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This article aims to investigate the financial constraints and nonlinearity of farm size growth.

Farm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.

Results show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.

Further research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.

The implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.

The dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.

Credit may help farmers survive and grow by helping farm households cope with farm or off-farm income variation and by allowing farmers to adopt more efficient production technologies and take advantage of scale economies. This study estimates how credit constraints affect the survival and growth of beginning farms and explores how this effect varies depending on the age of the farm operator.

Farms businesses are classified as credit constrained using a measure of repayment capacity: the interest expense ratio (interest expenses relative to gross income). Linked data from consecutive Agricultural Censuses are used to track individual farms over time.

Results show that beginning farms with a high interest expense ratio take on less new debt over the subsequent five years. These credit-constrained farms were found to have lower five-year survival and growth rates than similar unconstrained farms. The negative effect of being constrained on growth is greater for farms with operators younger than 40 years old.

The finding that credit constraints impede the growth and survival of beginning farms supports a rationale for targeted loan programs designed to help beginning farmers. Results suggest that some of the benefits from these programs will be greater for farms with younger operators.

This study is the first to estimate the effect of credit constraints on the survival and growth of farm businesses. The expansive farm-level panel dataset, which includes almost all beginning farmers in the US, allows for precise coefficient estimates while controlling for numerous farm and operator characteristics.

The purpose of this paper is to introduce the application of sustainable growth challenge (SGC) model in agricultural finance as a conceptual paradigm and then uses the model to measure sustainable growth rates for Illinois grain and livestock farmers. The SGC concept is used to understand the economic conditions and business decisions made by farmers in certain episodes of the time period analyzed.

A seemingly unrelated regression approach is used to analyze the interrelationships of the four levers of growth using a panel data of Illinois farm‐level financial and operating information. The second analysis flows from the first and examines aggregate US farm data to provide an historical perspective of changes in the SGC over time.

Econometric results indicate the relevance of the SGC model in explaining farm financial and operating decisions. The farms’ tendencies to attain balanced growth seem to be more influenced by asset productivity and leverage decisions, which are given different emphasis by grain and livestock farms due to differing operational structures and constraints. This study's estimation and analysis of the USA farm sector's actual and sustainable growth rates from 1981 to 2001 data generally show that the industry has adapted to positive or negative SGCs in a manner consistent with the model.

This paper explores the relevance of the SGC model as a business, policy and teaching tool for understanding issues surrounding farmers’ financial and operating decisions.

The purpose of this paper is to understand how the unfolding diet transformation in East and Southern Africa is likely to influence the evolution of employment within its agrifood system (AFS) and between that system and the rest of the economy. To briefly consider implications for education and skill acquisition.

The authors link changing diets to employment structure. The authors then use alternative projections of diet change over 15- and 30-year intervals to develop scenarios on changes in employment structure.

As long as incomes in ESA continue to rise at levels near those of the past decade, the transformation of their economies is likely to advance dramatically. Key features will be: sharp decline in the share of the workforce engaged in farming even as absolute numbers rise modestly, sharp increase in the share engaged in non-farm segments of the AFS, and an even sharper increase in the share engaged outside the AFS. Within the AFS, food preparation away from home is likely to grow most rapidly, followed by food manufacturing, and finally by marketing, transport, and other AFS services. Resource booms in Mozambique and (potentially) Tanzania are the main factor that may change this pattern.

Clarifying policy implications requires renewed research given the rapid changes in Africa over the past 15 years.

This is the first paper to explicitly link changing diets to changing employment within the AFS.

This study identifies key strategies employed by Illinois grain farms to prevent the erosion of their equity positions due to significant downturns in commodity prices during the implementation of the 1996 farm bill. The econometric results emphasize the collective importance of revenue enhancement, cost reduction, and capital management strategies. Nonfarm‐related strategies aimed at minimizing equity withdrawals through regulated family living expenditures, as well as supplementing low farm incomes with receipts from nonfarm employment and investments, significantly affect cost value equity growth rates. Moreover, significant financial and asset management strategies include those that minimize the costs of borrowing and maintain high asset productivity levels through elimination of excess farm capacity.

The purpose of this paper is to examine the impact of National Rural Employment Guarantee Scheme (NREGS) on farm sector wage rate. This identification strategy rests on the assumption that all districts across India would have had similar wage trends in the absence of the program. The author argues that this assumption may not be true due to non-random allocation of districts to the program’s three phases across states and different economic growth paths of the states post the implementation of NREGS.

To control for overall macroeconomic trends, the author allows for state-level time fixed effects to capture the differences in growth trajectories across districts due to changing economic landscape in the parent-state over time. The author also estimates the expected farm sector wage growth due to the increased public work employment provision using a theoretical model.

The results, contrary to the existing studies, do not find support for a significantly positive impact of NREGS treatment on private cultivation wage rate. The theoretical model also shows that an increase in public employment work days explains very little of the total growth in cultivation wage post 2004.

This paper looks specifically at farm sector wage growth and the possible impact of NREGS on it, accounting for state specific factors in shaping farm wages. Theoretical estimates are presented to overcome econometric limitations.

In the past decade, there has been a dramatic decline in agricultural employment in Bulgaria and several reports have pointed at supply chain modernisation and poor milk quality as the main reasons for the dramatic decline in the number of farms. However, to date the policy debate is been based on ad hoc claims, while there is relatively little micro-level evidence. The purpose of this paper is to analyse the determinants of structural change in the Bulgarian dairy sector in the period 2003-2009.

This paper analyses the determinants of structural change in the Bulgarian dairy sector in the period 2003-2009, using a unique panel survey of 296 farm households in the North and South Central Region of Bulgaria. In order to control for sample attrition bias, the authors use a two-step Heckman model of farm survival and growth model.

The data confirms the rapid outflow of agricultural labour from dairy farming activities: 55 per cent of the farm households supplying milk to a dairy company in 2003 stopped supplying in 2009. The main reasons for quitting are ageing of the household, health problems and an increase in off-farm employment alternatives and not supply chain modernisation and milk quality standards. The institutional innovations which are associated with integration in modern supply chains, such as the provision of farm assistance programmes, have a positive impact on small farms’ growth.

The study is one of the first to use panel data to analyse the impact of standards on the survival and growth of small farms in value chains. The authors analyse the determinants of farm survival and growth in the Bulgarian dairy sector in the period 2003-2009, using panel surveys of 296 dairy farm households in the North and South Central Region of Bulgaria and panel data from interviews with dairy companies. The findings are relevant beyond the Bulgarian dairy sector as supply chain modernisation and changes in quality regulations are taken place in many other transition and developing countries.

It is imperative to offer a new perspective of Entrepreneurial Growth Intention (EGI) that draws directly upon the capability approach. The aim of this study is to investigate the role of capabilities in the context of EGI in the floriculture industry in Sri Lanka.

The study was exploratory and is mainly qualitative in nature. In-depth interviews were carried out with the owners of farms who possess experience in floriculture commercial cultivation in Sri Lanka.

The results emerged that there are different perspectives among farm owners regarding EGI. Drawing attention on the stories of our participants and making a three-phase analysis, we identified 31 key actions denoted by the farm owners. This work then suggests that the seven capabilities might be fruitfully framed around EGI.

As the results stress the role of capabilities in the formation of an entrepreneur's growth intention is vital. Therefore, more targeted measures should be drawn to build fair and supportive facilities to obtain advanced knowledge, to familiarise with the emergence of technology and to attain professional services specifically in financial literacy.

The question of what factors influence EGI at the farm level is still largely unexplored as less is known about the effect of capabilities on EGI. The study expands the current debates on EGI and institutional environment, which allows the mapping out of capability development.

The purpose of this paper is to estimate the degree of technical efficiency, determinants of technical inefficiencies and driving forces behind the production growth for a panel data set collected during the 1998/1999 and 2004/2006 Kharif cropping season, from 452 small-scale rice farming households in the Giridih and Purulia districts of Eastern India.

The estimations of technical efficiency utilize stochastic frontier production function with a sub-model of inefficiency effects at both aggregated farm level and disaggregated plot level where traditional varieties (TVs) and high-yielding varieties (HYVs) are differentiated. The output growth decomposition analysis identifies the main contributor to the total rice production growth.

The results indicate that the sampled farms are operated at moderate levels of technical efficiency. The production of HYV rice is associated with higher technical efficiency compared to TV rice. Farming experience, education attainment, landholding size, the share of non-agricultural income and the share of land in the lower terraces account for the differences in technical inefficiencies across the sampled farms. The decomposition analysis suggests that as technical efficiency decreased, technical change is the main source of production growth during the survey period.

The small sample size applied in the analysis will result in an insufficient representativeness of the study area.

This paper fills the literature gap as estimations of technical efficiency that account for subtle differences in adopted rice varieties are still rare in India.