Climate-smart agricultural and forestry (CSAF) practices prevent greenhouse gas emissions from occurring or increase carbon sequestration. I examine how the development of U.S. CSAF incentives shifted from offset markets to biofuel regulations over time. My perspective is informed by two professional roles I had in developing these standards. First, as an economist at the Chicago Climate Exchange, I developed CSAF offset protocols between 2007 and 2010. Second, between 2022 and 2024, I was an economist at the U.S. Department of Agriculture (USDA) when USDA developed a climate-smart agriculture pilot protocol for the sustainable aviation fuel blender’s tax credit. Twenty years ago, there were no U.S. biofuel mandates and CSAF incentives were conceptualized as occurring through offset markets. I explain how, in contrast to cap-and-trade programs, greenhouse gas emissions from agricultural and forestry practices are already included in the baseline of biofuel regulations. This implies that additionality issues, which have impeded the development of CSAF offset standards, are not as applicable to biofuel programs. Specifically, I examine the development of agricultural soil carbon, livestock digester, and forest carbon protocols as case studies. I conclude by discussing how CSAF crediting may evolve in the future.

This paper hypothesizes that respondents in contingent valuation surveys may form different benefit and cost levels that deviate from the levels specified by the researcher. The conceptual framework investigates potential biases based on the direction of deviations. Survey data on the restoration of wetlands in Tampa Bay show that a significant portion of the respondents deviate from the benefit and cost levels presented in the scenario. Empirical results indicate that willingness-to-pay (WTP) estimates are very sensitive to the perceived benefit and cost levels. Depending on the direction of the deviations, WTP estimates could fluctuate up to +61 percent and −82 percent, compared to the estimate from those who evaluate the scenario at the presented levels.

Animal welfare is often ignored in decision-making, despite widespread agreement about its importance. This is partly because of a lack of quantitative methods to assess the impacts of policies on humans and nonhumans alike on a common scale. At the same time, recent work in economics, philosophy, and animal welfare science has made progress on the fundamental theoretical challenge of estimating the well-being potential of different species on a single scale. By combining these estimates of each species’ well-being potential with assessments of how various policies impact the quality of life for these species, along with the number of animals affected, we can arrive at a framework for estimating the impact of policies on animal health and well-being. This framework allows for a quantifiable comparison between policies affecting humans and animals. For instance, it enables us to compare human QALYs to animal QALYs tailored to specific species. Hence, the intrinsic value of animal welfare impacts of policies can be monetized on the same scale as market and non-market impact for humans, facilitating benefit–cost analysis. Many challenges remain though, including issues of population ethics, political feasibility, and new complexities in addressing equity and uncertainty.

The presence of monitoring institutions affects quality and effort of leaders. We investigate the effect of intensified monitoring on the ability and effort of leaders for a sample of forest user groups in Ethiopia, and find experimental and non-experimental evidence of an important trade-off: monitoring increases leaders' effort but lowers their quality in terms of education and experience. This effort–ability trade-off only occurs in the presence of alternative income opportunities (affecting the opportunity cost of time) and only among a subsample of leaders with low prosocial motivation. For our context, we document that the net effect of monitoring on economic outcomes is positive.

A theoretically consistent structural model facilitates definition and measurement of use and non-use benefits of ecosystem services. Unlike many previous approaches that utilize multiple stated choice situations, we apply this conceptual framework to a travel cost random utility model and a consequential single referendum contingent valuation research design for simultaneously estimating use and non-use willingness to pay for environmental quality improvement. We employ Monte Carlo generated data to evaluate properties of key parameters and examine the robustness of this method of measuring use and non-use values associated with quality change. The simulation study confirms that this new method, combined with simulated revealed and stated preference data can generally, but not always, be applied to successfully identify use and non-use values of various ecosystems while consistency is ensured.

Using the case of chronic wasting disease (CWD) in white-tailed deer, we estimated hunters’ willingness-to-pay (WTP) for testing their game and determined how their perception of disease risk, trust, and confidence in wildlife agency affected hunter participation in ongoing disease surveillance. The average WTP for testing was $23.75 per deer, and it was positively related to trust and confidence in the wildlife agency and the perception of risk about deer populations in the declining area and the pathogen spreading to other areas. These findings imply that implementing active outreach programs can improve hunter participation in user-paid systems for CWD surveillance.

Land protection not only supports vital ecosystem services but also poses important challenges for social equity. Three key concerns emerge from economic frameworks about land protection policies: potential lost local economic development, reinforcement of existing structural inequalities, and disparities in access to the benefits of protected land. This article reviews evidence for each concern and identifies research needs as well as potential improvements in policy that could better support equity goals. Pathways forward towards greater equity include specific mechanisms that can ensure local communities benefit from land protection, attention to issues of spatial impacts and timing, explicit prioritization of equity in land protection initiatives, and community-centred processes. Economists have and can continue to play a role in strengthening these dimensions of land protection policies.

Climate change is one of the largest threats for biodiversity as changing climatic conditions often make existing habitat sites less suitable. This poses new challenges for species conservation, in particular in agricultural landscapes, where climate change may also induce modifications in agricultural land use. To conserve species in agricultural landscapes, agri-environment schemes (AES) which compensate farmers for implementing conservation measures are commonly used. However, current research on the cost-effective design of AES largely ignores necessary adaptations of conservation measures given climate change. We develop a climate-ecological-economic (CEE) model to examine how the cost-effective design of AES has to be modified under climate change. We apply the model to the conservation of eight meadow bird species in Northern Germany and determine the cost-effective conservation measures under recent and future climatic conditions. We find that the timing of conservation measures in the AES needs to be changed in the RCP8.5 scenario given the species’ phenological adaptations and the impact of extreme events (inundations) on costs. The novelty of the research lies in the development of a CEE model which considers both spatial and temporal changes in costs and benefits to develop recommendations for the cost-effective design of AES under climate change.

We present an optimal control model to simultaneously determine the optimal planting density, thinning schedules, harvest age, and revenues of an even-aged longleaf pine (Pinus palustris Mill) stand, an iconic species in the Southeastern United States. We assume that the forest stand is managed for timber production and carbon sequestration under different site indexes—a measurement of potential forest productivity. Our simulation results show that the optimal planting density tends to increase when longleaf pine is managed in medium and high site indexes. Furthermore, the optimal harvest age tends to be extended with payments for carbon sequestration.

This paper presents a pedagogical exercise to explore the economics of price-based fisheries bycatch. In the exercise students experience the economic incentives that lead to bycatch due to highgrading; the discarding of low-value fish. We first discuss existing fisheries economics pedagogical activities and how our exercise is distinct. We then identify over forty economics, environmental studies, geography, management, and philosophy courses where the exercise could be played. Next, we describe the game and share results and student feedback. Finally, we provide discussion prompts and extensions to illustrate how incentives and policies can change fishing behavior to lead to sustainable fisheries.

The water purification functions of forests represent one of the most frequently invoked examples of nonmarket ecosystem services that are economically valuable. This study quantifies the monetary value of forests' water purification services in the form of the ensuing cost savings of municipal drinking water treatment, using a rich panel dataset from China's Sichuan province. Moreover, this study has undertaken a novel spatial piecewise approach to investigate the spatial patterns of such cost savings delivered by forests at different distances from the water intake point. The estimation results find that forests within a 2 km radius upstream from the water intake point have the most sizeable and statistically significant cost saving effect. For forests within a 3 km radius, this effect becomes somewhat smaller but remains statistically significant. Beyond a 4 km radius, this effect becomes notably smaller and statistically equal to zero. Our analysis facilitates the optimal spatial targeting of forest conservation.

Using a production function approach, we estimate that the economic value of biotic pollination to Georgia’s agriculture increased from $425 million in 2009 to $488 million in 2017 in real terms. We perform spatial analysis to reveal county-level spatial patterns and temporal trends in that value. Using a unique set of pollinator survey data, we also compare the locations of biotic pollinators to the areas they bring the most economic value to, which provides insights on the variation in the dependency of the crop mix to pollination services.

Since 2017, the Japanese government has been phasing out the use of non-native bumblebees as greenhouse tomato pollinators due to their ecological risks. We used an online questionnaire to investigate whether pollination methods affect consumers’ willingness to pay (WTP) for tomatoes. We found that consumers valued the use of non-native bumblebees more than hormonal treatment and native more than non-native bees. Moreover, we found that informing consumers of the ecological risks increased WTP for native bumblebees and hormonal treatment. These results suggest that pollination method labeling may help protect ecosystems from the threat of non-native species.

Agriculture in Sub-Saharan Africa is regularly threatened by the occurrence of weather shocks. We wonder whether the way farmers respond to shocks can affect land use and induce deforestation. Reviewing the existing literature, we found that this question has only been marginally studied. Drawing from the adaptation and land-use change literatures, we then expose the mechanisms through which weather shocks can push farmers to induce land-use change, or conversely to foster conservation. As farmers cope with shocks, their responses can cause degradations in ecosystems which could, in the long term, encourage deforestation and land-use change. To prepare for the next growing season, or adapt to climate variability and risk in the longer term, farmers also make structural adjustments in their farm and land-use decisions, which may lead to changes in land holding. They also resort to adaptation strategies that can indirectly affect land-use decisions by affecting households’ resources (labor, income).

Biodiversity points are a quantitative measure for biodiversity. For over a decade, biodiversity points are being applied in the Netherlands for measuring the impact of roads, enclosure dams, and other water management projects on the non-use value of biodiversity. Biodiversity points are quite similar to the quality-adjusted life years used for cost-effectiveness analysis of healthcare treatments. Biodiversity points can be calculated by multiplying the size of the ecotope (e.g., number of hectare), the ecological quality of the ecotope (0–100 %), and the ecological scarcity of each type of ecotope. For many infrastructure projects, the impact on the non-use value of biodiversity can be a principal purpose or a major co-benefit or trade-off, for example, for a park, a fish sluice, a road, an ecoduct, an enclosure dam, or a marine protected area. Biodiversity points are a simple, transparent, and standardized way to aggregate and quantify the qualitative or ordinal assessments by ecological experts. For measuring the non-use value of biodiversity, they are also more informative than valuation by revealed or stated preferences methods. This paper provides the first overview of the application of this method in the Dutch practice of cost–benefit analysis. It also discusses its merits and limitations. The calculation and use of biodiversity points are illustrated by four case studies.

Low and highly variable prices plague the coffee market, generating concerns that coffee farmers producing in shade systems under natural forests, as in biodiversity hotspot Oaxaca, Mexico, will abandon production and contribute to deforestation and reduced ecosystem services. Using stakeholder information, we build a setting-informed model to analyze farmers' decisions to abandon shade-grown coffee production and their reactions to policy to reduce abandonment. Exploring price premiums for bird-friendly certified coffee, payments for ecosystem services, and price floors as policies, we find that once a farmer is on the path toward abandonment, it is difficult to reverse. However, implementing policies early that are low cost to farmers – price floors and no-cost certification programs – can stem abandonment. Considering the abandonment that policy avoids per dollar spent, price floors are the most cost-effective policy, yet governments prefer certification programs that push costs onto international coffee consumers who pay the price premium.

To guide investments in ecosystem-based adaptation (EbA) in developing countries, numerous stated preference valuation studies have been implemented to assess the value of ecosystem services. These studies increasingly use time payments as an alternative to money. There is limited knowledge, however, about how to convert time to money and how the type of payment affects willingness to pay (WTP). In this study, the results of choice experiments using time and money payments are compared in the context of EbA measures in Vietnam. Six, of which five individual-specific, conversion rates are applied. WTP estimates are found to be higher for time payments. Moreover, the type of payment vehicle as well as the conversion rate has substantial effect on mean WTP and WTP distributions. We discuss implications of these results for the conversion of time to money and the use of resulting WTP estimates in cost benefit analyses in developing countries.

Rural households in Ethiopia suffer from the scarcity of grazing land and water. This article examines the economic impact of time spent looking for water and grazing lands for livestock on crop farming labor and crop output based on a nonseparable farm household model. We estimated a general Cobb-Douglas production function using 518 farmers in Ethiopia. Our results confirm a negative relationship between labor input to crop farming and resource scarcity. On average, a 1% reduction in the time spent looking for water, grazing, and straw led to an increase in food production by 0.16%, 0.28% and 0.33%, respectively.

With the aid of a lab experiment, we explored how imperfect monitoring and punishment networks impacted appropriation, punishment and beliefs in a common pool resource appropriation dilemma. We studied the differences between the complete network (with perfect monitoring and punishment, in which everyone can observe and punish everyone else) and two ‘imperfect’ networks (that systematically reduce the number of subjects who could monitor and punish others): the directed and undirected circle networks. We found that free riders were punished in all treatments, but the network topology impacted the type of punishment: the undirected circle induced more severe punishment and prosocial punishment compared to the other two networks. Both imperfect networks were more efficient because the larger punishment capacity available in the complete network elicited higher punishment amount.

This article discusses prospects and challenges related to the use of meta-regression models (MRMs) for ecosystem service benefit transfer, with an emphasis on validity criteria and post-estimation procedures given sparse attention in the ecosystem services literature. We illustrate these topics using a meta-analysis of willingness to pay for water quality changes that support aquatic ecosystem services and the application of this model to estimate water quality benefits under alternative riparian buffer restoration scenarios in New Hampshire's Great Bay Watershed. These illustrations highlight the advantages of MRM benefit transfers, together with the challenges and data needs encountered when quantifying ecosystem service values.