Using proportional modeling to evaluate irrigator preferences for market‐based water reallocation

Irrigators’ policy preferences for water reallocation programs usually take the form of proportional data, where one option will be relatively more or less favored than another in the composition of a government's total budget apportionment to address water reform. This study applies a zero‐one inflated beta regression to model Murray–Darling Basin irrigators’ preferences for market‐based water policy programs. Market‐based arrangements are more likely to provide efficient solutions to water reallocation problems, particularly where future uncertainty and appropriate pricing induce irrigator preferences for such programs. Our modeling of drivers of irrigator preferences for government expenditure on market‐based programs identified different determinants of zero (a corner solution) and proportional outcomes for the reallocation of Murray–Darling Basin water. In addition, the proportional modeling identifies some variables (namely, state regional influences, the type of farm production and recent debt, low income, or water allocation stressors) that increase engagement with market‐based programs. Interestingly, while price variables are important and statistically significant, they appear to be less relevant to program engagement than other influences.     

Conversion subsidies for organic production: results from Sweden and lessons for the United States

Organic conversion subsidies used in Europe are less likely to be politically acceptable in the United States, where organic agriculture development is market‐driven. Persistent barriers to conversion in the United States include limited availability of and access to production and market information, training in management systems and cost of conversion‐related investments. By determining whether these factors affect the requirement of a subsidy to convert, we can suggest whether U.S. policy makers need to provide subsidies to encourage conversion and identify policy variables consistent with market‐based approaches that could stimulate conversion. A utility difference model is used with Swedish data to analyze factors that determine whether a subsidy is required to motivate organic conversion. The results show that farmers requiring subsidies manage larger less‐diversified farms and are more concerned with organic inspection, quality, and adequacy of technical advice. Access to more market outlets and information sources substitutes for payment level in the farmer's utility function, indicating that services rather than subsidies may be used to encourage organic agriculture. To the extent that conditions are similar in the U.S. organic sector, market‐based programs such as cost‐sharing for conversion and market access improvement should stimulate growth of this industry.     

The use of latent classes to identify individual differences in the importance of landscape dimensions for aesthetic preference

Most literature in landscape perception and preference has focused on aesthetic preference by (groups of) people. Factors that could influence the aesthetic preference, such as landscape dimensions and observer's background characteristics, are far less examined. This may be due to the increasing complexity of the dataset, when variation both in landscape attributes and respondents’ characteristics is to be included in the models. The complex multivariate analysis models that emerge require more sophisticated statistical analysis. Also, the conclusions that result from the traditional analysis sound like, e.g. experts show lower preferences than nonexperts, which is rather deterministic and leaves no room for fuzziness. Latent class analysis provides an opportunity to include fuzziness, by only probabilistically assigning respondents in a latent class in function of the respondent's characteristics. The present paper explores the use of latent class analysis to determine individual differences in the importance appended to several landscape dimensions for landscape aesthetic preference. A questionnaire survey was executed in a spatially stratified sample amongst inhabitants of the city of Ghent (Flanders, Belgium). Latent preference classes are identified of which the cases vary in the level of importance attached to landscape characteristics for aesthetic preference. Care and disturbance appear to have larger effect on preference than naturalness and urbanisation. The effect of care and disturbance on landscape aesthetic preference also most significantly distinguishes between the latent preference classes. The importance of openness for aesthetics is small and not significantly dependent on the individual background of the observer. Respondents’ characteristics that affect the probability of belonging to a latent preference class are environmental behaviour and attitude, actual living environment, age class, education level, and organisation membership. Understanding the basis for differences in landscape preference may respond to tastes and aspirations of the general public, putting landscape planning in the broader context of society.     

Adverse Selection in the Environmental Stewardship Scheme: Does the Higher Level Stewardship Scheme Design Reduce Adverse Selection?

The Environmental Stewardship Scheme provides payments to farmers for the provision of environmental services based on foregone agricultural income. This creates a potential incentive compatibility problem which, combined with information asymmetry about farm land potential, can lead to adverse selection of land into the Scheme and therefore a less cost‐effective provision of environmental goods and services. However, the Higher Level Stewardship (HLS) Scheme design includes some features that potentially reduce adverse selection. This paper studies the adverse selection problem of the HLS using a principal‐agent framework at the regional level. It is found that, at the regional level, the enrolment of more land from lower payment regions for a given budget constraint has reduced the adverse selection problem through contracting a greater overall area and thus higher overall environmental benefit. In addition, for landscape regions with the same payment rate (i.e. of the same agricultural value), differential weighting of the public demand for environmental goods and services provided by agriculture (measured by weighting an environmental benefit function by the distance to main cities) appears to be reflected in the regulator’s allocation of contracts, thereby also reducing the adverse selection problem.     

Factors influencing farmers’ participation in contractual biodiversity conservation: a choice experiment with northern Australian pastoralists

Private landholders’ contributions to biodiversity conservation are critical in landscapes with insufficient formal conservation reserves, as is the case in Australia's tropical savannas. This study reports results from a discrete choice experiment conducted with pastoralists and graziers across northern Australia. The experiment was designed to explore the willingness of pastoralists and graziers to sign up to voluntary biodiversity conservation contracts. Understanding preferences for contractual attributes and preference heterogeneity were additional objectives. Such knowledge can increase effectiveness and efficiency of conservation programs by informing contract design, negotiation and administration. Random parameter logit modelling showed that of contract attributes, conservation requirement, stewardship payment, contract duration and flexibility in contract conditions significantly influenced choices. Land productivity was a significant factor as were attitudes. There was significant heterogeneity of preferences for all contract attributes. Models were run for best–worst scaling responses and the first preferences subset, with the latter model deemed superior. Latent class modelling distinguished four classes of decision‐makers and illustrated different decision heuristics. Conservation investment strategies, which offer farmers contract options that meet biodiversity requirements while accommodating heterogeneous attribute preferences, are likely to lead to increased participation rates. Complementary suasion efforts are also required which espouse the benefits that pastoralists derive from biodiversity and participation in voluntary conservation contracts.     

Budgeting and portfolio allocation for biosecurity measures

This paper presents a practical model for optimally allocating a budget across different biosecurity threats and measures (e.g. prevention or border quarantine, active surveillance for early detection, and containment and eradication measures) to ensure the highest rate of return. Our portfolio model differs from the common principle, which ranks alternative projects by their benefit cost ratios and picks the one that generates the highest average benefit cost ratio. The model we propose, instead, aims to allocate shares of the budget to the species where it is most cost‐effective, and consequently determine the optimal scale of the control program for each threat under varying budget constraints. The cost‐effectiveness of each block of budget spent on a threat is determined by minimising its expected total cost, including the damages it inflicts, and the control expenditures incurred in preventing or mitigating damages. As an illustration, the model is applied to the optimal allocation of a budget across four of Australia's most dangerous pests and diseases: red imported fire ants; foot‐and‐mouth disease; papaya fruit fly; and orange hawkweed. The model can readily be extended to consider more species and activities, and more complex settings including cases where detailed spatial and temporal information needs to be considered.     

Optimal Drug Control under Risk of Drug Resistance – The Case of African Animal Trypanosomosis

We examine two widely used treatment strategies for African animal trypanosomosis in West Africa: preventive drug control ex‐ante trypanosomosis infection and curative drug control ex‐post trypanosomosis infection. We investigate which combination of these alternative strategies is economically optimal for cattle farmers. We apply a dynamic optimisation framework to consider both the negative externality of drug resistance development and human behaviour. We develop a bio‐economic model to simulate the economic consequences of treatment strategies in a dynamic scenario that takes into account the interactions among the vector, host and livestock farmers. This model allows for the evolution of drug‐resistant trypanosomes through trypanocide misuse and simulates the observed behaviours of cattle farmers based on the elicited risk and time preferences of a sample of 202 cattle farmers in Mali and Burkina Faso. The results show that the private optimal mix of treatment strategies for a risk averse and patient farmer involves preventive treatment for susceptible cattle, supported by a small number of curative treatments for infected cattle. Compared with the treatment strategies observed in the field, this optimal mix of treatment strategies would save approximately 5% of the annual income of a livestock farmer in the study area and would reduce the prevalence of trypanosomosis. In addition, we demonstrate that a reduction in a farmer's risk aversion is associated with higher treatment rates that can avoid additional losses. By contrast, a decrease in a farmer's patience is related to lower treatment rates that thwart additional benefits. Our results suggest that individual risk and time preferences need to be considered in the development process of disease control interventions.     

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.     

New evidence regarding the effects of contract farming on agricultural labor use

Contractual agreements between smallholder farmers and agribusiness companies have gained in importance in many developing countries. While productivity and income effects of contracting in the small farm sector were analyzed in many previous studies, labor market and employment effects are not yet well understood. This is an important research gap, especially against the background of continued population growth and structural transformation. Here, we investigate the effects of two types of contractual agreements between large international processing companies and smallholder farmers on agricultural labor use, household labor allocation, and hired labor demand in Ghana's palm oil sector. We use cross‐sectional survey data and a willingness‐to‐pay approach to control for unobserved heterogeneity between farmers with and without contracts. We find that agricultural labor intensity is substantially reduced through the contracts, because contracting in Ghana is associated with the adoption of labor‐saving procedures and technologies. Simple marketing contracts lead to reallocation of the saved household labor to off‐farm employment, whereas resource‐providing contracts lead to a stronger reallocation of labor within the farming enterprise. Household labor is more affected by labor savings than hired labor.     

Firm-level Intermediate Demand for Pacific Whiting Products: A Multi-attribute, Multi-sector Analysis

Variation in seafood prices resulting from differences in product characteristics are often obscured by highly aggregated data or data representing only upstream sectors. This can lead to myopic commodity-based analysis that fails to identify how changes in public and private fisheries management may impact product characteristics, market development, and long-run social benefits. Given these problems, alternative methods are needed to complement traditional demand, supply and cost-benefit analysis. Mail and personal surveys of seafood wholesalers were conducted to determine preferences for Pacific whiting products. The relative importance of fillet and headed and gutted product characteristics are determined using conjoint analyses and factorial-based market experiments. Estimation of relative profitability, probability of purchase and short-run "conditional" demand models reveal the importance of wholesaler characteristics, physical product characteristics and contractural arrangements. Marketing margins and demands for improved products are also estimated. Implications for private and public resource management are discussed.     

Valuing Australian botanic collections: a combined travel‐cost and contingent valuation study*

Economic values of biological collections in three Australian botanic gardens in Canberra, Melbourne and Sydney were estimated using the travel‐cost method (TCM) and the contingent valuation method (CVM). The TCM component of the study produced average per‐trip consumer surplus (CS) values of $39 and $18 for single‐ and multiple‐site visitors, respectively, for each botanic garden, resulting in an estimate of approximately $194 million for the total social welfare generated by trips to the three sites. Marginal willingness to pay (WTP) for access to botanic gardens was also investigated through payment vehicles of entry fees or higher parking charges using the CVM component. The analysis revealed a positive mean WTP of between $3 and $5 per trip per person. The difference between the CVM and TCM results reflect the different underlying concepts of value under investigation: average CS per visit for the TCM and the utility arising from a marginal visit for the CVM. Marginal changes in CS from the TCM were derived. The confidence intervals from the TCM marginal values overlap the WTP estimates from the CVM. These findings will be useful for resource management decisions in the botanic gardens collection in Australia.     

Society's attitudes to and preferences for land and landscape

The relationship between society, land and landscape is deeply complex. Attitudes are reflected in behaviour, notably patterns of consumption through recreational activity, as well as in expressed preferences. Society attaches great importance to land. A large proportion of the population engages directly with it, through gardening and involvement in the management of allotments, community gardens and other public spaces. There is increasing evidence of the benefits of such engagement for individuals and communities. Society's attitudes and preferences have traditionally been dominated by expert or professional views, which have evolved over time and now place emphasis on everyday as well as special landscapes, and on urban greenspace and green infrastructure as much as on rural landscapes. The general public also seems to value the countryside as well as parks and green spaces nearer to home. Public attitudes are shaped by a number of different factors. Age, social and economic status, ethnic origin, familiarity, place of upbringing and residence, particularly whether urban or rural, are especially significant. Perhaps most important are environmental value orientations. At present, society seems to be polarised. At one extreme are older, more affluent, better educated, more environmentally aware people, often in social grades AB, who are often the most active users of the countryside and greenspaces. At the other extreme are younger age groups, ethnic minorities, and those who are in the DE social grades, who are often much less engaged. These groups have very different values and attitudes. But most people need to access and enjoy different types of landscape at different times and for different purposes, accessing what has been called a ‘portfolio of places’ that is particular to each person. It is by no means clear how the various factors that influence people's attitudes and preferences will play out in the future. Society may continue to become more detached from nature and landscape, and less caring about its future. Or there could be a rekindling of society's need to engage with the land and an increased desire to ensure that all sectors of society can benefit from green spaces and rural landscapes. This is likely to require interventions through education and campaigns to change attitudes and behaviour. Whether such initiatives can be effective in the face of competing drivers of attitudinal and behavioural change and over what timescale, may well determine how society's relationships with land and landscape evolve over the next 50 years.     

SOCIAL GAIN,WELFARE, POLITICAL ECONOMY AND A' THAT

The economic criterion of public investment choice is aggregate consumers' surpluses and producers' rents generated by the investment. Its analytical model is a social revenue function and a social cost function. It is a welfare criterion only so far as efficiency is a welfare component and then subject to severe limitations. It is argued here that the economist's conclusions rest in part on a set of value preferences; therefore, the test of their rightness is in part their acceptability to the public choice-maker.     

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.     

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.     

Cost-effective nitrogen leaching reduction as influenced by linkages between farm-level decisions

This article focuses on how the linkages between various farm‐level decisions affect the choice of measures to reduce nitrogen leaching from crop production. A mathematical programming model is developed. The model considers not only management decisions that affect nitrogen leaching directly, but also other decision variables such as scheduling of field operations and machinery investments. A simplified analysis that ignores the latter management decisions, and the linkages between the various decisions, may result in abatement policies that are not cost‐effective because the policies will have other effects than expected. As an example, the empirical results show that subsidies to catch crops and spring ploughing may contribute to increased nitrogen load, quite contrary to the purpose of these subsidies. Further, it is noted that the characteristics of the production system make it costly to change land use, tillage practices, or fertilizer use drastically. Instead, cost‐effective nitrogen abatement includes a mix of various adjustments of farm‐level production practices. The EU set‐aside payment appears to reduce abatement costs.     

Agricultural Subsidies and Rural Development

How consistent is a single farm payment system with rural development goals? A new economic geography model is used to compare coupled subsidies to ‘single farm payments’ effects on the location of farming, agro‐industry and non‐farm activity between rural and urban areas. This abstract model features a majority of employment in service sectors, farming vertically linked to manufacturing, and strong preferences for geo‐varieties. It appears that both coupled subsidies and single farm payments can decrease spatial agglomeration. But only the single farm payment policy raises welfare in both rural and urban regions of this stylised economy.     

Public evaluation of landscape content and change: Several examples from Europe

This paper considers rural land use by analysing stakeholder values and perceptions concerning various landscape components. The purpose is to show that landscape content and land cover interactions with societal connections should be a base for land use development. The practical goal is to deliberate research tools to quantify public opinions and attitudes, which could form bases for developing of decision support tools. The main research objectives are: (1) to assess existing opinions concerning land use changes and provide a clearer insight into public attitudes to the role of woodlands for an integrated development of the countryside; (2) to place ecological and socio-economic values on inanimate natural components of landscapes; and (3) to assess values and preferences held by land use policy and management experts regarding multiple landscape components and features to assist in decision-making. Through the different levels of importance (values) accorded by the respondents to the integration of nature components in rural landscapes public priorities were identified. The paper develops an understanding of why certain aspects of land use changes are unfavourably viewed by some people and favourably received by others. It suggests some innovative perspectives on the areas of consensus and conflict between people, providing initial information for the selection and evaluation of land use management decisions.     

Statistical Modelling of Incentive Design Under Limited Information ‐ The Case of Public Access to Farmland

This paper explores the use of statistical modelling to aid efficient policy design for the provision of environmental goods on farms under conditions of adverse selection. The specific case of incentive‐based schemes to enhance the supply of public access to farmland is used as an example. A range of site willingness‐to‐pay (WTP) distributions are used to explore the benefits derived from policies designed under different levels of information. Where no individual farm information is available, low payment rates are optimal, but efficient market creation may not be possible. Increasing the information set allows discretion in pricing and entry: optimal payment rates and net benefits are higher and the pay‐off from procuring improved information can be substantial. Such benefits are reduced where there is a welfare cost associated with increased government expenditure. Optimal policies are sensitive to the skewness of the WTP distributions. Mechanisms for increasing the information set available to policy makers are discussed.