Comparing Compliance Behaviour of Students and Farmers. An Extra-laboratory Experiment in the Context of Agri-environmental Nudges in Germany

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.     

The Impacts of Elicitation Context on Stated Preferences for Agricultural Landscapes

Statements of willingness to pay (WTP) have been shown to be dependent upon the framing of the hypothetical market. In this paper we investigate the effects of variations in the timing and location of choice experiment questions concerned with conservation of a UK national park, as research involving measurement of psychological well‐being suggests potential differences for the same individual dependent upon when and where preferences are elicited. We apply the choice experiment technique to the valuation of changes in upland agricultural and semi‐natural landscapes in the Peak District National Park in the UK, to investigate whether timing and location of elicitation (context) affects the value associated with changes in ecosystem services under different management regimes. Four treatments are employed – using the same sample of individuals answering the same choice scenarios – to measure WTP ex‐ante (off site), in situ (on site), and ex‐post at two different time intervals (off site). We show that our on‐site (in situ) treatment generates very different estimates of preferences than any of the off‐site treatments. That stated preferences associated with environmental goods are so context dependent may have implications for the use of stated preferences in policy analysis in terms of identifying how environmental policy is funded and the divergence in value attributed to sampling different populations.     

Farmers’ Preferences for Production Practices: A Choice Experiment Study in the Rhone River Delta

This article examines farmers' preferences for both cropping and management practices, which are of policy interest because of their environmental impact. We present the results of a choice experiment survey of all agricultural decision makers in the Camargue region. A latent class model identified three classes. The main class encompasses farmers complying with the norms of the Protected Geographical Indication (PGI): Riz de Camargue. We estimated the monetary value of each of the relevant agricultural practices. Our results make a strong case for differentiating incentives to encourage environmentally friendly practices and identify the diversity of values attached to the main components of rice cropping technology in the area. Estimates of the implicit prices indicate that most rice growers can be persuaded to adopt environmentally friendly practices. These findings could help in designing targeted contracts according to farmers' preferences, in line with conservation or environmental objectives.     

Contextual Framing and Monetary Incentives in Field Experiments on Risk Preferences: Evidence from German Farmers

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.     

Open access post-harvest grazing and farmers’ preferences for forage production incentives in Ethiopia

Open access post-harvest in situ grazing is widespread in areas where a mixed crop-livestock system is common. Where this is not discouraged, because livestock is important, conservation agriculture, which depends on keeping the soil surface covered with crop residues is unlikely to be implemented. One way to reduce open access grazing is through restricting communal grazing access to allow rights of exclusion, while simultaneously improving the production of livestock feeds. This paper analyzes farmers’ perceptions about post-harvest free grazing on agricultural lands and identifies incentives that motivate forage production, to help inform forage development and policy. We collected data from randomly selected farm households in the Nile Basin of Ethiopia and used a choice experiment method. We found that a majority of farmers would prefer post-harvest grazing restrictions to the existing reciprocal post-harvest grazing. Farmers also had strong preferences for forage production policy incentives, but the results reveal considerable preference heterogeneity. The study provides policy makers with needed information in formulating policy incentives for smallholder forage production systems.     

Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria

Given the marked heterogeneous conditions in smallholder agriculture in Sub-Saharan Africa, there is a growing policy interest in site-specific extension advice and the use of digital extension tools to provide site-specific information. Empirical ex-ante studies on the design of digital extension tools and their use are rare. Using data from a choice experiment in Nigeria, we elicit and analyze the preferences of extension agents for major design features of ICT-enabled decision support tools (DSTs) aimed at site-specific nutrient management extension advice. We estimate different models, including mixed logit, latent class and attribute non-attendance models. We find that extension agents are generally willing to use such DSTs and prefer a DST with a more user-friendly interface that requires less time to generate results. We also find that preferences are heterogeneous: some extension agents care more about the effectiveness-related features of DSTs, such as information accuracy and level of detail, while others prioritise practical features, such as tool platform, language and interface ease-of-use. Recognising and accommodating such preference differences may facilitate the adoption of DSTs by extension agents and thus enhance the scope for such tools to impact the agricultural production decisions of farmers.     

The influence of diversification on long-term viability of the agricultural sector

We estimate the impact of diversification on the performance of farm businesses using measures of economic viability among farms in Scotland and Sweden. We derive indicators of viability using national level accounting surveys for the period 2000–2012 and account for short-term and long-term effects within our estimates of viability.A higher proportion of Scottish farms emerge as being more short-term and long-term viable than Swedish farms. This could, we propose, be due to emphasis on enhancing farm viability within Scottish planning for rural development, compared to Sweden which emphasized productivity and environmental enhancement. Moreover, for both countries the trend in viability is relatively stable until 2007, when both panels begin to display the impact of policy and market change.Findings based on a multinomial logistic regression indicate that farms which run additional ventures outside traditional agriculture, and are diversified in the sense that they obtain revenue from two or more agricultural enterprises, are more viable compared to specialized agricultural units. Other factors which affect viability were found to be structural, biophysical and institutional, specifically the reform of the Common Agricultural Policy (CAP) in 2003. However the significance and magnitude of these effects differ across the two countries. Consequently, these results seem to imply the importance of emphasizing non-specialized agricultural activities within rural development policy and, moreover, informs the rationale behind proposed redistributions of CAP payments.     

Choice experiment,multiple programmes contingent valuation and landscape preferences: How can we support the land use decision making process?

The promotion of cost–benefit analysis for social and environmental policy choices is much debated. Then, the conception of a valuation method for the non-market benefit of these policies is still of a main research interest. Among direct valuation methods, the choice experiment method (CEM) becomes a highly attractive valuation procedure, in giving at the same time the economic value of the impacts of the different components of the policy as well as the global impact of a policy package. However, the main-effect designed protocol aiming to limit the cognitive burden of scenarios’ evaluation disregards the important question of the existence of substitution or complementary relation between these programmes for their main beneficiaries. Furthermore, the independent valuation and summation strategy developed in CEM opens to overvaluation or under valuation of the willingness to pay values. The aim of this article is to conduct testing of the additivity bias with CEM results. The distribution of the willingness to pay values for possible combinations of landscape programmes aiming to maintain two agricultural landscape attributes as well as one moorland attribute inferred from the earlier CEM survey is compared to results obtained with the sequential contingent valuation procedure for multidimensional policy suggested by Hoehn (1991). Our empirical results suggest that the additivity bias is not statistically significant in our case, even if specific relation between landscape attributes due to what we call the composition effect is of concern for the population we interviewed. Furthermore, landscape preferences derived from our empirical investigation support the need for more integration of agricultural issues with the local land-use issues.     

How Large is Congressional Dependence in Agriculture? Bayesian Inference about ‘Scale’ and ‘Scope’ in Measuring a Spatial Externality

The political economy literature on agriculture emphasises influence over political outcomes via lobbying conduits in general, political action committee contributions in particular, and the pervasive view that political preferences with respect to agricultural issues are inherently geographic. In this context, ‘interdependence’ in Congressional vote behaviour manifests itself in two dimensions. One dimension is the intensity by which neighbouring vote propensities influence one another, and the second is the geographic extent of voter influence. We estimate these facets of dependence using data on a Congressional vote on the 2001 Farm Bill using routine Markov chain Monte‐Carlo procedures and Bayesian model averaging, in particular. In so doing, we develop a novel procedure to examine both the reliability and the consequences of different model representations for measuring both the ‘scale’ and the ‘scope’ of spatial (geographic) co‐relations in voting behaviour.     

Eliciting farmers’ subjective probabilities,risk, and uncertainty preferences using contextualized field experiments

Subjective probabilities as well as risk and uncertainty preferences influence many farmers’ decisions. Few contextualized field experiments were recently conducted to elicit farmers’ risk preferences. Contextualized field experiments use nonabstract framings that are familiar to subjects. Despite adding of context can undermine internal validity, such experiments are increasingly used in applied economics. Contextualized field experiments were never used to elicit farmers’ uncertainty preferences. This paper aims to fill this gap in the literature. This required the development of a new approach in which uncertainty preferences were estimated while controlling for farmers’ subjective probabilities regarding future agricultural outcomes. The experiment involves Scottish farmers’ decisions to plant traditional or new potato varieties. Monetary incentives and incentive compatible elicitation techniques, such as quadratic scoring rules and certainty equivalent multiple price lists, were used. Results from the estimation of Fechner models using maximum likelihood estimation procedures show that failure to control for subjective probabilities generates an underestimation of estimated uncertainty preferences. Farmers are more averse to uncertainty than risk, and their choices are noisier under uncertainty than risk.     

Managing groundwater in a mining region: an opportunity to compare best‐worst and referendum data

In nonmarket valuation, practitioners must choose a format for the valuation questions. A common approach in discrete choice experiments is the ‘pick‐one’ format, often with two alternative policy proposals and a status quo from which the respondent selects. Other proposed formats, include best‐worst elicitation, where respondents are asked to indicate their most and least favoured alternative from a set. Although best‐worst formats can offer efficiency in data collection, they can also lead to responses that are difficult to reconcile with neoclassical welfare estimation. The current article explores methodological issues surrounding the use of pick‐one versus best‐worst data for nonmarket valuation, focusing on framing and status quo effects that may occur within three‐alternative discrete choice experiments. We illustrate these issues using a case study of surplus groundwater use from Western Australian mining. Results identify concerns that may render best‐worst data unsuitable for welfare estimation, including a prevalence of serial choices in which the status quo is universally chosen as the worst alternative, rendering part of the choice process deterministic. Asymmetry of preferences and serial choices can be obscured when models are estimated using ‘naively’ pooled best‐worst data. Results suggest that caution is warranted when using best‐worst data for valuation, even when pooled results appear satisfactory.     

Fishermen’s competitiveness and labour market performance: Evidence from shrimpers in Bangladesh

We conduct an experiment to determine competitiveness among shrimpers who engage in collecting shrimp seeds in the southwestern coastal region of Bangladesh. We then examine how competitiveness affects the labour supply decisions and labour market performance of these shrimpers. Our results show that shrimpers who prefer competition are more productive than shrimpers who do not prefer competition. Competitive shrimpers secure better prices and earn higher incomes selling their catches. We estimate that their wage elasticity of participation ranges from 0.4 to 0.5, which is consistent with preferences under neoclassical assumptions. Competitive shrimpers have a slightly greater wage elasticity than non-competitive shrimpers, suggesting that they might be more responsive to expected earnings. Our results have important policy implications for the efficient management of common pool resources.     

农地流转的政策议程与媒体议程研究——基于1978—2018年报道的实证分析

[目的]改革开放以来,农地流转作为中央农业农村改革的重要问题,受到政府当局和媒体的广泛关注,关于农地流转的政策议程和媒体议程是如何演进的?他们两者的关系又怎样?弄清这些问题有利于正确定位媒体作用,促进农地流转政策设置、实施的科学合理性。[方法]文章基于1978—2018年全国农地流转政策数量和《人民日报》报道数量,首先梳理了农地流转政策议程、媒体议程的演变,进一步通过格兰杰因果方法对两个议程间的互动关系做出实证检验。[结果]农地流转的政策议程和媒体议程互为影响,其中媒体议程无论是长期还是短期都能够对政策议程产生显著性影响,而政策议程仅在中长期显著影响媒体议程。[结论]政府应与媒体的合作积极引导媒体规范化以发挥宣传、监督作用,加强媒体对特定农地流转政策的跟进,并通过媒体的“中介”作用促进农地流转政策设置及实施的科学合理性。     

Why do we need to integrate farmer decision making and wildlife models for policy evaluation?

Environmental and agricultural policy instruments cause changes in land-use which in turn affect habitat quality and availability for a range of species. These policies often have wildlife or biodiversity goals, but in many cases they are ineffective. The low effectiveness and the emergence of unwanted side effects of environmental and agricultural policies are caused by over-simplistic assumptions in the design of policy instruments as well as difficulties with predicting behaviours of policy subjects. When considering wildlife in agricultural landscapes, policy's performance depends both on human (farmers) actions, which the policies aim to affect, and wildlife responses to land-use and management changes imposed by farmers. Thus, in order to design effective agri-environmental policies, detailed ex-ante assessments of both of these aspects are necessary. Due to the restrictive assumptions and technical limitations, traditional agricultural economic and ecological models fall short in terms of predictions of impacts of agri-environmental measures. The feedback situation between policy, human behaviour and ecological systems behaviour can confound these approaches, which do not take systems complexity into account. Therefore, a solution that integrates both feedback interactions and the differing scales at which these interactions take place is needed. For this, we suggest developing integrated policy assessment tools comprising of simulated farmer decision making, on-farm land-use and wildlife responses in the form of spatially explicit, dynamically connected agent-based models. Although complex and necessitating true inter-disciplinarity, these approaches have matured to the point where this endeavour is now feasible.     

Pesticides,Preference Heterogeneity and Environmental Taxes

In this paper we present results from two choice experiments (CE), designed to take account of the different negative externalities associated with pesticide use in agricultural production. For cereal production, the most probable impact of pesticide use is a reduction in environmental quality. For fruit and vegetable production, the negative externality is on consumer health. Using latent class models we find evidence of the presence of preference heterogeneity in addition to reasonably high willingness to pay (WTP) estimates for a reduction in the use of pesticides for both environmental quality and consumer health. To place our WTP estimates in a policy context we convert them into an equivalent pesticide tax by type of externality. Our tax estimates suggest that pesticide taxes based on the primary externality resulting from a particular mode of agricultural production are a credible policy option that warrants further consideration.     

Government Expenditures,Health Outcomes and Marginal Productivity of Agricultural Inputs: The Case of Tanzania

This paper examines the impact of health expenditures on agricultural labour productivity in order to inform the necessary policy decisions about targeting scarce public resources towards their most effective uses. We link health sector expenditures in rural Tanzania to health outcomes and agricultural labour productivity using data from the 2008 Household Budget Survey (10,975 households) and the 2007/08 Agricultural Census (52,594 households) across 113 districts in Tanzania. The results indicate that the marginal productivity of labour as well as land and fertilisers respond significantly to health expenditures. However, the magnitude of the response varies across types of disease, categories of expenditures and agricultural inputs. These findings suggest both the need and scope for targeting public expenditures in the health sector to achieve better agricultural growth outcomes.     

Models of Site‐choice for Walks in Rural Ireland: Exploring Cost Heterogeneity

Farmland can confer significant public good benefits to society aside from its role in agricultural production. In this article, we investigate preferences of rural residents for the use of farmland as a recreational resource. In particular, we use a choice experiment to determine preferences for the development of farmland walking trails. Our modelling approach uses a series of mixed logit models to assess the impact of alternative distributional assumptions for the cost coefficient on the welfare estimates associated with the provision of the trails. Our results reveal that using a mixture of discrete and continuous distributions to represent cost heterogeneity leads to a better model fit and lower welfare estimates. Our results further reveal that Irish rural residents show positive preferences for the development of farmland walking trails in the Irish countryside.     

基于选择实验法的农户秸秆资源化利用政策偏好研究

目的 秸秆资源化利用是促进农业经济增长和缓解环境污染的重要措施。方法 文章基于选择实验法和山东省978个农户调研数据,对农户秸秆资源化利用政策偏好问题进行研究。结果 （1）随着农户经营规模增加,其对秸秆进行资源化利用意愿将不断增强,小规模、中规模和大规模农户选择“愿意”的比重分别为54.9%、77.7%和82.8%。（2）秸秆禁烧政策、农户直接补贴、技术培训和完善市场等政策能显著提高农户秸秆资源化利用率。（3）是否参加合作社、便利性认知、污染认知、政策认知和资源化利用意愿对农户秸秆处理行为有显著影响。（4）不同规模农户对秸秆资源化利用政策偏好优先序存在较大差异。其中,小规模农户对农户直接补贴的接受意愿最高,其次为技术培训;中规模农户对农机购置补贴的接受意愿最高,其次为技术培训;大规模农户对完善市场的接受意愿最高,其次为农机购置补贴。结论 要提升农户秸秆资源化利用积极性,必须制定多元化、综合性的秸秆资源化利用政策,同时强化对农户的技术培训和设备支持。