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.     

The impact of strengthening agricultural extension services on women farmers: Evidence from Ethiopia

This paper evaluates the effect of the Rural Capacity Building Project (RCBP), which aimed at promoting growth by strengthening the agricultural service systems in Ethiopia, and by making them more responsive to smallholders’ needs, in particular women farmers. We examine the gender‐differentiated impact of the RCBP using panel data on 1,485 geographically dispersed households in project and control kebeles. We find that women farmers’ access and satisfaction with extension services increased significantly immediately after the start of the project, but that effect did not last into the medium term. The project led to an increase in the adoption of high‐value crop farming, area of land cultivated, and economic participation of household members, benefiting male‐ and female‐headed households equally. Results point to the positive impact of incorporating women's needs and constraints in the design of the agricultural extension system. However, the project was not able to reduce the preexisting gender gap in agricultural outcomes.     

Agricultural technology adoption and child nutrition enhancement: improved maize varieties in rural Ethiopia

Adoption of improved crop varieties can lead to multiple benefits to farm households, including increased productivity, incomes, and food consumption. However, possible impacts of adoption on child nutrition outcomes are rarely explored in the literature. This article helps bridge this gap through an impact assessment of the adoption of improved maize varieties (IMVs) on child nutrition outcomes using a recent household survey from rural Ethiopia. The conceptual linkage between IMV adoption and child nutrition is first established using an agricultural household model. Instrumental variable estimation suggests the overall impacts of adoption on child height‐for‐age and weight‐for‐age z‐scores to be positive and significant. Quantile instrumental variable regressions further reveal that such impacts are largest among children with poorest nutrition outcomes. Finally, by combining a decomposition procedure with system of equations estimation, it is found that the increase in own‐produced maize consumption is the major channel through which IMV adoption affects child nutrition.     

Decomposition of gender differentials in agricultural productivity in Ethiopia

A number of studies document gender differentials in agricultural productivity. However, they are limited to region and crop‐specific estimates of the mean gender gap. This article improves on previous work in three ways. First, data representative at the national level and for a wide variety of crops is exploited. Second, decomposition methods—traditionally used in the analysis of wage gender gaps—are employed. Third, heterogeneous effects by women's marital status and along the productivity distribution are analyzed. Drawing on data from the 2011–2012 Ethiopian Rural Socioeconomic Survey, we find an overall 23.4 percentage point productivity differential in favor of men, of which 13.5 percentage points (57%) remain unexplained after accounting for gender differences in land manager characteristics, land attributes, and access to resources. The magnitude of the unexplained fraction is large relative to prior estimates in the literature. A more detailed analysis suggests that differences in the returns to extension services, land certification, land extension, and product diversification may contribute to the unexplained fraction. Moreover, the productivity gap is mostly driven by non‐married female managers—particularly divorced women—; married female managers do not display a disadvantage. Finally, overall and unexplained gender differentials are more pronounced at mid‐levels of productivity.     

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.     

Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment in Germany

This paper explores farmers’ willingness to adopt genetically modified (GM) oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation reveals that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non‐GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45% and 80% of the GM rent, and the deadweight loss of the monopoly would range between 15% and 30% of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non‐GM oilseed rape along the supply chain.     

Ex post impacts of improved maize varieties on poverty in rural Ethiopia

Public agricultural research has been conducted in Africa for decades. While many studies have examined its aggregate impacts, few have investigated how it affects the poor. This paper helps fill this gap by applying a new procedure to explore the ex post impacts of improved maize varieties on poverty in rural Ethiopia. Plot‐level yield and cost changes due to adoption are first estimated using instrumental variable and marginal treatment effect techniques where possible heterogeneity is carefully accounted for. A backward derivation procedure is then developed to link treatment effect estimates with an economic surplus model to identify the counterfactual household income that would have existed without improved maize varieties. Poverty impacts are finally estimated by exploiting the differences between observed and counterfactual income distributions. Improved maize varieties have led to a 0.8–1.3 percentage drop of poverty headcount ratio and relative reductions of poverty depth and severity. However, poor producers benefit the least from adoption due to the smallness of their land holdings.     

Adoption and Abandonment of Organic Farming: An Empirical Investigation of the Irish Drystock Sector

There is a considerable literature about the adoption of organic farming. However, possible abandonment of organic farming has received scant attention. Thus, relatively little is known about the exit decisions of farmers. In addition, most studies are based on a static framework where it is not possible to account for changes in farmer decisions over time. This article attempts to fill this gap in the literature by investigating the determinants that affect both adoption and abandonment of organic drystock farming over time. The use of duration analysis allows for the consideration of cross‐sectional and time‐varying factors over the study period from 1981 to 2008. Using this dynamic econometric framework revealed a significant time effect on entry and exit decisions. Overall, the results highlight that where no attempt is made to account for exit decisions and time effects, important information about sustainable farmer decisions may not be taken into consideration.     

Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia

Using plot level panel data and multinomial endogenous switching regression, this article analyzes the adoption and welfare impacts of multiple agricultural technologies in eastern Zambia. We adapt a multinomial endogenous switching/treatment effect regression framework to correct for selection bias and endogeneity originating from both observed and unobserved heterogeneity. Results indicate that joint adoption of multiple agricultural technologies had greater impacts on crop yields, household incomes, and poverty than the adoption of individual components of the technology package. Our findings suggest that efforts aimed at raising household incomes and reducing poverty should focus on promoting the adoption of multiple agricultural technologies through provision of improved support services such as extension and input supply.     

Agricultural Policy Reform and Off‐farm Labour Decisions

Off‐farm labour decisions of a sample of Kansas farmers are evaluated. The central question of our analysis pertains to whether 1996 US farm policy reforms may have altered the decisions to work off the farm. The effects of policy decoupling on off‐farm labour are complex: different aspects of policy changes can have opposing effects on off‐farm work decisions. Essentially, this makes this issue an empirical question. Results show that the introduction of fixed, decoupled payments in 1996 might have reduced the likelihood of off‐farm labour participation. However, the new policy environment may have increased farm households’ revealed aversion to risk, motivating a higher participation in non‐farm labour markets. The effects of 1996 policy reforms on farm income variability could have been attenuated by changes in US crop insurance programmes and by an increase in emergency assistance payments towards the end of the 1990s. The reduction in price supports may have increased the motivation for working off the farm. The net effect of the overall reforms on off‐farm work participation is not likely to have been large.     

Tenants’ land access in the rental market: evidence from northern Ethiopia

The purpose of this study is to investigate the allocation efficiency in the tenancy market, and thereby the potential of the market to facilitate operational farm size adjustment that can help land‐poor tenant households to transform into smallholder commercial farms. We analyzed three rounds of balanced panel data for the production seasons 2005–2006, 2009–2010, and 2014–2015 collected from 320 smallholder farms in Tigrai region in northern Ethiopia. Random effects dynamic probit and tobit models are used to assess how land‐poor tenants’ access and extent of access to land are affected by state dependency (earlier participation in the market), kinship ties, climate shocks, and legal restrictions. The results indicate that state dependency and kinship ties with the landholder had strong positive effects on participation and intensity of participation. Climate shocks significantly affected the intensity of participation of tenants already in the rental market. Tenants’ overall access to rented land had not improved from 2005–2006 to 2014–2015. The amount of land accessed by those already in the market was insufficient for them to become commercial farmers. The important policy implication is that orchestrated interventions at community level are needed to reduce transaction costs and thereby improve land access of entrepreneurial tenants.     

Productivity,credit, risk,and the demand for weather index insurance in smallholder agriculture in Ethiopia

The article explores the relationship between fertilizer use and the demand for weather index insurance (WII) among smallholder farmers in Ethiopia. We examine whether fertilizer use is profitable under current smallholder production conditions, whether risk‐related factors affect fertilizer use, and we estimate the returns to inputs in the agricultural production function in the absence of insurance. We then study how these primitives of agricultural production functions relate to insurance demand. The study compares a survey‐based estimate of willingness to pay with actual uptake for the weather insurance, finding the stated and actual demand to be almost completely uncorrelated. While those with high marginal returns to inputs say they would purchase insurance, only those with low marginal returns actually do, consistent with the stated purpose of the product as input insurance. Insurance demand proves to be highly responsive to the existence and amount of randomly allocated insurance vouchers.     

Cattle sharing and rental contracts in an Agrarian economy: evidence from Ethiopia

Empirical evidence on the role of cattle sharing and rental contracts in agrarian economies is limited. This article is an investigation of different types of cattle sharing and rental contracts producers in rural Ethiopia adopt. It also investigates why households in rural Ethiopia rely on these contracts that are vulnerable and therefore subject to potential moral hazard problems described in earlier literature. We apply random effect probit and control function econometric methods to household panel data collected in 2005 and 2007 from two agro‐ecological zones in Ethiopia. Controlling for the endogeneity of access to livestock credit, we find that contracts are spatially fragmented and better developed where population density is high and credit and insurance markets are poorly developed. We also find that contracts help cash poor and credit constrained households to improve their herd dynamics, to get access to nonlivestock resources (land, labor and cash) and share risks that could have been difficult without the contract. We show that contracts are rational responses of residents in rural communities characterized by imperfect credit and insurance services, since households with better access to credit are less likely to rely on contracts.     

Biodiversity Conservation and Productivity in Intensive Agricultural Systems

This paper explores the economic effects of biodiversity loss on marketable agricultural output for intensive agricultural systems, which require an increasing level of artificial capital inputs. A theoretical bio‐economic model is used to derive a hypothesis about the effect of the state of biodiversity on the optimal crop output both in the longer run and in the transitional path towards the steady‐state equilibrium. The hypothesised positive relationship between biodiversity stock and optimal levels of crop output is empirically tested using a stochastic production frontier approach, based on data from a panel of UK specialised cereal farms for the period 1989–2000. The results support the theoretical hypothesis. Increases in biodiversity can lead to a continual outward shift in the output frontier (although at a decreasing rate), controlling for the relevant set of labour and capital inputs. Agricultural transition towards biodiversity conservation may be consistent with an increase in crop output in already biodiversity‐poor modern agricultural landscapes.     

CAP Subsidies and Productivity of the EU Farms

The paper investigates the impact of the Common Agricultural Policy (CAP) subsidies on farm total factor productivity (TFP) in the European Union (EU). We employ a structural semi‐parametric estimation algorithm directly incorporating the effect of subsidies into a model of unobserved productivity. We empirically study the effects using the Farm Accountancy Data Network (FADN) samples for the EU‐15 countries. Our main findings are clear: subsidies impact negatively on farm productivity in the period before the decoupling reform was implemented; after decoupling the effect of subsidies on productivity is more nuanced and in several countries it turned positive.     

The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial

In 2013, Ethiopia's Agricultural Transformation Agency introduced the Wheat Initiative to increase smallholder productivity. In this article, we measure the impacts of the Wheat Initiative package of technologies, and its marketing assistance component alone, on yields among a promotional group of farmers. The package includes improved techniques, improved inputs, and a guaranteed market for the crop. Relying on crop‐cut measures and farmers’ own assessments, we find that full package led to an average 14% higher yields. Implementation of the Wheat Initiative was successful in making certified seed and fertilizer accessible to farmers and increasing their uptake, though only 61% of the intervention group adopted row planting and few farmers received marketing assistance. The measured yield difference may underestimate the true yield difference associated with the technology because of incomplete adoption of the recommended practices by intervention farmers and adoption of some practices by control farmers.     

Sharecropping efficiency in Ethiopia: threats of eviction and kinship

We tested a theoretical model with the Marshallian inefficiency (H1) and threat of eviction (H2) hypotheses having opposite effects on land productivity on sharecropped plots. The model also assumes that kinship contracts may eliminate or reduce the Marshallian inefficiency (H3) and threat of eviction (H4) effects on land productivity. Our empirical findings were consistent with H2 and H4 being true. We found higher land productivity on sharecropped plots than on share tenants' own plots and higher land productivity on sharecropped plots of nonkin than of kin tenants. The nature of the data allowed controlling for unobservable household characteristics through household fixed effects and for observable plot characteristics. Analyses with and without plot characteristics revealed that these findings were stronger with plot characteristics than without them. Based on the plausible assumption that observable plot characteristics are positively correlated with unobservable plot characteristics this strengthens our conclusion. The results are also supported by first-order stochastic dominance analysis. Sharecropped plots' output value distribution unambiguously dominated the output value distribution from share tenants' own plots. Nonkin sharecropped plots' output value distribution also first-order stochastically dominated the output value distribution from kin sharecrop plots.     

Sequential technology implementation,network externalities,and risk: the case of automatic milking systems

Using random effects and mixed effects probit regression techniques, this empirical study investigates factors for technology adoption at the firm level. We account for problems of sequential technology implementation and behavior identification. Results underscore the importance of risks faced by the agents, the effects of network externalities and peer‐group learning, and the positive influence of previous firm‐specific innovation experiences.