Agri-environmental Policy Research Articles

Assessing Consumer Preferences and Willingness to Pay for Agricultural Landscape Attributes in Lithuania

Agricultural activities play an important role in shaping landscape, in particular, in Lithuania, where agricultural land accounts for more than half of the surface land. These landscape services are used by people as public goods, contributing to societal welfare. The aim of this study is to assess the value of agricultural landscape, identifying consumer preferences and willingness to pay for agricultural landscape attributes using the choice experiment (CE) method. The article analyses the agricultural landscape services and attributes the condition of which depends directly on the farming systems and practices applied. Four attributes of agricultural landscape were selected for the research: (i) scenic views; (ii) variety of flora and fauna species, (iii) recreational infrastructure and services, and (iv) objects of cultural heritage. The latent class approach (LCA) was used for analysis of heterogenous preferences among the Lithuanian residents. The findings provided quantitative information related to the demand for agricultural landscape goods, identifying a particular interest for the objects of cultural heritage, in relation to which the willingness to pay is particularly high. It is necessary to understand and analyse the preferences for agricultural landscape services with the purpose of improvement of the agricultural policy measures in order to change the farmers’ performance towards sustainability. The case study offers new empirical arguments for agri-environmental policy development.

Learning about German farmers’ willingness to cooperate from public goods games and expert predictions

AbstractThere is a growing interest in collective contracts to address agri-environmental policy goals at landscape scales. Yet, little is known about farmers’ general willingness to cooperate. We developed four treatments of a linear public goods game to investigate farmers’ willingness to cooperate: (1) heterogeneous endowments, (2) leading-by-example, (3) social norms, and (4) pinpointing the socially optimal solution. Based on a sample of 358 German farmers, we find that contributions reach more than two-thirds of the initial endowment across different treatments on average. Nudging the socially optimal solution is the most effective treatment. In addition to the experiment, we elicited incentivized predictions on experimental outcomes from 212 experts. Expert beliefs on treatment effects appear to be calibrated on laboratory studies, highlighting the need to conduct, communicate, and discuss experimental studies outside the laboratory. Young female academics with an Economics background most accurately predict farmers’ behaviour in the experiment.

Using a bio-economic farm model to evaluate the economic potential and pesticide load reduction of the greenRelease technology

CONTEXTPolicies and strategies at EU and national level aim at a reduced use of pesticides in agriculture, such as the Farm to Fork Strategy of the EU Commission. Technological progress can lower pesticide application and contribute to a sustainable bioeconomy. As an example, the greenRelease technology increases the attachment of the active ingredient of plant protection products to the leaf surface and slowly releases the active ingredient from a microgel container. Experiments under both controlled and field conditions have demonstrated the potential of the greenRelease technology to reduce pesticide use. As a so-called platform technology, the greenRelease concept can be applied to various crops and plant protection chemicals. OBJECTIVETo guide further development, this study analyses the greenRelease technology regarding its economic potential and its possible contribution to the reduction of environmental and health risks from pesticide use. METHODSTo do so, we use a bio-economic farm model to assess the technology potential for a typical farm and spraying sequences of various crops in northwestern Germany. RESULTS AND CONCLUSIONSThe results reveal that the economic potential of the greenRelease technology is highest for systemic fungicides in all assessed crops as well as for herbicides for potato cultivation. It is lowest for insecticides in winter barley and potato as well as for contact fungicides, due to the small doses and low product costs. The potential to lower possible environmental and health risks of pesticide use, indicated by the Danish pesticide load indicator, is highest for fungicides in potato, winter wheat, and winter barley as well as for herbicides in sugar beet cultivation. Relative to overall costs in arable farming, the cost changes induced by the greenRelease technology are minor, such that the environmental benefits will be key for promoting its application. However, the economic competitiveness of the technology increases if agri-environmental policies progressively internalize the negative externalities of pesticides use. SIGNIFICANCEThis research is the first comprehensive economic and environmental assessment of the technology greenRelease which can contribute to lower the environmental burden of pesticide use in agriculture.

Targeting best agricultural practices to enhance ecosystem services in European mountains

Agri-environmental policies in Europe are failing to sufficiently address ongoing environmental degradation, biodiversity decline, climate impacts, and societal demands for sustainability. To reverse this, policymakers, practitioners, and farmers need better guidance on which specific agricultural practice/s should be promoted and how to adapt current practices to reach the desired objectives. Here we use social valuation tools to elucidate the relationship between agricultural practices and the provision of key ecosystem services in mountains, including maintenance of scenery from agricultural landscapes, conservation of biodiversity, regulation of climate change through carbon sequestration, production of local quality products, maintenance of soil fertility, and prevention of forest wildfires. We use as case studies two contrasting but representative mountain agroecosystems in the Mediterranean and Nordic regions of Europe. We analyze the best agricultural practices in both agroecosystems to reach the targeted environmental outcomes under three plausible policy scenarios. We find significant differences in the average contribution of agricultural practices to ecosystem services provision, which suggest the need for regionalizing the research efforts and, consequently, the design of agri-environmental policies. However, we also identify practices for ecosystem service delivery across policy scenarios and agroecosystems. Among these, grazing and silviculture practices such as extending the grazing period, grazing in semi-natural habitats, grazing in remote and abandoned areas, adapting stocking rate to the carrying capacity, and moving flocks seasonally, stand out for their relevance in all policy scenarios. These results highlight the potential of adequate grazing and silviculture practices to deliver bundles of ecosystem services. Our study provides guidance to design agri-environmental policies in Europe that focus on rewarding farmers for their sustainable management of natural resources, climate change mitigation and adaption and biodiversity conservation.

Optimizing contract allocation for risky conservation tenders

In the face of a shrinking budget for environmental activities, conservation agencies must design and implement agri-environmental policies that cost-effectively meet the environmental objectives. However, designing such programs is often challenging due to different uncertainties. For example, landholders may be exposed to risks when carrying out conservation projects. To minimise the negative impact of unexpected losses, landholders may require additional financial incentives as compensation for undertaking “risky” conservation projects. In such situations, the conservation agency risks over-spending public funds because of prohibitively high opportunity costs from landholders or failing to meet the environmental target. We used analytical and simulation approaches to explore optimal budget allocation in a target-constrained conservation tender. We also compared the performance of the tender with and without own-cost uncertainty. Results showed that as landholders’ own-cost uncertainty rises, the conservation agency is forced to allocate more funding to secure the same level of the environmental target. We found that the optimal funding level is sensitive to landholders’ competition uncertainty and the magnitude of expected losses.

서식지 선호도 및 품질 평가 모형의 신뢰성 개선: 한국 고라니의 경우

Purpose: Predicting the occurrence of wild species at the landscape level is a crucial task for environmental managers and conservation biologists. Modeling and evaluating wildlife habitat quality based on the Geographic Information Systems (GIS) technique provides new opportunities for enhancing model predictability.<BR>Methods: We developed a GIS-based habitat suitability index (HSI) model for Korean water deer (Hydropotes inermis argyropus) in Chungnam province, Korea, where they are a significant cause of damage to vegetables and crops. The model was based primarily on logistic regression analysis and was used to assess the impact of multiple variables, such as landscape patterns and structures, topographic characteristics, and human disturbance, on habitat suitability for the species. After developing the model, we employed it to produce a habitat-suitability map.<BR>Results: The HSI model yielded a p-value of 0.339 (χ² = 9.033) and a 74.0% correct prediction rate for the overall predicted data. The model also demonstrated that 42.4% of the province is covered in poor-quality habitat, while Korean water deer prefer fair-quality habitats (mean HSI = 0.50). In addition, the observation probability increased when HSI values rose, meaning that the model has good predictive power.<BR>Conclusion: Associations between landscape patterns and habitat requirements could be utilized to build accurate, easy-to-apply, predictive models for the habitats of wild species. The HSI model and habitat-suitability map provide solid foundations on which to build effective wildlife management and Agri-Environment policies with local governments to conserve endangered species.

Agri-Environmental Indicators: A Selected Review to Support Impact Assessment of New EU Green Deal Policies

Every intervention of planning, implementation, and monitoring of agricultural and agri-environmental policies requires assessment tools that should have the characteristics of relevance, completeness, interpretability, data quality, efficiency, and overlapping. Despite the extensive selection of bibliographies and numerous projects designed to develop agri-environmental indicators necessary for assessing the sustainability of new policies, it is difficult to have an integrated and updated set of indicators available, which can be an effective and practical application tool to assists policymakers, researchers, and actors in policy design, monitoring and impact assessment. Particularly, such a need is pressing to face the new environmental challenges imposed by the upcoming European Union Green Deal on the Common Agricultural Policy (CAP) post 2023. This study, therefore, aims to fill this gap by proposing a selection methodology and different pools of agri-environmental indicators differentiated based on a scale approach (crop-farm-district-region). Furthermore, we have attempted to apply our approach by quantifying selected indicators for a specific evaluation necessity, represented in this case by an assessment of the environmental impact of land use change induced by CAP greening requirements in the Northern Italy context. Results of this validation show original crops’ impacts comparison, but also highlight great knowledge gaps in the available literature.

Increased reliance on insecticide applications in Canada linked to simplified agricultural landscapes.

Intensification of agriculture and increased insecticide use have been implicated in global losses of farmland biodiversity and ecosystem services. We hypothesized that increased insecticide applications (proportion of area treated with insecticides) in Canada's expansive agricultural landscapes are due, in part, to shifts toward more simplified landscapes. To assess this relationship, we analyzed data from the Canadian Census of Agriculture spanning 20 years including five census periods (1996-2016) and across 225 census units within the four major agricultural regions of Pacific, Prairie, Central, and Atlantic Canada. Generalized mixed effects models were used to evaluate if changes in landscape simplification - defined as the proportion of farmland in crops (cereals, oilseeds, pulses and fruit/vegetables) - alongside other farming and climatic variables, influenced insecticide applications over time. Bayesian spatial-temporal models were further used to estimate the strength of the relationship with landscape simplification over time. We found that landscape simplification increased in 89% and insecticide applications increased in 70% of the Census Division spatial units during the 1996-2016 period. Nationally, significant increases in landscape simplification were observed in the two most agriculturally intensive regions of Prairie (from 55% to 63%) and Central (from 51% to 60%) Canada. For both regions, landscape simplification was a strong and significant predictor of higher insecticide applications, even after accounting for other factors such as climate, farm economics, farm size and land use practices (e.g., area in cash crops and tillage). If current trends continue, we estimated that insecticide applications will increase another 10%-20% by 2036 as a result of landscape simplification alone. To avoid increased reliance on toxic insecticides, agri-environmental policies need to consider that losing diverse natural habitat can increase insect pest pressure and resistance with negative environmental consequences extending beyond the field.

Life cycle assessment of a short-rotation coppice willow riparian buffer strip for farm nutrient mitigation and renewable energy production

As agricultural activity intensifies across Europe there is growing concern over water quality. Agricultural run-off is a leading cause of freshwater degradation. Simultaneously there is a continually increasing drive to promote renewable energy and reduce greenhouse gas emissions. Willow coppice planted as a riparian buffer has been suggested as a solution to help mitigate these problems. However, there is limited research into the use of such a system and several key knowledge gaps remain, such as, the energy ratio of the system is not known, and a fully harvested site has yet to be analysed in the literature. The aim of this research is to fill these knowledge gaps to help inform agri-environmental policy. To do this a life cycle assessment was carried out on an established willow buffer system, considering the global warming potential, eutrophication potential, acidification potential and cumulative energy demand impact categories, alongside the calculation of the energy ratio. To our knowledge it is the first site to be fully harvested and for which a full life cycle assessment has been carried out. The willow was combusted to fuel a district heating system. Key results showed emissions of 4.66 kg CO2eq GJheatout−1 and 0.01 kg SO2eq GJheatout−1, both of which are significant reductions compared to an oil heating system (95% reductions for both impact categories). The system also resulted in the permanent nutrient removal of 55.36 kg PO43−eq ha−1 yr−1 and had an energy ratio of 17.4, which could rise to 64 depending on the harvest method.

Socio-psychological factors influencing intent to adopt conservation practices in the Minnesota River Basin

In the upper Midwestern United States, one of the central goals of agri-environmental policy is to reduce environmental and water quality degradation resulting from agriculture without sacrificing production. The primary tool available to policymakers is offering farmers incentives to voluntarily adopt more conservation practices, often known as Best Management Practices (BMPs). Using the Theory of Planned Behavior (TPB) and Diffusion of Innovation (DoI) frameworks, we surveyed 2000 agricultural landowners in the Minnesota River Basin to explore the socio-psychological drivers of the adoption decisions for specific BMPs such as wetlands, cover crops, and nutrient management. We found that attitude (both favorable and unfavorable), awareness of environmental problems, and appreciation of ecosystem services significantly affected landowners’ adoption intentions for the three BMPs. We applied landowner segmentation analysis and compared both the socio-psychological and socio-demographic features among different landowner segments (i.e. environmentally-conscious landowners, engaging-absentee landowners, and adoption-averse landowners). Our study can inform the development of targeted conservation policies for various landowner types to motivate BMPs adoption.

Political Science on Agri-Environmental Policy: From a Perspective of Environmental Policy Integration

Political Science on Agri-Environmental Policy: From a Perspective of Environmental Policy Integration

Territorial agri-environmental measures and inequality: some insights from the French case

Given the challenge of prejudging whether contracting a MAEt - a territorial agri-environmental policy in France - constitutes an environmental effort on the part of the farmers, this study addresses questions of fairness raised by MAEt. Although the policy is focused on improving environment quality, there are consequences in terms of equity of access and the level of compensation obtained. The study employed statistics over the period of 2007-2013 to identify farms with access to MAEt and the associated inequalities. Contracting farmers are similar to those receiving other direct subsidies; thus, the same equity issues are addressed. However, monetary compensation does not appear to worsen income inequality between farmers. Finally, a focus on MAEt implementation in three regions highlights the key role of contrasted but persistent logics in the definition of priority areas, a hint at a possible lack of realignment of the MAEt scheme after 2013.

European Agri-environmental Policy: Evolution, Effectiveness, and Challenges

European Agri-environmental Policy: Evolution, Effectiveness, and Challenges

Monitoring Plant Diversity to Support Agri-Environmental Schemes: Evaluating Statistical Models Informed by Satellite and Local Factors in Southern European Mountain Pastoral Systems

The spatial monitoring of plant diversity in the endangered species-rich grasslands of European mountain pastoral systems is an important step for fairer and more efficient Agri-Environmental policy schemes supporting conservation. This study assessed the underlying support for a spatially explicit monitoring of plant species richness at parcel level (policy making scale) in Southern European mountain grasslands, with statistical models informed by Sentinel-2 satellite and environmental factors. Twenty-four grassland parcels were surveyed for species richness in the Peneda-Gerês National Park, northern Portugal. Using a multi-model inference approach, three competing hypotheses guided by the species-scaling theoretical framework were established: species–area (P1), species–energy (P2) and species–spectral heterogeneity (P3), each representing a candidate spatial pathway to predict species richness. To evaluate the statistical support of each spatial pathway, generalized linear models were fitted and model selection based on Akaike information criterion (AIC) was conducted. Later, the performance of the most supported spatial pathway(s) was assessed using a leave-one-out cross validation. A model guided by the species–energy hypothesis (P2) was the most parsimonious spatial pathway to monitor plant species richness in mountain grassland parcels (P2, AICc = 137.6, ∆AIC = 0.0, wi = 0.97). Species–area and species–spectral heterogeneity pathways (P1 and P3) were less statistically supported (ΔAICc values in the range 5.7–10.0). The underlying support of the species–energy spatial pathway was based on Sentinel-2 satellite data, namely on the near-infrared (NIR) green ratio in the spring season (NIR/Greenspring) and on its ratio of change between spring and summer (NIR/Greenchange). Both predictor variables related negatively to species richness. Grassland parcels with lower values of near-infrared (NIR) green ratio and lower seasonal amplitude presented higher species richness records. The leave-one-out cross validation indicated a moderate performance of the species–energy spatial pathway in predicting species richness in the grassland parcels covered by the dataset (R2 = 0.44, RMSE = 4.3 species, MAE = 3.5 species). Overall, a species–energy framework based on Sentinel 2 data resulted in a promising spatial pathway for the monitoring of species richness in mountain grassland parcels and for informing decision making on Agri-Environmental policy schemes. The near-infrared (NIR) green ratio and its change in time seems a relevant variable to deliver predictions for plant species richness and further research should be conducted on that.

Understanding diversity in farmers’ routinized crop protection practices

Present-day agricultural crop protection relies heavily on synthetic pesticides, which are known to adversely affect the environment and human health. As remediation, European agricultural policies strive for a transition to low-pesticide agriculture. However, these policy efforts have so far shown limited success. We argue that neglecting the diversity of the according routinized practices belongs to the reasons for that limited success. We specifically investigate how farmers' current local crop protection practices differ. Methodologically, the article is based on semi-structured interviews with farmers and crop protection experts as well as on qualitative data from a survey among Swiss farmers. Using practice theory to analyze our data, we identify the meanings, materials and competences in farmers’ practice narratives. From our analysis, five types of routinized crop protection practice emerge, revealing a picture of diversity, also in their responses to current incentive-based agri-environmental policy instruments. This diversity cannot be accommodated by a one-size-fits-all policy approach but rather requires a balanced mix, for example of command-and-control instruments, financial incentives and extension services.

Agri-environmental policies in Indonesian and Thailand: a comparison

After introducing the Green Revolution in Indonesia and the Sustainable Farming System in Thailand, environmental issues in the agricultural sector became an interesting topic. This article discusses the efforts of the Governments of Indonesia and Thailand in implementing Agri-environmental policies (AEPs). The implementation of AEPs has become a discourse that in the last few decades has played an increasingly vital role for the government to encourage the Environmental Performance Index (EPI) and the Sustainable Nitrogen Management Index (SNMI). Indonesia and Thailand are two developing countries in the Asia Pacific that have great attention in implementing AEPs. Therefore, this research has two main objectives: 1) Analyzing the determinants of successful implementation of AEPs in the two countries, and 2) Analyzing the role of AEPs in each country for improving the EPI and SNMI. The method used in this research is comparative descriptive with a qualitative approach. Meanwhile, the data collection technique was carried out by studying documentation from various sources related to AEPs. The results show that Indonesia’s AEPs, the Green Revolution, improve the SNMI indicators. Meanwhile, the determinant of the success of the AEPs, namely the Sustainable Farming System in Thailand, is in optimizing the EPI.

Actor motivations to engage with collaborative agri-environmental policy: An assemblage based exploration

Governments around the world are seeking to achieve socially just transitions to environmentally sustainable modes of agricultural production. Policy makers have increasingly sought to engage an array of societal actors in the collaborative design and implementation of associated policies, which we refer to as Agri-Environmental Policy (AEP) initiatives. Yet, the existing literature includes little context specific exploration of the motivations of those who engage with such initiatives. This paper addresses this gap by exploring the motivations of a small group of actors who established and coordinated a collaborative group to apply to one AEP initiative in Ireland – the European Innovation Partnership for Agricultural Productivity and Sustainability (EIP-AGRI). This group included three farmers, an agri-environmental policy advocate, and a research scientist. Drawing on assemblage literature, we illustrate how each of these actors' motivations emerged 1) based on the specific relationships in which they operated and 2) based on their imagining of potential future scenarios, which they sought to actualise through EIP-AGRI. This paper thus provides a qualitative account of how motivations emerge as different actors creatively navigate complex sets of relationships. We illustrate the utility of an assemblage approach to explore such motivations in ways that account for specific contexts and the capacity of each actor to engage with possible futures. We conclude that the capacity of collaborative approaches to AEP to appeal to actors from different backgrounds relies heavily on such actors’ ability to envisage and anticipate new possibilities. This line of exploration helps us to better understand the extent to which collaborative AEP may align the multiple goals associated with transitioning to environmentally sustainable and socially just food production systems.

Ecosystem accounting to support the Common Agricultural Policy

The System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA EA) provides an integrated statistical framework which organizes spatially explicit data on environmental quality, natural capital and ecosystem services and links this information to economic activities such as agriculture. In this paper we assess how the SEEA EA can support the monitoring and evaluation of environmental objectives of the Common Agricultural Policy (CAP). We focus on the Netherlands, for which an elaborate set of SEEA EA accounts has been published, and the themes of nitrogen pollution and farmland biodiversity. We studied the completeness of indicators included in the accounts, their quality and analysed how the accounts could support agri-environmental reporting, agri-environmental measures effectiveness assessments, and results-based payments to farmers. As a reference we used the Driving forces – Pressures – State – Impacts - Responses (DPSIR) framework. The Dutch SEEA EA accounts only include half of the indicators which we considered essential to assess the effects of farming on natural capital and ecosystem services for the two studied environmental themes. However, most gaps in the accounts could be filled with other publicly available environmental monitoring data. Regarding N pollution, the availability and reliability of indicators at landscape and farm scales are not sufficient to support the assessment of agri-environmental measures effectiveness and results-based payments to decrease N pollution. The accounts have a higher potential to support the assessment of measures to conserve farmland biodiversity, in particular due to high resolution maps of ecosystem extent and ecosystem services flows. The potential of the SEEA EA accounts may be more limited in other countries where ecosystem accounting has only recently started. However, the SEEA EA is also implemented at the European Union scale, so that SEEA EA indicators will gradually become available for all European countries. To enhance the relevance of the SEEA EA in the agri-environmental policy area, we recommend to integrate information on farming emissions (externalities) recorded in the SEEA Central Framework with SEEA EA accounts and evaluate the applicability of SEEA EA accounts for case studies at landscape and farm scales. Our research shows that the Dutch SEEA EA accounts, complemented with other data sources, have potential to strongly enhance the CAP monitoring and evaluation framework but further steps need to be taken to fill data gaps.

Key policy questions for ex-ante impact assessment of European agricultural and rural policies

Policies in the agricultural and rural sectors are of key importance in shaping their sustainable development. These policies are changing from market-based policies to policies that aim to influence farmers’ decision-making. Thus, the scientific literature supporting evidence-based policy-making must develop models that simulate individual decision-making (IDM) by farmers. This study aims to understand key policy objectives, related policy questions and benchmark scenarios relevant to the European agricultural sector to define the research agenda for a suite of IDM models. This research goal has been addressed following a five-step process that involved different research tools and heterogeneous actors, including key stakeholders. Results suggest that environmental policy objectives are the most relevant for European agriculture in the coming decades. Thus, the scenario modelling exercise should focus mainly on the agri-environmental policies’ impacts while properly considering the potential trade-offs between economic and environmental objectives.

Water quality issues and agriculture: An international review of innovative policy schemes

Current agri-environmental policies are facing challenges to protect the environment, including in delivering water quality improvements. These difficulties are mainly due to payment restrictions and field or farm scale limitations in existing policy schemes. Innovative approaches have emerged in the last decades to overcome these constraints, such as market-based, landscape-scale and food-chain approaches. In order to understand the potential of these approaches to deal with water quality issues, we have analysed the design features of 62 innovative agri-environmental schemes. We grouped them into nine types of instruments that could provide benefits on water quality and we identified three main drivers for change that are: rewarding environmental outcomes, encouraging collaboration between rural stakeholders and certifying agri-environmental practices within the agri-food chain. The diversity of the schemes reviewed emphasizes the importance of the local context, which strongly conditions the effectiveness of instruments. Furthermore, mixing several schemes seems promising to encompass multiple governance levels involving both public and private actors.