Marketing,cooperatives and price heterogeneity: evidence from the CIS dairy sector

Drawing on survey data, this article identifies the determinants of variations in farm gate milk prices for three CIS countries (Armenia, Moldova, and Ukraine). We apply a multi‐level modeling approach, specifically a bootstrapped mixed‐effects linear regression model. The analysis suggests three main strategies to improve the price received by farmers for their output: consolidation, competition for output, and stable supply chain relationships. In Armenia and Ukraine selling through a marketing cooperative has a significant, positive, albeit modest, effect on farm gate milk prices. In all three countries studied, the size of dairy operations, trust, and contracting also affect positively the prices received by farmers.     

Supply response in Ethiopia: accounting for technical inefficiency

Few empirical studies of supply response using the profit function have accounted for technical inefficiency. Using farm‐level panel data from Ethiopia, this study examines the effect of incorporating technical inefficiency in estimating the supply response of peasant farmers. Two systems of output supply and input demand equations are estimated and compared: the conventional model in which technical efficiency is assumed and another in which technical inefficiency is explicitly incorporated. The model with technical inefficiency is preferred on grounds of theoretical consistency and improved estimates, although model comparison tests are not conclusive. Incorporation of inefficiency generally increases the magnitudes and the statistical significance of own price elasticities, substantially so in the case of fertilizer and fertilizer‐intensive crops, and alters the priority attached to nonprice factors. An important result is that only the specification with inefficiency reveals a significant effect of access to extension services on output. Only this specification finds that output increases with household size, which one expects as the farms in the sample are largely subsistence and producing for own consumption. Furthermore, the results demonstrate that farmers' response to incentives is considerably restricted by inefficiency, suggesting that the traditional model would overstate response by excluding the efficiency variable.     

Effect of off‐farm income on smallholder commercialization: panel evidence from rural households in Ethiopia

This article investigates how off‐farm income affects crop output market participation decisions and marketed surplus of smallholder farmers in Ethiopia. A double‐hurdle model is estimated using three waves of panel data from the Ethiopian Rural Household Survey. Unobserved heterogeneity is controlled for using a correlated random effect procedure and potential endogeneity of explanatory variables using a control function approach. The results show that off‐farm income has no significant influence on household crop output market participation. However, conditional on market participation, additional off‐farm earnings negatively affect the marketed surplus. This indicates that farmers use off‐farm earnings for consumption rather than for investment in agricultural production. Policy measures that promote rural investment may help increase returns to labor for land‐poor households participating in off‐farm work in the process of agricultural commercialization.     

Big is efficient: Evidence from agricultural cooperatives in Ethiopia

In Ethiopia, there is a renewed interest in agricultural cooperatives as an institutional tool to improve the welfare of smallholder farmers. One of the pathways through which cooperatives benefit their members is scale economies. However, the establishment of cooperatives in Ethiopia seems to pay little attention to the size of the organizations. This article aims at investigating the effect of size on cost efficiency of agricultural cooperatives. More specifically, the purpose is to examine whether a single cooperative can serve a given number of farmers at a lower cost than two or more smaller cooperatives could. We employ the concept of cost subadditivity to compare the cost efficiency of large versus small cooperatives, and by extension unilateral actions. We estimate a flexible production technology using cross‐sectional cooperative‐level data. Findings show that costs would drop by 78% to 181% if farmers join hands in relatively large rather than small cooperatives.     

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.     

Agricultural production and children's diets: evidence from rural Ethiopia

We study the relationship between pre‐school children's food consumption and household agricultural production. Using a large household survey from rural Ethiopia, we find that increasing household production diversity leads to considerable improvements in children's dietary diversity. However, we also document how this nonseparability of consumption and production does not hold for households that have access to food markets. These findings imply that nutrition‐sensitive agricultural interventions that push for market integration are likely to be more effective in reducing under‐nutrition than those promoting production diversity.     

The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana

This study employs the propensity score matching model to examine the impact of the adoption of water conservation and intensification technologies on farm output and income among small-scale lowland rice farmers in the Northern Region of Ghana. The matching was conducted based on the Mahalanobis distance combined with the propensity score. Balancing tests by checking the mean standardized absolute bias in the matched sample were conducted as well as a sensitivity analysis was conducted to check for hidden bias due to unobservable selection. The empirical results show a positive and significant impact of the adoption of bunds technology on input demand as well as a positive but insignificant impact on output supply and net returns. Adopters of the dibbling technology were found to have higher output supply, whereas no statistically significant difference was found between the incomes of adopters and nonadopters of dibbling seed method. The results, however, reveal a positive and significant effect on output and net returns when the dibbling method is combined with intensified weeding. The estimates were found to be relatively insensitive to hidden bias.     

Poor but allocatively efficient—evidence from the Eastern Amazon

This research empirically investigates the well‐known “poor‐but‐efficient” hypothesis formulated by Schultz (1964) assuming that small‐scale farmers in developing countries are reasonably efficient in allocating their scarce resources by responding positively to price incentives. Deviating from Schultz it is assumed here that scale effects explain a considerable proportion of small‐scale farmers' relative efficiency. The theoretical underpinnings of the scale efficiency concept are briefly reviewed before a normalized generalized Leontief (GL) profit function is modeled by using its output supply and input demand system to capture the joint production of cassava flour and maize by a sample of small‐scale farmers in the Bragantina region of the Eastern Amazon, Brazil. The discussion of theoretical consistency and functional flexibility is considered by imposing convexity on the GL profit framework. The empirical results confirm our revised hypothesis that small farmers in traditional development settings are “poor‐but‐allocatively efficient” by clearly suggesting considerable inefficiency with respect to the scale of operations.     

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.     

Impact of training on the intensification of rice farming: evidence from rainfed areas in Tanzania

Agricultural development is indispensable for poverty reduction and food security in sub‐Saharan Africa (SSA). This study investigates the impact of rice production training in a modified version of the System of Rice Intensification (SRI) on the performance of small‐scale rice farmers in a rainfed area of Tanzania. Utilizing the plot level variation, we employ propensity score matching (PSM) to assess the impact of training on technology adoption, productivity, and profitability. We also estimate a difference‐in‐differences model with plot fixed effects using recall panel data covering the periods before and after training. We found that trainees achieved an average paddy yield of 4.7 tons per hectare and rice profit of 191.5 USD per hectare on the plots where new technologies were adopted, which is higher by about 1.3–1.8 tons and 119–137 USD per hectare than on the other plots. Our study suggests the high potential of transforming favorable rainfed rice growing areas in SSA so as to achieve a rice Green Revolution through training in modern input use and improved agronomic practices.     

Introduction to the Special Feature: Evaluating the Impact of Agricultural Projects in Developing Countries

This article provides an introduction to the special feature on impact evaluation of agricultural projects in developing countries. The special feature is motivated by an increased interest in impact evaluation both within the economics profession and the development community. The article highlights methodological issues in conducting such evaluations and discusses the current literature that empirically assesses the effectiveness of agricultural projects. A synthesis of the articles presented in the special feature and their contribution to the literature are noted as well as conclusions on the next steps in evaluating agricultural projects in developing countries.     

The influence of proximity to market on bean producer prices in Nicaragua

Transport costs are an important determinant of smallholder welfare in developing countries. In particular, transport costs influence the prices that smallholders receive for their produce. We propose a simple way of quantifying this influence. Taking the example of bean producers in Nicaragua, we employ a hedonic price model to estimate the effects of a smallholder's proximity to markets on the prices that he/she receives, while controlling for other factors such as the volume and quality of beans sold. We find that on average each additional minute of travel time reduces farm gate prices by 2.5 cents per quintal. Based on these results, the annual income from bean sales of the average smallholder in our sample would increase by between 24 and 110 USD if travel time to markets were reduced by 25%. Estimates of this nature can make an important contribution to cost–benefit assessments of infrastructure investments.     

Economic impacts of integrated pest management (IPM) farmer field schools (FFS): evidence from onion farmers in the Philippines

This article comprehensively examines the impact of integrated pest management‐farmer field school (IPM‐FFS) on yield, insecticide expenditures, labor expenditures, herbicide expenditures, fertilizer expenditures, and profit, based on data from onion producers in the Philippines. Propensity score matching (PSM) and regression‐based approaches that account for potential bias due to selection problems from observable variables are used to achieve the objective of the study. Sensitivity of our IPM‐FFS impact results to potential bias due to “selection on unobservables” was also assessed. We find that farmers who participate in the IPM‐FFS training program have statistically lower insecticide expenditures than the non‐IPM‐FFS farmers. But we do not find any evidence that the IPM‐FFS training program significantly affects yield and the other inputs. There is some evidence indicating that IPM‐FFS farmers may have statistically higher profit levels than non‐IPM‐FFS producers, but these results are sensitive to and may still be invalidated by bias due to unobservable variables. Since IPM‐FFS seem to only significantly reduce insecticide use, policymakers and extension educators may need to adjust the IPM‐FFS curriculum to further emphasize (or include) other agronomic practices that also optimize the use of other inputs like labor, fertilizer, and herbicides. The more efficient use of all inputs would likely reduce total expenditures and eventually translate to higher incomes.     

Impact of conservation agriculture technology on household welfare in Zambia

This article examines the determinants and impact of conservation agriculture (CA) technology adoption on farm household welfare in Zambia. To account for selection bias from both observable and unobservable factors, an endogenous switching regression model is employed to estimate the impact of the technology on continuous outcomes like farm output, throughput accounting ratio (TAR), poverty gap, and severity of poverty. A recursive bivariate probit model is however used for the estimation of impact of adoption on a binary outcome like poverty headcount. The empirical findings demonstrate that the adoption of CA technology increases maize output, and farm TAR and reduces household poverty. Moreover, the results reveal that farmers’ years of schooling, social networks, access to credit, extension services, and machinery as well as soil quality positively influence adoption of CA technology.     

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.     

Market facilities and agricultural marketing: evidence from Tamil Nadu,India

This article analyzes the effect of facilities and infrastructure available at the marketplace on a farmer's decision to sell at the market. The econometric estimation shows that the likelihood of sales at the market increases significantly with an improvement in market facilities and a decrease in travel time from the village to the market. The results suggest that wealth reduces a farmer's cost of accessing market facilities more than it increases her/his opportunity cost of leisure. The policy simulation indicates that the marginal benefits from an improvement in market facility will favor the poorer farmers in the context of India.     

Smallholders,institutional services,and commercial transformation in Ethiopia

This article examines the role of institutional services of credit, input supply, and extension in the overall commercial transformation process of smallholder agriculture in Ethiopia. Survey data collected in 2006 from 309 sample households in three districts of Ethiopia are used for the analyses. Tobit regression models are used to measure the effect of access to services on the intensity of inputs use for fertilizer and agrochemicals. A probit model is used to measure these effects on the adoption of improved seeds. Intensity of use of seeds is analyzed using an ordinary least squares model. Logarithmic Cobb–Douglass functions are estimated to analyze the effect of access to services on crop productivity. Heckman's two‐stage estimation is used to examine determinants of household market participation and the extents of participation. Results show that access to institutional support services plays a significant role in enhancing smallholder productivity and market orientation. Our results imply that expanding and strengthening the institutional services is critical for the intensification and market orientation of smallholder agriculture in Ethiopia. In particular, appropriate incentives and regulatory systems are urgently needed to encourage the involvement of the private sector in the provision of agricultural services.     

Land use and income diversification: comparing traditional and colonist populations in the Brazilian Amazon

This article compares and analyzes land use and income diversification among two distinct groups of farmers in the Brazilian Amazon: recent colonists in Ouro Preto do Oeste, Rondônia, and traditional long‐term residents along the Tapajós River, Pará. We investigate the hypothesis that farmers who diversify their cash income sources clear less forest on an annual basis, and we compare these livelihood choices across colonist and traditional populations. In particular, we develop a conceptual model based on the household production framework and use econometric models to identify determinants of diversification and forest clearing. We find that diversification of agricultural cash crops is negatively correlated with forest clearing by colonists, providing limited evidence for the hypothesis. Other significant covariates of diversification and forest clearing include cash income levels, stage in family life cycle, cattle ownership, and chemical inputs. Differences in these variables, and differences in household response to these variables, explain variation in diversification and forest clearing across the two populations.     

China's booming livestock industry: household income, specialization, and exit

China's production of livestock products has generally kept pace with her rapidly increasing demand. Over-supply and market corrections for various livestock products took place over the latter part of the 1990s and large numbers of householders exited this type of production. Using household survey data, we estimate the relationship between a household's specialization in livestock production and household net income in 1995, and use a logit model to explore some predictors of household exit from livestock production over the following decade of market instability. We conclude that specialist livestock households with access to necessary skills, technologies, and markets increase their incomes from further livestock specialization in the base year, whereas those to whom livestock production is relatively unimportant can increase household incomes by diverting their resources away from animal husbandry. It was specialist rather than diversified livestock households that tended to bear the brunt of the adjustment to unfavorable price movements over the decade post-1995. Policy concerns include the exit of larger-scale specialized producers who tended to earn relatively high household incomes in 1995, barriers to the effective formation and operation of horizontal and vertical integration options to help mitigate market instability, the further development of insurance programs and markets for livestock producers, and development assistance to livestock households that for various reasons cannot increase scale and specialization.