Analysing behavioural differences of farm households: An example of income diversification strategies based on European farm survey data

Different forms of income diversification represent important strategies of farmers to either cope with the changing economic framework conditions or to valorise given territorial potentialities. Nevertheless, the decision to diversify economic activities on or off the farm will heavily depend on the agricultural business and household characteristics. Our study used a survey of 2154 farms from eleven European regions to identify distinct farm types in order to investigate differences regarding the willingness to diversify in the future. Two scenario situations with continuation (baseline) and without any market intervention (“No CAP”) were tested. A factor and cluster analysis depicted six farm types both previously described and novel. The typology proved validity across all case studies, whereas single types occurred more frequently under specific site conditions. The six farm types showed strong variations in the stated future diversification behaviour. Young farm households with organic production are most likely to diversify activities particularly on-farm, whereas farm types characterised by intensive livestock holding and also already diversified and part-time farm households are least likely to apply this strategy. Results have further shown that under hypothetical conditions of termination of economic support by the Common Agricultural Policy (CAP) an increasing share of farmers – throughout all types – would apply income diversification, mainly off-farm diversification, as a survival strategy.     

Landscape properties as drivers for farm diversification: A Dutch case study

Farm diversification is stimulated by the societal demand to transform production countryside into consumption countryside. In most empirical studies on farmers’ decision making for diversification, geographical information is either omitted or reduced to a variable that links the farm to an administrative unit. Therefore, the influence of the exact farm location on farmers’ decision making is often lacking. The paper addresses the role of location, in terms of site specific natural conditions as well as neighboring dynamics, in influencing farmers’ decision making to diversify. Moreover, it investigates to what extend low returns from primary production stimulate farmers to find new survival strategies, and therefore explains diversification. The Gelderse Vallei area, a region in the center of the Netherlands, is used as a case study. For this area an extensive farm survey data could be combined with topographic data and soil maps (GIS). Both the number of activities as well as the kind of activities that are taken up are analyzed. Landscape attractiveness turns out to be a driver of diversification. Daily recreation most frequently occurs close to national parks, green services are more likely to occur on relatively wet soils. Activities resulting from diversification might produce positive externalities: new activities have the tendency to emerge next to already existing ones, therewith explaining the formation of “hotspots” in the landscape. Finally, diversification was found to be sensitive to returns from primary agriculture production.     

Is farming enough in mountain areas? Farm diversification in the Pyrenees

The continuity of farming in mountain areas in Europe is at severe risk and its future faces manifold uncertainties. Mountain farms are immersed in a long-term process of reorganization. Farm diversification plays a prominent role in this process of adjustment and reallocation. However, little work has been done explicitly on the role farm diversification plays in the current structural changes occurring. In order to fill this void, the nature of farm diversification has been examined in the Pyrenees, where four different typologies of farms have been identified: absence of diversification, agricultural diversification, farmland diversification and finally farm labour diversification. These typologies reflect a gradation along which the farm diversification practices are applied to more aspects of the farm household. Throughout this gradation farming is increasingly marginalised. Finally, it is argued that the endorsement of policy measures stimulating farm diversification in mountain regions should be cautiously considered, since there is high risk of encouraging further agricultural abandonment.     

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.     

Farm diversification strategies in northwestern Spain: Factors affecting transitional pathways

The present paper identifies strategies that farmers have undertaken in northwestern Spain, an area characterized by late structural adjustment. For this study, a survey of over 559 farms has been conducted in four areas representative of different specializations and rural situations, from marginal to productive intensification. Farms have been categorized according to social and productive characteristics through a multivariable analysis. Four basic behaviors have been identified and connected with farm types and rural areas using a multiple correspondence analysis. These basic strategies were defined depending on whether investments have been made on farms to increase or intensify production and whether new on- or off-farm diversification activities have been introduced. This analysis allows us to assess transitional pathways for the future and to assume some consequences of farm behavior in connection with structural adjustments. Thus far, empirical evidence shows that the nature and main drivers of the diversification process are different from those in northern European areas. At the same time, a significant level of farm abandonment is registered.     

FARM DIVERSIFICATION AND RURAL DEVELOPMENT

Under a new policy initiative, grants will be payable for the setting up of ancillary businesses on or adjacent to farms in the UK. While this initiative is to be welcomed, it is suggested that more could be done to develop the rural economy as a whole. Farm diversification grants, modelled on previous farm capital grant schemes, are focused on a narrow range of activities, for which demand is likely to be limited, and are most appropriate for the larger farm. They imply that farmine will continue to be the main activity and run counter to current trends. The goals of rural development and farm income support might be pursued more effectively by encouraging the creation in rural areas of off-farm employment, unrelated to agriculture, and suitable for members of families on low-income farms.     

Internal and contextual drivers of dairy restructuring: evidence from French mountainous areas and post‐quota prospects

The end of the milk quota system in Europe has resulted in substantial structural changes to the dairy industry, calling its future into question, especially in mountainous areas. This study analyzes the internal and contextual factors that influence dairy restructuring in French mountainous areas. Three complementary logit models are used to specify farmer decisions (e.g., dairy production exit, stability, and growth). Original and exhaustive geo‐located administrative datasets are combined to create a farm longitudinal dataset and characterize farm‐restructuring patterns on a fine geographical scale. Farm size, corporate legal status, and specialization are positively associated with farm growth. Viable diversification strategies through either farm processing or agro‐environmental scheme contracting are also highlighted. Farm sustainability is supported by the economic success of the local industry and the propensity to adopt extensive practices. With respect to public policy, dairy policy appears to have the strongest impact. Thus, the liberalization of dairy policy threatens the future of dairy farming, particularly in areas with low milk density and no production under labels. This work calls for a policy that promotes the collective dimension of dairy farm performance. The current rural development policy alone may be insufficient to support farms’ long‐term sustainability.     

Professional urban agriculture and its characteristic business models in Metropolis Ruhr,Germany

‘Low-cost specialization’, ‘differentiation’, and ‘diversification’ are three overarching business models of professional urban agriculture in developed countries. Manifold city-adjusted farm activities belong to these business models resulting in the characteristic farm heterogeneity of urban areas. This paper makes use of the business models as tool for a geo-statistical analysis to spatially investigate farming patterns in reference region Metropolis Ruhr, Germany. Additional farm interviews substantiate findings of the geo-statistical analysis by focusing on horticulture as a common farm activity towards ‘low-cost specialization’, direct marketing and participatory farming belonging to ‘differentiation’, and equestrian services as a representative of the ‘diversification’ business model. These farm activities and underlying business models concentrate and tend to spatially cluster in the metropolitan’s center where population density is highest and farmland proportion is lowest. Agriculture plays a significant role in Metropolis Ruhr cultivating about one-third of the metropolitan area, but on-going loss of farmland and short-term lease of land affect farms considerably by complicating access to land. Most differentiated and diversified farms require certain amount of farmland to be successful, which is threatened by further farmland losses along with increased competition for the remaining farmland. Long-term planning security is crucial for farms focusing on high added value crops and organic farming. Progressively emerging participatory farming activities demonstrate urban farms’ abilities to innovatively adapt to societal demands. Better knowledge on professional urban agriculture’s farm activities and business models is of importance for farms and their related advisory services to address the urban context in farm development strategies more accurately, but also for public authorities’ planning and policies in land-related decision making. Economic viability of professional urban agriculture is the key requirement for additional social, environmental, and landscape functions within urban areas.     

A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania

This article presents insights into the efficiency of Lithuanian family farms. The research covers the years 2004–2009 and is based on farm‐level Farm Accountancy Data Network data. Bootstrapped data envelopment analysis was employed to obtain efficiency scores, whereas stochastic kernels and multivariate methods, viz. fuzzy clustering and nonparametric regression, were utilized to assess the impact of selected determinants on efficiency. Clustering analysis indicated that the efficiency change paths specific for the analyzed sample differed in both their average levels and ranges. Furthermore, it was concluded that Lithuanian agricultural policy should focus on increasing the efficiency of crop farms. Cluster analysis suggested that production subsidies might be having a negative effect on efficiency.     

Profitability and Efficiency of High Nature Value Marginal Farming in England

The UK Brexit vote triggered a new wave of policy developments for a future outside the EU. In this context, we analyse the business performance of English hill and upland farms, characterised by marginal economic conditions but also high nature value (HNV). The analysis aims to help identify farm-level management and policy options for greater economic, environmental and social sustainability. Business performance is measured as technical efficiency and the occurrence and persistence of abnormal profits, estimated through stochastic frontier analysis and static and dynamic panel-data methods. The results help indicate rationales for recent trends including farm enlargement, farm family diversification, and agri-environment scheme entry. The single farm payment is found to be negatively associated with farm technical efficiency while agri-environmental subsidies were positively associated to short-term farm profitability. Farm adaptation and resilience during a period of likely turbulence in external circumstances is discussed in light of these findings, as well as potential parallels with marginal HNV areas across Europe.     

Did the Federal Crop Insurance Reform Act Alter Farm Enterprise Diversification?

We estimate how much United States farms changed enterprise diversification in response to a marked increase in crop insurance coverage brought about by the 1994 Federal Crop Insurance Reform Act, which substantially increased insurance subsidies. The analysis exploits farm‐level panel census data to compare farm‐specific changes in enterprise diversification over time. By examining diversification decisions of the same farms over time, we control for time‐invariant unobserved individual heterogeneity. We then use pooled cross‐sectional data from the United States Department of Agriculture (USDA) Agricultural Resource Management Survey to estimate the relationship between farm diversification and average returns. We find that the insurance subsidies caused a modest increase in enterprise specialisation and production efficiency. Estimated efficiency gains are far less than the subsidies.     

蛋鸡养殖场户清洁生产行为实施意愿及影响因素分析

[目的]确定影响蛋鸡养殖场户清洁生产行为的影响因素,分析影响因素间的关联关系和层次结构,推动蛋鸡养殖场户实施清洁生产行为,促进蛋鸡养殖业和环境保护协调发展。[方法]文章基于山东省16地市472家蛋鸡养殖场户的问卷调查数据,运用多元有序Logit模型和ISM模型确定了蛋鸡养殖场户清洁生产行为实施意愿的显著性影响因素及其关联关系和层次结构。[结果]决策者年龄、受教育年限、养殖模式、收入占比、养殖场选址标准认知、设施配置标准认知、清洁饲料标准认知、行为态度以及政府支持力度等9个因素对蛋鸡养殖场户清洁生产行为实施意愿有显著影响。其中,行为态度和政府支持力度是表层直接因素,养殖场选址标准认知、设施配置标准认知和清洁饲料标准认知是中层间接因素,决策者年龄、受教育年限、养殖模式和收入占比是深层根源因素。[结论]提高养殖场户认知、加大政府支持力度、培育养殖典范和保障养殖场户收益是推动养殖场户实施清洁生产行为的有效途径。     

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.     

Policy drivers of farm succession and inheritance

Farm succession and inheritance is increasingly considered a complex phenomenon which not only affects core dimensions of farm family life but also the agricultural sector more widely. Intergenerational farm transfer in particular is increasingly viewed as fundamental to the sustainability and development of global agriculture. In the majority of EU countries, the average age of farmers is increasing, while the number of farmers under 40 years of age is decreasing. There is growing concern that this demographic trend may have negative impacts on the agricultural industry because it is younger and not older farmers who are associated with more efficient and effective production practices. The question of what motivates decisions to transfer farms is a complex one, and research to date has not apparently enlightened agricultural policy to the extent that current trends towards an ageing farm population are being managed. This research aims to investigate economic and financial aspects of the policy drivers of farm succession and inheritance in Ireland to understand what it is about the policy environment that is failing to stimulate higher levels of farm transfer. It draws on the Teagasc National Farm Survey data which provides Irish data to the Farm Accountancy Data Network in the European Commission. A hypothetical microsimulation model is used to investigate economic factors of farm transfers, with scenarios created to test these factors and their impacts on the transfer process. The Net Present Value (NPV) of income streams for farmers and their successors are calculated to assess which scenarios have the highest/lowest financial effects. The findings illustrate a range of possible scenarios for farm succession/inheritance, with some results indicating that under current policy retaining a farm until death may be more economically beneficial to a farmer than transferring land before death.     

Psychological Constructs Underlying Farmers’ Decisions to Diversify or Specialise their Businesses – An Application of Theory of Planned Behaviour

We use the theory of planned behaviour (TPB) to explain how underlying psychological constructs influence farmers’ decisions to extend their farm businesses to income‐generating ventures outside conventional agricultural production. The analysis contrasts the influence of psychological constructs on this decision with those on decisions to specialise in a single farm enterprise or to have multiple farm enterprises. This is one of the first studies to introduce psychological constructs into the study of farm diversification. It is based on a sample of 929 Swedish farms participating in the official Swedish Farm Economic Survey. These data are supplemented with a detailed postal questionnaire to the participating farmers, generating a response rate of 73% and an effective sample size of 679 farmers and their businesses. Data are analysed with factor and multinomial logistic regression analyses. Results show that psychological constructs in TPB (attitude, subjective norm and perceived behavioural control) influence farmers’ decisions regarding the strategy they adopt. Attitude and subjective norm are found to be especially influential in these decisions. Given the prominent role agriculture still has in rural development policy, where the development of new ventures in farm businesses is perceived as the engine for rural economic growth and employment, these findings have clear policy implications.     

The influence of diversification on long-term viability of the agricultural sector

We estimate the impact of diversification on the performance of farm businesses using measures of economic viability among farms in Scotland and Sweden. We derive indicators of viability using national level accounting surveys for the period 2000–2012 and account for short-term and long-term effects within our estimates of viability.A higher proportion of Scottish farms emerge as being more short-term and long-term viable than Swedish farms. This could, we propose, be due to emphasis on enhancing farm viability within Scottish planning for rural development, compared to Sweden which emphasized productivity and environmental enhancement. Moreover, for both countries the trend in viability is relatively stable until 2007, when both panels begin to display the impact of policy and market change.Findings based on a multinomial logistic regression indicate that farms which run additional ventures outside traditional agriculture, and are diversified in the sense that they obtain revenue from two or more agricultural enterprises, are more viable compared to specialized agricultural units. Other factors which affect viability were found to be structural, biophysical and institutional, specifically the reform of the Common Agricultural Policy (CAP) in 2003. However the significance and magnitude of these effects differ across the two countries. Consequently, these results seem to imply the importance of emphasizing non-specialized agricultural activities within rural development policy and, moreover, informs the rationale behind proposed redistributions of CAP payments.     

Agent‐based Modelling of Climate Adaptation and Mitigation Options in Agriculture

Computer simulation models can provide valuable insights for climate‐related analysis and help streamline policy interventions for improved adaptation and mitigation in agriculture. Computable general equilibrium (CGE) and partial equilibrium (PE) models are currently being expanded to include land‐use change and energy markets so that the effects of various policy measures on agricultural production can be assessed. Agent‐based modelling (ABM) or multi‐agent systems (MAS) have been suggested as a complementary tool for assessing farmer responses to climate change in agriculture and how these are affected by policies. MAS applied to agricultural systems draw on techniques used for Recursive Farm Programming, but include models of all individual farms, their spatial interactions and the natural environment. In this article, we discuss the specific insights MAS provide for developing robust policies and land‐use strategies in response to climate change. We show that MAS are well‐suited for uncertainty analysis and can thereby complement existing simulation approaches to advance the understanding and implementation of effective climate‐related policies in agriculture.     

Multiple job holdings among dairy farm families in New York and Ontario

Previous empirical studies of multiple job holding have tended to focus on the characteristics of those obtaining off-farm employment and the factors affecting the hours supplied to those obtaining off-farm activities. None of these studies have explicitly addressed the reasons behind the decision to seek off-farm employment. Neither have they been able to examine in-depth the important issue of how this major component of the farm sector responds to alternative policies, since most studies have used cross-sectional data for a given region. A comparison between countries would permit the analysis of how multiple job holding responds to differing government policies. The purpose of this paper is to examine the reasons for and factors affecting multiple job holdings of dairy farm families in neighboring regions of two counties, United States and Canada. The bordering regions of New York and Ontario have similar geographic conditions but significantly different farm support and social service policies. The results indicate the importance of farm income on why people work off the farm and provide evidence of multiple job holding as a flexible mechanism for coping with changes in the economic environment facing the household. For operators, the driving characteristics influencing off-farm labor participation is the farm's financial position. The supply-managed milk marketing system ensures higher and more stable returns for Ontario dairy farm labor. In contrast, it is family demographics, educational level and social support policy that appears to largely influence spousal off-farm employment decisions. Free medical care in Ontario lowers the reservation wage for household members. The effect of these farm and social support policies on the relative returns to labor in agriculture and non-farm employment explains the lower participation rate and hours supplied in off-farm work by both operators, and hours supplied in off-farm work by both operators and spouses in Ontario dairy farm household.     

Cropland expansion and grassland loss in the eastern Dakotas: New insights from a farm-level survey

The western Corn Belt region of the United States has become a hotspot for agricultural extensification and consequent land use and land cover changes. The goals of this research were to characterize geographic patterns of grassland loss resulting from cropland expansion in the eastern Dakotas, and to understand how these changes were associated with characteristics of individual farms and farm operators. We collected data on grassland conversion and other land use decisions through a mail survey of farm operators in North and South Dakota. Overall, 40% of respondents converted at least some grassland to cropland between 2004 and 2014, and the total acreage of converted grassland was equivalent to 5.1% of the surveyed farm acreage. Although most converted grassland acres (3.2% of farm acreage) were from land enrolled in the conservation reserve program (CRP), there were also substantial amounts of native grassland conversion (1.0%) and tame grassland conversion (0.9%). The total acreage of grassland conversion was more than four times larger than the acreage enrolled in CRP and other conservation programs. Different types of grassland conversion (e.g., native grassland versus CRP) were concentrated in different parts of the study region, and were spatially disjunct from the areas of highest conservation program enrollment. Larger farms were more likely than smaller farms to expand their cropland acreage and accounted for a disproportionate share of grassland conversion. Younger farm operators, higher levels of farm income, higher proportions of rented croplands, and marginal yields were also associated with cropland expansion and grassland conversion. Although CRP and other land retirement programs will remain important policy mechanisms for conservation in this region, they are not sufficient to maintain current levels of grassland cover and do not provide protection for native grasslands. Alternative conservation strategies and new agricultural policies are thus critically needed to maintain the ecosystem services provided by grasslands.     

The Role of the Common Agricultural Policy in Enhancing Farm Income: A Dynamic Panel Analysis Accounting for Farm Size in Italy

As a multi-objective policy, the EU Common Agricultural Policy continues to secure significant income support for farmers as one of the nine specific objectives. We estimate the income transfer efficiency of a broad set of pivotal policy measures, focusing on the effects of farm structure on income transfer efficiency. We use dynamic modelling, based on a micro-data panel of Italian farms for the period 2008–2014, allowing for endogeneity, simultaneity bias, and omitted variables. In line with previous studies and economic expectations, we find that decoupled direct payments provide the highest contribution to agricultural incomes, followed by agri-environmental payments and on-farm investment subsidies. Coupled payments have no significant impacts on farmers’ income. Generally, for all analysed Common Agricultural Policy measures, large farms benefit from greater transfer efficiency levels compared with medium and small farms. These differences among instruments and across farms suggest that policy-participation costs may play a pivotal role, together with the economic structure of farms, in determining the income transfer efficiency of CAP policies.