Abstract: Conservation investments are increasingly evaluated on the basis of their return on investment (ROI). Conservation ROI analysis quantitatively measures the costs, benefits, and risks of investments so conservancies can rank or prioritize them. This paper surveys the existing conservation ROI and related literatures. We organize our synthesis around the way studies treat recurring, core elements of ROI, as a guide for practitioners and consumers of future ROI analyses. ROI analyses involve quantification of a consistent set of elements, including the definition and measurement of the conservation objective as well as identification of the relevant baselines, the type of conservation investments evaluated, and investment costs. We document the state of the art, note some open questions, and provide suggestions for future improvements in data and methods. We also describe ways ROI analysis can be extended to a broader suite of conservation outcomes than biodiversity conservation, which is the typical focus.

Abstract: This study examines time-use for outdoor recreation during 1965 to 2007. Using data on over 47,000 individuals from six nationally representative time-use surveys, we first document time-use trends between 1965 and 2007. We then develop a two-part instrumental variable censored regression model (a hurdle model) to predict individual-level time-use. Our results show that per capita time-use in outdoor recreation has more than doubled since 1965. This long-term increase was driven largely by increased participation rate. However, in the last decade or two, per capita time-use in outdoor recreation has stayed constant or slightly decreased. This change was driven mostly by reduced time-use by active participants; participation rate has not changed considerably. Demographics, amount of leisure, and other factors all have contributed to changes over time, but their effects and relative importance vary between participation, time-use per active participant, and time periods.

Abstract: This paper provides a review of the science pertaining to all aspects of acidification in the Adirondack Park, updating an earlier review of the science (Cook et al. 2002). The review supports an ongoing social science investigation into the willingness to pay for ecological improvements that would result from reduced acid deposition. This paper builds a bridge between the physical science and social science by providing the background that will allow researchers to accurately summarize the crucial elements of ecological status and improvement in a stated preference survey.

Abstract: This study assesses the potential cost-effectiveness of incentive payment programs relative to traditional top-down regulatory programs for biological conservation. We develop site-level estimates of the opportunity cost and the nonmonetized biological benefits of protecting biodiversity hotspots in Finnish nonindustrial private forests. We then use these estimates to compare and contrast the cost-effectiveness of alternative conservation programs. Our results suggest that incentive payment programs, which tacitly capitalize on landowners’ private knowledge about the opportunity costs of conservation, may be considerably more cost-effective than traditional top-down regulatory programs.

Abstract: This study investigates the convergent validity of discrete choice contingent valuation (CV) and contingent rating/ranking (CR) methods using flexible econometric methods. Our results suggest that CV and CR can produce consistent data (achieve convergent validity) when respondent’s preferred choices and the same changes in environmental quality are considered. We also find that CR models that go beyond modeling the preferred choice and include additional ranks cannot be pooled with the CV models. Accounting for preference heterogeneity via random coefficient models and their flexible structure does not make rejection of the hypothesis of convergent validity less likely, but instead rejects the hypothesis to about the same degree or perhaps more frequently than fixed parameter models commonly used in the literature.

Abstract: The animal husbandry industry is a major emitter of methane, which is an important greenhouse gas. The industry is also a major emitter of ammonia, which is a precursor of fine particulate matter—arguably, the number-one environment-related public health threat facing the nation. We present an integrated process model of the engineering economics of technologies to reduce methane and ammonia emissions at dairy operations in California. Three policy options are explored: greenhouse gas offset credits for methane control, particulate matter offset credits for ammonia control, and expanded net metering policies to provide revenue for the sale of electricity generated from captured methane gas. Individually, any of these policies appears to be sufficient to provide the economic incentive for farm operators to reduce emissions. We report on initial steps to fully develop the integrated process model that will provide guidance for policymakers.

Abstract: This paper considers the role of incentive payment programs in eliciting, estimating, and predicting landowners’ conservation enrollments. Using both program participation and the amount of land enrolled, we develop two econometric approaches for predicting enrollments. The first is a multivariate censored regression model that handles zero enrollments and heterogeneity in the opportunity cost of enrollments by combining an inverse hyperbolic sine transformation of enrollments with alternative-specific correlation and random parameters. The second is a beta-binomial model, which recognizes that in practice elicited enrollments are essentially integer valued. We apply these approaches to Finland, where the protection of private nonindustrial forests is an important environmental policy problem. We compare both econometric approaches via cross-validation and find that the beta-binomial model predicts as well as the multivariate censored model yet has fewer parameters. The beta-binomial model also facilitates policy predictions and simulations, which we use to illustrate the framework.