Annual Review of Resource Economics - Volume 11, 2019

This article presents an interview with environmental economist Maureen L. Cropper. Maureen completed her Ph.D. at Cornell University and subsequently held positions at the University of California, Riverside, and the University of Southern California. At Riverside, she moved from monetary economics to environmental economics. She then landed at the University of Maryland, where she is a still a professor. She has taken on leadership roles in numerous institutional settings, including the US National Academy of Sciences and the US Environmental Protection Agency (EPA) Science Advisory Board. Her contributions to environmental economics have been groundbreaking and extensive. Together with many collaborators—including former students and colleagues at the University of Maryland, World Bank, EPA, and Resources for the Future—Maureen has produced a body of work that spans theory, methods, and empirical applied economics. Her work covers the environment, energy, climate change, and transportation in both the United States and developing countries.

Traditional top-down methods for resource management ask first what future conditions will be, then identify the best action(s) to take in response to that prediction. Even when acknowledging uncertainty about the future, standard approaches (a) characterize uncertainties probabilistically, then optimize objectives in expectation, and/or (b) develop a small number of representative scenarios to explore variation in outcomes under different policy responses. This leaves planners vulnerable to surprise if future conditions diverge from predictions. In this review, we describe contemporary approaches to decision support that address deep uncertainty about future external forcings, system responses, and stakeholder preferences for different outcomes. Many of these methods are motivated by climate change adaptation, infra-structure planning, or natural resources management, and they provide dramatic improvements in the robustness of management strategies. We outline various methods conceptually and describe how they have been applied in a range of landmark real-world planning studies.

The literature on real options shows that irreversibilities, uncertainties about future benefits and costs, and the flexibility in decision making generate benefits and costs of delaying immediate action. When applied to government policy making, real option models can lead to efficient policies that take full account of these trade-offs, but they can also cause strategic behavior that tries to delay policies through influencing important elements such as downside risks. This contribution reviews the latest developments in real option–based policy research by looking at what we know about the benefits from waiting (the good), the costs from waiting (the bad), and how strategic behavior can influence policies (the ugly). Much has been said in the literature about the good and the bad, but more work is needed to study the ugly aspects of real option–driven policies.

Computational methods are required to solve problems without closed-form solutions in environmental and resource economics. Efficiency, stability, and accuracy are key elements for computational methods. This review discusses state-of-the-art computational methods applied in environmental and resource economics, including optimal control methods for deterministic models, advances in value function iteration and time iteration for general dynamic stochastic problems, nonlinear certainty equivalent approximation, robust decision making, real option analysis, bilevel optimization, solution methods for continuous time problems, and so on. This review also clarifies the so-called curse of dimensionality, and discusses some computational techniques such as approximation methods without the curse of dimensionality and time-dependent approximation domains. Many existing economic models use simplifying and/or unrealistic assumptions with an excuse of computational feasibility, but these assumptions might be able to be relaxed if we choose an efficient computational method discussed in this review.

This review evaluates the use of spatial models for the analysis of policy making. First, we examine spatial theory and its applications in a variety of institutional settings. We discuss how the preferences of the actors involved in political processes, the steps in those processes, and the locations of the reversion policies affect the policies that emerge from the processes. To illustrate this and analyze how the rights of political actors determine the extent of policy reform and the occurrence of gridlock, we use a spatial model of European Union (EU) policy making. We apply the model to major EU reforms in two resource policy areas: the Common Agricultural Policy reforms of the past two decades and the recent reforms of the Emissions Trading System.

Since the Blue Revolution began in the late 1960s, global aquaculture production has grown rapidly. Aquaculture now accounts for over half of the world's fish for direct human consumption and is expected to approach two-thirds by 2030. With aquaculture's growth, a number of high-profile concerns have arisen, including pollution, feeding practices, disease management and antibiotic use, habitat use, non-native species, food safety, fraud, animal welfare, impacts on traditional wild fisheries, access to water and space, market competition, and genetics. Managing these concerns requires thoughtful and well-designed policies and regulations. This manuscript reviews the contributions natural resource economics has made to evaluating aquaculture policy and regulation. Despite their valuable contributions, however, economists have been largely underrepresented in the debate. The primary influencers of aquaculture policies and regulations have been traditional fisheries managers, environmental groups, and natural scientists. We identify many important areas that should be more thoroughly addressed by economists.

Hydrological investments, particularly irrigation dams, have multiple potential benefits for economic development. Dams also have financial, environmental, and distributional impacts that can affect their benefits and costs. This article reviews the evidence on the impact of dams on economic development, focusing on the levels and variability of agricultural productivity, and its effect on poverty, health, electricity generation, and flood control. We also review the evidence on irrigation efficiency and collective action of dam maintenance. Throughout the discussion, we highlight the empirical challenges that restrict the body of causally interpretable impact estimates and areas in which the evidence is particularly thin. We conclude with a discussion of emerging issues pertaining to the long-term sustainability of dams’ impacts and suggest directions for future research.

Since 2007, large and unexpected declines in generation costs for renewable energy systems, particularly solar but also wind, combined with policy measures designed to limit greenhouse gas emissions, have created a paradigm shift in energy systems. Variable renewable energy now dominates total investment in electricity power generation systems. This dominance of variable renewable energy in investment has thrust the systems integration task of matching electricity supply with demand to center stage, presenting new challenges for energy policy and planning as well as for the institutional organization of power systems. Despite these challenges, there is ample reason to believe that variable renewables will attain very high levels of penetration into energy systems, particularly in regions well endowed with solar and wind potential. Similar to their success with mobile phone telephony, many developing countries have a significant opportunity to leapfrog directly to more advanced energy technologies that are low cost, reliable, environmentally more benign, and well suited to serving dispersed rural populations.

Wood-based bioenergy development could play a vital role in attaining energy independence, reducing carbon emissions, and ensuring rural prosperity in the United States. An understanding of policies supporting wood-based bioenergy development coupled with the current status of production of various wood-based bioenergy products would better the prospects of wood-based bioenergy development in the United States. An understanding of the economic feasibility, social acceptability, and environmental externalities would contribute to effective policy prescriptions for establishing the US bioeconomy. Based on a comprehensive review of existing studies, we show that the heat and electricity derived from woody feedstocks that would prevail in the future as a commercial-level conversion technology for wood-based ethanol production are still under development. Society in general is positive about the use of woody feedstocks for bioenergy development. The production cost of wood-based ethanol and electricity generation has not reduced over time, indicating a need for targeted policy support focusing on sharing the production cost of wood-based bioenergy products. Wood-based bioenergy development could meet the need for sustainable energy production without affecting existing roundwood markets with the advent of advanced silvicultural treatments and efficient biotechnologies.

We review the fuel-food price linkage model—time-series, structural, and general or partial equilibrium models, with most attention devoted to the time-series literature. Our assessment is nested in both the discussion of general commodity prices comovement and the prediction of the most likely development of biofuel policies and production. We show that the introduction of significant biofuels policies around 2005 increased the price transmission between fossil fuels and food commodities, illustrating the intuitively expected leading role of fuel prices over food prices. Particular price linkages dynamically evolve over time, depending on the particular market under consideration. The econometric results show that owing to policy-induced trade barriers, there is no evidence of a sufficiently integrated international biofuels market with the US, European, and Brazilian markets and that biofuel policies in these countries follow separate paths.

Challenges to the conventional paradigm have isolated industrial agriculture from consumer segments exhibiting preferences for a growing array of credence attributes, including organic, locally produced, and raised using humane livestock and poultry practices. This review surveys the empirical evidence on the economic impact of the alternative to the conventional industrial agriculture paradigm that motivates these growing market segments. We define this alternative the Naturalist Paradigm. While more research is needed to completely assess the impacts of specific naturalist responses, current findings demonstrate that restrictions on industrial practices imposed by policy or consumer preferences sacrifice productivity, thereby imposing environmental costs and raising food prices. Such restrictions may also reduce choice sets of consumers, impeding consumer and producer welfare gains. The intended benefits of such practices for human, animal, or environmental well-being must be weighed against the costs they impose. Trade-offs imposed by such practices suggest that their contributions to obesity reduction in the developed world, alleviation of hunger and malnutrition among poor populations, and avoidance of environmental pollution and biodiversity loss are highly uncertain.

The economics of human nutrition has changed greatly in recent years as researchers have moved beyond supply and demand of specific foods and total calories to functional aspects of diet quality, such as nutrient composition, sustainability, and a variety of credence attributes. New kinds of data and methods allow researchers to focus on beneficial or harmful attributes of dietary patterns and the cost-effectiveness of interventions aimed at improving health through diet. This review describes some of the recent literature in nutrition economics and its implications for food policy around the world. The new economics of nutrition is benefiting from a strong foundation in the behavioral and social sciences, building on evidence from the natural and health sciences to address fundamental aspects of human well-being and sustainable development.

This review focuses on the health and nutrition impacts of food assistance programs. We focus particular attention on the United States, both because of the plethora of types of programs and associated variation and because spending on these programs is a large share of the nonmedical safety net there. We begin by reviewing the theoretical predictions concerning health and nutrition effects of these programs, also paying attention to potential mediators such as education and income. We then discuss program eligibility and size, both as caseload and in terms of spending. We next touch on identifying causal variation and opportunities for further research. The review concludes by discussing the existing literature in five broad areas: take-up and use of the programs; effects on nutrition and food consumption; other immediate effects on short-run health; impacts on other contemporaneous outcomes such as income and labor supply; and longer-run health and nutrition effects.

Mastitis is the most important production disease in dairy farming, leading to considerable inefficiency in production. In 1992, an important paper describing a simple but very useful economic framework for production diseases in animal farming was published. In a systemic literature search, 77 articles were found on the economics of mastitis. Throughout the years, little progress has been made to improve the economic framework regarding production diseases in animal farming, but methodological progress was made in the biological aspect of bioeconomic models. Research focused on the failure costs of mastitis and cost-benefit analyses of cow-level decisions (treatments). The average failure costs of mastitis were $US131 per cow per year. Future economic research should focus more on the utilization of currentlyavailable large databases. The economic framework should be extended toward mastitis as an externality of dairy production (welfare), the externalities of optimal use of chemical and pharmaceutical compounds (antimicrobials), and explaining farmers’ decisions regarding mastitis.

Precision farming enables agricultural management decisions to be tailored spatially and temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a heterogeneous entity. Through targeted use of inputs, precision farming reduces waste, thereby cutting both private variable costs and the environmental costs such as those of agrichemical residuals. At present, large farms in developed countries are the main adopters of precision farming. But its potential environmental benefits can justify greater public and private sector incentives to encourage adoption, including in small-scale farming systems in developing countries. Technological developments and big data advances continue to make precision farming tools more connected, accurate, efficient, and widely applicable. Improvements in the technical infrastructure and the legal framework can expand access to precision farming and thereby its overall societal benefits.

We highlight the extraordinary growth in private conservation via land trusts and conservation easements and describe the problems arising from the interplay of public finance and private decisions. We offer a framework for understanding the popularity of easements and land trusts and for evaluating policy reforms aimed at improving their performance. The framework, grounded in institutional and organizational economics in the tradition of Ronald Coase, Oliver Williamson, and Yoram Barzel, focuses on the measurement and monitoring costs faced by public and private stakeholders under current and prospective policy arrangements. We illustrate how the framework can be applied to contemporary debates about the appropriate tax treatment of donated easements, requirements that they be held in perpetuity, and the extent to which government should regulate private land trusts.

Biodiversity is declining worldwide, and the costs of biodiversity losses are increasingly being recognized by economists. In this article, we first review the multiple meanings of biodiversity, moving from species richness and simple abundance-weighted species counts to more complex measures that take account of taxonomic distance and functionality. We then explain the ways in which protecting biodiversity generates economic benefits in terms of direct and indirect values. Empirical approaches to estimating direct and indirect values are presented, along with a selection of recent evidence on how substantial these values are. The use of asset accounting approaches to track biodiversity values over time is discussed, in the context of sustainable development paths. Finally, we review some important challenges in valuing biodiversity that remain to be solved.

The environmental justice literature has found that the poor and people of color are disproportionately exposed to pollution. This literature has sparked a broad activist movement and several policy reforms in the United States and internationally. In this article, we review the literature documenting correlations between pollution and demographics and the history of the related movement, focusing on the United States. We then turn to the potential causal mechanisms behind the observed correlations. Given its focus on causal econometric models, we argue that economics has a comparative advantage in evaluating these mechanisms. We consider (a) profit-maximizing decisions by firms, (b) Tiebout-like utility-maximizing decisions by households in the presence of income disparities, (c) Coasean negotiations between both sides, (d) political economy explanations and governmental failures, and (e) intergenerational transmission of poverty. Proper identification of the causal mechanisms underlying observed disproportionate exposures is critical to the design of effective policy to remedy them.

Natural disaster losses have been increasing worldwide. Insurance is thought to play a critical role in improving resilience to these events by both promoting recovery and providing incentives for investments in hazard mitigation. This review first examines the functioning of disaster insurance markets broadly and then turns to reviewing empirical studies on the role of natural disaster insurance in recovery and the impacts of disaster insurance on incentives for ex ante hazard mitigation and land use. Rigorous empirical work on these topics is limited. The work that has been done suggests that insurance coverage does improve recovery outcomes, but impacts on risk reduction may be modest. More studies comparing outcomes across insured and uninsured properties are needed, particularly for better understanding the role of insurance in climate adaptation.