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.     

Testing Household-Specific Explanations for the Inverse Productivity Relationship

The inverse relationship between land productivity and farm size is an old and puzzling empirical regularity. Most explanations for this relationship rely on market imperfections that jointly determine the farm size and the household's shadow price of some productive inputs. We use plot-level data from the ICRISAT/VLS to assess whether these household-specific theories can explain the puzzle. The data exhibit plots of different sizes being simultaneously cropped by the same household. The inverse relationship is shown to hold true with the same magnitude across the plots of each household, thus cross-household heterogeneity does not suffice to explain the puzzle.     

OPTIMAL CULLING POLICY FOR BREEDING EWES

This article demonstrates a method to determine the optimal culling, policy for a sheep breeding flock. A model of the flock is constructed and profitability calculated for different age distributions of ewes. The method is illustrated with data obtained from an actual farm by a farm management consultant.     

The Measurement of Average Farm Size

Comparisons are regularly drawn between the average sizes of farms in particular countries or regions and in different farm-type categories. Indeed average farm size is often considered to explain (or create expectations of) changes or differences in technical or economic efficiency through time or between countries. There are, however, a number of issues involved in specifying what is meant by a farm and in choosing a suitable measure of farm size. These are examined prior to a discussion of various measures of average size, one of which (the mid-aggregate point) is described in some detail. The measures are illustrated with reference to agricultural holdings in England and in the Member States of the European Union.     

Productivity and farm size in Australian agriculture: reinvestigating the returns to scale

A positive relationship between farm size and farm productivity is often considered to be largely due to increasing returns to scale in farm production. However, using farm‐level data for the Australian broadacre industry, we found that constant or mildly decreasing returns to scale is the more typical scenario. In this study, the marginal returns to various farm inputs are compared across farms with different sizes. We found that large farms achieved higher productivity by changing production technology rather than increasing scale alone. The results highlight the disparity between ‘returns to scale’ and ‘returns to size’ in the industry, suggesting that productivity improvement among smaller farms can be made through increasing their ability to access advanced technologies, rather than simply expanding their scale.     

Farm Size Growth and Participation in Agri‐environmental Schemes: A Configural Frequency Analysis of the Swiss Case

This paper examines the relationship between farm growth and participation in agri‐environmental schemes, using the example of meadow extensification schemes in Switzerland. As a result of small farm sizes in Swiss agriculture, theory would suggest that economies of scale are considerable for market production activities, so that for growing farms it would be rational to intensify. Configural frequency analysis is used to identify and describe combinations of farm size development and proportion of meadows placed under agri‐environmental schemes. In the Swiss case, growing farms are likely to reduce their participation, whereas shrinking farms have a growing share of their meadows under extensification schemes.     

THE COST OF FOOD MARKETING*

There exists a wealth of statistical data in the Ministry of Agriculture, Fisheries and Food on agricultural structure and production, and on the consumption of food, much of which is well known and readily available to research workers outside. But much less is known about the manufacturing and distribution costs of food between the farm gate and the consumer. The purpose of this paper is to present aggregate data relating to food marketing, in much the same way that earlier contributions, notably to this Journal, have covered agricultural output and net income, and farm structure. Changes in the food marketing sector since the end of rationing are briefly set out and, following discussion of some of the conceptual problems involved, estimates are presented of the value added to food between farm or port and the retail level, and of the magnitude of the flows within the sector     

Farm Size,Technology Adoption and Agricultural Trade Reform: Evidence from Canada

Using detailed census data covering over 30,000 farms in Alberta, Saskatchewan and Manitoba, Canada, we document the vast and increasing farm size heterogeneity, and analyse the role of farm size in adapting to the removal of an export subsidy in 1995. Consistent with the Alchian-Allen hypothesis, the increase in per-unit trade costs due to the reform was associated with farms of all sizes shifting their production of crops from low value wheat to higher value canola. We find that switching to new labour-saving tillage technologies and away from summerfallow in response to the large negative shock to grain prices caused by the reform varied across the farm size distribution. We develop a theory of heterogenous farms and technology adoption that can explain our findings.     

Structural transformation and smallholder agriculture: an information‐theoretic analysis of the Nicaraguan case

In light of continued debate regarding the capacity of small‐scale agricultural producers to compete amidst globalization and/or liberalization, we examine recent trends in the distribution and use of agricultural landholdings in developing nations via refined exploration of the Nicaraguan case. With nationally‐representative, Living Standards Measurement Survey‐type data for the years 1998, 2001, and 2005, we employ Markov chain methods within an information‐theoretic framework in an attempt to advance the analysis of structural transformation in developing countries beyond the examination of trends in mean farm sizes or Gini coefficients, approaches ill‐suited to the detection of the apparent complexities of structural change. Further, while Markov chain analysis has witnessed relatively widespread application in the investigation of structural transformation in developed nations, we offer a novel methodological extension by allowing for the simultaneous exploration of structural transformation across multiple dimensions–namely, structural change in both the distribution and use of agricultural landholdings—as well as the incorporation of microlevel determinants of farm size and land use change. The results of the inquiry, above all, suggest that Nicaragua's agricultural and livestock sector is characterized by a definitive persistence of smallholders. While a moderate tendency toward bifurcation in the distribution of landholdings would appear to obscure any immediate relationship between operational landholdings and land productivity, we contend that such trends are, in fact, consistent with the often observed inverse farm size‐productivity relationship.     

What Drives Marginal Abatement Costs of Greenhouse Gases on Dairy Farms? A Meta‐modelling Approach

This paper examines the relationships between the marginal abatement costs (MAC) of greenhouse gas (GHG) emissions on dairy farms and factors such as herd size, milk yield and available farm labour, on the one hand, and prices, GHG indicators and GHG reduction levels, on the other. A two‐stage Heckman procedure is used to estimate these relationships from a systematically designed set of simulations with a highly detailed mixed integer bio‐economic farm‐level model. The resulting meta‐models are then used to analyse how MAC vary across farm‐level conditions and GHG measures. We find that simpler GHG indicators lead to significantly higher MAC, and that MAC strongly increase beyond a 1–5% emission reduction, depending on farm attributes and the chosen indicator. MAC decrease rapidly with increasing farm size, but the effect levels off beyond a herd size of 40 cows. As expected, the main factors driving gross margins per dairy cow also significantly influence mitigation costs. Our results indicate high variability of MAC on real life farms. In contrast to time consuming simulations with the complex mixed integer bio‐economic programming model, the meta‐models allow the distribution of MAC in a farm population to be efficiently derived and thus could be used to upscale to regional or sector level.     

Do family farms really converge to a uniform size? The role of unobserved farm efficiency*

We analyse the growth of family farms in Israeli cooperative villages during a period of economic turmoil. We use instrumental variables to account for the endogeneity of initial farm size, and correct for selectivity as a result of farm survival. We also include a technical efficiency index, derived from the estimation of a stochastic frontier production model, as an explanatory variable. Our aim is to check whether ignoring efficiency could have been the reason for convergence results obtained elsewhere in the literature. We found that technical efficiency is an important determinant of farm growth, and that not controlling for technical efficiency could seriously bias the results. In particular, larger farms are found to grow faster over time, while without controlling for technical efficiency the farm growth process seemed to be independent of initial farm size. The increasing polarisation of farm sizes in Israel has ramifications for the inefficiencies induced by the historical quota system, for the political power of the farm sector and for the social stability of farm communities.     

Survey and Analysis of Labour on Organic Farms in the UK and Republic of Ireland

A survey of 1144 organic farms in the UK and Republic of Ireland (IE) was used to assess whether organic agriculture provides more labour than conventional (nonorganic) farming. The sampled farms comprised 23% of all organic farms. The jobs per farm and per area varied greatly with enterprise type and farm size, and between regions. Comparison of the survey with national statistics showed that organic farms employ 135% more FTE (full time equivalent jobs) per farm than conventional farms. The mean jobs per area was markedly lower for organic farms (1.35 compared to 2.43 FTE per 100 ha), because they are larger (216 ha compared to 51 ha). Even when corrected for the different size distribution, organic farms had more jobs per farm than the national averages (2.52 and 1.49 FTE for the UK and IE, compared to 1.28 and 1.16 FTE). The farm size weighted FTE per area for organic farms in the UK (4.33 FTE per 100 ha) was almost twice that for conventional farms. We predict there would be 19% and 6% more farming jobs in the UK and IE if 20% of the farms of both countries were to become organic (compared to the present 1–2%).     

Efficiency and total factor productivity in Ukrainian agriculture in transition

This article analyzes efficiency and total factor productivity (TFP) change of large agricultural enterprises during their transition to a market economy in Ukraine. Efficiency is calculated by Data Envelopment Analysis and productivity change is measured by the Malmquist Productivity Change Index in the period between 1990 and 1999. On average, TFP declined by 6% annually, dropping a total 42%. The main reason for the observed TFP decline is a decrease in technical efficiency, which is found to be remarkably significant. At the same time there is a high variation among individual enterprises: the distribution of efficiency scores widens, which indicates that the farms diverge with respect to their economic performance. A Tobit regression analysis is conducted in which efficiency scores are related to factors such as farm type, farm size, initial conditions, and legal form.     

Challenging Small‐Scale Farming: A Non‐Parametric Analysis of the (Inverse) Relationship Between Farm Productivity and Farm Size in Burundi

We use a non‐parametric approach to investigate the (inverse) relationship between farm productivity and farm size. A kernel regression is used on data of mixed cropping systems to study the determinants of production including different factors that have been identified in literature as missing variables in the testing of the inverse relationship such as soil quality, location and household heterogeneity. Household data on farm activities and crop production were gathered from 640 households in 2007 in two Northern provinces of Burundi. Our results do not reject the findings of an inverse relationship between farm size and productivity. However, we find that size returns vary substantially with farm size, that is, between 0.2 for the smallest farms and 0.8 for the largest farms. Other factors that significantly affect production include soil quality. Finally, we find a significant positive association between food security and farm size.     

An Economic View of the Debate on Farm Size in Saskatchewan: A Comment

In a recent paper in this Journal, Jensen (1984) continues the debate on farm size in Saskatchewan. In particular, he considers the relationship between farm size and efficiency "… to determine if it is necessary to have fewer and larger farms in order to gain cost efficiency …" Attention is focused on the notion of returns to size and the vehicle for analysis is estimates of long-run average cost (LAC) curves. Individual farm data are used for different farm types in the two years, 1977 and 1980. Equations are fitted to each farm type in each year. Hence, each estimated equation is based on cross-section data. The conclusion drawn from this analysis is that, "… at the frontier, constant returns to size are the norm in Saskatchewan agriculture" (p. 199). Moreover, "Governments could consider removing policies which favor large units …" (p. 198).     

Comparing economic performance of organic and conventional U.S. beef farms using matching samples*

Economic performance measures of organic and transitioning‐to‐organic cow–calf farms are compared with those of non‐organic cow–calf farms. A method of matching samples is used for the comparison, estimating sample average treatment effects for the subpopulation of the treated. Each organic farm is matched with one non‐organic farm that is involved in the same beef industry segments and farm size classes, and in the same region. Furthermore, farmer demographic, farming system, and technology variables are used to identify matches. Bias is reduced by estimating separate weighted regression functions for the treated and untreated groups. Results suggest that higher cost of organic production is due primarily to higher capital recovery, taxes and insurance, and overhead costs. Evidence is found for differences in beef enterprise profitability by organic status.     

THE IMPACT OF FARM AND PROCESSING RESEARCH ON THE AUSTRALIAN WOOL INDUSTRY*

An equilibrium displacement model of the world wool top industry is used to estimate the returns to the Australian wool industry from productivity improvements in farm production, in top making and in textile manufacturing. The returns to the industry from these different types of research and development are sensitive to the extent of substitution possibilities between Australian wool and other inputs used by the wool processing and textile industries but it appears that research resources have to be much more efficient in off-farm activities for the Australian wool industry to receive benefits similar to those from farm research activities.     

An Analysis of U.S. Aggregate Output Response by Farm Size

Past empirical evidence on supply response by size of farm in the U.S.A. provides no clear basis to conclude that supply elasticities vary systematically with farm size. In this paper, the central hypothesis that no systematic relationship exists between production response to price and size of farm is rejected. U.S. farms are disaggregated into nine economic size categories and own-price supply elasticities are measured for per farm and total agricultural output. Empirical results from this study suggest that supply response does vary systematically by farm size, with smaller farms exhibiting greater elasticities than midsized farms.     

REDUCING THE NITROGEN INPUT ON ARABLE FARMS

Nitrogen response curves derived from experimental data are used with a profit maximising condition to obtain optimum N rates, yields and gross margin losses for a range of nitrogen and cereal prices. These results are used with a linear programming model of an arable farm to estimate changes in the optimal cropping allocation and hence the farm scale effects of relative price changes. Total nitrogen applied is found to have a limited response: a doubling of the N price reduces the total used by between 24% and 10% depending on the availability of low-N break-crops. Cereal price changes reduce profitability severely before having any significant effect on N use.     

SUPPLY RESPONSE IN THE AUSTRALIAN SHEEP INDUSTRY: A CASE FOR DISAGGREGATION AND DYNAMICS*

Microeconomic capital goods theory was utilised to provide a theoretical framework on which a dynamic econometric model was based. Econometric procedures were then employed in an analysis of sheep producers' decision making regarding the annual supplies of wool, lamb and mutton, and annual changes in the inventory levels of sheep, lambs and ewes maintained for breeding purposes. Estimates show that wool prices provide the long-run stimulus for increases and decreases in the sheep flock while mutton and lamb prices are responsible for short-run changes in flock composition. Substitution between sheep and beef cattle is of considerable importance although no significant substitution between sheep and cropping could be found. Seasonal conditions proved to be an important short-run supply shifter, affecting both numbers and composition of the sheep flock.