability, failure prediction models

Predicting farm performance: do indicators of farm economic viability and efficiency signify of probability of bankruptcy?

Received: April 24th, 2021 ; Accepted: September 8th, 2021 ; Published: October 5th, 2021 ; Correspondence: [email protected] the analysis of the indicators characterising the economic viability, efficiency and bankruptcy probability of farms proposed by researchers and employed in practice, the relationships between the indicators and their capacity to predict the prospects of farm activities as well to assess whether or not the indicators are indicative of the same patterns of farm activity, several different researchers' approaches have been identified. Certain researchers have been claiming that all of the indicators provide the same farm performance prospects, while others consider economic viability and efficiency to provide long-term farm performance prospects, while bankruptcy probability-negative profitability in the short term. The methods of convergent and discriminant validation employed allowed for analysis of the risk of potential overlap between the index of economic viability of a family farm and farm economic efficiency coefficient with the already available bankruptcy probability prediction models. For this purpose, categorical regression analysis was employed. This enabled the authors to determine that the index of economic viability of a family farm and coefficient of farm economic efficiency did not repeat the already available and used bankruptcy probability prediction models. Summarizing the results, it could be claimed that the index of economic viability of a family farm and coefficient of farm economic efficiency are not suitable as an alternative for assessment of the bankruptcy probability

Towards a method for the economic evaluation of environmental indicators in UK Integrated Arable Farming Systems

Integrated Arable Farming Systems (IAFS), which involve a reduction in the use of off-farm inputs, are attracting considerable research interest in the UK. The objectives of these systems experiments are to compare their financial performance with that from conventional or current farming practices. To date, this comparison has taken little account of any environmental benefits (or disbenefits) of the two systems. The objective of this paper is to review the assessment methodologies available for the analysis of environmental impacts. To illustrate the results of this exercise, the methodology and environmental indicators chosen are then applied to data from one of the LINK - Integrated Farming Systems experimental sites. Data from the Pathhead site in Southern Scotland are used to evaluate the use of invertebrates and nitrate loss as environmental indicators within IAFS. The results suggest that between 1992 and 1995 the biomass of earthworms fell by 28 kg per hectare on the integrated rotation and rose by 31 kg per hectare on the conventional system. This led to environmental costs ranging between £2.24 and £13.44 per hectare for the integrated system and gains of between £2.48 and £14.88 for the conventional system. In terms of nitrate, the integrated system had an estimated loss of £72.21 per hectare in comparison to £149.40 per hectare on the conventional system. Conclusions are drawn about the advantages and disadvantages of this type of analytical framework. Keywords: Farming systems; IAFS; Environmental valuation; Economics; Earthworms; Nitrates; Soil faun

An analysis of the accounting principles applied by the European Farm Accountancy Data Network

In spite of its relative importance in the economy of many countries and its growing interrelationships with other sectors, agriculture has traditionally been excluded from accounting standards. Nevertheless, to support its Common Agricultural Policy, for years the European Commission has been making an effort to obtain standardized information on the financial performance and condition of farms. Through the Farm Accountancy Data Network (FADN), every year data are gathered from a rotating sample of 60.000 professional farms across all member states. FADN data collection is not structured as an accounting cycle but as an extensive questionnaire. This questionnaire refers to assets, liabilities, revenues and expenses, and seems to try to obtain a "true and fair view" of the financial performance and condition of the farms it surveys. However, the definitions used in the questionnaire and the way data is aggregated often appear flawed from an accounting perspective. The objective of this paper is to contrast the accounting principles implicit in the FADN questionnaire with generally accepted accounting principles, particularly those found in the IVth Directive of the European Union, on the one hand, and those recently proposed by the International Accounting Standards Committee�s Steering Committee on Agriculture in its Draft Statement of Principles, on the other hand. There are two reasons why this is useful. First, it allows to make suggestions how the information provided by FADN could be more in accordance with the accepted accounting framework, and become a more valuable tool for policy makers, farmers, and other stakeholders. Second, it helps assessing the suitability of FADN to become the starting point for a European accounting standard on agriculture.Accounting, agriculture, accounting standards, European Union, farm accountancy data network

Measuring and explaining farm inefficiency in a panel data set of mixed farms

This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific costs and overhead costs are introduced into the model as inputs. Stochastic frontier estimates are compared with those obtained using a linear programming method using a two-stage approach. The specification of the translog stochastic frontier model appears as an appropriate representation of the data, technical change was rejected and the technical inefficiency effects were statistically significant. The mean technical efficiency in the period analyzed was estimated to be 64.0%. Farm inefficiency levels were found significantly at 5% level and positively correlated with the number of economic size units.Technical efficiency, stochastic frontier approach, agricultural economics, frontier productions, farm efficiency

Data envelopment analysis (DEA) and financial ratios : a pro-stakeholders’ view of performance measurement for sustainable value creation of the wind energy

Purpose: The purpose of the paper is to explore business performance in a rather sensitive sector that equally combines economic, environmental and social dimensions. The paper investigates the efficiency of wind farm companies, in a framework of pursuing more diverse stakeholders’ interests Design/Methodology/Approach: Ratios and DEA approaches are combined to measure economic efficiency among the DMUs of a sample of wind farms, using data from their financial statements. Findings: Productivity and effectiveness comprise the performance measured by the economic efficiency. We show that by choosing inputs and outputs that are closely related in forming an appropriate financial ratio, it helps to design and explain more fully the impact of a policy intervention aiming at improving economic efficiency. DEA supplements ratios to design, implement and assess a strategy of benchmarking towards bolstering performance, that favors a wider range of stakeholders. Originality/Value: The study provides an in-depth insight into using Data Envelopment Analysis and financial ratios to study economic efficiency. The approach combines economic, social and environmental dimensions (indirectly) of performance, and the composite ratio Return on Total Assets (ROTA). The analysis caters the specific features of the sector renewable energy and their diverse stakeholders.peer-reviewe

Designing, Developing and Testing Financial Models for Non-industrial Private Forestry

This paper describes experiences in the development and testing of three distinct financial models to support farm forestry decisions involving non-traditional tree species in northern Australia and in the Philippines. A variety of options were examined with respect to model design, yield prediction, computing platform, forestry performance criteria and other features. Two of the models focus on the forestry enterprise in isolation, while the third evaluates forestry within the context of the overall farm business. It is found that choice of model design depends on the particular type of application intended and availability of financial data for this application. Some complementarities were gained in replicating features when progressing from one model to the next. Model construction and testing were challenging tasks requiring considerable funds and for two of the models proceeding over a number of years. Validation involved the gradual gaining of confidence in a model as it progressed through various versions. For the more complex models, greater effort in development of the user interface was found to be warranted. The models have proved more suitable for use by extension agents than individual landholders. Even with major resource inputs into model development, a number of desirable additional features can be identified.

Modelling the Effect of Policy Reform on Structural Change in Irish Farming

End of project reportThe Mid Term Review (MTR) of the Common Agricultural Policy (CAP) has allowed for the decoupling of all direct payments from production from 2005 onwards; until then, most direct payments were coupled to production, requiring farmers to produce specific products in order to claim support. After decoupling, farmers will receive a payment regardless of production as long as their farm land is maintained in accordance with good agricultural practices. Direct payments to farmers have been an integral part of the CAP since the 1992 Mac Sharry reforms. Throughout the 1990s, market prices for farm produce have declined generally in line with policy while costs of production have continued to increase. Meanwhile, direct payments increased in value, increasing farmers’ reliance on this source of income. Furthermore, farmers adapted farming practices to maximise their receipt of direct payments, leading to the culture of ‘farming the subsidy’. By 1997, on cattle and tillage farms in Ireland 100 per cent of family farm income was derived from direct payments, meaning that on average the market-based revenue was insufficient to cover total costs