Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia

This paper uses a multinomial endogenous treatment effects model and data from a sample of over 800 households and 3,000 plots to assess the determinants and impacts of adoption of sustainable agricultural practices (SAPs) on maize yields and household incomes in rural Zambia. Results show that adoption decisions are driven by household and plot level characteristics and that the adoption of a combination of SAPs raises both maize yields and incomes of smallholder farmers. Adoption of improved maize alone has greater impacts on maize yields, but given the high cost of inorganic fertiliser that limits the profitability of adoption of improved maize, greater household incomes are associated rather with a package involving SAPs such as maize–legume rotation and residue retention.     

Do Farmers and the Environment Benefit from Adopting Integrated Pest Management Practices? Evidence from Kenya

We estimate the impacts of a bundle of integrated pest management (IPM) practices on mango yield, mango net income, insecticide use, human health and the environment, using recent household survey data of mango growers in Kenya. We employ a multinomial endogenous switching treatment regression model with an ordered probit selection rule to establish counterfactual outcomes. Our results indicate that IPM‐adopting farmers have higher mango yields and mango net income, and also use lower quantities of insecticide and cause less damage to the environment and to human health. In addition, switching from one IPM to multiple IPM practices generates greater economic, environmental and human health benefits. These results suggest intensification of IPM‐adoption efforts and encouragement of the use of multiple IPM practices. These positive outcomes could be achieved through greater provision of technical support and extension services to farmers.     

Heteroscedastic hedonic price model for cattle in the rural markets of central Ethiopia

This study employs a heteroscedastic hedonic price model to examine the factors that influence cattle prices in the rural markets of central Ethiopia. The empirical results show that season, market location, class of cattle, body size and age are very important determinants of the cattle price. The relative weight of the phenotypic characteristics of the animals is among the highest of all the factors considered. These preferences at the farmers’ and farmer traders’ levels are the ones that matter most in shaping the diversity of animals kept at farm level, and the diversity of cattle genetic resources is quite essential for generating or identifying the best suited breeds of cattle, given the livelihood objectives of the target community.     

The Economics of Sustainable Land Management Practices in the Ethiopian Highlands

This article uses data from household‐ and plot‐level surveys conducted in the highlands of the Tigray and Amhara regions of Ethiopia. We examine the contribution of sustainable land management (SLM) practices to net value of agricultural production in areas with low vs. high agricultural potential. A combination of parametric and non‐parametric estimation techniques is used to check result robustness. Both techniques consistently predict that minimum tillage (MT) is superior to commercial fertilisers (CFs), as are farmers’ traditional practices (FTPs) without CFs, in enhancing crop productivity in the low agricultural potential areas. In the high agricultural potential areas, in contrast, use of CFs is superior to both MT and FTPs without CFs. The results are found to be insensitive to hidden bias. Our findings imply a need for careful agro‐ecological targeting when developing, promoting and scaling up SLM practices.     

Valuing Traits of Indigenous Cows in Central Ethiopia

This research aimed at identifying and estimating the relative weight assigned to the preferred traits of indigenous cow population in the most dominant crop–livestock mixed production system in Central Ethiopia. A choice experiment approach was employed to elicit the preferences and a random parameters logit model was used to estimate the relative importance of the preferred attributes of indigenous cows. The results show that fertility, disease resistance and calf vigour traits are at least as important as milk. The location the cows are brought from is also an important attribute for buyers. Results from the simulation on the influence of changes in attribute levels showed that fertility and disease resistance affect preferences more than other traits. The findings suggest that the smallholder community in this part of Ethiopia depends on semi‐subsistence agriculture and so livestock development interventions should focus on a multitude of reproductive and adaptive traits that stabilise the herd structure rather than focusing on traits that are only important for commercial purposes.     

The influence of farm input subsidies on the adoption of natural resource management technologies

Farm input subsidies are often criticised on economic and ecological grounds. The promotion of natural resource management (NRM) technologies is widely seen as more sustainable to increase agricultural productivity and food security. Relatively little is known about how input subsidies affect farmers’ decisions to adopt NRM technologies. There are concerns of incompatibility, because NRM technologies are one strategy to reduce the use of external inputs in intensive production systems. However, in smallholder systems of Africa, where the average use of external inputs is low, there may possibly be interesting complementarities. Here, we analyse the situation of Malawi's Farm Input Subsidy Program (FISP). Using panel data from smallholder farm households, we develop a multivariate probit model and examine how FISP participation affects farmers’ decisions to adopt various NRM technologies, such as intercropping of maize with legumes, use of organic manure, water conservation practices and vegetative strips. As expected, FISP increases the use of inorganic fertilizer and improved maize seeds. Yet, we also observe a positive association between FISP and the adoption of certain NRM technologies. For other NRM technologies, we find no significant effect. We conclude that input subsidies and the promotion of NRM technologies can be compatible strategies.     

Estimating returns to soil conservation adoption in the northern Ethiopian highlands

Land degradation in the form of soil erosion and nutrient depletion presents a threat to food security and sustainability of agricultural production in many developing countries. Governments and development agencies have invested substantial resources to promote soil conservation practices as part of an effort to improve environmental conditions and reduce poverty. However, limited rigorous empirical work has been done on the economics of soil conservation technology adoption. This article investigates the impact of stone bunds on value of crop production per hectare in low and high rainfall areas of the Ethiopian highlands using cross-sectional data from more than 900 households, with multiple plots per household. We have used modified random effects models, stochastic dominance analysis (SDA), and matching methods to ensure robustness. The parametric regression and SDA estimates are based on matched observations obtained from the nearest neighbor matching using propensity score estimates. This is important, because conventional regression and SDA estimates are obtained without ensuring that there actually exist comparable conserved and nonconserved plots on the distribution of covariates. We use matching methods, random effects, and Mundlak's approach to control selection and endogeneity bias that may arise due to correlation of unobserved heterogeneity and observed explanatory variables.
We find that the three methods tell a consistent story. Plots with stone bunds are more productive than those without such technologies in semi-arid areas but not in higher rainfall areas, apparently because the moisture conserving benefits of this technology are more beneficial in drier areas. This implies that the performance of stone bunds varies by agro-ecology type, suggesting the need for designing and implementing appropriate site-specific technologies.     

Socioeconomic burden of trypanosomiasis: Evidence from crop and livestock production in Ethiopia

This paper estimates the impact of trypanosomiasis on crop-livestock production, economic loss and poverty in Ethiopia. We use unique panel data to estimate how the disease affects livestock deaths, production costs and crop production. We then use these estimates to evaluate the disease's total economic loss and its implications on poverty in the study districts and the country. Estimates of the fixed effect regression models indicate that trypanosomiasis increases the value of livestock deaths by 33% and production costs by 63%. Crop production decreases by 14% when trypanosomiasis and oxen death coexist. We estimate that the direct economic loss is about US$58,300 per annum in the study districts. The estimated countrywide economic loss is about US$94 million per annum. Had the government prevented this economic loss and invested it in social protection programmes, it could have lifted about 9000 people in the study districts and about 200,000 people in the country above the national poverty line per annum. These findings indicate that trypanosomiasis remains a major production constraint. Controlling the disease appears to be pro-poor, calling for more policy attention.