Predator or prey? Effects of farm growth on neighbouring farms

We provide explorative insights on how farms which manage strong and successful growth affect farms in their neighbourhoods through spatial competition for land. The study is based on an exploratory analysis of repeated framed experiments within the business game FarmAgriPoliS (Appel & Balmann, Ecological Complexity, 40, 2019). In particular, we analyse the spatial influences of different behavioural clusters of farm managers. Our analysis finds that farms which manage strong growth substantially affect the development of farms in a spatial neighbourhood of some 10 km. Although the influence on the neighbourhood decreases with distance, the functional correlations of farm growth as well as exits are neither linear nor exponential, but eventually rather wave-like. We further discuss the spatial interdependence of farms and the related overlaps of the predator–prey phenomenon with the phenomena of farms' path dependency and agricultural structural change. We conclude that along with farmers' strategies and their abilities, the characteristics of their neighbours and the distances between neighbouring farms also determine who is ‘predator’ and who is ‘prey’.     

Factors affecting farm growth intentions of family farms in mountain regions: Empirical evidence for Central Switzerland

Family farms in mountain regions are undergoing a progressive structural change and an ongoing shift in the allocation of production factors land, capital and labor. In Switzerland, various policy measures influence the re-allocation of these production factors. To understand the effectiveness of these schemes and to assess future farm structural change, it is useful to analyze the underlying drivers which support and hinder the emergence of individual farm growth strategies. We study the family farms’ growth intentions using a logistic regression model based on a combination of census and survey data on family characteristics from two mountain case study regions in Central Switzerland. Factors supporting farm growth intentions are the relative change in farm size in recent years, farm related sunk costs, farm diversification and farm size. We found no support for the hypothesis that farm growth intention is also influenced by the perceived personal situation represented by indicators for the perceived workload, psychological stress and financial problems. In addition, off-farm labor did not prevent farmers from stating growth intentions. Our empirical findings suggest that (i) the most important factors which support farm growth intentions correspond with factors driving observed patterns of structural change; (ii) limited availability of family labor may result in a new critical threshold for farm growth strategies; (iii) aims and non-pecuniary preferences of farmers will impede a rapid structural change in the near future.     

The role of family life-cycle events on persistent and transient inefficiencies in less favoured areas

Family farms dominate less favoured areas (LFAs) within Europe, and family life-cycle conditions, such as succession and retirement, affects how these farms adapt to changing circumstances. Past studies of on-farm technical efficiency have not directly addressed these conditions, but they may explain why some farms are more efficient than others, especially as the farm family model dominates most farming systems. Motivated by the UK's withdrawal from the EU and the debate around establishing replacement support policies, we apply a multi-step model to measure both transient and persistent inefficiencies using a panel of LFA cattle and sheep farms in Scotland over the period 2003–2020. We find a greater prevalence of persistent compared to transient inefficiency, which suggests that structural problems still exist. Farms with planned succession are found to have higher persistent efficiencies, whereas farmers nearing retirement have lower levels. Other factors, such as dependence on subsidy, off-farm activity and classification as severely disadvantaged tend to compound these lower efficiencies. We argue that life-cycle conditions should not be ignored in studies of farm technical efficiency. Within the scope of framing a new agricultural policy for UK administrations, these results inform the debate on support for LFAs, as well as the promotion of support towards generational renewal to ease transition across farm family life-cycle events.     

Enhancing productivity on suburban dairy farms in China

Dairy farms in China's suburban areas have been playing an important role in providing urban markets with fresh milk. With the rising demand for fluid milk and dairy products in the cities, there is a perception that small and scattered dairy farms in China's provinces are gradually disappearing and more concentrated dairy cattle farming is being formed near suburban areas. This article uses farm‐level survey data and stochastic input distance functions to make estimates of total factor productivity (TFP) on suburban dairy farms, as well as for the entire dairy sector. The results show that over the past decade TFP growth has been positive on suburban dairy farms, and this rise in productivity has been driven mostly by technological change. However, at the same time we find that, on average, the same farms have been falling behind the advancing technical frontier. We also find one of the drivers of the suburban dairy sector is the relatively robust rate of technological change of these farms, which has been more rapid than on farms in the dairy sector as a whole. The results suggest that efforts to achieve greater adoption of new technologies and better advice on how to use the technologies and manage production and marketing within the suburban dairy sector will further advance productivity growth in the sector.     

Is there a future for small farms in developed countries? Evidence from the French case

This research aims to identify the specific characteristics of small farms in developed countries and the factors that influence their survival and growth. Using the case of France, we employ statistical and econometric analysis of data from the Farm Structure Survey (N = 70,000) for the period 2000–2007. The principal findings suggest that small farms are no more likely than other farms to employ “alternative” strategies to the predominant model of increasing farm size, nor are they more likely to diversify on‐farm activities or operate under quality‐labeled production systems, with the notable exception of organic agriculture. However, where small farms do adopt or practice these activities, they are seen to have a favorable effect in ensuring their survival and growth. In contrast, we are unable to conclude that pluriactivity of farm households has a positive impact on the survival of small enterprises. The effect of geographical location on small farms is largely expressed in their concentration in mountainous or disadvantaged regions. Overall, the trajectory of small farms is marked by farm exit, principally as the result of farmers retiring at the end of their careers. The small farm sector is also revitalized by both larger farms declining and thus being reclassified as small farms, as well as the progressive entry into agriculture of small farm holders whose income was previously derived largely off‐farm.     

Growth of milk production in German dairy farms: an empirical study based on event history analysis

This article investigates determinants of growth of milk production in German dairy farms with the use of event history analysis. This methodology enables the analysts to consider time as a proxy for not measurable effects on growth. The likelihood of a farm's moving from a nongrowth episode into a growth episode is estimated and the impact of various covariates on that likelihood is assessed. The analysis is based upon a balanced panel of annual farm accounts from 616 specialized dairy farms in Germany, covering the financial years 1995/1996–2008/2009. The results from event history analyses are presented for low and high growth rates. For both groups, it was found that the probability of entering a growth episode, defined as the event to be analyzed, increases over time, e.g., as a consequence of an increasing need to improve competitiveness. Moreover, several covariates, such as the share of subsidies in returns, farmer's age, and milk price, had a significant impact on growth in a farm's milk production. The analysis revealed, however, that the effect‐direction of some explanatory variables differed between the two groups.     

O‐Ring production on U.S. hog farms: joint choices of farm size,technology, and compensation

We hypothesize that hog production can be characterized by complementarities between new technologies, worker skills, and farms size. Such production processes are consistent with Kremer's O‐ring production theory in which a single mistake in any one of several complementary tasks in a firm's production process can lead to catastrophic failure of the product's value. In hog production, mistakes that introduce disease or pathogens into the production facility can cause a total loss of the herd. Consistent with predictions derived from the O‐ring theory, we provide evidence that the most skilled workers concentrate in the largest and most technologically advanced farms and are paid more than comparable workers on smaller farms. These findings suggest that worker skills, new technologies, and farm size are complements in production. The complementarities create returns to scale to large hog confinements, consistent with the dramatic increase in market share of very large farms over the past 20 years.     

农业产业化联合体实现机制及其决定因素——基于家庭农场调查数据的实证分析

[目的]农业产业化联合体是我国乡村产业融合发展的高级形态,对农业现代化起关键作用。探究家庭农场对联合体的满意情况及其影响因素,对于联合体的持续稳定发展有重要的现实意义。[方法]文章利用2020年对安徽合肥、亳州、六安和宿州等9个地市的农业产业化联合体调查数据,分析了安徽省各地区、各生产类型的家庭农场对农业产业化联合体满意情况,并对满意度影响因素采用多分类有序Logistic回归模型进行了实证分析。[结果]各地区的家庭农场对联合体的满意情况存在一定差异,但不同类型的家庭农场满意差距不大。家庭农场满意度受到结构因素的影响,其中种养规模、共同目标制定、沟通程度对满意度产生正向影响,而文化程度与机会主义行为对满意度产生了负向影响。过程因素中的合同履行与监督制度对满意度产生正向影响,结果因素中体现经济与社会效益的利润率增长和劳动力带动对满意度有正向影响。[结论]积极扩大家庭农场的生产规模、完善联合体的监督管理制度、加强利益联结等措施是实现农业产业化联合体可持续发展的关键。     

Agricultural Policies and Structural Change in French Dairy Farms: A Nonstationary Markov Model

The aim of this paper is to gain an understanding into how agricultural policies have affected structural change in the French dairy sector. A nonstationary Markov model is estimated using a Generalized Cross Entropy approach. Results show that while the price of cow's milk encourages farm growth, direct payments and quota restriction favor small farms. The price signal is a key factor of structural change. As a result, higher milk prices may accelerate the trend toward the further growth of dairy farms. Settlement policy and technical change seem not to slow this trend.     

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.     

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).     

Gender,Generation and the Experiences of Farm Dwellers Resettled in the Ciskei Bantustan,South Africa,ca 1960–1976

This paper examines the experiences of farm dwellers resettled in rural townships in the Ciskei Bantustan during the decades of the 1960s and 1970s. Drawing on the oral testimonies of elderly residents of Sada and Ilinge townships, the paper shows how gendered and generational inequalities within households were crucial factors shaping individuals' experiences of resettlement from the farms. The paper engages with an older literature that regarded the abolition of labour tenancy and linked resettlement programmes as the final stage of farm tenants' proletarianization. It highlights the problems of this linear narrative, and argues that men and women experienced and understood this process in radically different ways. Male labour migration and the remnants of farm paternalism meant that while resettlement cemented the status of migrant men, for women and non‐migrant men this process was characterized by contradiction: on the one hand, escape from the spatial hegemonies of farm paternalism and, on the other, heightened economic exposure.     

The economic role of Russia's subsistence agriculture in the transition process

In this article, we analyze the role of subsistence‐oriented agriculture in Russia in the 1990s. We start out by discussing the diverging economic effects of the growth of subsistence agriculture in Russia since the transition process started. The quantitative analysis of this sector's role is carried out by means of an applied computable general equilibrium (CGE) model applying a 1994 social accounting matrix (SAM) as base year data. The novelty of the article is to disaggregate primary agricultural production not by products but by farm types, which enables us to distinguish their institutional and economic characteristics. The model also explicitly differentiates between marketed and subsistence consumption or formal and informal marketing activities of agricultural producers. We simulate two ex post and two ex ante experiments. The results of the first backward‐looking experiment highlight that Russia's subsistence agriculture was an important buffer against further agricultural output declines during transition and, hence, against food insecurity. A simulation, which looks into the effects of a devaluation of the Russian ruble, shows that the financial crisis should have increased the relative competitiveness particularly of large‐scale crop farms versus small‐scale farms. Two forward‐looking experiments indicate that efficiency enhancing institutional change would benefit both large‐scale and small‐scale farms. However, within small‐scale agriculture, a shift from subsistence to commercial agriculture would take place.     

Farms,farmworkers and new forms of livelihoods in southern Africa

This review essay looks at three recent books on farms, farm labour, and rural livelihoods in southern Africa. The books—Farm labor struggles in Zimbabwe: The ground of politics, by Blair Rutherford; Ordered estates: Welfare, power and maternalism on Zimbabwe's (once white) Highveld, by Andrew M. C. Hartnack; and Zimbabwe's migrants and South Africa's border farms: The roots of impermanence, by Maxim Bolt—offer a range of insights into labour politics and management, new forms of livelihoods on farms and former farms, and how those living on farms interact with informal economies. Usefully, the books cover events over the past two decades, as well as providing regional insights into important contemporary issues. While the books converge in a number of ways, this essay will focus on two key themes: (i) how they address issues of farm management and labour control; and (ii) they ways in which they explore farmworker agency in times of change and in areas of informality and precarity.     

Herd Growth,Farm Organisation and Subsidies in the Dairy Sector of Russia and Kazakhstan

Initially taken as a template for farm restructuring after the demise of collective agriculture, the ‘Western family farm model’ has taken root in the former Soviet countries only belatedly and incompletely. We examine dairy structures in Russia and Kazakhstan and analyse the drivers of recent herd growth. We are specifically interested in the role of farm management and organisation, vertical integration, and the role of policy. Regression analysis based on a sample of 180 randomly selected commercial dairy farms, using an innovative simultaneous equation framework, shows that better herd management and access to milk marketing contracts were more effective in stimulating herd growth than current subsidy payments. We do not find evidence that milking plants belonging to corporate entities or even supra‐regional agroholdings grow more substantially than medium‐sized individual farms. Twenty‐five years after the end of central planning, structural change among commercial dairy farms in Russia and Kazakhstan appears similar in many ways to the patterns observed in the West more recently: smaller farms catch up in terms of herd growth and classical family‐run operations coexist with or even emulate vertically integrated agribusinesses based on hired labour. In moving toward this ‘new normal’ of farming structures, commercial dairy farms in Russia may even be a few steps ahead of their Western counterparts. At the same time, the still sizeable but stagnating group of subsistence producers in rural households finds no equivalent in the West.     

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.     

FARMERS‘ WIVES - THEIR CONTRIBUTION TO THE FARM BUSINESS

The contribution which farmers' wives make to the farm business is typically overlooked and under-valued, yet the farm could not function without it. The paper describes the nature of the work done by wives on farms in the UK and Ireland as revealed by two recent postal surveys. Using data from the Farm Business Survey for England and Wales, it attempts to quantify some aspects of the work. It is suggested that farm wives may contribute 5 per cent of the manual hours worked by the regular labour force and 9–10 per cent of the total regular labour input on main holdings. Further, as hired and family labour is shed and farmers seek additional employment, the wife's labour contribution is likely to become more significant. Continued neglect of women's involvement may jeopardise the future of the family farm. The paper suggests how data collection procedures might be improved to give a more realistic picture of the wife's contribution.     

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.     

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.     

How training and innovation link to farm performance: a structural equation analysis

The complexity of modern farm management places great demands on the skill, knowledge and capability of farm managers and their families. Keeping abreast of emerging technologies and innovations that can affect each key farm enterprise, and knowing how best to marshal the resources required for profitable farm production, are key tasks of farm management. This study draws on a longitudinal data set of 240 broadacre farmers to compare and analyse their farm performance over a decade. Using structural equation modelling, we examine relationships between the farm family's involvement in training, their human capital, their use of various innovations and ultimately the linkages of these factors to farm financial and productivity performance. Several statistically significant inter‐relationships are found, and some factors are shown to have significant positive links to farm performance. We find that training undertaken by the farm family, the farm family's human capital and their use of innovations, particularly key cropping innovations, have significant beneficial impacts on farm performance. The farmer's skills in time and organisational management, their engagement in business planning and the unique environmental characteristics of the farm also significantly and positively influence farm performance.