15 pages, Increasing popularity of economic experiments for policy impact analysis has led to an on-going debate about the suitability of students to substitute professionals as experimental subjects. To date, subject pool effects in agricultural and resource economics experiments have not been sufficiently studied. In order to identify differences and similarities between students and non-students, we carry out an experiment in the form of a multi-period business management game that is adapted to an agri-environmental context. We compare the compliance behaviour of German agricultural students and German farmers with regard to water protection rules and analyse their responses to two different green nudge interventions. The experimental results reveal that the direction of the response to the policy treatments is similar. Even unexpected behaviour could be reproduced by the student sample. Nevertheless, the magnitude of the treatment effects differed between the two samples. This implies that experimenters in the field of agricultural and resource economics could use the subject pool of students to analyse the direction of nudge policies. If predictions should be made about the magnitude effects, we suggest using a professional subject pool.
24 pages, We present a systematic review of the extensive body of research on farmer risk preference measurement across Europe. We capture the methodological developments over time and discuss remaining challenges and potential areas for further research. Given the constantly evolving policy environment in Europe, and increasing climate-change related risks and uncertainties, there is large value to be gained from enhancing our understanding of this fundamental aspect of farmers’ decision-making processes and consequent actions.
21 pages, In this study we explain the concepts, determinants and imperatives of boundary in smallholder producers’ cooperatives both conceptually and empirically. The conceptual framework indicates the importance of the type of goods (being a club good or not) and range of activities that a cooperative provides to its members in defining a competitive boundary. Using unique organisational and market level data from Ethiopia, we then test empirically whether the observed (weak) performance of producers’ cooperatives in Africa is explained by their organisational boundary – the type and range of goods or services they provide to members. The empirical results confirm that the competitiveness of producers’ cooperatives is significantly correlated with the type and number of services – i.e. cooperatives that provide club goods and a limited range of services are found to be more competitive. The results also suggest that a considerable number of cooperatives in Ethiopia engage in markets where they do not have competitive advantage. Overall, we demonstrate the importance of properly defining a viable boundary – proper selection of services (or markets) and limiting the range of services – for improving the competitiveness of membership-based producer cooperatives in Africa.
18 pages, Recent studies cast doubt on the ability of abstract experiments to predict decision-making in the field. Thus, scholars have argued for more ‘realism’ by introducing context to field experiments. Yet, such realism may work against the induced values of monetary incentives in economic experiments. It is an open question whether contextual framing works best with or without inducing values, through methods such as the use of monetary incentives. Using a sample of 146 German farmers, we compare experimentally the predictive power of a framed lottery in an agricultural context vs. using an abstract version. For one half of the sample, lotteries are incentivised; for the other half, they are hypothetical. Although risk preferences differ between treatments, all four lottery tasks correlate poorly with farmers’ real-world use of risk management instruments such as harvest or hail insurance. Subjects who start with an agricultural framing are willing to take significantly greater risks in the lotteries. More generally, our findings cast doubt on the ability of lottery tasks to predict risk-taking in the field.
20 pgs, Off-farm employment opportunities are thought to have an effect on farm exit rates, though evidence on the sign of this effect has been mixed. Examining this issue in the context of Japanese agriculture, we find that farm exits are related to off-farm income as a share of household income, and more specifically to the nature of off-farm work. Two econometric models are developed: a hierarchical Bayesian linear model and a hierarchical Bayesian Poisson model. Both models perform well in predicting exit rates across the towns and prefectures of Japan.
11 pages, While cow's milk and plant-based milk are often hypothesized to be substitutes, much remains unknown about the impacts that plant-based milks have on the retail price for cow's milk, if any. We explore the individual retail price relationship between two plant-based milks, almond and soy, with cow's milk. If the markets are cointegrated, and shocks in the plant-based markets affect the cow's milk market, it can add volatility to cow's milk prices, which could have implications for costs and benefits of the USDA Dairy Margin Coverage Program and price calculations by the Federal Milk Marketing Orders (FMMO). However, while we find evidence that plant-based milk prices react to shocks in cow's milk prices, we do not find evidence that cow's milk prices respond to changes in plant-based milk prices.
16 pages, There is growing evidence that religiosity affects important socio-economic outcomes. A potential channel through which religiosity affects these outcomes is by shaping individuals’ risk preferences. We combine a lab-in-the-field experiment, survey, and focus-group discussions to investigate the effect of religiosity on risk-taking among rural people in Ethiopia. We find evidence that religious farmers are more risk-taking. The effect is likely driven by the trust/belief in God as the omniscient and just power in determining outcomes under uncertainty. This is further corroborated by results from follow-up focus-group discussions.
13pgs, This article examines the effects of neighborhood on the farmer's technical efficiency (TE) level, adopting a stochastic frontier and spatial Durbin regression models. Our study exploits a three-wave household-level panel data from the Ethiopian Rural Socioeconomic Survey (ERSS) collected between 2011 and 2015. We find that farmers have an average TE score of 53%, implying a substantial potential for improvement in the production level. We further find that there is a positive and statistically significant spatial interdependence in TE levels between farms in neighboring communities. Input use, education, and other demographic characteristics are found to have significant positive direct and indirect effects. The findings suggest that policies and programs targeting productivity improvements in agriculture need to consider spatial spillover effects.
13 pages, In Ghana, groundwater, accessed through wells and boreholes, is generally unregulated and may be contaminated with pollutants including excess nitrates from agricultural chemical fertilizers. Yet, studies estimating how clean groundwater is valued are not available in Ghana. In addition, some research suggests that the pre-experiment information provided to survey respondents affects their valuation of an identical outcome. This paper estimates smallholder farmers’ preferences for groundwater protection using pre-experiment information focused on one of two outcomes: environment or health. The double-bounded contingent valuation (DBCV) approach is used to estimate willingness to pay (WTP) to protect groundwater quality. The estimation accounts for shift and anchoring effects, which are common issues with the DBCV method. The mean WTP from the health (environmental) information subsample is about US$19 (US$17) per acre, and the values are significantly different between the information conditions. The findings shed light on the importance of using precise information in eliciting WTP in a developing country setting.
15pgs, Research has suggested to not solely include cognitive processes but also affective processes in economic choice modeling. Studying Medjool dates, we conducted a laboratory experiment combining choice experiments and eye-tracking to account for cognitive processes. In addition, participants indicated their level of worry related to production practices to account for affective processes. Our results show that consumers worry more about pesticide residues than genetic modification in foods. They also pay more attention to labels related to these production practices compared to other labels; and the production practice labels received the highest willingness to pay (WTP). Results from linear regressions show that both cognitive and affective processes are associated with WTP. Especially in the full model for WTP for pesticide-free labeling an increase of attention by 1 s increases WTP on average by $0.10 and an increase of the level of worry from one category to the next increases WTP on average by $0.17. Overall, results show that including both cognitive and affective processes as explanatory variables is important when determining factors associated with WTP.
