Labeling Context and Reference Point Effects in Models of Food Attribute Demand

There is considerable interest in the effect of labels on food product demand. Labeling statements may convey new information about attributes and place consumers in different choice contexts; consumers' assessment of information in labels may be affected by reference points. We examine labeling context relating to genetically modified (GM) food as a factor in the stochastic component of a random utility model and assess reference points over a set of observable characteristics of consumers. We find that labeling context effects are present, although relatively small, while reference dependence is a very important factor that varies over observable characteristics of the sampled consumers.     

Towards the development of a transferable set of value estimates for environmental attributes

Estimates of environmental values are frequently required as inputs to cost-benefit analyses when evaluating alternative options for managing natural resources. One strategy to avoid the high cost of conducting empirical work when non-market values are involved is to use value estimates from an existing source study and to transfer them to the target context of interest (a practice known as benefit transfer). However, the transfer of values is subject to a host of potential errors and could lead to significant overestimation or underestimation of welfare change. The present paper reports the results of a choice modelling study in which household values for the impacts of land and water degradation in Australia are estimated. A key objective of the present study was to test the validity of transferring estimates derived in a national context to different regional contexts. On the basis of these test results, inferences are made about the impact that differing contexts have on value estimates. The scale of value differences across the different contexts provides a guide for calibrating benefit transfer estimates.     

Evaluating the Market and Welfare Impacts of Agricultural Policies in Developed Countries: Comparison of Partial and General Equilibrium Measures

We revisit the question of choosing partial equilibrium or general equilibrium modeling in applied policy analysis in the context of evaluating the effects of a complete phase-out of the Common Agricultural Policy (CAP) of the European Union. We compare the results of three models—two three-sector general equilibrium models (one with an additional major distortion in the nonagricultural sector) and a two-sector partial equilibrium model. We find that the market effects of a complete phase-out of the CAP are quite comparable across these models. On the other hand, the measured welfare impacts may depend on the modeling choice.     

Innovation context and technology traits explain heterogeneity across studies of agricultural technology adoption: A meta-analysis

Despite a wealth of case-specific insights from agricultural adoption studies, we lack systematic evidence on which technology characteristics matter for adoption across different innovation contexts. We synthesise the results of 304 quantitative farm-level adoption studies for a wide range of agricultural innovations across more than 60 countries using multi-level meta regression. Our results show that land, capital and knowhow are generally more important when an innovation uses the respective factor intensively, but this effect is reduced in contexts where the factor is abundant. Our findings have implications for the design of rural development and agricultural extension programmes. Both should consider the interplay of geographic context and innovation characteristics to develop more effective sustainable intensification strategies.     

Does Choice Context Affect the Results from Incentive‐Compatible Experiments? The Case of Non‐GM and Country‐of‐Origin Premia in Canola Oil

We seek to design and implement a WTP elicitation instrument closely resembling an actual grocery shopping experience. An incentive-compatible choice experiment is used to elicit values for a non-GM attribute and a country-of-origin attribute of Canola oil. The choice context is varied to assess whether revealed-preference choice experiments are affected by choice variety. A median premium for non-GM Canola oil is found to approximate C$0.45 or C$0.62/liter according to the choice variety context; different country-of-origin effects are also found as choice context varies. Hypotheses as to why these significant effects of choice contexts occur are suggested.
Nous cherchons à concevoir et à mettre en application un instrument de révélation de la VDP qui ressemble étroitement aux choix que fait un consommateur lorsqu'il effectue son marché. Nous avons utilisé une méthode expérimentale compatible avec les incitations des participants afin de découvrir la valeur accordée à deux caractéristiques de l'huile de canola: non génétiquement modifiée et étiquetée selon le pays d'origine. La liste des choix est variée afin d'évaluer si les préférences révélées sont influencées par la gamme de choix. La prime médiane de l'huile de canola non génétiquement modifiée est d'environ 0,45 $CAN ou 0,62 $CAN le litre selon les choix proposés. Différents pays d'origine figurent aussi dans cette liste de choix. Nous avons formulé des hypothèses quant aux raisons pour lesquelles la gamme de choix a des effets importants.     

Replication and translation of co-innovation: The influence of institutional context in large international participatory research projects

Stakeholder involvement in research processes is widely seen as essential to enhance the applicability of research. A common conclusion in the extensive body of literature on participatory and transdisciplinary research is the importance of the institutional context for understanding the dynamics and effectiveness of participatory projects. The role of institutional context has become increasingly important in view of large international research projects implementing shared participatory methodologies across countries (for example within Horizon 2020 and within CGIAR programmes), which each have different institutional contexts. Despite the generally accepted importance of the institutional context for understanding the unfolding of participatory and transdisciplinary research projects, surprisingly little research has actually looked into its role in greater detail. This paper aims to fill this gap in the literature by studying how a set of participatory principles and methods in a European project on integrated pest management (denoted as co-innovation in the project under study) was applied by researchers and advisers operating in a single international research project under the institutional conditions of four countries. The principal finding of this study is that, although constraints and enablers of participatory research at the personal level (e.g. researcher identity) were similar across the studied countries, research organisation- and community-based constraints and enablers differed, as well as those at the level of the overall innovation system. The institutions at different levels interact and create country-specific histories and path-dependencies, which lead to different degrees of propensity and preparedness, and hence different starting positions for participatory approaches. Consequently, when participatory research methods and approaches are applied in different contexts following a one-size-fits-all approach they may be less effective if not translated to institutional conditions at different levels. The study suggests that large international participatory research projects make provision in their design for careful selection of project team individuals, the composition of teams, and pay attention to the room for manoeuvre that the project, institute and national contexts provide for participatory research. To support the adjustment of participatory approaches to local institutional conditions, large international projects would benefit from fostering learning spaces that enable reflection on translation to local contexts and are capable of connecting to a wider network of decision makers and influencers that can facilitate institutional change in organisations and innovation systems.     

Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes

We present a new Bayesian econometric specification for a hypothetical Discrete Choice Experiment (DCE) incorporating respondent ranking information about attribute importance. Our results indicate that a DCE debriefing question that asks respondents to rank the importance of attributes helps to explain the resulting choices. We also examine how mode of survey delivery (online and mail) impacts model performance, finding that results are not substantively affected by the mode of survey delivery. We conclude that the ranking data are a complementary source of information about respondent utility functions within hypothetical DCEs.     

On the need for national land administration infrastructures

Many nations lack a coherent national approach to land administration. Instead, land information and processes are frequently disaggregated across states, provinces, cantons, counties, or municipalities. This is particularly the case in federated countries. The growing body of land administration theory often assumes or prescribes the need for national systems; however, the justification for this approach requires further explanation. Without justification, nations that maintain disaggregated systems lack the impetus to unlock the opportunities veiled within their disparate land administration systems. Moreover, a nation's ability to respond effectively to emerging national and global-scale issues such as climate-change is greatly impeded. This paper aims to explain the need for national land administration infrastructures. Qualitative case studies of the Australian context and the method of triangulation inform the justification. The research reveals most drivers can be classified into six overarching subsets: adherence to international standards by national governments, better federal or central governance, improved shared governance, scale of economies for lower levels of government, opportunities and savings for business, and social inclusion for citizens. Unfortunately, specific drivers are found to be complex and changeable, as political, scientific and environmental debates raise policy issues: there is no single solution. As an alternative, nations must seize on the specific drivers relevant to their context. They must employ them to transform disparate land administration systems into multi-purpose national land administration infrastructures that deliver benefits to all stakeholder groups.     

There is an I in nature: The crucial role of the self in nature conservation

In this paper we analyze the social-psychological determinants of private nature conservation. As a theoretical framework we use the Theory of Planned Behavior, to which the concepts connectedness to nature, self-identity, and place attachment were added. 94 landowners participated in our survey. Results of this pilot study show that perceived behavioral control, self-identity and connectedness to nature are the key factors influencing the intention to conserve. The more farmers feel that they are capable of conserving nature on their farm, the more they see themselves as conservationists, and the more they feel connected to nature, the more likely they are to intend to conserve. An important finding is that self-identity mediates the relation between CNS and conservation intentions. This implies that with an increased connectedness to nature, people come to see themselves as conservationists and this in turn influences their intentions. Of course, these results need to be replicated and validated across different contexts. We discuss the implications of this study for future research and policy.     

An Analysis of the Key Factors Influencing Farmer’s Choice of Crop,Kibamba Ward,Tanzania

The need for further research into indigenous knowledge, in the context of agrarian development strategies, led to this investigation of one aspect of local knowedge; that of crop choice. Through the use of point score analysis, research was conducted in the Kibamba Ward located in the peri‐urban zone of Dar es Salaam, Tanzania. The main aims were to investigate the key factors underlying farmers’ choice of crop as well as to assess the differences in the decision‐making process between commercial and subsistence farmers. Vegetable cultivation was observed as the main practice, influenced particularly by the physical environment, the availability of machinery as well as certain economic factors. A significant difference in decision making among subsistence and commercial farmers was found. Subsistence farmers placed greater emphasis on the taste of the crop, whereas commercial farmers were predictably more influenced by the market. In addition, this study highlights several practical areas of concern regarding water resources, basic machinery and the lack of formal extension provision in the area. Although the complexity of crop choice is portrayed, a need for future research in different geographical contexts is noted.     

Testing for differences in benefit transfer values between state and regional frameworks

Policy makers are often interested in transferring non-market estimates of environmental values from a 'source' study to predict economic values at a 'target' site. While most applications of the benefit transfer process involve an opportunistic search for suitable source studies, there are some examples available of more systematic approaches to developing a framework of values for benefit transfer processes. A key issue in developing such a framework is to deal with adjustment factors, where value estimates might vary systematically according to the context of the trade-offs. Previous research has identified that large differences in scope, such as between national and regional contexts, do affect values and hence benefit transfer. The research reported in this paper indicates that such differences are not significant for smaller scope variations, such as between state and regional contexts. These results provide some promise that systematic databases for benefit transfer can be developed.     

Linking Consumers’ Food Choice Motives to their Preferences for Insect‐based Food Products: An Application of Integrated Choice and Latent Variable Model in an African Context

Consumers’ attitudes, perceptions, personalities and motives play important roles in shaping their food choices. These factors are not fully observed by analysts, so they should be treated as latent variables. A number of economic studies treat such variables as direct measures of consumers’ food choice behaviour, even though this might introduce measurement error and endogeneity bias. We investigate the latent link between consumers’ preferences and food choice motives (FCMs) in an African context. We use an integrated choice and latent variable (ICLV) model specification for data analysis to recognise the latent nature of the FCMs and address the measurement and bias problems. The data originate from an incentivised discrete choice experiment conducted in Kenya to elicit consumers’ preferences for insect‐based foods. Our findings show that consumers’ preferences and choices are influenced by their latent motivational orientation. The results illustrate the benefit of the ICLV approach in accounting for consumers’ latent preference constructs in food choice and valuation research.     

Applying the dissonance‐minimising format to value cultural heritage in developing countries*

We adapt the dissonance‐minimising (DM) format proposed by Blamey et al. [Land Economics, 75 (1999) 126] in a dichotomous choice contingent valuation survey to estimate the economic benefits of preserving a cultural heritage site in Vietnam. We find that the DM format can be successfully applied to avoid biases because of yea‐saying in a developing country context.     

Effects of alternative elicitation formats in discrete choice experiments*

An elicitation format prevalently applied in discrete choice experiments (DCE) is to offer each respondent a sequence of choice tasks containing more than two choice options. However, empirical evidence indicates that repeated choice tasks influence choice outcomes through order effects. The study reported in this article employs a split sample approach based on field surveys to expand the research on effects of repeated‐binary DCE elicitation formats. A single‐binary elicitation format is used as the baseline. Our results indicate that choice outcomes may vary across the single‐binary and repeated‐binary elicitation formats. The choice between the two elicitation formats may imply a trade‐off between decreased choice precision in the single‐binary and order effects that may be explained by strategic misrepresentation of preferences, cost uncertainty effects and reference effects in the repeated‐binary elicitation format.     

Cereal price shocks and volatility in sub‐Saharan Africa: what really matters for farmers’ welfare?

The lack of information as well as some misperceptions about the distinction between the welfare consequences of higher versus more volatile cereal prices has limited the effectiveness of policy interventions during the recent food crises in many developing countries. This article proposes an integrated empirical strategy to investigate and compare the different effects of these two phenomena and tests it using nationally representative household survey data from four sub‐Saharan countries. Results show that the negative impacts of a cereal price increase substantially outweigh the effects of price volatility on household welfare across the entire income distribution. The amplitude and the distribution of those effects depend heavily on specific factors, such as: the weight of food consumption over total expenditure; the budget share devoted to cereals; the substitution effect among food groups; and the relative number of net sellers versus net buyers accessing the market. We also show that volatility mainly harms the poorest quintile of the population.     

Efficiency,total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level

For global sustainability it is imperative to find a balance across the three main components of sustainable development which are the economic, social and environmental aspects. However, it is not a simple task to make these contexts compatible, usually because of economic pressures which transform them into opposed objectives. This framework occurs across several dimensions within society and the economy, where the agricultural sector is not an exception. The objective of this study is to analyse the efficiency, total factor productivity and returns to scale in an economic, social and environmental perspective in farms of the European Union (EU) regions through Data Envelopment Analysis (DEA) approaches. The research concerning the returns to scale will be complemented by the Keynesian models. Data obtained from the European Union Farm Accountancy Data Network (FADN) was considered. The results show that in maintaining or improving the levels of production in farms, it is often possible to greatly reduce, in some cases, the consumption of fertilizers and crop protection products. On the other hand, from a social perspective, some European Union regions are more generous in the salaries paid to farming workers and absorb more labour, which in a European context of unemployment, may be an interesting way to realistically look at and be engaged in the agricultural planning in a sustainable way, founding a balanced trade-off among the economic, social and environmental dimensions.     

Socio-environmental drivers of forest change in rural Uganda

Tropical deforestation and forest degradation are among the top global threats to biodiversity, carbon storage and rural livelihoods, but the social processes underlying these changes remain difficult to observe across large spatial scales and in data-poor contexts such as tropical Africa. We link longitudinal survey data from agricultural households in rural Uganda to high-resolution satellite data on forest cover change, and use this linked dataset to investigate processes at two scales: tree planting and harvesting at the parcel scale, and deforestation and reforestation at the community scale. This multi-scale analysis reveals that tree planting is more common on parcels with secure tenure, by educated heads and in isolated communities. Deforestation is highest in land-rich, agrarian communities with low population density and high baseline forest cover. These results provide explicit evidence that the social drivers of forest change in Uganda vary across scales, indicating a need for additional multi-scale studies.     

Going Beyond Impact Factors: A Survey‐based Journal Ranking by Agricultural Economists

A consistent and comprehensive ranking of journals relevant for agricultural economists cannot rely on impact factors for at least two major reasons: (i) the scientific database by Thomson Reuters, on which the standard impact factor is based, includes only a very limited number of relevant journals; (ii) the standard impact factor cannot be compared across research fields of different sizes. Survey‐based journal rankings may overcome these problems. We report on such a survey‐based ranking initiated by the Agricultural Economics Associations of Germany and Austria. Results of the ranking and a classification of journals, i.e. a rating, are provided for 160 selected journals. Scientific quality is assessed by an index based on the researchers’ perception of the quality standards of each journal and of the quality of its published articles. The survey‐based ranking allows a much more comprehensive and consistent ranking than the impact factor, as specific agricultural economics journals can be directly compared with neighbouring economic and interdisciplinary journals to which agricultural economists submit their work. The low impact factors of core agricultural economics journals are put into perspective. The scientific quality of the top agricultural economics journals is assessed as being rather high and above most of the relevant interdisciplinary journals from agricultural and food sciences that are typically characterised by higher impact factors. Agricultural economists’ perceptions on the scientific quality of the journals vary more across journals than perceptions of their relevance.     

Strategic Marketing and the Dynamics of Food Consumption

Patterns of food consumption shift as countries develop, incomes increase, and lifestyles change. Strategic marketing in this dynamic environment involves aiming at moving targets. Fortunately, some of these changes in demand for food products can be anticipated by understanding those that have already occurred. We consider changes in consumption over time for selected nations as they have developed and also compare a cross section of countries at different levels of development. Seeking and retaining markets in high-, middle-, or low-income countries requires an appreciation of the stages, dynamics, and nature of heir economic development and the implications for food demand.     

Gathering plants and fungi along the urban-rural gradient: Uncovering differences in the attitudes and practices among urban,suburban, and rural landowners

Gathering non-timber forest products (NTFPs) in cities and rural areas has received growing attention in research and news media. Yet little is known about the frequency of these activities and how attitudes about and the practice of gathering differ across urban, suburban, and rural areas. We report on findings from a mail survey of landowners across two urban-rural gradients in central and eastern Massachusetts, USA. The survey queried (a) attitudes towards gathering and a variety of other environmental benefits, (b) the practice of gathering, and (c) where gatherers harvest species. Survey responses reveal that gathering is not a controversial use of land and is a relatively widespread activity across urban, suburban, and rural areas. Further, the results show that gathering occurs on a mix of private and public lands and that there are important differences in the practice of gathering among individuals living in urban, suburban, and rural areas. Our findings have implications for understanding the social and ecological dynamics of gathering and suggest that more research on gathering and other natural resource management issues is needed, particularly in (sub)urban areas.