Information processing strategies and framing effects in developing country choice experiments: results from rice farmers in India

This study explores the effect of various information processing strategies specifically related to attribute nonattendance in stated choice experiments. Our approach includes two forms of stated choice task nonattendance, each derived from separately framed questions asked immediately following the completion of each choice task. We also evaluate a measure of inferred serial nonattendance based on the posterior distributions of random coefficient estimates. We find that choice task nonattendance question framing statistically impacts marginal utility coefficients and, to a lesser degree, willingness‐to‐pay estimates. While direct questions addressing attribute attendance or nonattendance affect these estimates, inferred indicators of serial nonattendance suggest that many attributes are not likely ignored as often as respondents may indicate. Further research is needed to assess inferred versus stated approaches to modeling respondent information processing strategies.     

Determinants of farmers' preference for alternative animal health service providers in Kenya: a proportional hazard application

One hundred and eighty farmers in the semiarid Makueni district, Kenya, were surveyed using a structured questionnaire. The objective was to assess factors that influence farmers' preference for alternative veterinary service providers following the liberalization of veterinary services. A proportional hazard model was fitted to the data because of its ability to accommodate simultaneously the attributes of both the chooser and the choice. Of the three service providers considered in the study, community‐based animal health workers were the most preferred followed by veterinary surgeons and animal health assistants. Farmers' age and education level were inversely but significantly related to the probability of choosing any of the three service providers. Distance to the preferred service provider was the main choice‐specific attribute with a significant impact on the choice probability. A high preference for community‐based animal health workers was noted suggesting the possibility of poorly trained animal health workers dominating the veterinary services market in remote areas of Kenya. Efforts geared toward the legalization of community‐based animal health workers in Kenya and elsewhere in the developing countries should first address the constraints that hinder the penetration of professional veterinary service providers in remote areas.     

Comparing Serial,and Choice Task Stated and Inferred Attribute Non‐Attendance Methods in Food Choice Experiments

A number of choice experiment (CE) studies have shown that survey respondents employ heuristics such as attribute non‐attendance (ANA) while evaluating food products. This paper addresses a set of related methodological questions using empirical consumer data from a CE on poultry meat with sustainability labels. First, it assesses whether there are differences in terms of marginal willingness to pay estimates between the two most common ways of collecting stated ANA (serial and choice task level). Second, it validates the self‐reported ANA behaviour across both approaches. Third, it explores the concordance of stated methods with that of the inferred method. Results show that WTP estimates from serial‐level data differ from those from choice task‐level data. Also, self‐reported measures on choice task ANA are found to be more congruent with model estimates than those for serial ANA, as well as with inferred ANA.     

Land‐use change trajectories up to 2050: insights from a global agro‐economic model comparison

Changes in agricultural land use have important implications for environmental services. Previous studies of agricultural land‐use futures have been published indicating large uncertainty due to different model assumptions and methodologies. In this article we present a first comprehensive comparison of global agro‐economic models that have harmonized drivers of population, GDP, and biophysical yields. The comparison allows us to ask two research questions: (1) How much cropland will be used under different socioeconomic and climate change scenarios? (2) How can differences in model results be explained? The comparison includes four partial and six general equilibrium models that differ in how they model land supply and amount of potentially available land. We analyze results of two different socioeconomic scenarios and three climate scenarios (one with constant climate). Most models (7 out of 10) project an increase of cropland of 10–25% by 2050 compared to 2005 (under constant climate), but one model projects a decrease. Pasture land expands in some models, which increase the treat on natural vegetation further. Across all models most of the cropland expansion takes place in South America and sub‐Saharan Africa. In general, the strongest differences in model results are related to differences in the costs of land expansion, the endogenous productivity responses, and the assumptions about potential cropland.     

A hedonic approach to estimating the supply of variety attributes of a subsistence crop

The article extends the household hedonic model by estimating a supply function for variety attributes of a subsistence crop in a developing economy. The model is applied to bananas in Uganda, making use of disaggregated data on variety‐specific farm‐gate banana bunch prices and attributes, while accounting for the semisubsistence nature of banana‐producing households. The article is motivated by the need to understand the attribute trade‐offs made by farmers at the farm gate in light of targeted variety improvement efforts and their impact on banana markets. Whether variety improvement will pay off at the market level requires a more detailed examination of the relative worth of banana attributes within the structure of consumer preferences and production technologies related to bananas in Uganda. The results confirm the importance of consumption and production attributes in selling behavior. Quality and bunch size are found to be complements at the farm gate. Banana bunches that capture a premium at the market will be those that provide bundles of desirable consumption and production attributes simultaneously. By revealing important price–attribute relationships, the findings provide guidance for crop improvement efforts and diversification choices, while taking into account implicit market signals for output attributes.     

Attribute Specific Impacts of Stated Non‐Attendance in Choice Experiments

In this paper, we generalise existing approaches to the treatment of stated attribute non‐attendance data in discrete choice experiments by allowing attribute specific impacts. We implement this approach by employing an extended hierarchical Bayes logit model specification. To illustrate this approach, we consider data collected to examine Indian consumers’ preferences for traditional aromatic rice varieties. Our results regarding stated attribute non‐attendance reveal that, our new approach shrinks marginal utilities of non‐attenders substantially compared to stated attenders, with significant differences in the shrinkage between some of the attributes. In addition, our results reveal the way in which non‐attendance of attributes interact with each other and the impact that this has on the distribution of willingness to pay estimates.     

Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri-environmental schemes

Attribute nonattendance (ANA) has received very little attention in the context of willingness to accept (WTA), although an increasing number of studies analyze the preferences of ecosystem service providers toward incentive-based schemes. We add to the understanding of ANA behavior by analyzing stated and inferred ANA in a choice experiment investigating farmers’ WTA for participating in agri-environmental schemes (AES) in southern Spain. We use mixed logit models, following Hess and Hensher for the inferred ANA approach. Evidence is found of ANA behavior for both stated and inferred approaches, with models accounting for ANA clearly outperforming those that do not account for it; however, we produce no conclusive results as to which ANA approach is best. WTA estimates are only moderately affected, which to some extent is consistent with the low level of non-attendance found for the monetary attribute. Stated and inferred approaches show very similar WTA estimates. Additionally, we investigate sources of observed heterogeneity related to ANA behavior by using a sequence of bivariate probit models for each attribute. Overall, our results hint at a positive relationship between ease of scheme adoption and nonattendance to attributes. However, further research is still needed in this field.     

Spatial and Scope Effects: Valuations of Coastal Management Practices

We explore how values for environmental management in the Kimberley region of Australia respond to changes in spatial scale and attribute scope. A discrete choice experiment was conducted that included the impacts of management on marine no‐take areas, Aboriginal rangers, recreational facilities, and coastal development. A split sample single‐site design was used to estimate values for the Kimberley region as a whole, and for two separate smaller sub‐regions, allowing us to test for spatial preference heterogeneity. Management outcomes for different regions were displayed on a map to show respondents explicitly where outcomes would occur. We show that willingness to pay results are similar between the two smaller sub‐regions, and that willingness to pay for the attributes increased when management occurred at the larger geographical scale. However, respondents were somewhat insensitive to changes in the scope of the two cardinal attributes: area of no‐take and number of rangers. We discuss the implications of this spatial and scope insensitivity for choice experiment research.     

Balancing productivity and trade objectives in a competing environment: should India commercialize GM rice with or without China?

India is considering approving genetically modified (GM) rice, but it fears losing rice exports to sensitive countries with import regulations on GM food, and may wait for China to lead the way. Using a multiregion, computable general equilibrium (CGE) model, we simulate the economic effects of introducing GM rice in India with or without China in the presence of labeling and import approval regulations of GM food in GM sensitive importing countries. We find that the welfare gains with GM rice in India would largely exceed any potential export loss, and that the segregation of non-GM rice could help reduce these minor losses. We also find no significant first mover advantage for India or China on GM rice. The opportunity cost of segregation of non-GM rice is much larger for sensitive importers than for India, which suggests that these importers would have the incentive to pay for the cost of segregation.     

Farmers’ Willingness to Participate in Payment‐for‐Environmental‐Services Programmes

Understanding farmers’ willingness to participate in agricultural payment‐for‐environmental‐services (PES) programmes is an essential precondition for designing effective and efficient programmes. Willingness to participate is typically examined via stated preference surveys using the standard hurdle model for whether and how much to participate. Among respondents who decline to participate, such analyses cannot distinguish between respondents who declined due to the payment level and those who were not interested at all. This paper applies a double hurdle model to incorporate a prior condition for whether a respondent is even willing to consider participating in the PES market. The model uses a unique stated preference survey permitting separation of the consideration and enrolment decisions of 1,700 farmers in Michigan, USA. The first hurdle probit model suggests that farmers’ willingness to consider PES chiefly depends on farm and farmer characteristics, while the second hurdle tobit model shows that decisions on whether and how much to enrol depend more on the payment offer and marginal benefit–cost criteria. This study provides fresh insights on facilitating farmer participation in PES programmes using tiered strategies that differ in costs of programme payment and administration.     

A Conjoint/Logit Analysis of Consumers’ Responses to Genetically Modified Tofu in Taiwan

We use data collected from a consumer survey of face‐to‐face interviews to determine consumer demand for genetically modified (GM) tofu attributes in Taiwan. Conjoint analysis using logit models reveals that, on average, brand is the most important attribute in terms of influence on consumers’ preferences, followed by price, with GM content having the least influence. However, the analysis also reveals three distinct market segments for tofu. Apart from the largest segment (which reflects the average lack of concern about GM food), the remaining two segments are split according to their preference or antipathy towards GM tofu. This result suggests that GM labelling is helpful to Taiwanese tofu consumers.     

Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach

This article attempts to integrate the production‐ and the efficiency‐based approaches for evaluating the impact of extension on farms' performance. For this purpose the nonneutral production frontier model is used, and the empirical analysis refers to a sample of farms from Crete, Greece. The empirical results support the proposed formulation instead of either the production‐ or the efficiency‐based formulations as extension was found to have a statistically significant effect on closing both the technology and management gaps. Public and private extension services were found to be competitive in the production function and complementary in the technical inefficiency effect function. In addition, farms using both public and private extension services achieved a higher degree of technical efficiency than those using either public or private extension services, and farms with no extension services were found to be the least efficient.     

Valuing Traits of Indigenous Cows in Central Ethiopia

This research aimed at identifying and estimating the relative weight assigned to the preferred traits of indigenous cow population in the most dominant crop–livestock mixed production system in Central Ethiopia. A choice experiment approach was employed to elicit the preferences and a random parameters logit model was used to estimate the relative importance of the preferred attributes of indigenous cows. The results show that fertility, disease resistance and calf vigour traits are at least as important as milk. The location the cows are brought from is also an important attribute for buyers. Results from the simulation on the influence of changes in attribute levels showed that fertility and disease resistance affect preferences more than other traits. The findings suggest that the smallholder community in this part of Ethiopia depends on semi‐subsistence agriculture and so livestock development interventions should focus on a multitude of reproductive and adaptive traits that stabilise the herd structure rather than focusing on traits that are only important for commercial purposes.     

Stated and Inferred Attribute Attendance Models: A Comparison with Environmental Choice Experiments

There is increasing evidence that respondents to choice experiment surveys do not consider all attributes presented in the choice sets. Not accounting for this ‘attribute non‐attendance’ leads to biased parameter estimates, and hence biased estimates of willingness to pay. Various methods exist to account for non‐attendance in the analysis of choice data, with limited agreement as to which method is ‘best’. This paper compares modelling approaches that can account for non‐attendance, based on stated and inferred attribute non‐attendance. Respondents' stated non‐attendance is incorporated in the specification of multinomial and mixed logit models. Inference of non‐attendance is based on equality constrained latent class models. Results show that model fit is significantly improved when attribute non‐attendance is taken into account, and that welfare estimates are lower when incorporating non‐attendance. The inference based on equality constrained latent class models provides the best model fit. There is little concordance between stated and inferred non‐attendance, suggesting that respondents may not answer attendance statements truthfully.     

Cost and environmental efficiency of rice farms in South Korea

We examine cost and nutrient use efficiency of farms and determine the cost to move farms to nutrient‐efficient operation using Data Envelopment Analysis (DEA) with a dataset of 96 rice farms in Gangwon province of South Korea from 2003 to 2007. Our findings show that improvements in technical efficiency would result in both lower production costs and better environmental performance. It is, however, not costless for farms to move from their current operation to the environmentally efficient operation. On average, this movement would increase production costs by 119% but benefit the water system through an approximately 69% reduction in eutrofying power (EP). The average estimated cost of each EP kg of aggregate nutrient reduction is approximately one thousand two hundred won. For technically efficient farms, there is a trade‐off between cost and environmental efficiency. We also find that the environmental performance of farms varies across farms and regions. We suggest that agri‐environmental policies should be (re)designed to improve both cost and environmental performance of rice farms.     

Armington Elasticities and Tariff Regime: An Application to European Union Rice Imports

The European Union’s (EU) import sources for rice include developing countries and least developed countries (LDCs). The EU has made a commitment to allow duty‐free and quota‐free access to rice imports originating in the LDCs from September 2009 onward. The purpose of this article is to answer two questions: (1) does the inclusion of import tariffs lead to different estimated Armington elasticities? (2) when a discriminating tariff is introduced, what happens to the market share of large rice exporters to the EU, especially of poor countries? We present the Armington model, derived from a constant elasticity of substitution (CES) utility function, and a non‐homothetic CES utility functional form, which is more flexible. We then estimate the Armington model, with and without the inclusion of a tariff, and we compare the elasticities. Lastly, we model five scenarios with different discriminated import tariff rates to calculate the changes in the market access of large rice exporters to the EU. Our empirical results show the importance of non‐homothetic preferences and import tariffs. Ignoring import tariffs and the non‐homothetic parameter may produce results which are biased and of uncertain validity. Furthermore, the simulation findings demonstrate that, in spite of a large difference between import tariff rate of Suriname and other countries (scenario V), its market access would not change greatly. This may be caused by supply side problems like poor infrastructures, weak technology and small capacity production in LDCs.     

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.     

Stated Attribute Non‐attendance in Successive Choice Experiments

Attribute non‐attendance in choice experiments affects willingness‐to‐pay (WTP) estimates and therefore the validity of the method. A recent strand of literature uses attenuated estimates of marginal utilities of ignored attributes. Following this approach, we propose a generalisation of the mixed logit model, whereby the distribution of marginal utility coefficients of a stated non‐attender has a potentially lower mean and lower variance than those of a stated attender. Model comparison shows that our shrinkage approach fits the data better and produces more reliable WTP estimates. We further find that while reliability of stated attribute non‐attendance increases in successive choice experiments, it does not increase when respondents report having ignored the same attribute twice.     

Stakeholder perspectives of wood-pasture ecosystem services: A case study from Iberian dehesas

Ecosystem services (ES) research has rapidly gained momentum in environmental policy and practice. However, qualitative socio-cultural approaches are still limited, and therefore, ES important for people, are currently not commonly captured. We performed 34 face-to-face semi-structured interviews to describe stakeholders' appreciation of ES from dehesa landscapes in northern Extremadura, Spain. A total of 45 ES were mentioned, and compared among different sectors and levels of governance. At the local level, people appreciated especially provisioning and cultural services. In contrast, regional level respondents showed more appreciation for regulating and supporting services, which included biodiversity conservation and climate regulation. Private and public sector respondents appreciated provisioning services more, whereas the civil sector mentioned supporting and regulating services more. For instance, water regulation was only mentioned by civil and public sector respondents, while genetic resource preservation was only expressed by the private sector. All sectors noted cultural services as key ES. We discuss most mentioned ES by respondents, the co-production nature of ES in wood-pastures, as well as cultural services as key ES of dehesas in coupled social-ecological systems. We conclude with policy recommendations drawn from the insights of this study.     

A Comparison Between the Conventional Stated Preference Technique and an Inferred Valuation Approach

Contrary to conventional stated preference valuation techniques that employ a direct questioning approach, the inferred valuation method utilises indirect questioning where respondents are asked for their belief regarding others’ values for a good or service. In this study, using choice experiments, we compare the results obtained through the two valuation techniques for environmental features of the Burren landscape in western Ireland. Consistent with previous studies, stated values using the conventional approach are found to be significantly higher than those obtained through the inferred valuation approach. In particular, this study highlights the dissimilarities in relative preferences observed between the two landscape attributes (rocky limestone pavements and orchid‐rich grasslands) from the two questioning formats. While respondents were indifferent between the two habitats, they believed the ‘average other’ to be significantly more concerned about the conservation of the rocky limestone pavements. We attribute this divergence in preferences to be a consequence of additional normative motives perceived by respondents with regard to the conservation of orchid‐rich grasslands.