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Rural farm and non-farm based entrepreneurial activities within Sub-Saharan Africa (SSA) play significant roles in job creation as well as food security for the majority of rural dwelling citizens (UNCTAD, 2018). This chapter examines the policies and strategies for supporting both farm and non-farm entrepreneurial activities within rural communities in SSA. In order to achieve this, the authors have completed a systematic literature review of both conceptual and empirical work on the role of policies and strategies for rural entrepreneurship in selected SSA, namely Ethiopia, Rwanda, Sierra Leone, and the United Republic of Tanzania (URT). This was completed alongside an assessment of the constraints and potential opportunities in order to stimulate linkages between rural entrepreneurship and structural economic transformation including the potential roles of both farm and non-farm based entrepreneurial activities. Key linkages between rural farm and non-farm based entrepreneurial activities are emphasised The chapter also highlights mechanisms through which governments and private sectors can work together for the maximisation of available opportunities and best practices that rural entrepreneurship can offer for job creation among rural communities in SSA.

Informal associations are typical features of farm and non-farm ventures especially within rural communities. Owing to the informality of these associations, members of the groups usually evolve strategies to cope with different kinds of economic and social shocks such as the COVID-19 pandemic or unexpected economic recessions. Accordingly, entrepreneurship and non-farm business development in rural areas require massive finance input, which this group largely lacks owing to agrarian activities which is the main source of revenue. Therefore, to inform rural development policies, this chapter draws on the interrelationships that exist between finance options (including formal, informal and social networks) and small business development. Using the World Bank Living Standards Measurement Survey – Integrated Surveys on Agriculture (LSMS-ISA), the analytics identifies informal financing and social networks as leading alternatives to formal financing option in rural businesses. Therefore, we suggest that the government institutions recognise and formalise informal finance systems. This will not only aid access to government interventions and programmes, but foster collaborations with existing formal institutions and investors for sustainable rural business financing.

This paper examines household and community characteristics that influence the entry of rural households into non-farm entrepreneurship and investigates the various factors that influence the market exit of non-farm enterprises (NFEs).

The authors use data from three rounds (2011/12, 2013/14 and 2015/16) of the World Bank’s Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). The authors employ panel logit and multilevel logit models to examine the probability of opening one or more enterprises and the enterprise exit rates.

Results indicate that the likelihood of starting a NFE is positively associated with primary education attainment, access to credit, experiencing idiosyncratic shocks and availability of formal financial institutions. Age, higher education attainment and rising farm input prices constrain entry into non-farm entrepreneurship. The enterprise exit rate is negatively associated with small-town residence, wealth, access to tar/gravel roads and cellphone communication.

Policymakers and administrators should strive to address the challenges that communities face in transportation, communication and financial services. Policies aimed at stabilizing prices and increasing access to mobile communication, primary education and road infrastructure could help expand the rural non-farm sector.

Previous studies primarily examined the determinants of participation in NFEs at a given time using cross-sectional data. The current study uses panel data to study the dynamics of NFE ownership by investigating households’ decisions to enter into or exit from the sector.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-09-2022-0611

Many countries have experienced, or are experiencing, urbanization. One such example is China. Even though the large‐scale rural‐urban migration seems chaotic on the surface, there are certain underlying forces driving individual decisions. The purpose of this paper is to provide some understanding of the relationship between human capital, migration, and occupational choices.

The paper starts with an overlapping generations model. Human capital plays various roles across different occupations – it does not affect the income of farmers, it affects income of workers linearly, and it has increasing returns in rural non‐farm business. The paper then derives income profiles for individuals with heterogeneous human capital, and finds the human capital thresholds of occupations. The paper calibrates the model to China, and simulates the model to answer two questions: how does an improving human capital distribution affect rural wages, quantities of migrants and return migrants? How does a fast‐growing urban wage rate affect rural wages, quantities of migrants and return migrants?

First, depending on the initial human capital level, policies aiming to enhance human capital may have different impacts on migration. If the initial human capital level is low, these policies will yield more permanent migrants; on the contrary, if the initial human capital is at a relatively high level, then a shrinking permanent migrant class with a growing entrepreneur class can be expected. This results in an inverted U‐shaped relation between the initial human capital level and the size of the permanent migrant class. Second, even though the non‐farm business of return migrants helps raise rural wages, the income inequality between rural and urban areas is not eliminated and migration is persistent. Third, borrowing constraints limit the size of rural non‐farm businesses and slow down the development of rural industry. The fourth and final point is that, migration costs discourage labor mobility and reduce the quantities of both permanent migrants and entrepreneurs.

This is an original paper on this subject.

There is a recent growing interest to find a lasting intervention to rural poverty (RP) in developing countries based on farmer entrepreneurship and innovation. The purpose of this paper, therefore, is to examine the relation between entrepreneurship and RP alleviation in two resource-constrained provinces of China. This paper assesses the influence of three capabilities of farm entrepreneurs – educational, economic and socio-cultural – on farmer entrepreneurship growth and how these, in turn, impact alleviation of RP.

Household survey data comprising 363 respondents were taken from four deprived communities in two provinces of China. The paper employed structural equation modeling (SEM), using AMOS 21.0 alongside SPSS 20.0 to test the relations between the constructs.

The results show that a statistically significant and positive relation exists between entrepreneurship and RP alleviation in China. The findings of the study further reveal that qualitative growth of entrepreneurship has a stronger positive influence on RP alleviation than on quantitative growth, and socio-cultural capabilities of respondents significantly and positively affect entrepreneurial growth of farmers, rather than education and economic capabilities.

The use of data from four communities in two provinces tends to limit the ability to generalize the findings of the study. Furthermore, the survey did not collect information on non-farm entrepreneurs, making it impossible to compare the findings from farm entrepreneurs with non-farm entrepreneurs.

The findings have practical implications for policy makers in rural China toward addressing targeted RP. This paper, therefore, suggests that entrepreneurship should be pursued vigorously among farmers in rural areas of China to help solve poverty. The paper also presents a useful lesson for various stakeholders in poverty alleviation programs in other developing countries.

This paper contributes to the academic literature on the entrepreneurship–RP alleviation nexus by combining the theory of capability and SEM in the analysis of an emerging economy such as China.

Some US counties are more likely to generate entrepreneurial opportunities than others. This paper aims to determine the linkages between US counties with disproportionately high shares of entrepreneurs and specific attributes of the entrepreneurial support system.

Non-farm proprietorship (NFP) has been used as a proxy for entrepreneurship and self-employment. NFP employment data were collected from the US Bureau of Economic Analysis by county. Data on all independent variables were obtained from the US Census and Bureau of Economic Analysis by county and subject to stepwise linear regression analysis.

Results revealed a strong positive relationship between the percent of NFP employment by county and the percent real estate, rental and leasing employment and construction employment as well as percent Hispanic and median age.

In attempting to encourage NFP employment, policymakers should be more aware of the key predictors that shape county-wide entrepreneurial ecosystems to enhance competitive advantage. Better understanding of the needs and experiences of different types of entrepreneurs and ecosystems can enhance overall quality of life and economic opportunity levels in a community.

The explicit spatial context of this paper has sometimes been overlooked in the traditional entrepreneurship literature, as such, this paper helps fill that gap. The findings provide a disaggregated analysis that can help better understand the key predictors that can drive the local choices of entrepreneurs and help local policymakers to build more competitive communities.

This study investigates how income from non-farm activities affects households' consumption in two land holders' groups: households with insecure land holding and households with secure land holding.

Following an instrumental variable approach, this study analyzes data collected on a nationwide sample of 1,800 households in rural Burkina Faso.

For insecure land holders' group, this study finds that income from non-farm activities has a positive effect on household consumption per capita. Moreover, the share of household food consumption is negatively associated with non-farm income in this group. For secure land holders' group, the results show that non-farm income has only a negative effect on the share of their food consumption.

The study highlights the livelihood sustaining role of non-farm activities for rural households. Unlike previous studies, the results show that non-farm income is particularly important for land tenure insecure households facing risk of losing agricultural income.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0423

Recent research into enterprise performance has focussed on the importance of firm proximity to total productivity. Using spatial correlation of firm performance as a proxy for knowledge transfers and diffusion, the purpose of this paper is to examine the evidence for these spatial effects in non-farm enterprise performance in Uganda, across space and time.

The author uses data from the geo-referenced Uganda National Panel Survey from 2010 to 2012, and employs explicit spatial techniques in the analysis of rural non-farm enterprise performance. Spatial autocorrelation of firm performance are used as proxies for knowledge transfers and information flows among enterprises across space and over time.

The study finds evidence of spatial spillover effects across space and time in Uganda. This implies that, as existing studies of developed countries have found, social infrastructure and firm proximity contribute significantly to the performance of rural economies, through information exchange and knowledge transfers.

Given the communal nature of rural households in the African setting, knowledge exchange and transfers among neighbouring firms should be encouraged as studies have found they have strong effects on business performance. Additionally, business “leaders” could also be useful in disseminating useful new technologies and applications to neighbouring enterprises in order to boost performance and productivity.

There should be better targeting of policy interventions to clusters of particularly needy enterprises.

To the best of the author’s knowledge, this is the first time that spatio-temporal effects of business performance have been explored. While spatial analyses of business performance have been carried out in developed countries, studies using explicit spatial techniques in the developing country setting have been conspicuously absent.

The purpose of this paper is to assess determinants of returns to male and female entrepreneurship in Ghana, Kenya and Uganda at selected quantiles along the distribution, as well as examine gender gaps in returns to entrepreneurship and factors contributing these gaps.

Employing a unique data set collected in the three countries on entrepreneurial motivations, constraints and performance, the authors apply unconditional quantile regression technique to assess the determinants of returns to entrepreneurship at various quantiles along the distribution. Additionally, the authors employ decomposition techniques to assess gender gaps in returns to entrepreneurship at various points along the distribution. The data contain extensive information on entrepreneur’s personal characteristics, including parental background and household composition and structure.

The study finds substantial differences in determinants of returns to male and female entrepreneurship along the distribution, with firm asset increasing returns to entrepreneurship. There is also the presence of gender gaps in returns to entrepreneurship at the lower-end of distribution, however, gaps disappear at the upper tail of the distribution, indicative of sticky floors in returns to entrepreneurship in Ghana, Kenya and Uganda. The authors also find gender bias against female entrepreneurship in the three countries, as unobserved characteristics largely responsible for the gender gaps in entrepreneurial returns.

This work has been undertaken by the authors and has not been carried out by any other person. The study will add to the existing literature on gender and returns to entrepreneurship.