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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 paper tracks 77 households in two villages in Northeastern Thailand over a period of 12 years between 1982 and 1994. The survey data show that the “original” poor of 1982 have improved their position both absolutely and relatively, and the so‐styled “emergent” poor of 1994 comprise, in large part, a different set of households. The paper highlights the extent to which poor households are not condemned to poverty. This is explained largely in terms of the declining importance of agriculture in determining patterns of well‐being and the concomitant increase in the role of non‐farm activities.

The purpose of this paper is to decompose income inequality across various household income components and to estimate the marginal effects of changes in each of the income components on overall income inequality in Ghana.

Data were collected from the fifth and sixth rounds of the Ghana Living Standards Surveys. Gini coefficient was estimated and decomposed across structured income components. The marginal effects were obtained by computing the partial derivatives of the Gini coefficient with respect to a percentage change in a particular income source.

The results suggest that, in general, income inequality has increased marginally over the years (Gini coefficient of 0.66 in 2013 and 0.62 in 2006). Inequality was, however, higher in urban areas than in rural areas in 2013 with the reverse observed in 2006. The income component decomposition analysis suggests that wage employment income dominated household income in both rural and urban areas, even though the magnitude was higher in urban areas. Farm income was only dominant in rural communities in 2006. Self-employment and remittance income had consistent inequality reducing effects on total household income distribution.

The study goes beyond inequality studies in Ghana to estimate the marginal effect of income components on inequality. Such decomposition will allow for effective policy targeting in a resource-constrained developing country like Ghana.

The purpose of this paper is to empirically investigate the effects of farm income variability, farm size, and other socio‐demographic characteristics on the precautionary saving behavior of farm households and to estimate the influences of the identified factors on the amount of savings by self‐employed farm households.

Using 2003 Agricultural Resource Management Survey (ARMS) data and a Double‐Hurdle procedure, the likelihood and the amount of savings by farm households are estimated.

An important empirical finding of this study is that variability in income plays an important role in explaining precautionary savings of US farm households. Findings suggest that farm households facing higher income risk save more and accumulate more wealth. It is indicated that several farm, operator, household, and demographic attributes contribute to the precautionary savings of farm households. In particular, results show that educational attainment by operator and spouses have positive impact on the decision to save. In addition, results from this study show that farms that specialize in cash grain are likely to have precautionary savings.

Farm households today are virtually indistinguishable from non‐farm households in their levels of income and diversity of employment. As a result, government policies that influence general economic conditions have much more profound impacts on farm families. Federal support of farm income warrants continued scrutiny. This paper shows that greater income uncertainty increases savings and wealth of farm households. Therefore, farm policies that reduce income variability or uncertainty will have an impact on precautionary savings and wealth of farm households.

Several studies have investigated savings of households; however, these studies are limited to entire US population, older Americans, or non‐self‐employed individuals in the USA. Little is known about the savings behavior of self‐employed US farm households owing to a lack of household survey data and because of the complex relationship between the farm household and farm business in terms of resource allocation (both capital and labor).

This paper aims to understand the perception of smallholder farmers on climate change, identify major livestock related climate change adaptation (CCA) strategies and their determinants in selected neighboring districts of Tigray and Amhara regions of Ethiopia.

A total of 416 household heads were involved in a questionnaire survey using a multistage sampling approach. To understand the socio-economic factors that influence farmers’ perception on climate change (CC) and/or variability, a binary logit model was used. Multinomial logit model was used to identify the determinants of smallholder farmers’ choices of adaptation strategies.

Milk reduction, weight loss, feed shortage and frequent animal disease outbreak were indicated as major impacts of CC on livestock production. About 86.2% of the farmers’ exercise CCA measures where livestock health care and management (25%), followed by livelihood diversification (21.5%) and shifting and diversification of livestock species (20.9%) were the top three adaptation measures implemented. Education, knowledge on CCA strategies, access to veterinary service and extension, market access, annual income, non-farm income, total livestock unit, sex of household head and household size were the major determinant factors to farmers’ choice of CCA.

Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to enhance the awareness of farmers on climate change and implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods.

Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods.

This research is focused on smallholder crop-livestock farmers, livestock-based CCASs and presents the determinant factors to their choice of adaptation.

The research attempts to estimate how the use of WeChat, the most popular mobile social networking application in contemporary China, affects rural household income.

Our materials are 4,552 rural samples from the Chinese General Social Survey, and a treatment effect (TE) model is employed to address the endogeneity of WeChat usage.

The results prove that WeChat usage has a statistically significant and positive correlation with rural household income. This conclusion remains robust after using alternative variables to replace the explanatory and dependent variables. Our research provides two channels through which WeChat usage boosts rural household income, namely, it can promote their off-farm employment and participation in investment activities.

Theoretically, the study provides several micro-evidences for understanding the impact of mobile social networks on rural household welfare. Further, our findings may shed light on the importance of digital technology applications in rural poverty alleviation for developing countries.

The purpose of this paper is to investigate the impact of the Integrated Household Extension Program (IHEP) on participant households’ welfare and see the policy effectiveness. The government of Ethiopia – in contrast to the majority of countries in Sub-Saharan Africa – invests heavily in agricultural extension but very little empirical evidence is available on the impact of the services on farm performance and household welfare that could justify these investments. The IHEP program is a particularly interesting case as it is an example on how agricultural extension systems in developing countries changed during the past two decades, from centralized top-down technology-transfer-orientated approaches to decentralized, participatory and more integrated approaches.

The authors use household survey data from 730 farm households (361 treated and 369 control) in the Tigray region of Ethiopia and propensity score matching methods to estimate the impact.

The authors find that the extension program had a large positive impact on household welfare – increasing income with about 10 percent – and on investment but have not impacted on income diversification. In addition to the main variable of interest (extension), household characteristics, such as household head age, gender, adult labor availability in the household, asset holdings and social capital variables were found to have an influence on income, investment and income diversification.

The paper has tried to assess the impact of a program which claiming substantial public money using primary data. Hence, the findings will serve to inform policy makers as how the program is running.

The purpose of this paper is to examine the dynamics of food insufficiency and its determinants among farming households in Southwestern Nigeria.

A combination of cluster and systematic random sampling was used to select 40 households in each local government area of the selected two states. This gives a total of 160 households per state and 320 households in all for the first data collection. Visiting the same households during the second data collection, only 150 households’ data were useful for analysis. Panel primary data were adopted and they were collected in two periods of late and early rain, respectively, over a period of nine months. Primary data were collected with the aid of a well-structured questionnaire, administered on farming households in the area of study. The needed information was collected through the use of interview schedules/questionnaires.

The transition of food insufficiency households to food sufficiency indicated a differential of 4.25 percent, and the transition of food sufficiency to food insufficiency a differential of 9.33 percent. During the agricultural harvest season more households moved to food sufficiency status (16 percent), while off season insufficiency status was 25.3 percent. The probability of households escaping food insufficiency is 0.25, and the probability of households entering food insufficiency is 0.38. The study provides evidence of transient and high incidence of food insufficiency.

Past studies of this nature only captured the food insufficiency status of households using a snapshot study. Hence, this study brought in innovation by examining the dynamics of food sufficiency/insufficiency in two periods. Therefore the question this study asks is: can a farm-household be food sufficient over a particular period of time and food insufficient in other time?

This paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.

Data were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.

The result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.

The study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.

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.