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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.

This paper examines the determinants of participation in non-farm activities in rural Sudan. It also investigates whether the factors that influence participation in non-farm activities vary across agriculture sub-sectors.

The study adopts the multinomial logit and probit methods on labour supply participation theory using the Sudanese National Baseline Household Survey (2009). The analysis was applied across job types and agriculture sub-sectors.

The results indicated that educational level, means of transportation, lack of land and access to formal agricultural credit are the most significant factors that push rural farmers to participate in non-farm activities. Surprisingly, the effect of household income was positive and significant, implying that individuals from rich households have higher opportunity to engage in non-farm activities compared to their poor counterparts. The results also revealed some variations in the factors that influence participation in non-farm activities according to the agricultural sub-sectors.

The originality of this article lies in investigating the factors that influence participation in non-farm activities across irrigated and rainfed systems. To the best of our knowledge, this is the first study identifying the determinants of participation in non-farm activities across agriculture sub-sectors. Therefore, the paper fills an important gap in the literature and helps in designing appropriate pro-poor policies to allocate infrastructures across irrigated and rainfed areas in Sudan.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-02-2022-0092.

Non-farm employment has transitioned from a residual to a dominant livelihood option in rural India. Despite the sector’s diverse welfare implications, it is still a male-dominant sector with limited scope for female’s participation. Several socio-economic and cultural factors are responsible for such disparities in occupational choices. The purpose of this study is to examine this gender dimension of occupational diversification for rural India and focuses on the role of education, caste and land ownership in explaining employment probabilities across gender.

This study uses secondary data on employment and unemployment from the National Sample Survey Office (NSSO) for rural India and pooled the data for three periods that include 61st (2004–2005), 66th (2009–2010) and 68th (2011–2012) round comprising a total of 235,722 individuals. The study applies a multinomial logit regression model.

The results show that education facilitates females to diversify to sectors like manufacturing, mining and construction while educated males are more likely to diversify to services. However, the likelihood of diversification by educated females is low for those belonging to land-owning households. On the contrary, land ownership facilitates educated males to join sectors like mining and quarrying and services. It is also found that females belonging to Scheduled Tribe/Scheduled Caste (ST/SC) households diversify to low return activities like manufacturing and construction while males are more likely to join services.

This study has contributed to the literature on employment diversification by considering not only the gender aspect of diversification but also examining how education, caste and land would explain occupational choices between males and females. It is evident from the findings that education can be a liberating factor for females to participate actively in sectors outside agriculture but the status quo associated with land ownership in rural India declines their possibility of economic participation compared to males. Even educated females are confined to manufacturing and construction in the absence of proper non-farm employment opportunities for them.

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.

This paper aims to study the different factors that determine the performance or success of small-scale, non-farm enterprises in Lesotho. Evidence shows that small-scale enterprises in developing countries are confronted with different challenges and problems that make them less viable. As a result, the capacity of small-scale, non-farm enterprises in employment creation, income generation and providing the means of livelihood to the poor people is not significant. In Lesotho, many people who are retrenched from the South African mines are absorbed in small-scale, non-farm enterprises to make a living. However, small-scale enterprises are faced with different challenges. The research findings suggest that factors leading to success/performance of rural non-farm enterprises in Lesotho include gender of the entrepreneur, age of the entrepreneur, ability of the entrepreneur to establish wider social networks, large population/market, availability of communication networks and infrastructure, participation of enterprises in the international market and costs of doing business and competition. In this regard, the paper makes policy recommendations that can be used to improve performance/success of small-scale, non-farm enterprises.

This research uses both qualitative and quantitative research methods to analyse data.

The main finding of the research is that foreign competition hinders the success of non-farm enterprises in Lesotho. The research findings further reveal that enterprises owned by women make the highest turnover compared to those owned by men.

This study brings in different factors that can ensure or hinder success/performance of small-scale, rural non-enterprises.

The research paper is of value in that it is the first study in Lesotho that considers different factors that determine business success in relation to employment creation, turnover and profitability.

The farm sector is crucial for rural poverty alleviation, alongside the non-farm sector, which contributes to mitigating risks associated with crop failures. This paper investigates the effects of public policies on productive employment within both the farm and non-farm sectors in sub-Saharan Africa.

A meta-analysis is conducted exclusively on the results of the Partnership for Economic Policy (PEP)-funded studies under the Policy Analysis on Growth and Employment (PAGE II) initiative. Selected studies focused on the impact of public policies on productive employment in rural farm and non-farm sectors, encompassing a total of nine sub-Saharan Africa countries in: Benin, Burkina Faso, Cote d'Ivoire, Democratic Republic of Congo, Ghana, Lesotho, Nigeria, Senegal and South Africa.

The results indicate that public investments in rural areas and public policies that facilitate access to productive resources are likely to enhance productive employment. The overall effect size is positive and significant, ranging from 2% to 10% increases in productive employment. Sources of variation include the sector of activity and the policy instrument. In addition, the policy effects are gender-sensitive and seem more consistent in the non-farm sector.

Although the selected working papers addressed several aspects of productive employment, other aspects warrant further investigation. Policies involving restrictions or regulations have received little attention in the impact analysis. Researches to fill this gap would be important. Another suggestion for further research is the analysis of the relative importance of non-farm employment in rural areas in developing countries. It is always assumed that rural households depend heavily on agriculture for their subsistence.

The contribution of the paper lies in the comparative analysis of numerous public policies implemented in nine distinct countries. By consolidating data from fourteen 14 different experiences into a single study, the paper offers valuable insights on factors that determine policy effectiveness and contribute to understanding what worked for whom and why.

The purpose of this paper is to identify the determinants of China’s rural households’ non-farm participation. The authors pay special attention to the effect of potential income differential on this participation.

The data used in this study come from a household survey conducted in Hubei Province. The authors estimate participation equation and income equation, respectively, then introduce potential income differential simulated in participation equation to examine its effect on non-farm participation.

Potential income differential serves as the major pull factor that favors non-farm participation. Education, proximity to a city and specialized commercial farming are crucial in helping rural households to participate in non-farm production; while the land shortage or the labor surplus act as the push factor in non-farm participation. Better quality of land reduces the household’s propensity to participate in non-farm activities. Moreover, the income gap between households that participate in non-farm activities and pure farmers is mainly determined by the differences in household characteristics.

The authors use the method of “switching regression and structural probit” to examine the impact of potential income differential on non-farm participation, and simulate the response of the participation probability to the change of potential income differential. The authors also analyze the sources of income gap between non-farm and farm households using Oaxaca decomposition.

This study aims at exploring the choices of livelihood strategies amongst the rural youth and how these choices relate to food security and income poverty.

The study used data from the 2016/17 wave of Integrated Household Living Condition Survey, with a sample size of 1,050 rural youths. Statistical and econometrics methods including descriptive statistics and the Multinomial Endogenous Treatment Effect (METE) model were used to analyse the data.

Livelihood choices were grouped into five categories, namely agriculture, non-farm wage employment, agriculture plus non-farm wage, agriculture plus self-employment and agriculture plus non-farm wage plus self-employment. The estimates from METE indicate that the youths' choice of non-farm wage, agriculture plus non-farm wage and agriculture plus self-employment contributes substantially to household food security improvement and poverty reduction. These findings show that agriculture is necessary but not a sufficient livelihood strategy to sustain the rural youth's contribution to youth's household welfare. The rural youth will pursue agriculture as a reliable source of livelihood not only for food self-sufficiency, but also for ensuring adequate return to labour.

This paper extends single choice analysis to multiple choices impact analysis, which has the advantage of accounting for selection bias due to both observed and unobserved heterogeneity. This paper assesses the differential impact of the choice of single as well as multiple livelihood strategies.

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

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.