Nigeria has experienced bouts of violent conflict in different regions since its independence leading to significant loss of life. In this article, we explore the average effect of exposure to violent conflict generally on labor supply in agriculture. Using a nationally representative panel dataset for Nigeria from 2010 to 2015, in combination with armed conflict data, we estimate the average effect of exposure to violent conflict on a household's farm labor supply. Our findings suggest that on average, exposure to violent conflict significantly reduces total family labor supply hours in agriculture. We also find that the decline in family labor supply is driven by a significant decline in the household head's total number of hours on the farm.

To improve the national average yield of potato in Ethiopia, which is very low as compared to its potential, factors that influence technical efficiency of potato production need to be determined. Therefore, the objective of this study was to investigate the determinants of technical efficiency using a cross-sectional data collected from 368 randomly selected potato producers in Northern Ethiopia using a multi-stage sampling technique. The study employed Cobb–Douglas stochastic frontier model to get farm-level technical efficiency scores. Tobit model and principal component analysis were used to determine the factors that influence technical efficiency of farm households. The results revealed that chemical fertiliser, seed potato, plot size and labour are statistically significant factors that affect potato yield. The average technical efficiency score was estimated to be 75%; and education, experience, off-farm income, household size, membership in a farmers’ association, use of irrigation water, extension contact, use of improved seed, access to product market and weak coordination of stakeholders’ were significant factors influencing technical efficiency. The findings of the study suggest that there is a need for government intervention to create strong market linkage between producers and buyers and to give appropriate training to agricultural extension agents.

Influence of land tenure and property rights (LTPRs) on farmers’ willingness to accept (WTA) incentives to embrace climate-smart agriculture (CSA) to combat land degradation was examined with choice experiment data collected from 1,138 farmers drawn across 16 States in Nigeria. Data analysis within random-effect and mixed logit framework revealed the existence of strong linkages between the payment vehicle, LTPRs and farmers’ CSA preferences. While farmers who were dependent on leased and/or communal lands expressed implicit dislike for CSA-related investments, the majority with freehold titles, particularly those with registered titles, expressed positive WTA incentives to embrace CSA and combat land degradation.

The Internet may reduce constraints on a farmer's ability to receive and manage information, regardless of where the farm is located or when the information is used. Using a count data estimation procedure, this study attempts to examine the key farm, operator, regional, and household characteristics that influence the number of Internet applications used by farm households. Findings indicate that educational level of the farm operator, farm size, farm diversification, off-farm income, off-farm investments, and regional location of the farm have a significant impact on the number of Internet applications used.

Data from the 2006 Agricultural Resource Management Survey and multivariate regression procedures are used to examine the role of human capital in impacting the incomes of farm households. The paper uses an “adjusted” concept of income where government payments are subtracted from total household income thus allowing for the utilization of government payments as a potential control variable in the regression models. Findings indicate a significant and positive role for higher education except for farm households at the very lower and upper ends of the income distribution.

The Internet is becoming an increasingly important management tool in production agriculture. Using data from the 2004 Agricultural Resource Management Survey (ARMS) and a double-hurdle estimation approach, we explore the adoption of computers with Internet access by and Internet purchasing patterns of farm households. Adoption of the Internet is positively related to age and education of the operator, off-farm work, presence of spouse, participation in government programs, farm size, and regional location of the farm. Internet purchasing patterns of farm households are positively related to the education of the operator and spouse, presence of teenagers, and regional location of the farm. Finally, farm businesses and their households are more likely to purchase a greater percentage of non-durable goods through the Internet as distances to markets increase.

This research uses data from the 2005–2011 Agricultural Resource Management Survey and a two-part-model regression procedure to examine the impact of health insurance and other relevant socioeconomic factors on the distribution of health care expenditures among U.S. farm households. Findings show the importance of privately acquired health insurance coverage in explaining inequality in health care expenditures. The results also reveal, among other things, a statistical positive association between health care expenditures and farm operators who fall into the baby boomer age category. A similar statistical association is found for higher income levels but not for inequality of income.

We estimate the impacts of various types of government payments to U.S. agriculture on different components of farm household consumption. Using 2003 to 2005 data from the Agricultural Resource Management Survey (ARMS), we show that marginal rates of consumption differ by consumption category and income source, including different types of farm program payments. The results suggest that farm households treat income from different sources as imperfect substitutes and may reserve income from specific sources for specific types of consumption. Implications for the effects of different types of government payments on the farm household are considered.

The risks associated with increasing climate variability pose technological and economic challenges to societies which are dependent on agriculture for their livelihood. In Southwestern Cameroon the natural variability of rainfall and temperatures contribute to variability in agricultural production and food insecurity. This paper explores the impact of climate variability in Southwestern Cameroon on food availability. It examines farm household's vulnerability to food availability relating to climate, and reviews the interplay of climate, agriculture, and prospects for food security in the region. An econometric function directly relates farm income and precipitation, in order to statistically estimate the significance of farm-level adaptation methods. The results reveal that precipitation during growing and adaptation methods through changes in soil tillage and crop rotation practices have significant effects on farm returns. An essential precondition for food security and overall agricultural development in Southwestern Cameroon is a dynamic agricultural sector brought about both by steady increase in agricultural production and by greater efforts in farmer support, to enable farm households to take advantage of the opportunities and to minimize the negative impacts of climate variation on agriculture.