Distress rentals and the land rental market as a safety net: contract choice evidence from Tigray,Ethiopia

Rural households in the semiarid Northern Ethiopian highlands are net buyers of food. Crop failure due to erratic and unpredictable rainfall occurs frequently and leads to food shortages and income shocks. The renting out of land may be one of the coping responses of households exposed to shocks. We developed a theoretical household model for poor landlord households capturing their contract choice response to downside production shocks. We tested econometrically whether contract choice may depend on poverty, capital constraints, production risk and random shocks. The multinomial logit model estimates show that poor households experiencing random shocks are more likely to choose fixed‐rent contracts as a distress response to shocks, suggesting that fixed‐rent contracts may be used to meet immediate needs, but at the expense of future incomes. We also found that fixed‐rent contracts are preferred when ex ante production risk is low, while sharecropping is more likely where production risk is high. Finally, we found an indication that the choice of a fixed‐rent contract as a coping response to shocks comes as a last resort after all other means of coping are exhausted.     

Measuring the cost of liquidity in agricultural futures markets: Conventional and Bayesian approaches

Estimating the cost of liquidity in agricultural futures markets is challenging because bid‐ask spreads are usually not observed. Based on an ability to reflect simulated data from Roll's spread model, we assess the effectiveness of conventional and Bayesian bid‐ask spread estimators under different market conditions. Conventional serial covariance and absolute price change spread estimators appear to be biased. Hasbrouck's Bayesian estimator generates small costs of liquidity whose values depend on the correlation and noise in the data. The absolute value Bayesian estimator is precise and works well under conditions of high levels of noise and correlation usually found in agricultural futures markets. Using data from live cattle (LC) and lean hog (LH) contracts, we find similar patterns of performance that produce economically meaningful cost of liquidity differences.     

Multinationals vs. Cooperatives: The Income and Efficiency Effects of Supply Chain Governance in India

The impact of multinational firms on the domestic agricultural sector in developing countries is controversial, in particular in India. Relying on a unique set of household‐level data from the state of Punjab, we study the biggest dairy company in the world (Nestlé) in India and compare its vertical spillover effects on upstream suppliers to other market channels (informal sector and cooperatives). We find that farmers that supply informal channels are less efficient and earn lower profits per dairy animal than farmers supplying the cooperative and the multinational sector. Furthermore, we find that farmers using the multinational channel are more efficient than farmers in the cooperative channel, but equally profitable. Hence, we do not find that supplying the cooperative channel is more beneficial for local dairy farmers than supplying the multinational channel. Overall, however, dairy productivity and profitability levels are still dramatically low, with substantial scope for dairy development.     

Adoption of Multiple Sustainable Agricultural Practices in Rural Ethiopia

The adoption and diffusion of sustainable agricultural practices (SAPs) has become an important issue in the development‐policy agenda for sub‐Saharan Africa, especially as a way to tackle land degradation, low agricultural productivity and poverty. However, the adoption rates of SAPs remain below expected levels. This study analyses the factors that facilitate or impede the probability and level of adoption of interrelated SAPs, using recent data from multiple plot‐level observations in rural Ethiopia. Multivariate and ordered probit models are applied to the modelling of adoption decisions by farm households facing multiple SAPs, which can be adopted in various combinations. The results show that there is a significant correlation between SAPs, suggesting that adoptions of SAPs are interrelated. The analysis further shows that both the probability and the extent of adoption of SAPs are influenced by many factors: a household’s trust in government support, credit constraints, spouse education, rainfall and plot‐level disturbances, household wealth, social capital and networks, labour availability, plot and market access. These results imply that policy‐makers and development practitioners should seek to strengthen local institutions and service providers, maintain or increase household asset bases and establish and strengthen social protection schemes in order to improve the adoption of SAPs.     

Technology and the future bioeconomy

New discoveries in life sciences and the challenge of climate change are leading to the emergence of the bioeconomy where basic methods of advanced biology are applied to produce a wide array of products while also improving environmental quality. The emergence of the bioeconomy is a continuing evolutionary process of transition from systems of mining nonrenewable resources to farming renewable ones. This transition benefits from the modern tools of molecular biology that have expanded the human capacity to breed new organisms and utilize them to increase productivity in agriculture and fisheries as well as produce a wide array of products that were extracted in the past. This transition is leading to the integration of the agricultural sector with the energy and mineral sectors. The introduction of biotechnology has already improved the productivity of medicine as well as agriculture but, in the case of agriculture, has encountered resistance and regulatory constraints. The evolution of the bioeconomy requires continuous public investment in research and innovation as well as the establishment of a regulatory framework and financial incentives and institutions that would lead to continuous private sector investment in the development and commercialization of new products. One of the biggest challenges is the development of a regulatory framework that would control possible human and environmental externalities from new biotechnology products and, at the same time, not stifle innovation.     

Impacts of the End of the Coffee Export Quota System on International‐to‐Retail Price Transmission

We examine the impact of the end of the coffee export quota system (EQS) on international‐to‐retail price transmission in France, Germany and the United States. We take account of the existence of long‐run threshold effects and short‐run price transmission asymmetries (PTAs). We find evidence of threshold effects in both periods (EQS and post‐EQS) in all three countries and the presence of short‐run PTAs during the post‐EQS period in all countries, but not during the EQS period. Our results indicate that the threshold values are smaller in the post‐EQS period, suggesting that retail prices became more responsive to changes in international prices. However, the speed of adjustment towards the long‐run equilibrium decreases during the post‐EQS period in the three countries. In the short run, non‐linear impulse response analyses indicate that a shock in international prices was more persistent during the EQS period than in the post‐EQS period. Moreover, we find evidence of short‐run PTAs in the post‐EQS period, with differences across countries. We find support for the ‘rockets and feathers’ principle in the United States; in contrast, retail prices respond faster when international prices are falling in Germany and France. We explain these differences in terms of market structures.     

Agricultural price transmission across space and commodities during price bubbles

This article investigates agricultural price transmission during price bubbles. The empirical approach concerns the horizontal transmission of cereal prices both across different market places and across different commodities. The trade policy intervention put forward to mitigate the impact of price exuberance is considered. The analysis is performed using Italian and international weekly spot (cash) price data over years 2006–2010, a period of generalized turbulence of agricultural markets. Firstly, the properties of price time series are explored; then, interdependence across prices is specified and estimated by adopting appropriate cointegration techniques. Results suggest that the bubble had only a slight impact on the price spread and the temporary trade‐policy measure, when effective, has limited this impact.     

Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

This article analyzes households’ choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.     

Agency costs of vertical integration—the case of family firms,investor‐owned firms and cooperatives in the French wine industry

Vertical integration theory has long suggested internal costs related to changes in incentives due to vertical integration, which means that vertical integration may lead to agency costs. In this work, we specify the notion of agency costs of vertical integration and extend Ang et al. (2000)'s measurement of agency costs to provide an empirical assessment of these costs in the French wine industry. Our econometric analysis finds that the agency costs of vertical integration may reach 2–3% of sales. It also showed that operating expenses of vertical integration are lower for cooperatives than for other firms, while vertical integration is less rewarding for them. This raises questions on the relation between agency costs in cooperatives and their performance.     

Measuring agricultural knowledge and adoption

Understanding the tradeoffs in improving the precision of agricultural measures through survey design is crucial. Yet, standard indicators used to determine program effectiveness may be flawed, and at a differential rate for men and women. We use a household survey from Mozambique to estimate the measurement error from male and female self‐reports of their adoption and knowledge of three practices: intercropping, mulching, and strip tillage. Despite clear differences in human and physical capital, there are no obvious differences in the knowledge, adoption, and error in self‐reporting between men and women. Having received training unanimously lowers knowledge misreports and increases adoption misreports. Other determinants of reporting error differ by gender. Misreporting is positively associated with a greater number of plots for men. Recall decay on measures of knowledge appears prominent among men but not women. Findings from regression and cost‐effectiveness analyses always favor the collection of objective measures of knowledge. Given the lowest rate of accuracy for adoption was around 80%, costlier objective adoption measures are recommended for a subsample in regions with heterogeneous farm sizes.