Farmers' Preferences and Social Capital Regarding Agri‐environmental Schemes to Protect Birds

The steady decline of birds living in cereal steppe lands is a worrying situation that the European Common Agricultural Policy is attempting to remedy through the application of agri‐environmental schemes (AES). We assess farmers' preferences towards these AES, which call for a number of environmental practices to protect birds. Using a face‐to‐face survey in farming communities in Aragón (Spain), and through the estimation of an Ordered Logit model (OL), we assess the ranking of AES attributes, and obtain their economic valuation according to the farmers' preferences. We find that social factors are also important in determining farmers' decisions. In particular, the importance of social trust and expectation of compliance by other neighbours, encourage farmers to sign up to AES. These and other results may be used to design more effective AES and help to solve this important biodiversity problem.     

Bilateral Information Asymmetry in the Design of an Agri‐Environmental Policy: An Application to Peatland Retirement in Norway

Agriculture is a significant source of global greenhouse gas (GHG) emissions. GHG mitigation through agri‐environmental programmes could be important in achieving emission reduction targets under the 2015 UN climate agreement. This study uses the principal‐agent model to examine a peatland retirement programme to reduce agricultural emissions in Norway. The focus is on the role of the government's private information in programme design. Two cases are examined. First, optimal contracts are derived when farmers have private information about the costs of implementing peat land retirement, but the government reveals its information on the resulting public benefits through differentiated contracts. This corresponds to the standard targeting strategy with one‐sided information asymmetry. In the second case, an informed principal model developed by Maskin and Tirole in a 1990 study is employed to address bilateral information asymmetry. Using the informed principal model, the government offers the same menu of contracts to farmers in order not to disclose information on the public benefits from land retirement. Empirical results show that the government can achieve a higher payoff by using a pooling offer.     

What Do Farmers Want From Agri‐Environmental Scheme Design? A Choice Experiment Approach

Agri‐environmental schemes (AES) have had a limited effect on European agriculture due to farmers’ reluctance to participate. Information on how farmers react when AES characteristics are modified can be an important input to the design of such policies. This article investigates farmers’ preferences for different design options in a specific AES aimed at encouraging nitrogen fixing crops in marginal dry‐land areas in Spain. We use a choice experiment survey conducted in two regions (Aragón and Andalusia). The analysis employs an error component random parameter logit model allowing for preference heterogeneity and correlation amongst the non‐status quo alternatives. Farmers show a strong preference for maintaining their current management strategies; however, significant savings in cost or increased participation can be obtained by modifying some AES attributes.     

Economics of Soil Conservation: The Upper Mahaweli Watershed of Sir Lanka

This paper estimates the benefits and costs of soil conservation in the Upper Mahaweli Watershed of Sir Lanka. The costs of soil erosion control include the implementation costs of control measures, while the benefits are reductions in the costs of soil erosion. In contrast to many studies in developed countries, the on‐site benefit of soil erosion control in Sri Lanka is estimated to be greater than the off‐site benefit While a social benefit‐cost analysis demonstrates that it is socially desirable to implement conservation measures, the private financial analyses indicate that it is feasible for individual farmers to adopt the conservation measures. Despite private economic feasibility, programs addressing farmers' reluctance to adopt soil conservation measures may be preferable to public intervention in soil conservation activities when the on‐site benefits are greater than the off‐site benefits.     

Public policy design: Assessing the potential of new collective Agri-Environmental Schemes in the Marais Poitevin wetland region using a participatory approach

The conciliation between different issues such as agriculture production, biodiversity conservation and water management remains unsolved in many places in the world. As a striking example, the wet grasslands of the Marais Poitevin region (France) presents many obstacles against the integration of these issues, especially in terms of public policy design. The socio-cultural situation in this region shows a high degree of political resistance and questions the relevancy of the current Agri-Environmental Schemes (AES) as an incentive for livestock farmers to adopt biodiversity friendly practices favoring the birds’ richness of the area. In this study, we explored the reasons for the poor effect of public policy using a two-fold approach based on ethnographic fieldwork and a role-playing game experiment. The ethnographic fieldwork aimed at understanding the local context and daily lives of farmers and current AES’s difficulties while the observation of the role-playing game session allowed for the exploration of current and alternative policy scenarios. The game represents an archetypal wetland that simulates the grass regeneration, water flows through a canal system and a surrounding network of cultivated plots (wheat, corn, sunflower, alfalfa) and pasture areas. The game is designed for eight players who embody their role in real life, i.e. water managers, biodiversity managers and farmers. The behaviors of the players during the session were observed and analyzed through semantic analysis. The game was structured around two scenarios to allow participants to explore, test and compare the current individual action-oriented AES with alternative collective public policy instruments. Such comparison brings new insights for public policy design. It also highlights the topic of integrated environmental management and questions the relevancy of participatory approaches in striving to resolve contradiction/dilemmas in environmental development.     

Returns to public sector plant breeding in the presence of spill‐ins and private goods: the case of bean research in Michigan

This article illustrates a methodology for assessing economic returns to a publicly funded breeding program in the presence of private sector investments, and spill‐ins from other contemporary public institutions and past research efforts. The approach consists of determining yield gains from bean improvement research; applying these yield gain estimates to measure benefits attributable to different institutional players and time periods; and then assessing the benefit‐cost ratios of investments in a bean improvement program since 1980 by Michigan State University (MSU). The results indicate that investments in MSU's bean breeding program have yielded benefits to costs ratio in the range of 0.7 to 2.2, depending on the attribution rule used to estimate the benefits. The estimated benefit/cost ratios reported in this study are lower‐bound estimates, as they do not account for potential benefits from area planted to MSU varieties outside of Michigan (spillover effects), which was 1.5 times greater than the area planted to MSU‐bred varieties within Michigan in the period 1998–2002. The implications of the increasingly privatized bean seed markets for the role of public sector research in bean improvement research are discussed.     

Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences

In this paper, we investigate the use of geographically weighted choice models for modelling spatially clustered preferences. We argue that this is a useful way of generating highly‐detailed spatial maps of willingness to pay for environmental conservation, given the costs of collecting data. The data used in this study come from a discrete choice experiment survey of public preferences for the implementation of a new national forest management and protection programme in Poland. We combine these with high‐resolution spatial data related to local forest characteristics. Using locally estimated discrete choice models we obtain location‐specific estimates of willingness to pay (WTP). Variation in these estimates is explained by characteristics of the forests close to where respondents live. These results are compared with those obtained from a more typical, two stage procedure which uses Bayesian posterior means of the mixed logit model random parameters to calculate location‐specific estimates of WTP. We find that there are indeed strong spatial patterns to the benefits of changes to the management to national forests. People living in areas with more species‐rich forests and those living nearer bigger areas of mixed forests have significantly different WTP values than those living in other locations. This kind of information potentially enables a better distributional analysis of the gains and losses from changes to natural resource management, and better targeting of investments in forest quality.     

Exploring the cost effectiveness of land conservation auctions and payment policies*

This article evaluates the cost‐effectiveness of the Catchment Care Australian conservation auction. It provides evidence of auction cost effectiveness, and estimates cost savings from two discrete components: (i) the opportunity cost revelation incentive provided by the auction mechanism, and (ii) the improved environmental targeting capacity that results from development of a scientifically based environmental benefits assessment capacity. Results show that there are potentially very large returns associated with the latter component that have been overlooked in the literature. Additionally, transaction costs involved with administering the case study conservation auction and the prior non‐auction payment policy are compared. We find that the administration costs for the auction were greater than or equal to those associated with the prior policy. Estimates of relative cost effectiveness across policies are shown to be sensitive to the methods of comparison. In this case study, there is inelastic supply of the last units of environmental benefit. This inelasticity results in large estimated auction comparative cost advantage when the benefit metric is the estimated cost required to achieve auction aggregate environmental benefit. Estimated benefit of the auction is much less when measured as environmental benefits attainable with alternative payment policies subject to the auction budget constraint.     

Effects of agri-environment schemes on farm-level eco-efficiency measures: Empirical evidence from EU countries

The European Union (EU) budget allocated to agri-environmental schemes (AES) has increased consistently over the past 20 years. European citizens should expect effective spending of these public funds, so investigation of the effects of these schemes on both environmental benefits and farm efficiency is warranted. We examine the effects of European agri-environmental schemes on farm-level eco-efficiency. Our analysis combines data envelopment analysis and impact assessment methods to evaluate the impact of scheme payments on eco-efficiency measures. Our results suggest that there is considerable scope for eco-efficiency improvements, both for dairy and crop production. Results also show that the average change in eco-efficiency scores does not vary significantly between AES participants and non-participants, which questions the effectiveness of present AES.     

Financial costs and benefits of a program of measures to implement a National Strategy on Biological Diversity in Germany

The implementation of the National Biodiversity Strategies and Actions Plans (NBSAP), as required by Article 6 of the UN Convention on Biological Diversity (CBD), would improve the base for political decisions by quantifying the costs and benefits of biodiversity conservation in monetary terms and by illustrating the benefits of related ecosystem services (ESS). However, so far the costs and benefits of the NBSAP have not been routinely estimated. This paper presents results from research quantifying the financial costs and benefits of implementing a set of measures based on the National Strategy on Biological Diversity in Germany (NBS). Based on the NBS and the Quality Status Reports of the EU Habitat Directive, a conservation program was developed consisting of land use changes for six ecosystems/land use types: forests, arable land, grassland, peatlands, wetlands and dry habitats. In addition to the benefits of maintaining biodiversity, two potential ESS benefits of the NBS, water purification and climate mitigation, are estimated as well as the financial costs of implementation. A nationwide contingent valuation study was undertaken to determine the benefits of maintaining biodiversity as a result of the conservation program. The benefits of the conservation program with regard to the ESS water purification are calculated for N-reduction in the leachate and based on abatement costs. The contribution of nature conservation to climate mitigation is calculated for the avoidance of greenhouse gas (GHG) emissions and based on damage costs. The results of the study indicate that the implementation of the NBS would lead to significant financial costs, but the benefits would exceed the financial costs of measures.     

Public preferences for controlling an invasive species in public and private spaces

Discrete choice experiments have been used in this case study to assess community benefits for the control of red imported fire ants, an aggressive ant species that were introduced by accident in 2001 to Brisbane, Australia. This invasive species could have substantial impacts on agricultural production, biodiversity, ecosystem services, infrastructure and communities. Values for avoiding impacts on three particular land uses have been assessed in this study with discrete choice experiments. The results indicated that on a per hectare basis, the value estimates to avoid infestation in public areas (schools and parks), were much higher than for private areas (housing) or natural bushland areas (protected native vegetation). There were high levels of support for eradication rather than containment strategies, despite the additional costs involved. The use of both random parameters logit and latent class models demonstrates that there is a significant heterogeneity in preferences and values for controlling or eradicating the invasive species, indicating that it may be challenging to gain and maintain political support for management options, particularly if these involve large costs or inconvenience to households.     

Parametric and Non‐Parametric Estimates of Willingness to Pay for Forest Recreation in Northern Ireland: A Discrete Choice Contingent Valuation Study with Follow‐Ups

In this study we show that forest areas contribute significantly to the estimated benefits from outdoor recreation in Northern Ireland. Secondly we provide empirical evidence of the gains in the statistical efficiency of both benefit and parameter estimates obtained by analysing follow‐up responses with Double Bounded interval data analysis. As these gains are considerable, it is clearly worth considering this method in CVM survey design even when moderately large sample sizes are used. Finally we demonstrate that estimates of means and medians of WTP distributions for access to forest recreation show plausible magnitude, are consistent with previous UK studies, and converge across parametric and non‐parametric methods of estimation.     

Managing increasing environmental risks through agrobiodiversity and agrienvironmental policies

Agrobiodiversity can provide natural insurance to risk‐averse farmers by reducing the variance of crop yield, and to society at large by reducing the uncertainty in the provision of public‐good ecosystem services, for example, CO₂ storage. We analyze the choice of agrobiodiversity by risk‐averse farmers who have access to financial insurance, and study the implications for agrienvironmental policy design when on‐farm agrobiodiversity generates a positive risk externality. While increasing environmental risk leads private farmers to increase their level of on‐farm agrobiodiversity, the level of agrobiodiversity in the laissez‐faire equilibrium remains inefficiently low. We show how either one of the two agrienvironmental policy instruments can cure this risk‐related market failure: an ex ante Pigouvian subsidy on on‐farm agrobiodiversity and an ex post payment‐by‐result for the actual provision of public environmental benefits. In the absence of regulation, welfare may increase rather than decrease with increasing environmental risk, if the agroecosystem is characterized by a high natural insurance function, low costs, and large external benefits of agrobiodiversity.     

Choice experiment adaptive design benefits: a case study*

Efficient experimental designs offer the potential to reduce required sample sizes, or to reduce confidence intervals for parameters of interest, in choice experiments. Choice experiment designs have typically addressed efficiency of utility function parameter estimates. The recently developed concept of C‐efficiency recognises the salience of willingness to pay estimates rather than utility function parameters in studies that seek to put money values on attributes. C‐efficiency design benefits have been illustrated in a theoretical context, but have not been tested in applied settings. This study reports a choice experiment field application that used initial responses to update statistical designs to maximise C‐efficiency. Consistent with theoretical predictions, the revised design delivered significant reductions in the variance of willingness to pay estimates, illustrating that C‐efficient designs can indeed decrease costs of choice experiments by reducing required sample sizes.     

How Sure Can You Be? A Framework for Considering Delivery Uncertainty in Benefit Assessments Based on Stated Preference Methods

The economic valuation of benefits resulting from environmental policies and interventions often assumes that environmental outcomes are certain. In fact, these outcomes are typically uncertain. This article proposes a methodological approach to incorporate delivery uncertainty into benefit estimation based on stated preference methods. In the study design of a choice experiment survey on land‐based climate change mitigation, we explicitly include delivery uncertainty as the risk that a proposed mitigation project fails to deliver emission savings. We find that respondents’ preferences do not change significantly after being confronted with choices that included risk of failure. However, failure risk itself does have an important impact on the preferences for delivering emission reductions. We show that delivery uncertainty can have a large impact on stated preference estimation of benefits of public programmes. This result should condition conclusions drawn from ex‐ante environmental cost‐benefit analyses that make use of such benefit estimates.     

The economic benefits of rabbit control in Australian temperate pastures by the introduction of rabbit haemorrhagic disease

The European rabbit is present in most Australian environments and causes economic loss in agricultural systems by reducing production and imposing control costs on producers and governments. Research into rabbit control has recognised the need for reliable benefit‐cost analysis to justify inputs into rabbit management. This paper provides estimates of the costs of rabbits in Australian temperate pasture systems and of the long‐term benefits of reducing rabbits by the introduction of rabbit haemorrhagic disease (RHD). Rabbits impose annual costs on wool producers in the temperate pasture areas of between 7.1 and 38.7 million Australian dollars (mA$) depending on their density. Controlling rabbits by RHD has the potential to generate substantial long‐term economic benefits by reducing grazing competition with sheep. Reducing rabbit costs by 25% generated 15‐year net present values (NPVs) between 18.4 and 97.3 mA$ at various pre‐RHD rabbit densities. A 50% reduction in rabbit costs increased the total NPVs between 36.9 and 202.4 mA$, virtually all of which was captured by temperate area wool producers. The corresponding benefit‐cost ratios were between 2.9:1 and 16.2:1 for a 25% rabbit reduction and 5.9:1 and32.4:l for a 50% reduction, where the total costs of the RHD program in the temperate pasture areas were incurred by the wool industry. The analysis provides guidelines for the economic evaluation of other pest problems in agricultural production systems.     

Protest Responses and Willingness to Accept: Ecosystem Services Providers’ Preferences towards Incentive‐Based Schemes

The identification and treatment of protest responses in stated preference surveys has long been subject to debate. We analyse protest responses while investigating ecosystem services providers’ preferences for incentive‐based schemes. We use a choice experiment for olive farmers’ preferences for agri‐environmental scheme participation in southern Spain. Our two main objectives are: first, to identify and discuss a range of possible motives for protest responses that emerge in a WTA context; second, we analyse the impact on WTA estimates of censoring serial non‐participation linked to protest or high compensation requirements (very high takers). Using a random parameter logit model in WTA space, we find that the inclusion or exclusion of serial non‐participants in the analysis can have a significant impact on marginal and total WTA estimates. Based on the findings, the paper makes recommendations on how to reduce the incidence of protest responses through survey design, regarding the identification of protesters as opposed to very high takers, and regarding the treatment of both groups of respondents for WTA estimation.     

Public Preferences and Willingness to Pay for Forest Disease Control in the UK

Invasive pests and diseases in trees impose a range of costs on society related to reductions in timber values, impacts on recreational opportunities and effects on forest biodiversity. These costs need to be considered when assessing control options and developing public policy. We investigate the preferences and willingness to pay of the UK general public for a range of forest disease control measures using a choice experiment with a sample of 605 people. Respondents were relatively well informed about general tree disease‐related issues, such as causes and general measures to minimise the risk of disease spread. They were less knowledgeable about specific tree diseases, with Dutch elm disease and chalara ash dieback being the most well known. We find that disease control programmes in publicly‐owned forests and forests owned by charitable trusts are more likely to be supported by the public than equivalent control programmes in privately‐owned and/or commercial forests. The nature of scientific uncertainty about diseases does not affect peoples’ preferences for disease control measures significantly. Higher respondent income, greater ex‐ante knowledge about tree diseases, and more frequent visits to forests are correlated with greater willingness to support publicly‐funded tree disease control programmes in forests. Better knowledge about tree diseases also improves the clarity of respondents’ choices. We find a negative sentiment against some disease control measures, such as clear felling of a forest, and chemical or biocide spraying. We conclude that there is significant public support for part‐financing forest disease control policies in the UK, but that this is conditional on forest ownership and the type of control measures used.     

The Utilisation of Trade Preferences for Developing Countries in the Agri‐food Sector

Both the European Union and the United States grant non‐reciprocal preferences to developing countries under the Generalised System of Preferences as well as under several regional schemes. The benefits of these preferences have recently been questioned. Several authors have pointed out the under‐utilisation of these preferences due to the constraints attached. There have been claims that rules of origin requirements and administrative costs, as well as uncertainty on eventual eligibility, have deterred exporters from using preferential regimes. We calculate various indicators of the utilisation of preferences in the agricultural, food and fisheries sector. We conclude that only a very small proportion of the imports eligible for these preferences is actually exported outside a preferential regime. The rate of utilisation is therefore high. However, the flow of imports from the poorest countries remains very limited in spite of rather generous tariff preferences, which leads to questions over the overall impact of the preferential agreements. In addition, preferential regimes overlap, and in such cases some regimes are systematically preferred to others. We use econometric estimates of the (latent) cost of using a given preference to explain why particular regimes are used. We focus on possible explanations, such as the cumulation rules (that restrict the use of materials originating from other countries), fixed administrative costs and differences in the preferential margin.