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This paper aims to analyse the main variables and causal relationships in the system structure of the diversification of non-agricultural activities on agricultural holdings using system dynamics (SD) modelling. The SD model aims to simulate depictions of the behaviour of the real system while testing the effects of alternative decisions over time.

An SD methodology was chosen to model diversification in farm tourism.

A system approach increases the authors’ understanding of the transition of agricultural holdings to farm tourism. The results indicate that the transition to farm tourism depends on the level of tourism development in a certain area. The system is influenced by subsidies allocated by authorities to expand primary agricultural activities. The model describes a situation in which the tourism and agricultural industries have been affected by the COVID-19 pandemic.

The research is limited by the small set of available data due to the limited number of farms in Slovenia. One major problem is the difference in statistical data on the same activity collected from different institutions in Slovenia.

The paper includes implications for understanding the transition process to farm tourism, allowing policymakers to experiment with subsidies and promotion to explore the efficacy and efficiency of proposed policies.

This study provides a structured, systemic view of the diversification of non-agricultural activities on agricultural holdings, where the simulation results are a reliable reflection of the behaviour of the actual system being modelled.

The purpose of this paper is to explore enterprise diversification amongst wetland farmers in Zambia as a way of reducing poverty and improving sustainability. This paper identifies ways in which such entrepreneurial activities can be supported and applied more widely.

A qualitative study of Zambian farmers, based on a series of workshops and interviews held in Zambia with farmers and farm business advisers.

Despite adopting new technologies most farmers are restricted to the local market where their increased production holds down prices. However, a very small number of farmers are able to progress to production and marketing for markets in major urban centres hundreds of kilometres away, and considerably more are able to use the capital accumulated from wetland farming to diversify their household enterprises to reduce poverty and improve the sustainability and resilience of their livelihoods.

No work has previously been undertaken in diversification strategies of small-scale farmers in Zambia.

This chapter uses the Ghana Living Standards Survey (GLSS) 7 datasets to investigate and examine the effect of rural non-farm diversification and its implications on agricultural (tree-crop) farming sector inequalities and sustainable development in Ghana. Applying a Gini-decomposition method and/or technique within a quantitative approach, the study outcome indicates the average non-farm income thus, increased income inequality among tree-crop smallholder rural livelihoods and households. Income diversification by farm households has gained the attention of governments, policy makers, and researchers because of its commonness and contribution to socio-economic development especially in developing countries. Aggregationally, non-farm self-employment reduced income inequality, and non-farm wage employment income led to an increase in income inequality. Increased rate of educational enrollment and achievement is the most important variable of non-farm income inequality. Government effort at expanding tree-crop acreages and improve yields have to degree achieved its intended policy implementation, increased rate of educational achievement could undermine the socio-economic policy cohesion and sustainable development of rural livelihood, communities, and national economy. Tree crop policies should take account of the spatial distribution of tree-crop commodity production and in particular, the implication and effect of rural non-farm diversification on agricultural sector inequalities.

The purpose of this paper is to identify the factors associated with the adoption of agro-processing methods and to estimate their impact on farm income and farm diversification.

Using a large-scale sample of 12,122 special crop farm households drawn from the 2015 Agricultural Census Survey in Taiwan, the semiparametric multivalued treatment effect model was estimated.

The authors found that agro-processing farm households obtain higher farm incomes than non-agro-processing farm households. Among the agro-processing methods, self-processing generates higher farm income than outsourced-processing. Moreover, farm households that adopt either agro-processing method are more likely to diversify into agritourism and other agribusinesses than non-agro-processing farms.

The authors could only access data on farm income and not on agro-processing costs. Future studies may address the impact of agro-processing on farm profitability if relevant data are available.

Very few studies have examined the relationship between agro-processing, farm income and farm diversification. To the best of the authors’ knowledge, this is one of the first papers to examine the impact of different agro-processing practices on farm income and farm diversification.

Doubling farming households’ income through occupational diversification to the non-farm sector has been advocated to be of paramount importance in an agrarian economy such as India. The purpose of this paper is to analyse the effects of non-farm activities on rural household incomes in four different Indian states by using a propensity score matching technique and developing an endogenous switching model.

The research is based on secondary data taken from four quinquennial rounds of employment and unemployment surveys conducted by the National Sample Survey Organization.

The matching results indicate a maximum monthly rise in per capita income of Rs. 60 in Gujarat and a minimum increase of Rs. 18 in Rajasthan among rural households employed in the non-farm sector as compared to the farm sector. The findings confirm that rural non-farm structural diversification cannot be viewed as a blueprint for increasing rural household incomes in different states. Further, it suggests the need to segmenting the different states on the basis of agricultural development for increasing rural incomes.

The study argues that Indian states with a strongly developed farm sector i.e. Gujarat and Punjab are not ideally suited to undergo structural changes in their economic pursuit. The estimates suggest that the transition of rural households from farm to non-farm-sector activities is a very weak strategy in agriculturally developed states of Gujarat and Punjab, whereas non-farm diversification becomes a pivotal strategy for increasing rural household incomes in less agriculturally developed states such as Rajasthan and Uttar Pradesh. A contrasting point that arises from these evidence is that although diversification to the non-farm sector leads to higher income, but the resultant figures are very scanty.

The present study contributes to the existing literature by providing evidence and policy implications on rural non-farm diversification in India and its impact on the rural household income. The study can help the policymakers in framing policies aiming at increasing the income of the rural household through the structural transition of the rural economy.

The authors investigate cocoa farmers' willingness and motivation to participate in agritourism entrepreneurship in Ghana.

Primary data were obtained from 583 cocoa farmers. Contingent valuation method, ordered probit and truncated regressions were employed.

Cocoa farmers' willingness to participate in agritourism was high. The minimum fee farmers were willing to charge per tourist per day ranged from US$0.870 to US$6.957. Agritourism products farmers were willing to offer to tourists are interaction with rural folks, indigenous cuisine, quality locally stored drinking water, indigenous primary healthcare and on-site restrooms. Cocoa farmers' motivations to participate in agritourism are income generation, alternative livelihood strategy and education. Education, being a native, farm size, motorable roads to farm, and distance to farm influence minimum fee farmers were willing to accept to participate in agritourism.

Agritourism could be considered in rural and tourism development policies of developing countries.

The authors investigate cocoa farmers' participation in agritourism, motivations and determinants of willingness to participate.

As rural nonfarm activities grow in developing countries, less attention is being paid to the opportunities they may provide for women. The purpose of this study is to examine the gender-differentiated impact of nonfarm diversification strategies in rural Senegal.

This study uses data collected from the Senegalese poverty monitoring survey and employs an instrumental variable (IV) approach and a multinomial endogenous treatment model to investigate the extent to which diversification strategies lead to improved outcomes for rural women and their households.

While nonfarm diversification is a male-dominated livelihood strategy, rural women make the most of it, regardless of whether they diversify into low- or high-return nonfarm activities. At the individual level, diversification improves rural women’s well-being through large income-increasing effects and higher empowerment but has no effect on rural men’s well-being. At the household level, the authors find that, when only women diversify, households have lower per capita income but are less likely to be food insecure than when only men or both genders diversify.

This study is based on cross-sectional data, making it impossible to examine the dynamic effects of nonfarm diversification strategies on well-being outcomes.

This study contributes to the current literature on rural livelihood diversification. While much attention has been paid to the feminization of agriculture, remarkably little is known about the expanding role of rural women in the nonfarm sector.

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.

By examining a case study in Tyrol, Austria, the paper aims to demonstrate the role of farm diversification and the influence of the peasants’ habitus on social-ecological resilience.

Drawing on a field study conducted in two remote villages of the Ötztal valley, Austrian Alps, this study provides insights into the interplay of tourism and farming and its impact on farm resilience. Qualitative narrative interviews, the so-called farm biographies, served to investigate these issues. Interpretations of data are based on qualitative content analysis.

The results highlight that farming and tourism are highly enmeshed in the case study area and that the additional income creates room for manoeuvre for the farms to activate their adaptive capability. At the same time, peasant values guide the farming activities. The farms in this study demonstrate a strong farm resilience that is enabled by farm diversification and rooted in their peasant habitus. This positively affects the social-ecological resilience.

In contrast to other studies, which have mainly applied the concepts of social or community resilience to investigate the resilience and vulnerability of rural areas, this study highlights the resilience of farms in mountain areas.

This study aims to analyze the factors that determine non-farm enterprise diversification among farm households in Ethiopia. It extends the analysis by examining enterprises and using pooled data, which has the capacity to generate more accurate outcomes. The existing empirical evidence has focused on all non-farm activities, based on single period, single region data. Much of the existing empirical evidence is based on small-scale and location-specific sample surveys that do not demonstrate the characteristics of aggregate populations.

The empirical analysis was conducted using a quantitative method. To cater to the censoring nature of participating in non-farm enterprise activities, a panel data double-hurdle model is used to a representative sample of 3,594 Ethiopian rural households.

The study finds that the age of household head, household size, distance to the market, social capital and access to credit, are determinants for owning one or more non-farm enterprises. The level of income from these enterprises is then determined by the age and education level of the household head, household size, agricultural equipment, distance to markets and access to credit.

This study brings to light factors that influence households to participate in non-farm enterprises and the determining factors for the income level.

Non-farm activities are an important source of household income and a driver of development. This paper provides empirical evidence on factors that determine enterprise ownership using panel data.