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Risk attitude is an elementary attribute of entrepreneurial behaviour. Determinants of risk-taking propensity have been widely investigated in the group of entrepreneurs and non-entrepreneurs so far. There is a lack of evidence on determinants of risk-taking propensity in the farming business, which is considered as risky business because of the ongoing climate change and epidemic outbreaks. Alternatively, the risk of lower European Union budget raised the question, how to implement publicly supported financial instruments for micro and small farmers which have lower credit rating. The purpose of this study is to find socio-demographic determinants of the risk-taking propensity of the Czech micro farms, controlling for the type of farming.

The survey of 747 micro farmers was processed through ordinal logistic regression. The study is based on the subjective self-assessment of the risk-taking behaviour which is frequently used to measure risk-taking attitude. The results are representative from the type of farming point of view.

The model provided clear evidence that age, household size, living with the partner/wife/husband and level of education have a significant relationship with risk-taking propensity. The most risk-tolerant farmers are young with less formal education and living in small households. The risk-taking propensity varies by the type of farming. Specialized crop farms have significantly higher risk-taking propensity than farms with a substantial share of livestock production. Alternatively, gender, feeling about household income and religion are not significantly related to the risk-taking propensity of the Czech micro farms.

The main limitation of the study is the number of explanatory variables and the use of self-assessment of risk-taking attitude. The risk attitude can be explained by other variables which require in-depth qualitative research, such as past risk experience, the structure of decision problems, market orientation and operation under subsistence conditions.

The significant determinants of risk-taking attitude of micro farmers are important for banks, the Czech Support and Guarantee Fund for Farmers and Forestry and for policymakers who design the rules for post-2020 common agricultural policy. The study is original and valuable for the Central and Eastern European countries’ implementation of financial instruments as new rules for investment support are being prepared and research on the risk-taking attitude of the most vulnerable segment of farmers has not been conducted.

The originality of this study is from the perspective of agricultural sector as well as from the micro farms point of view. The results have commercial and political implications. Younger farmers, singles and lower-educated farmers have significantly higher risk-taking propensity and can be potentially risky clients for banks. Such farmers represent the financial gap in the credit market, and their viable development projects could be subject for implementation of financial instruments co-financed by the European Agricultural Fund for Rural Development in the forthcoming programming period past 2020.

This paper aims to analyse a simultaneous role of micro-credit in intensive farming to improve rural prosperity and to determine factors affecting farmers to access micro-credit and to adopt technologies.

This paper uses a concept of technological change as the underlying theory. The analysis is conducted using structural equation modelling based on data compiled from a survey that interviewed 220 of farm-households. Samples of the study were randomly selected from chili farming community in three regions of Java in 2013-2014.

The results show that micro-credit provides positive direct and indirect impacts on rural prosperity. The indirect effect of micro-credit was due to a mediation of technology adoption. Farmers’ personalities and agribusiness environment determined farmers’ decision to access micro-credit and to adopt the technology.

Policymakers should introduce more advanced technology and provide credit facilities at the same time to ensure technology adoption and welfare improvement of the community.

Using structural equation modelling enables analysis of simultaneous regression models. Along with technology here, micro-credit played roles as catalyst and reagent in improving rural livelihood.

The recent fluctuations in farm income remind us of the boom-bust nature of the agricultural sector. To better understand these fluctuations in farm income, the purpose of this paper is to examine the relationship between farm income and influential factors from 1964 to 2010 allowing for structural breaks in the data.

The authors estimate error-correction models for an overarching model and several sub-models at different scales based on their relationship with farm income: micro, meso, and macro. The authors then provide a series of impulse response functions (IRFs) that combine short- and long-run impacts in a rigorous framework indicating the response of farm income to shocks from any of the explanatory variables.

Results indicate that prices paid (PP) and received by farmers, technological change, interest and exchange rates (ERs), gross domestic product (GDP) and land prices all influence farm income. Results using IRFs show how increases in farm income arise from shocks to prices received and GDP; while PP, interest rates, and land prices have a negative impact on farm income. Technological progress and ERs switch from having a negative short-run impact, to a positive long-run impact.

This paper takes a fresh look at the single, overarching model for farm income determinants. The authors break this model into three separate levels, with results indicating that these sub-groups perform better than the one overarching model of all variables.

The persistence of different farm types in Italian agriculture shows that productivism is not the only possible development path that farms can follow, and that farms can successfully adopt strategies based on diversification rather than standardization of production.The aim of this work is to provide evidence about the diffusion of different diversification and differentiation strategies in Italian agriculture, and to compare the characteristics associated with the targeted groups of farms, as well as their structural and economic evolution over time.The analysis is performed on a panel of data built on the basis of information collected by the Italian FADN over the 2003–2009 period. For the purpose of the analysis we divided the population of Italian commercial farms into a fivefold innovative farm typology based on the extent of diversification and differentiation strategies adopted by farms.The findings show that conventional farms are still by far the largest category within the population of Italian commercial farms, while only 13% of total commercial farms is classified as differentiated and/or diversified. Conventional farms are also the best off in terms of economic results. As for the differentiated and/or diversified farms, their structures are still changing, their profitability is improving and they follow a more sustained income growth path than conventional ones.The analysis highlights that diversification and differentiation are not necessarily a viable solution to the low-income problem faced by many farms. Future research is needed to better understand the relationship between diversification strategies and policies.

The purpose of this paper is to investigate the relationships between business risks and credit choices of 400 farm households surveyed in Shaanxi province in October 2007 in the Yangling district. More specifically, this paper investigates whether or not rural farm households in China balance business risks from agricultural production with financial risk from the use of debt.

The data were collected through a survey of 400 farm households in Shaanxi province conducted in October 2007. Four separate regressions are run using a credit measure as the dependent variable and measures of profitability, risk, risk aversion, and demography, and debt source (formal versus informal lending) as independent variables.

The model shows evidence of risk balancing. That is, there is strong evidence that Chinese farmers reduce credit use and financial risk, as business risks increase.

The results suggest that Chinese policy makers could encourage the use of finacial leverage and prudent debt use by offering risk reducing programs such as crop insurance, weather insurance, or price insurance.

This paper uses a unique survey form to collect production risk data as well as gather information on credit use and sources. Data were collected so that risk measures could easily be computed using a triangular distribution. Furthermore, this is believed to be the first empirical validation of the risk balancing hypothesis.

The aim of this paper is to investigate technical, scale, allocative and economic efficiencies by data envelopment analysis (DEA) and stochastic frontier methods to provide a decision‐making tool and managerial implications in the measurement of farm business performance and efficiency.

Technical, scale, allocative and economic efficiencies are analyzed with the Farm Accountancy Data Network (FADN) sample for 13 farm business branches in Slovenia in the period 1994‐2003. DEA models are used with an output‐orientation, three outputs and four inputs. The non‐parametric DEA estimations are compared with a parametric stochastic frontier approach. The cluster analysis is used to identify three different farm business groups according to their performance.

The average technical, scale, allocative and economic efficiencies for the whole FADN sample over the analyzed period are relatively high (around or over 0.90), suggesting that, although the FADN sample contains very different farms, the latter have similar management practices, and are similarly able to make the best use of the existing technology. Five farm branches (crop, dairy, livestock using own feed, fruit, and forestry) are fully efficient with respect to all four analyzed efficiency measures, suggesting that these specializations have the best chance to compete on the European and world markets.

Studies of technical, scale, allocative and economic efficiencies are rare for transitional farm businesses, especially in Slovenia. The research contributes to the crucial issue of whether small family farm businesses might be able to compete on international markets, as Slovenian agriculture is characterized by such structures.

The purpose of this paper is to provide fresh insights into rural artisanal activities in a developing world context. It highlights key determinants of the decision to engage in an artisanal business and the challenges that impact upon the growth of these activities.

The study adopts a mix-method research approach to explore a rural setting where most respondents (81 per cent) combine farm and non-farm livelihood activities. Quantitatively, a multi-nominal regression is used to examine the determinants of diversified artisanal livelihoods. It modelled the differences between farming livelihoods that have not diversified, compared to those also involved in the artisanal activity or wage employment and the intensity of participation.

The findings show that nearly half of artisanal businesses (45.4 per cent) comprise only the owners and no employee, while 54.6 per cent employ one to three workers. Also, some artisanal ventures were more gender-specific than the gender-neutral activities. Other observations were in age (most artisans were under the age of 46 years) and vocational training (most were self-trained followed by a third receiving training only in specific areas such as technical works, building and construction and general trading apprenticeships).

The study is based on a relatively small sample size of 306 business owners, which makes it difficult to generalise despite the persuasiveness of the observations made.

First, the use of econometric methods enabled the development of valid data sets (and various descriptive statistical and logit regression) to analyse determinants of the decision to engage in artisanal work, and the intensity of participation. Second, the ambiguity in categorising artisanal activities is unravelled. The study characterises the local artisanal sector and examines the intensity of participation. Without these, targeted support would remain elusive for practical and policy interventions.

Artisanal activities constitute a high proportion of small businesses in the study area – with more than half (54.2 per cent) of respondents being classified as artisans, yet it is an overlooked area of entrepreneurship. Highlighted here are both types of activities and challenges regarding better conceptualising the understanding of artisans and regarding this mostly unarticulated base of practice.

The purpose of this paper is to examine the poultry farmer's willingness to pay for agricultural tax in the Dormaa Municipality of Ghana. Besides, the study analysed the mean agricultural tax and constraints impeding the payment of the agricultural tax.

One hundred (100) poultry farmers were selected for the study. The logit and Kendall’s coefficient of concordance were used to examine the factors that influence payment of agricultural tax and the constraints impeding the payment of the agricultural tax, respectively.

Instructively, 83% of the respondents were interested in the regressive taxation model relative to 12 and 5% who were interested in the proportional and progressive taxation model, respectively. The empirical results of the logit model revealed that tax awareness, probability of being audited and public service provision of roads influenced the poultry farmer's decision to pay for the agricultural tax. Perception of corruption and high tax rates were the primary constraints impeding the payment of the agricultural tax. The results further revealed that the farmers are willing to pay an average maximum amount of Ghc 152.00 (US 26 dollars) agricultural tax per month.

Despite the increasing relevance of agricultural tax, studies on poultry farmer's willingness to pay agricultural tax have been scarce in West Africa, particularly, Ghana. As a consequence, this paper broadens the frontiers of the existing literature on agricultural tax as well as the constraints impeding the poultry farmers to pay agricultural tax.

The purpose of the study is to study diversification among Australian olive growers in various regions, as well as perceived opportunities and challenges of olive growing from the perspective of micro olive growers. In doing so, the study considers and adopts the theory of planned behaviour (TPB).

Semi-structured interviews with 24 micro olive growers operating in the Australian state of New South Wales were conducted.

The findings partly identify alignment with the TPB. Essentially, attitude or growers’ favourable assessment to diversify appears to determine growers’ intention to implement diversification strategies, including adding value to olive production, and marketing it through tourism. In contrast, subjective norm, which refers to the impact of social influence or pressures, in the case of the present study to growing olives or to diversifying into olive oil production, was to a great extent disconfirmed.

Very limited research has investigated the motivations of micro olive growers, especially in the Southern Hemisphere. In particular, the use of the TPB has been adopted to a very limited extent in the context of micro-farm diversification, including among emerging industries such as olive growing in Australia. The study addresses these current research gaps.

Previous research studying larger market-driving businesses argues that successful entrepreneurs intuitively show market-driving capabilities. Even though market-driving is acknowledged as entrepreneurial action and practice, this phenomenon has rarely been studied from a micro-business perspective. Representing more than 40% of all food businesses in Norway, micro-businesses contribute significantly to both value creation and variety in the marketplace, and this study addresses the existing research gap by examining market-driving practices in food micro-businesses in a competitive Norwegian grocery market.

The study employs a multiple-case-study approach with four pioneering food micro-businesses within the Norwegian local food sector. Data collected during in-depth interviews with the individual founder-managers provide insight into understanding market-driving practices through the lens of entrepreneurial orientation.

The findings suggest that food micro-businesses are disrupting the grocery market through their pioneering practices. A three-pillared framework for market-driving practices in food micro-businesses was developed: (1) taking the risk and following their passion, (2) innovativeness led by a passionate personal value proposition, and (3) proactively and perseveringly building a new category.

The study offers a novel attempt to explore and conceptualize market-driving practices in a micro-business context. The findings present a new framework for market-driving contextualized in the local food sector, representing an under-investigated area in micro-business and enterprise development.