The idea of green infrastructure (GI) has generated great interest and creativity in addressing a range of challenging and expensive environmental problems, from coastal resilience to control of combined sewer overflows (CSOs). The appeal of GI stems from its cost savings compared to traditional “gray” infrastructure and the multiple benefits it provides, including biodiversity, aesthetics, and carbon sequestration. For example, a “green” approach to controlling CSOs in New York City saved $1.5 billion compared to a “gray” approach. Despite these advantages, GI still does not have detailed design and reliability specifications as compared to engineered gray infrastructure, potentially hindering its adoption. In this paper, we review some of the potential applications of GI in modern environmental science and discuss how reliability and associated (un)certainty in net benefits need to be addressed to realize the potential of this new approach.

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.

This paper presents research on the benefits of removing legacy pollutants in Great Lakes Areas of Concern (AOCs). AOCs are heavily polluted coastal locations identified as priorities for restoration under the Great Lakes Water Quality Agreement (GLWQA) between the United States and Canada. Legacy pollutants pose a human and environmental health risk that can limit opportunities for redevelopment, recreation, and wildlife habitats. The AOC program improves water quality through remediation and restoration projects, which may increase the desirability of living in proximity to AOCs. In this paper, we estimate the economic benefit of cleaning up part of the Milwaukee Estuary AOC with a two-part sorting model using panel data on neighborhood populations and moving decisions before and after a series of remediation actions. Our results provide evidence that residents value remediation, though estimates are sensitive to the definition of the cleanup area. The average annual benefit for a household living near the AOC just downstream of cleanup is $268, with a range of $28-$499 depending on their race and tenure group; the aggregate benefit is $350 million. Results indicate a large difference in benefits between renters and owners but statistically insignificant differences between race groups.

In the coming decades, promoting the production of ecosystem service provisioning will become increasingly important in the U.S. Northeast, which is expected to experience a number of impacts as a result of climate change, including rising temperatures, changes in precipitation and seasonality, and sea-level rise, among others (U.S. Global Change Research Program 2020). Incentives have been shown to motivate the adoption of sustainable production practices that provision ecosystem services across different types of working landscapes. Using data from a recent landscape assessment in the Northeast, this paper finds an incredible breadth of programs available to producers across a variety of working landscapes (e.g., agricultural lands and working forests) and for different production practices. These data also point to critical gaps in current programming and also highlight important opportunities for programmatic synergy and more holistic program design going forward. This paper concludes by discussing the results in the context of four main themes of particular relevance to the U.S. Northeast which include (1) working landbase and infrastructure, (2) livelihood provisioning, (3) scale, and (4) resilience.

Research on ecosystem services (ES) is heavily concentrated on ecological and economic indicators and values, with a much more limited understanding of communities’ dependence on cultural ES. That body of research is also typically focused on current generations and generates limited insights into the intergenerational dynamics of ES dependence. We use a survey of six palm harvesting communities in coastal western Ecuador to assess the livelihood dependence of four generations on 17 ES provided by the ivory palm, a near-threatened keystone species in Ecuador, Colombia, and Panama. Despite the historical prominence of the use of the ivory palm’s nut, we find that dependence is highest for regulating, supporting, and cultural ES, a result that holds across generations. We find a negative association between the current generation’s dependence on the ivory palm’s provisioning ES and that of their grandparents, who experienced the historical boom of the ivory palm’s nut exports. In contrast, respondents expect the future generation’s dependence to be positively associated with that of the grandparents’ generation. We find that provisioning ES have a complementary relationship with cultural ES and a substitutive relationship with supporting ES. Relationships across ES categories can be reversed from one generation to the next.

Green rooftops, also known as vegetated roofs, will play a critical role in enhancing the resilience of urban areas in the face of climate change and other contemporary environmental and social challenges. To ensure the optimal design and implementation of these green technologies, it is vital to understand the public’s preferences, values, and attitudes toward the government support for green rooftops. This study employs contingent valuation methods, specifically utilizing a payment card and a choice experiment, to investigate these topics that have received inadequate exploration within the current body of literature. Our findings indicate that 45% of the public is aware of green rooftops, and the most desired features on an extensive green rooftop, ranked by importance, are: flowers, grass, trees, and walking paths. The majority (79%) of the public supports a federally proposed legislation currently under review (the Public School Green Rooftop Program) and has a mean willingness to pay of approximately $176 per household as a one-time payment. Additionally, the results show that individuals place a higher value on green rooftops that incorporate solar energy technology compared to those without. Furthermore, there is a perceived, loss of value when access to a green rooftop is limited, as opposed to having open access.

Governments need tools to analyze trade-offs for freshwater policy, yet valuation estimates from the literature can be difficult to deploy in a policy setting. Obstacles to benefit transfer include (i) difficulties in scaling up local estimates, (ii) water quality attributes that cannot be linked to policy, and (iii) surveys positing large, unrealistic water quality changes. Focusing on freshwater rivers and streams in New Zealand, we develop and implement a nationwide discrete choice stated preference study aimed at future benefit transfer. The stated provision mechanism and environmental commodity being valued are specified at the regional council level, which is the administrative unit for policy implementation. The survey is administered on a national scale with three attributes – nutrients, water clarity, and E. coli levels – which were chosen to align with government policy levers and salience to the public. Estimation results demonstrate positive and significant willingness to pay values for improvements in each attribute, with magnitudes that are comparable to a recent referendum vote on a water quality tax. To illustrate the utility of our study, we apply the results to a recent policy analyzed by New Zealand’s Ministry for the Environment and estimate nationwide annual benefits of NZ $115 million ($77 million USD).

With its varied landscape of hills and mountains, New Zealand has an abundance of marginal land on its slopes. This land is currently used in a variety of enterprises, such as pasture and farmland. However, marginal land is typically associated with higher rates of erosion, shallow topsoil, expensive fencing, and other issues like livestock deaths from falls. There is currently interest in deploying these marginal lands to different uses to align with several environmental and production-related goals. This paper contributes to the discussion on marginal land by exploring three different scenarios related to afforestation in the Manawatu catchment area. To analyze these scenarios, we bring together several complex and spatially explicit data sets which are linked using economic modeling tools and benefits transfer methods. The combination of these tools and data sets allows us to produce several important quantitative and qualitative outputs. Where possible, quantitative predictions are monetized, allowing a benefit-cost analysis of the proposed scenarios.

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.

The use of stated preference methods with monetary payments in developing countries can be problematic as barter and paying with labor are common in rural areas. In response, a growing number of stated preference studies explore using monetary and nonmonetary payment options. We contribute to this literature by exploring the impact of monetary vs. labor payment options on values elicited from choice experiment studies conducted in rural developing country settings. We also contribute to the literature by comparing data-gathering methods, specifically individual surveys vs. group information sessions. Our application is the restoration of an ancient irrigation system known as cascading tank systems in Sri Lanka. We conduct a choice experiment to understand the willingness to pay/willingness to contribute of rural households to restore these irrigation systems. We find that in the individual survey setting, there are no significant differences between monetary and labor payments. We also find that there is no difference between the group and individual survey settings for the monetary payment treatment. For the labor payment treatment, the group setting results in a positive payment coefficient for the labor payment attribute. This highlights that labor payments should be used cautiously in group evaluation settings.