Modelling the origins of managerial ability in agricultural production*

The efficiency of production from a farm’s land, labour and capital is critically dependent on the ability of the farm manager. Yet, while there are studies correlating a wide range of manager‐related variables with returns, and, therefore, probably ability, little understanding of the basic determinants of managerial ability exists. Questions such as ‘what is the importance of a farmer’s family experiences and training in determining the farmer’s managerial ability?’ need answering. The solution to this, and other, questions will enable determining ways of improving farmers’ inherent ability developed both in early, and later, life. In that most decisions on a farm are made intuitively, in contrast to the use of a formal analysis, improving farmers’ inherent ability will have a significant payoff. The research reported here uses data from a large stratified random survey of 740 developed farmers (29 per cent had tertiary education, 30 per cent had 4 or more years secondary education) to create a structural equation model of the determinants of managerial ability. The results suggest that a farmer’s exposure to experiences is a significant factor in ability, as is the farmer’s management style and the family influence on early life experience.     

Measuring managerial efficiency: the case of commercial greenhouse growers

Recently the managerial decision making process has been given new attention, both in theoretical studies as well as in empirical research explaining differences in farm results. However, while critical to explaining efficiency, managerial ability has been difficult to measure and therefore often ignored. This study attempts to measure managerial ability. It divides the decision making process into four steps: goal formulation, planning, monitoring and evaluation. The quality of each step is measured in a panel of 26 specialised flower producers, The impact of decision making on the firms' efficiencies is measured by means of a stochastic frontier production function. A one‐step procedure is used in which technical and decision making parameters are jointly estimated. The results show positive associations between firm efficiency and the quality of decision making (especially monitoring and firm evaluation), indicating that this procedure has been potentially successful and is a move towards successfully measuring a critical input.     

Diseconomies of Size with Fixed Managerial Ability

Managerial ability has important implications for farm growth. In this article we first show in a production model that increasing output with a fixed level of managerial ability can lead to a decrease in profits. Next, we discuss the effect that managerial ability has on economies of size. In the empirical part, economies of size are estimated for a sample of dairy farms using a proxy for managerial ability, which is calculated as a technical efficiency index. The results show that increasing farm size while holding managerial ability constant can be an important source of diseconomies of size.     

THE ANALYSIS OF NET FARM INCOME: AN EXAMINATION OF FARM MANAGEMENT SURVEY DATA

The practical significance of the conventional “net farm income” is elusive. It would be useful to have an accepted method of dividing “management and investment income” into its recognised Components—managerial salary and return on tenant's capital. One is a residual if the other can be calculated, and both alternatives are considered. An empirical formula is suggested for estimating the managerial salary which may be imputed to the farmer, taking account of his total turnover, his labour bill and his net farm income. This formula is then applied to Farm Management Survey data, for individual farms and for groups of average, high and low performance (output per £ input). The method may permit closer analysis of relative profitability.     

Farm households and nonfarm activities in Ethiopia: does clustering influence entry and exit?

This article examines how clustering affects the entry and exit decisions of farm households into and from nonfarm enterprises in rural Ethiopia. We find that the existence of clusters of microenterprises in the same district increases the likelihood of a rural household to start a nonfarm enterprise. Similarly, clustering of big manufacturing firms in the same zone is found to increase the likelihood of farm households to start a nonfarm enterprise. Nonfarm enterprises operating in clusters are also found to have a lower probability of exit than those operating outside of clusters. The study further investigates the impact of entry and exit into and from nonfarm enterprises on farm household's well‐being using as indicators total household income, the food security status of a household, and the household's ability to raise enough money in case of emergency. Using propensity score matching to account for selection bias, we find that entry into nonfarm enterprises significantly increases household's income and food security status. Exit from nonfarm enterprises, on the other hand, is found to significantly reduce household's income.     

Economic Guidelines for Present and Future Capital use in Canadian Agriculture*

Capital requirements for typical farms are expected to be $200,000 to $300,000 by 1980. This will necessitate substantial increases in credit and provide conditions more attractive to private investors than in the past for all types of credit as well as equity capital. Form operators' equity in the farm business is expected to decline substantially. Incorporated farm statistics are presented as well as an estimate of the aggregate farm capital and credit structure in 1981. A number of policy questions are examined in the light of the changed financial structure envisaged. GUIDES ÉCONOM1QUES CONCERNANT L'USAGE ACTUEL ET FU-TUR DU CAPITAL DANS L'AGRICULTURE CANADIENNE–On estime que la mise de fonds en capital d'une ferme typique sera de l'ordre de $200,000 à$300,000 vers 1980. Cette situation entraînera des accroissements sensibles au chapitre du crédit et créera des conditions plus attrayantes que par le passé pour les investisseurs privés, les amenant à offrir tous les genres de credit et mime a participer au capital effectif de mise de fonds. On estime que Vavoir des exploitants agricoles dans leurs ferme diminuera sensiblement. On présente des statistiques agricoles incorporees de même qu'une estimation de la structure d'ensemble du crédit et du capital des fermes en 1981. Un certain nombre de questions de politiques sont etudiees a la lumiire des changements prevus a la structure financiere.     

Determinants of economic well-being among U.S. farm operator households

Participation in government programs has a mild impact on the economic well‐being of U.S. farm households. Major factors that determine farm household prosperity are the primary operator's education level and ethnicity, education level of the spouse, and other characteristics such as forward purchasing of inputs, use of contract shipping of products, having a succession plan, farm ownership, and location in a metro area. This article uses the 2001 Agricultural Resource Management Survey (ARMS) as well as relative and an absolute measure to assess U.S. farm households' economic well‐being. The relative measure compares the income and wealth position of farm households relative to median income and median wealth of the general population. The absolute measure adds annualized wealth to a farm household's income.     

An economic analysis of sheep flock structures for mixed enterprise Australian farm businesses

A strategic question facing many mixed enterprise broadacre farm businesses in Australia is, ‘What sheep flock size and structure is most profitable to complement the farm’s cropping enterprises?' This study answers this question for a typical large mixed enterprise farm business in a key production region of Australia. Whole‐farm bioeconomic modelling, combined with broad‐ranging sensitivity analysis, is used to examine the profitability of different sheep flock structures and sizes. We find the most profitable flock structure is to run Merino ewes and turn off finished Merino or first‐cross lambs. The profitable selection of these flocks is robust to commodity price variation but does require the farmer to give more attention to sheep management. The correct choice of flock structure greatly adds to farm profit. A farm based on cropping and a self‐replacing Merino flock using surplus ewes for first‐cross, meat lamb production earns 33 per cent more profit than a similar farm that runs a traditional self‐replacing Merino flock that emphasises wool production. Of far less importance than flock structure, as a source of additional profit, is to increase flock size or adjust cropping intensity.     

Private transaction costs of participation in water quality improvement programs for Australia's Great Barrier Reef: Extent,causes and policy implications

The direct private cost to landholders of participating in programs that result in improved farming activities (IFAs) is generally well understood. However, the private indirect or transaction costs, such as the cost of a landholder's time and the expense to learn about IFAs and apply for assistance to implement these changes on‐farm, are not so well understood. Where these have been studied, they have been shown to be extensive. We assess the extent and causes of private transaction costs incurred by sugarcane growers participating in the Australian Government's Reef Rescue scheme which pays farmers to adopt environmentally beneficial farm management practices. Utilising a mail‐out‐mail‐back survey of 110 growers, we found that the average total transaction cost per farm of participating in the program was AU$8389. The average total transaction costs per farm as a percentage of the average funding provided was 38 per cent. We also assessed which type of improved farming activity (soil, nutrient, pest or water management) generated the greatest transaction costs and how landholder characteristics such as bounded rationality, opportunism and social connection impacted on the extent of transaction costs.     

Corruption in agricultural processing firms: A comparison of cooperatives and investor-owned firms

This paper examines managerial corruption in cooperatives (co-ops) and investor-owned firms (IOFs), including its impact on prices and farmer welfare. Even when co-op managers have greater incentives to engage in corruption because of the co-op's larger production, the resulting corruption is not sufficient to offset the competitive effect that co-ops exert vis-à-vis IOFs. This conclusion holds regardless of the functional form of the production function, the farm input supply curve, and the demand curve for the processed product. In addition to showing the robustness of the competition effect, the paper provides a highly flexible modeling framework that can be used to examine other co-op behavior questions.     

An Agent-Based Simulation Model of Structural Change in Canadian Prairie Agriculture, 1960–2000

Agent‐based simulation modeling (or ABM) is used to examine the evolution of farm size and financial structure in Canadian prairie agriculture over the period 1960–2000. Individual farm agent interaction and dynamics in this model occur through land ownership and leasing markets. A base scenario is developed and the model is validated against actual data from a typical Saskatchewan farm region. Subsequently, we simulate counterfactual policy scenarios applicable to farms in this region. Overall, we view the contribution of this paper as twofold—first, it represents a “proof of concept” of ABM's ability to simulate farming on a medium to large scale. Second, the model allows us to examine the contributions of entrepreneurship, factor endowment, and historical government agricultural support payments on the evolution of Canadian prairie farm structure. Dans le présent article, nous avons utilisé un modèle multi‐agent pour analyser l'évolution de la taille et de la structure financière de fermes dans les Prairies canadiennes, de 1960 à 2000. Dans ce modèle, les agents interagissent dans le temps par le biais des marchés de la propriété foncière et du bail foncier. Nous avons élaboré un scénario de référence et nous avons validé le modèle à partir de données réelles tirées d'une région agricole typique de la Saskatchewan. Ensuite, nous avons simulé des scénarios contrefactuels de politiques applicables à des fermes de cette région. Le présent article poursuivait un double objectif. Le présent article est à double volet. Premièrement, il comprend une démonstration de faisabilité de la capacité du modèle multiagent à simuler l'agriculture de moyenne à grande échelle. Deuxièmement, le modèle a permis d'examiner l'apport de l'entrepreneuriat, de la dotation en facteurs de production et des paiements de soutien agricole sur l'évolution de la structure des fermes dans les Prairies canadiennes.     

THE VALUE OF FARM ANIMAL WELFARE

This paper explores further some of the ideas put forward by McInerney (1993) in his economic perspective of animal welfare. It uses a simple economic framework to consider citizens' concerns and perceptions about farm animal welfare and the production and consumption of livestock products in society. People's perceptions that certain aspects of livestock production give rise to poor farm animal welfare are a potential source of disutility for them. This disutility may be associated with people's own consumption of livestock products and/or with other people's consumption. The latter is a negative externality of consumption in society, resulting in very real indirect costs associated with livestock production. The paper discusses the need for valuing farm animal welfare, considers techniques for evaluation and highlights some of the policy issues involved.     

新疆新型农业经营主体空间分异测度与分析

[目的]新型农业经营主体,是新型农业经营体系的重要组成部分。对新疆主要新型农业经营主体,即农民专业合作社、农业产业化龙头企业和家庭农场发展的现状、空间分异规律进行系统分析,对推动新疆农业经营主体健康发展、制定扶持政策和缩小地区间差异具有重要指导意义。[方法]该研究采用泰勒指数法,以各地区农业人口数作为权数,分别运用各类新型农业经营主体的数量、平均经营收入两项指标从不同角度测度新疆经营主体空间分异现象。[结果](1)地带内部差异仍是构成规模总体差异的主要部分,且地带内部差异占总体差异的比重家庭农场最大(89%),龙头企业次之(70%),农民专业合作社最小(66%)。(2)2006年以来新疆农民专业合作社、龙头企业在南、北、东疆区域间的发展趋于平衡,但各区域内部发展不均衡的问题凸现出来。(3)新疆家庭农场平均经营能力地区间差异大于农民专业合作社的,且两类经营主体经营能力的空间分异明显大于规模的。(4)农业产业化龙头企业的经营能力最强,农民专业合作社居中,家庭农场最弱。各区域同类经营主体经营能力差距也很显著。南、北疆农民专业合作社经营能力较强,而东疆的家庭农场经营能力较强。[结论]目前新疆新型农业经营主体空间分布差异较大,各级政府必须加快推进各区域均衡发展。     

Measuring and causes of inequality in farm sizes in the United States

This article examines the notion of farm size inequality expressed as sales inequality in the United States. The farm size index (FSI) is developed as a measure of farm size inequality. FSIs are calculated for the farming sector in all 50 states and large variation in farm size across the states and over time is determined. The largest FSIs are calculated for a number of Southern, Southwestern, and Pacific states. Increasing FSIs over time are observed in all states as well. The spatial and temporal (between 1987 and 1997) differences in FSIs are explained by running a pooled, cross‐sectional time‐series model. The most influential variables accounting for the differences have to do with the ownership structure, where a larger presence of individual and family farms relative to corporate farms and cooperatives leads to a lower degree of farm size inequality. Also, states and regions having relatively larger number of farms owned by minorities have higher FSIs. Shrinking opportunities in the agricultural sector relative to the rest of the economy, primarily services, are reflected in a declining share of agricultural sector state income in total gross state product (GSP). This in turn leads to an increase in the farming sector's FSI suggesting that only larger, more profitable operations are the likely candidates to pursue farming activities. Finally, grains farming regions have all lower degree of farm size inequality than livestock or fruits and vegetables regions. Profitable grains farming requires relatively large farm size and equipment investments, which leads to a relatively homogeneous structure of grains farms. A larger variation in the size of profitable farm operations is possible in fruits and vegetables and livestock. This leads to the existence of a large number of very small but still sustainable farms, and a relatively small number of large farms that capture most of market sales share.     

‘Good’ farm management employment: Emerging values in the contemporary Irish dairy sector

The number of Irish dairy farms with herds greater than 100 cows has increased from 4.5 % in 2005 to 23 % in 2016. The abolition of the dairy quota in 2015 has led to predictions that this trend will continue and that an additional 6000 people will be required to work on dairy farms by 2025. Ownership of farms is esteemed, with farm employment perceived as a poor second option, so it is necessary to identify possible routes towards creating 'good' farm employment relationships. This paper explores the social, cultural and economic values of employers and employees in the context of early experiences of farm employment in post-quota Ireland. Using narrative analysis, this study found that employees gained esteem and pride from acquiring managerial responsibilities and receiving recognition for their abilities and accomplishments from their employers. Greater social recognition of employ’ abilities by peer groups and in networks (social capital) cemented ‘good employee’ status. Employers, in a context of unprecedented dairy production expansion, emphasised the need for and demonstrated changing of power structures to open up the farm to new forms of influence. However, employers’ reflexivity in support of employment relationships was undermined overall by what the management literature calls a weak ‘rewards system’ for employees. Without the supportive scaffolding of a formalised rewards system, relational gestures of responsibility-devolution and employ’ appreciation of employees may be insufficient to sustain quality farm management employment in the long term. Inevitably, this diminishes the attractiveness of farm employment, limiting the drawing of talent not only into farm employment but into associated capacity-building programmes.     

AGGREGATION OF MICRO-FUNCTIONS TO OBTAIN A WHOLE-FARM PRODUCTION FUNCTION*

In this paper, a re-assessment of the aggregation problem in farm production functions is attempted. Aggregation starts from measurable farm management entities such as the milking cow, breeding ewe etc., and appropriate whole farm production functions are derived that are consistent with these biological units of farming, or as they will be called, the micro-functions of agriculture. The aggregate function, as derived, is based on the geometric means of micro outputs and inputs and could appropriately be said to 'represent' all the micro-functions. It is thus called, later in the paper, the representative production function for the farm firm.     

The growth of family farms in Hungary

The article investigates the validity of Gibrat's Law for Hungarian family farms using FADN data collected between 2001 and 2007. Gibrat's Law states that the growth rate of firms will be independent of their initial size. Regression results allow us to reject Gibrat's Law for all quantiles. Evidence suggests that smaller farms tend to grow faster than larger ones. Results do not support the hypothesis of “disappearing middle” in Hungarian agriculture. We study a number of socio‐economic factors that can help to explain farm growth. We find that total subsidies received by a farm and the farm operator's age are the most significant factors correlated with farm growth.     

ROLES OF WOMEN ON FARMS: A PILOT STUDY

Official statistics do not reveal the nature of the contribution which farmers' wives make to the farm labour force. On the basis of a pilot study, three roles for women on farms were identified. Main distinguishing features were division of labour between husband and wife, frequency of manual work, responsibility for farm enterprises, participation in formal organisations and approach to housework. Home-centred farm housewives only work on the farm occasionally, working farmwives assist their husbands regularly while women farmers threaten male status by doing “man's” work. Reasons for women playing one role rather than another are discussed. Trends in agriculture suggest that the farmer's wife's contribution to the farm business will become still more significant in future. “The concept of ‘the farmer and his wife’ so often used by agricultural economics is far from having universal validity” (Ashby, 1953: 97).     

The Theory of the Farm Household: An Application to Saskatchewan

A theoretical model is presented which integrates the consumption and production components of the rural household. A theoretically determined system of expenditure equations, derived factor demand equations and an off-farm labor supply equation are estimated using primary data for Saskatchewan farm households. From the empirical results we conclude that if the wage rate can be observed or estimated, the farm household's behavior can be explained empirically in a manner consistent with received theory. Summary and Conclusions A theoretical model integrating the consumption and production sides of the farm household or enterprise is estimated empirically using primary data for Saskatchewan farm households. The farm household was assumed to maximize its utility function subject to farm production and cash flow constraints. The empirical results indicate that the theoretical model can be estimated successfully even when data are sparse. While the coefficients for the expenditure, derived demand, and off-farm labor supply equations are consistent with coefficients from similar equations estimated separately by others, the theoretically more precise integrated approach specifies the simultaneous effect of the variables across equations. From the empirical results and the theoretical considerations it is obvious that the wage rate is a key explanatory variable in the model. The wage rate links the three components of the model–final expenditures, the derived input demands and off-farm labor hours. The wage rate is one determinant of the allocation of the operator's time (although other factors such as the nature of the operation and opportunities to work off-farm dominated in this study), and both the wage rate and the allocation of the time determine the eventual income available to the rural household. In essence, then, the problem of explaining farm household behavior when the household's business enterprise function cannot be separated from its consumption activity is similar to that of traditional models based on the theory of the firm and models of consumer behavior. The only difference is that the wage rate is observable in the traditional models but needs to be estimated as a shadow price in models which seek to explain rural household behavior. As a result, research in this area must start with an explanation of the allocation of (at least) the operator's labor and a measure of the shadow wage rate. If the entire household's allocation of time between on-farm and off-farm labor and leisure is determined, it is possible to treat its consumption and production activities separately. Further research is required to extend the model to explain household labor supply to both the farm and off-farm labor markets.     

Farmer Decision‐Making with Conflicting Goals: A Recursive Strategic Programming Analysis

This paper concerns the analysis of farmers' goal trade‐offs using a series of representative dairying and beef/sheep farm models. The models employ an adaptive feedback structure and expectations model to track adjustment processes over a seven‐year planning horizon, 1991/92 to 1997/98. Model solutions, under a conventional profit maximising objective function, and using a weighted goal programming formulation, under a series of empirically specified alternative goal orientations, are examined and compared. The paper identifies significant variation among farm families in terms of ability to attain key goals concerning farm profitability, family consumption, farm investment, growth and cash flow. The results quantify the trade‐off between family consumption and farm investment/growth goals.