Farm size,productivity and returns to scale in agriculture revisited: a case study of wine producers in South Africa

The inverse relationship between farm size and productivity has almost become a ‘stylised fact’ in the economic development literature. Most of the studies contributing to this preception have been Hawed by methodological shortcomings and the request is that these studies be treated with caution. Using recent farm survey data from the wine producing areas of the Western Cape of South Africa, this study attempts to overcome some of the methodological problems, distinguishing between partial and total productivity measures. Using data envelopment analysis, most of the wine grape producers were found to operate under constant returns to scale. Co-operative membership seemed to overcome the economies of scale associated with processing and marketing. The inverse relationship between farm size and both land productivity and total factor productivity is weak, not consistently negative and differs between regions. Thus, caution must be used when advocating rural development policies based on the inevitability of an inverse relationship existing in all sectors and production regions of agriculture.     

ON THE GROWTH OF THE AGRICULTURAL FIRM*

Theoretical problems involved in the reconciliation of the assumption of constant returns to scale with determinacy of firm size are discussed with particular reference to Australian farms. Various techniques for examining changes in the size distribution of firms are examined and their use demonstrated. The work is stochastic rather than deterministic. B.A.E. sheep industry survey data is used and flock size is used as the measure of farm size. The results do not suggest that inequality in the distribution of farm sizes is increasing. Growth differs between flock sizes within the same region and for the same flock size between regions. Profitability seems to be relatively larger in the medium flock sizes.     

Technology choice and efficiency on Australian dairy farms*

Deregulation of the Australian dairy industry, specifically the removal of price subsidies to ‘market milk’, as well as ongoing drought in many dairy regions, has placed considerable pressure on farm cash income and a search for ways in which dairy farms can be made to operate more efficiently. Using traditional farm survey data and a unique biannual data set on farm technology use, this paper estimates a stochastic production frontier and technical efficiency model for dairy farms in New South Wales and Victoria, determining the relative importance of each input in dairy production, the effects of key technology variables on farm efficiency, and overall farm profiles based on the efficiency rankings of dairy producers. Results show that production exhibits constant returns to scale and although feed concentration and the number of cows milked at peak season matter, the key determinants of differences in dairy farm efficiency are the type of dairy shed used and the proportion of irrigated farm area. Overall farm profiles indicate that those in the ‘high efficiency group’ largely employ either rotary or swing‐over dairy shed technology and have almost three times the proportional amount of land under irrigation.     

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.     

典型家庭农场组织化程度对生产效率的影响分析

现阶段中国农业生产仍属于高投入、低效率的粗放模式,粮食安全缺乏可持续性.研究不同规模下不同组织形式的家庭农场生产效率,有助于揭示在中国农业高质量发展阶段中通过转变农业经营组织形式提高粮食生产效率,保障国家粮食安全的新路径.本文利用湖北武汉、安徽郎溪等地家庭农场的问卷调查数据,采用三阶段DEA方法比较纯种植与种养结合两类...     

Specialization,diversification, and productivity: a panel data analysis of rice farms in Korea

This article examines the microeconomics of productivity associated with specialization/diversification in production activities, with an application to Korean rice farms. Korean rice farms tend to be very small and highly specialized. Our analysis examines the productivity effects associated with both farm size and farm specialization/diversification in Korean agriculture. Relying on farm‐level panel data, the analysis studies farm productivity in a multi‐input multi‐output context, accounting not only for changes in inputs and technical change in rice production, but also for the role of diversification in the production of other crops in current and previous periods. We find positive but small productivity gains from farm diversification. These gains come mostly from complementarity effects across farm outputs, with minimal effect of scale economies. The positive complementarity effects work against nonconvexity effects, which provide strong productivity incentives for rice farms to specialize.     

Impact of farm management diversity on the environmental and economic performance of the wheat–maize cropping system in the North China Plain

To assess the attainable greenhouse gas (GHG) mitigation potential from crop production in China's most important grain production region, the North China Plain (NCP), single farm environmental and economic performances of 65 winter wheat–summer maize (WW–SM) producing households were determined. The results revealed a huge heterogeneity among farms, with up to five times higher environmental impact of worst compared to best performing farms. Astonishingly no trade-off between productivity and sustainability could be identified in the region, with high-yield farms emitting no different amounts of GHGs per hectare compared to low-yield farms. Building on cluster analysis, with farms grouped according to their economic and environmental performance into ‘poor’, ‘fair' and ‘good’ producers, the regional GHG mitigation potential was estimated. Under the scenario assumption that all grain in the NCP is produced under ‘good’ production conditions, 21% and 7% of GHG could be mitigated in wheat and maize production, respectively. The study shows that in the NCP, exemplary for China's rapidly developing agricultural sector, the crop management skills of a substantial share of farmers could obviously not keep pace with the massive input intensification. Among others, farmer–farmer trainings are recommended to close the gap in crop production performance among producers.     

Future-proofing the farm: On-farm wind turbine development in farm business decision-making

The European Union is committed to increasing the renewable energy produced and consumed within its territory, creating an opportunity and demand for renewable energy production on agricultural land. In this paper, Ajzen's theory of planned behaviour (TPB) is utilised to structure qualitative research on the role of renewable energy production in farm business decision-making, through a case study in North East Scotland. Qualitative interviews were undertaken with 23 farmers who had pursued wind energy production, and a further nine key informants. It is found that farmers undertake wind energy production primarily to ‘future proof’ their farms, increasing the long-term economic viability of their farms through business diversification and profitable capital investment. Although environmental considerations were not the primary consideration in turbine development, respondents recognised the energy dependence of farming and the depletion of world energy resources, including these issues in their rationales. The primary obstacles to turbine development focused around economic risks and transaction costs, which some respondents moderated by reducing turbine size or renting land to developers, thus increasing their ‘perceived behavioural control’. Relationships between intention and behaviour are thus found to be multi-directional. The authors argue that on-farm renewable energy production could lead to increased environmental awareness among farmers (and thus more economically and environmentally sustainable agricultural practices), as well as providing a potential economic boost for local economies, but that these opportunities are at risk of being co-opted by large-scale energy companies, which are better able to negotiate the growing complexities and risks of turbine development.     

Total factor productivity change in hog production and Quebec's revenue insurance program

Quebec's hog industry is supported by a revenue insurance program that guarantees a minimum price, but it also faces strict environmental constraints. Under price volatility, risk-averse farms may contract their output enough to produce under increasing returns. We show that the subsidy and downside risk reduction effects of the revenue insurance program tend to stimulate output and increase the likelihood of production under increasing returns. Environmental constraints that raise the cost of manure management and limit areas under cultivation also increase the likelihood of decreasing returns. Scale efficiency and technical efficiency measures are obtained through a parametric decomposition of total factor productivity (TFP) obtained from the estimation of an output distance function. As in hog studies pertaining to other countries, we found a TFP average annual growth of 5.2% between 2004 and 2012. Scale efficiency is much lower than in other countries, as per our prior about the program's distortions and environmental constraints. Integrating annual TFP gains into the setting of the minimum guaranteed price could reduce program costs by $12 million per year. About $70–80 million per year could be saved by investing in extension activities that would bring increase the level of technical efficiency of inefficient farms to the provincial average. A metatechnology frontier approach allowing for an endogenous input was also implemented to assess the robustness of the scale efficiency results.     

Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach

Achieving sustainable food security and increased farm income will depend on how efficient production systems are in converting available inputs to produce outputs. Using data from Malawi, we estimate a Bayesian directional technology distance function to examine the relationship between farm size and technical efficiency. Our results support the existence of an inverse relationship between farm size and productive efficiency, where small farms are more efficient than large farms. On average, farms exhibit inefficiency levels of 60%, suggesting that productivity could be improved substantially. Improving productive efficiency and food security will require farms to operate in ways where the size of cultivated area is matched by nonland production inputs such as labor, fertilizer, and improved seeds. The results highlight the need for policies that could incentivize farmers to adopt productivity‐enhancing technologies and, where possible, to allocate excess land to lease markets.     

Input Substitution,Productivity Performance and Farm Size

This paper develops a theoretical model to examine the relationship between the input elasticity of (technical) substitution and both farm total factor productivity and size. In the presence of ongoing technical change and its factor bias, the ‘income effect’ arising from farms' cost minimising behaviour enables them to increase productivity by saving inputs or, through the dual equivalent, enlarging farm size. As such, farms with higher elasticities of substitution tend to grow larger and become more productive, which provides a new mechanism through which farm heterogeneity in productivity growth can be examined. Empirical evidence from Australian broadacre agriculture supports this theory and points to important policy implications.     

Exploring Farm Investment Behaviour in Transition: The Case of Russian Agriculture

This paper analyses the investment behaviour of Russian farms during the period of economic stabilisation that followed Russia’s financial crisis of 1998, and is the first to apply the error‐correction investment model to describe farms’ investment behaviour in the transitional context. Additionally, the paper employs the error‐correction and the adjustment‐cost model to test for differences in the investment behaviour between various farm categories. The results show that in general Russian farms exhibited an error‐correcting behaviour in the period under investigation. From 1999 to 2005 the output–capital gap was closed by an average rate of 10% per year. Estimates of the adjustment‐cost model show that Russian farm investments are very sensitive to the sales–capital ratio, suggesting that Russian farms exhibit increasing returns to scale and positive expectations about future revenues. Yet, such farm characteristics as ownership structure, access to input markets and also regional specifics were found to be decisive for farm investment not only in the short but long term too. Finally, the results show that the adjustment‐cost model is adequate for the evaluation of differences in short‐term investment behaviour, whereas it is noticeably less powerful for investigating differences in the farms’ long‐term investment behaviour.     

FARM TENURE AND FARMING PRACTICE

The performance of wholly owned, wholly rented and mixed tenure farms in the Farm Management Survey sample for England and Wales is compared on a range of criteria, controlling farm size and type. Mixed tenure farms are found to perform noticeably better than ‘pure’ tenure types. Possible explanations for inter-tenure differences in performance are reviewed under the headings of capital provision, farmer motivation and resource mobility. Evidence from the FMS and from interviews with 48 farmers provide only weak support for hypotheses relating performance to capital endowments, the ‘spur’ of market rents or asset appreciation. Findings on changes in farm size and tenure, however, suggest that tenure could be determined by, rather than being a determinant of, farm performance.     

Estimating Farm Productivity Differentials using Panel Data: The Hausman‐Taylor Approach

This paper investigates the relation between unobserved farm productivity and other production factors in a system of netput equations for specialised pig breeding farms in the Netherlands. In order to estimate the system, a Hausman‐Taylor panel data estimator is developed for a system of equations with unbalanced panel data. Tests on the correlation between model variables and farm‐effects are performed, yielding an insight into the sources of differences in total factor productivity and its components (e.g. managerial ability and scale economies). Results indicate that specialised pig breeding farms that are characterised by high total factor productivity have more buildings and machinery than farms with low total factor productivity.     

Resource reallocation and its contribution to productivity growth in Australian broadacre agriculture

This article uses farm survey data to measure the contribution of cross‐farm resource reallocation to industry‐level productivity growth in Australian broadacre agriculture. We show that resource reallocation between farms mainly occurred between incumbent farms and between farms with different productivity growth. Resource reallocation is estimated to account for around half of the industry‐level productivity growth that occurred between 1978 and 2010, and its contribution appears to have increased over time. Moreover, we also show that resource reallocation effects vary across different inputs, partly due to their different mobility. This analysis improves our understanding of how reforms targeting structural adjustment – and the resource reallocation this generates – can influence aggregate productivity growth.     

Scale Economies and Inefficiency of U.S. Dairy Farms

This study employs data drawn from the 2000 Agricultural Resource Management Survey, a U.S. Department of Agriculture-sponsored farmers' survey. The article estimates returns to scale relationships across dairy farms of different sizes and across different regions, incorporating variables hypothesized to influence farm performance. Results point to significant scale economies in U.S. dairy farms and underscore the importance of taking account of inefficiency when estimating scale economies. Contrary to previous research, the preferred cost function specification does not show a region of decreasing returns to scale. This finding helps explain why the average size of dairy farms has been increasing.     

Nonparametric analysis of technical,pure technical,and scale efficiencies for food crop production in East Java,Indonesia

Nonparametric analysis of technical efficiency for irrigated farms in the Madiun regency in the west-central part of East Java, Indonesia is conducted using linear programming techniques. This procedure allows the relative technical efficiency for each farm to be determined and for inefficiencies to be decomposed into pure technical inefficiency and scale inefficiency and does not require restrictions or assumptions regarding functional form to be placed on the data. Farmers in Madiun generally are efficient relative to each other. Farmers operating inefficiently do so more often because of scale inefficiencies rather than pure technical inefficiencies. A majority of the farms operate in the region of decreasing returns to scale rather than increasing returns to scale. Farmer age, the level of diversification of cropping activities, and high school education were found to be related to technical efficiency in the rainy season under irrigated conditions. Other socioeconomic factors were not statistically significant. The results imply that inefficient farms use excessive levels of inputs, particularly nitrogen fertilizer. This is perhaps due to the lingering effects of past input subsidization policies, particularly of fertilizers, in Indonesia, or to risk-reducing behavior. The results also imply that current government policies to encourage diversification of cropping practices in Java may lead to greater technical inefficiencies in production. In addition, extension education targeted to younger farmers with low levels of formal education would improve efficiency.     

Farm size and the determinants of productive efficiency in the Brazilian Center-West

This paper explores the determinants of technical efficiency, and the relationship between farm size and efficiency, in the Center-West of Brazil. This is the region where agricultural production and total factor productivity have grown the fastest since 1970. It is also a region characterised by unusually large farms. Technical efficiency is studied with Data Envelopment Analysis and county level data disaggregated by farm size and type of land tenure. The efficiency measure is regressed on a set of explanatory variables which includes farm size, type of land tenure, composition of output, access to institutions and indicators of technology and input usage. The relationship between farm size and efficiency is found to be non-linear, with efficiency first falling and then rising with size. Type of land tenure, access to institutions and markets, and modern inputs are found to be important determinants of the differences in efficiency across farms.     

‘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.     

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.