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.     

Use of Compliance Rewards in Agri‐environmental Schemes

Ensuring that farmers comply with the terms of agri‐environmental schemes is an important issue. This paper explores the use of a ‘compliance–reward’ approach under heterogeneous net compliance costs with respect to cost‐share working lands programmes such as the Environmental Quality Incentives Program (EQIP) in the United States. Specifically, we examine the use of a reward under asymmetric information and output price uncertainty. We examine two possible sources of financing under the assumption of budget neutrality: (i) funds obtained by reducing monitoring effort; and (ii) money saved by reducing the number of farmers enrolled. We discuss the advantages and disadvantages of each source of funding and analyse these numerically for both risk‐neutral and risk‐averse farmers. We also examine the trade‐off between increased expenditure on monitoring effort and compliance rewards when additional budgetary resources are available. We show that under certain conditions a compliance reward can increase compliance rates. For risk‐averse farmers, however, conditions that ensure a positive outcome become more restrictive.     

Modelling Farmers’ Participation in an Agri‐environmental Scheme using Panel Data: An Application to the Rural Environment Protection Scheme in Ireland

Previous studies that have attempted to model the participation decision of farmers in agri‐environmental schemes have used a static framework where it was not possible to examine changes in the participation decision of farmers over time. This is rectified in this paper by utilising an 11‐year panel that contains information on 300 farmers for each year. The structure of this dataset allows us to employ discrete time duration random effects panel data logit models to model the determinants of entering the Irish Rural Environment Protection Scheme (REPS). We introduce a dynamic element into a number of the models by using the random effects logit model estimator, with lagged dependent variables as additional explanatory variables. The results point to the fact that systems of farming that are more extensive and less environmentally degrading remain those most likely to participate in the REPS. In addition, the results highlight the fact that where no attempt is made to control for unobserved heterogeneity or path dependency the effects of the farm‐ and farmer‐specific characteristics may be overestimated.     

Farm Level Costs of Agri‐environment Measures: The Impact of Entry Level Stewardship on Cereal Farm Incomes

Applying a difference‐in‐difference approach with propensity score matching, we examine the impact of participation in the Entry Level Stewardship (ELS) scheme on cereal farm incomes in eastern England. We assess the extent to which impacts are related to a) the source of income affected – whether only from agricultural or total business income; b) the channel of the impact – through land use and/or labour input; and c) the level of impacts through time. In addition, we assess the appropriateness of the level of the ELS payment. We find that: a) entering the ELS scheme could negatively affect cereal farm incomes – in particular, the total business income; b) that negative impacts arise primarily in relation to the use of land resources; c) that impacts may diminish over a relatively short period of time; and d) that the ELS payment broadly compensates for losses without providing over compensation. Given the diminishing negative impact over time, the level of ELS payment might need to be reviewed in the longer term, although policy evaluation should consider the wider implications for efficiency of alternative payment levels. We also discuss some limitations of the approach and potential extensions.     

Potential Conflict and Inefficiencies Arising in Agri‐environmental Management

We characterise the welfare implications of uncoordinated policy decisions in the presence of multiple externalities, illustrated with an aquifer. We concentrate on the problem of coordination that can occur when distinct agricultural and water authorities implement their respective policies (to optimise food production and groundwater use) with environmental concerns in mind. We represent this problem as an open‐loop Nash game, which compares the game‐theoretical solution to a centrally planned solution. We show that the inefficiencies arise from differences in the account taken of relevant costs by different authorities. We demonstrate that the magnitude of the inefficiency generated by the absence of coordination of our authorities varies depending on the weights put on environmental benefits by each authority, and discuss the implications of analysis for future research and policy.     

Moral Hazard,Targeting and Contract Duration in Agri‐Environmental Policy

This article extends the multi‐period agri‐environmental contract model of Fraser (Journal of Agricultural Economics, Vol. 55 , (2004) pp. 525–540) to include a more realistic specification of the inter‐temporal penalties for non‐compliance, and therefore of the inter‐temporal moral hazard problem in agri‐environmental policy design. It is shown that a farmer has an unambiguous preference for cheating early over cheating late in the contract period based on differences in the expected cost of compliance. It is then shown how the principal can make use of this unambiguous preference to target monitoring resources intertemporally, and in so doing, to encourage full contract duration compliance.     

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.     

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.     

To Cheat or Not To Cheat: Moral Hazard and Agri‐environmental Policy

This Address examines the moral hazard problem in agri‐environmental policy. It begins with a theoretical analysis of moral hazard in this context, including the identification of eight potential causes of cheating behaviour among farmers. But is cheating behaviour among farmers actually a problem for agri‐environmental policy? And if it is, which are the statistically significant causes of concern? The answer seems to be: “we don't know” as there are currently no empirical analyses of the moral hazard problem and its causes in agri‐environmental policy. On this basis I analyse a set of policy solutions – to a problem for which we have no evidence of its causes or extent!     

Agri‐environmental auctions for phosphorus load reduction: experiences from a Finnish pilot

We examine environmental auctions on working agricultural lands. We organized a discriminatory auction where farmers were asked to make bids on spreading gypsum on their fields to reduce phosphorus loads to surface waters. The parcel‐specific bids were ranked based on their load reduction–compensation ratios. To assess load reductions, we built an environmental benefit index (EBI) based on three factors: P‐status of the soil (phosphorus available for crops), field slope and location with respect to waterways. As the per tonne price of gypsum delivery from the factory was higher for small quantities, the auction format allowed bundling of field parcels to reduce transportation costs. We evaluate auction's ability to target the environmental (or abatement) measures to field parcels with the highest load reduction potential and analyse the economic efficiency of the auction by comparing the pilot auction with simulated bidding behaviour and with hypothetical flat rate payment schemes. The pilot auction targeted the environmental measures effectively. It was also more efficient than a flat rate payment, even when the flat rate scheme was combined with an EBI eligibility criterion.     

Farmers’ Income and Production Responses to Rural Taxation Reform in Three Regions in China

The relationship between agricultural taxation and production efficiency has been thoroughly explored for many countries. Recently, China has taken various measures including the rural taxation reform (RTR) to promote grain production and to increase farmer incomes. In this study, we investigate whether the Chinese policy of abolishing rural taxation has improved farm households’ incomes and affected their production decisions. Using household survey data obtained from three regions in China, we estimate the effect of the RTR on farmers’ income. Results show that the RTR has significantly improved farmers’ post‐tax net income by 9.2% in Shandong, 16.9% in Shanxi and 16.8% in Zhejiang. These increments, mostly from farm income rather than from off‐farm income, are much higher than the direct income increase from the tax savings. In addition, we examine the dynamic impact of farmers’ net income, and find that the RTR has a sustained positive income effect in Shandong and Shanxi, whereas its positive effect in Zhejiang appears temporary. We also examine farmers’ production responses to the RTR. Results show that farmers in the three regions respond in different ways: farmers in Shandong significantly increase their labour input, farmers in Zhejiang increase intermediate inputs, whereas Shanxi farmers augment their intermediate inputs and enlarge their crop acreage. It appears that the farmers’ responses to the taxation reform vary due to the agronomic and economic factors in these three regions, suggesting that diverse post‐RTR supplemental policies should be implemented in different regions.     

The Effects of Non‐tariff Measures on Agri‐food Trade: A Review and Meta‐analysis of Empirical Evidence

The increasing policy interest and academic debates on non‐tariff measures (NTMs) has stimulated a growing literature on how NTMs affect agri‐food trade. The empirical literature provides contrasting and heterogeneous evidence, with some studies supporting the ‘standards as catalysts’ view, and others favouring the ‘standards as barriers’ explanation. To the extent that NTMs can influence trade, understanding the prevailing effect, and the motivations behind one effect or the other, is a pressing issue. We review a large body of empirical evidence on the effect of NTMs on agri‐food trade and conduct a meta‐analysis to disentangle potential determinants of heterogeneity in estimates. Our findings show the role played by the publication process and by study‐specific assumptions. Some characteristics of the studies are correlated with positive significant estimates, others covary with negative significant estimates. Overall, we found that the effects of NTMs vary across types of NTM, proxies used for NTMs, and levels of detail of studies. The estimated effects are also influenced by methodological issues and publication processes.     

Farm Size Growth and Participation in Agri‐environmental Schemes: A Configural Frequency Analysis of the Swiss Case

This paper examines the relationship between farm growth and participation in agri‐environmental schemes, using the example of meadow extensification schemes in Switzerland. As a result of small farm sizes in Swiss agriculture, theory would suggest that economies of scale are considerable for market production activities, so that for growing farms it would be rational to intensify. Configural frequency analysis is used to identify and describe combinations of farm size development and proportion of meadows placed under agri‐environmental schemes. In the Swiss case, growing farms are likely to reduce their participation, whereas shrinking farms have a growing share of their meadows under extensification schemes.     

Cattle Farmers’ Preferences for Disease‐Free Zones in Kenya: An application of the Choice Experiment Method

Management of livestock diseases is important in ensuring food safety to consumers in both domestic and export markets. Various measures are prescribed under the Sanitary and Phytosanitary Standards (SPS) agreement of the World Trade Organization. In order to prevent the spread of trans‐boundary cattle diseases, the SPS agreement recommends the establishment of Disease‐Free Zones (DFZs). These have been implemented successfully in some major beef‐exporting countries, but in Kenya are still at a pilot stage. To understand Kenyan farmers’ preferences on the type of DFZ that would be readily acceptable to them, a choice experiment was conducted using a D‐optimal design. Results show that farmers would be willing to pay to participate in a DFZ where: adequate training is provided on pasture development, record keeping and disease monitoring; market information is provided and sales contract opportunities are guaranteed; cattle are properly labelled for ease of identification; and some monetary compensation is provided in the event that cattle die due to severe disease outbreaks. Preferences for the DFZ attributes are shown to be heterogeneous across three cattle production systems. We also derive farmers’ preferences for various DFZ policy scenarios. The findings have important implications for policy on the design of DFZ programmes in Kenya and other countries that face similar cattle disease challenges.     

Non‐market valuation: usage and impacts in environmental policy and management in Australia

An extensive literature exists on environmental nonmarket valuation research. It appears that results from these studies should be useful inputs to decision‐making about environmental policy or management. Here, we investigate the extent to which this occurs in practice in Australian environmental management bodies. Nonmarket valuation experts were surveyed about their studies that they believed to have influenced policy. Then, decision‐makers in environmental bodies were interviewed about the level of influence nonmarket valuation has had on their decisions. We find that researchers' perceptions of the influence that nonmarket valuation has on decision‐making are overly optimistic. Interviews with decision‐makers suggest that nonmarket valuation is little used in decision‐making. Indeed, the majority of them are unfamiliar with nonmarket valuation techniques. Nevertheless, once the concept was explained to them, many decision‐makers believed it could benefit environmental policy. Researchers' perceptions of the reasons for low usage of nonmarket valuation are largely inaccurate. We suggest a range of strategies that economists can use to promote the use of nonmarket valuation in environmental policy and management decisions, including ways to improve communication and engagement with decision‐makers, and strategies to increase the capacity for decision‐makers to use nonmarket valuation results.     

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.     

State‐contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley,Australia

The agricultural sector is commonly regarded as one of the most vulnerable to climate change. Current understanding of the impact of climate change on this sector relies on the underlying assumptions about farmers’ possible responses to weather variability, including changes in crop choice, input combinations and land management practices. Many previous analyses rely on the implicit (and restrictive) assumption that farmers operate under a fixed technology set across different states of nature. This assumption, represented through stochastic production or profit functions, is commonly made but seldom tested and may understate farmers’ responses to climate change if state‐contingent production technologies are, in reality, more flexible. The potential for farmers to adapt production technologies in response to unforeseen events is at the core of the state‐contingent approach. Advanced in Chambers and Quiggin (2000), the theory contends that producers can manage uncertainty through the allocation of productive inputs to different states of nature. In this article, we test the assumption that farmers’ observed behaviour is consistent with the state‐contingent production theory using farm‐level data from Australia. More precisely, we estimate the milk production technology for a sample of irrigated dairy farms from the southern Murray–Darling Basin over the period from 2006–2007 to 2009–2010.     

Design Factors Influencing Willingness‐to‐Pay Estimates in the Becker‐DeGroot‐Marschak (BDM) Mechanism and the Non‐hypothetical Choice Experiment: A Case of Biofortified Maize in Zambia

Two of the experimental methods used to estimate willingness‐to‐pay (WTP) for a non‐market good, the Becker‐DeGroot‐Marschak (BDM) mechanism and the non‐hypothetical choice experiment (nHCE) often lead to significantly different WTP estimates, complicating the choice between the methods. In Zambia the same group of researchers used both techniques to evaluate WTP for orange maize, which provides more vitamin A than other varieties. This provided an opportunity to analyse the sources of the difference. In the BDM experiment, one group of respondents was provided with more training opportunities than the other, and made higher bids. Accounting for lexicographic behaviour in the nHCE reduced the estimated WTP. These two design factors together resulted in a decrease in the WTP difference for orange maize (1,279–632 ZMK) although the difference remains statistically significant. More training was also shown to eliminate the effects of different orders in which maize varieties were presented.     

The Rise and Decline of Small‐Scale Sugarcane Production in South Africa: A Historical Perspective

South Africa's sugar industry has long been distinguished by its large number of small‐scale sugarcane growers (SSGs) farming on ‘communal’ land and its peculiar privately administered regulatory structure. In recent years, however, the numbers of small‐scale growers have declined precipitously. This paper argues that the relationship between the rise and fall of SSG production and the industry's governing regulatory structure is closer than usually appreciated. The emergence of SSG production in the late 1970s and the 1980s can be traced to industry‐subsidized initiatives, disguised as small‐scale credit, to bring commercially inalienable Bantustan land into cane production with strong miller oversight. From the late 1980s to 1990s, however, the elimination of these subsidies encouraged millers to subcontract support to farmers, while simultaneously instigating an increase in SSG numbers by removing restrictions on grower registration. Although low rainfall is a central proximal factor in the rapid decline of the SSGs in the 2000s, their rapid increase was structurally fragile.