Additionality When REDD Contracts Must be Self-Enforcing

This paper examines self-enforcing contracts as a financial mechanism for reducing carbon emissions from deforestation and forest degradation when the opportunity cost of the land (i.e., landholder type) is private information and is imperfectly correlated over time (i.e., partially persistent types). Because self-enforcement limits the feasible incentives, the conservation levels are constrained by the surplus created. Regardless of the degree of persistence of such opportunity costs across contracting periods, a first-best self-enforcing contract can deliver “additional” carbon sequestration beyond the business as usual scenario only if the value of forest conservation is sufficiently high. Otherwise, self-enforcing contracts can induce some, suboptimal level of carbon sequestration. The degree of persistence of opportunity costs across periods does not affect the amount of total payments provided in the optimal menu of contracts, but greater persistence of opportunity cost types leads to contracts that feature more of the total payment as a bonus in contracts for landholders with a high opportunity cost for their land and more of the total payment as an upfront fixed payment for landholders with a low opportunity cost.     

Estimation of house price differential of urban tree cover: an application of sample selection approach

Hedonic valuation of urban forest amenities tends to assume that these attributes are exogenous to sample selection, which might render the estimated results misleading. This article intends to estimate the house price differential of urban tree cover by considering the sample selection issue. The main hypothesis is that houses with high tree cover generates higher utility to consumers, and thus leads to higher house price, ceteris paribus. It may attribute to the fact that consumers self-select into purchasing houses with high- or low-density tree cover based on some unobserved systematically different characteristics. As a result, estimates from sample selection models confirm the hypothesis that purchasing a house with high-density tree cover leads to a positive price differential compared with the low-density tree cover in Napa, Los Angeles, and that buying a low-density tree cover house results in negative price differential in Napa, Los Angeles.     

The opportunity cost of land use and the global potential for greenhouse gas mitigation in agriculture and forestry

This paper analyses the role of global land management alternatives in determining potential greenhouse gas mitigation by land-based activities in agriculture and forestry. Land-based activities are responsible for over a third of global greenhouse gas emissions, yet the economics of land-use decisions have not been explicitly modeled in global mitigation studies. In this paper, we develop a new, general equilibrium framework which effectively captures the opportunity costs of land-use decisions in agriculture and forestry, thereby allowing us to analyse competition for heterogeneous land types across and within sectors, as well as input substitution between land and other factors of production. When land-using sectors are confronted with a tax on greenhouse gas emissions, we find significant changes in the global pattern of comparative advantage across sectors, regions, and land types. Globally, we find that forest carbon sequestration is the dominant strategy for GHG emissions mitigation, while agricultural-related mitigation comes predominantly from reduced methane emissions in the ruminant livestock sector, followed by fertilizer and methane emissions from paddy rice. Regionally, agricultural mitigation is a larger share of total land-use emissions abatement in the USA and China, compared to the rest of the world, and, within agriculture, disproportionately from reductions in fertilizer-related emissions. The results also show how analyses that only consider regional mitigation, may bias mitigation potential by ignoring global market interactions. For example, USA-specific analyses likely over-estimate the potential for abatement in agriculture. Finally, we note that this general equilibrium framework provides the research community with a practical methodology for explicit modeling of global land competition and land-based mitigation in comprehensive assessments of greenhouse gas mitigation options.     

An Optimal Control Model of Forest Carbon Sequestration

This study develops an optimal control model of carbon sequestration and energy abatement to explore the potential role of forests in greenhouse gas mitigation. The article shows that if carbon accumulates in the atmosphere, the rental price for carbon sequestration should rise over time. From an empirical model, we find that carbon sequestration is costly, but that landowners can sequester substantial amounts of carbon in forests mainly by increasing forestland and lengthening rotations. Forest sequestration is predicted to account for about one-third of total carbon abatement. Tropical forests store over two-thirds of this added carbon.     

Modeling Multiple-Objective Recreation Trips with Choices Over Trip Duration and Alternative Sites

Traditionally, recreation demand studies have focused on single-day, single-activity trips, despite anecdotal and empirical evidence that many recreational trips involve overnight stays and multiple purposes. This paper develops a random utility model that explores how visitors choose alternative sites and trip durations for multiple-objective trips. We focus on a recreational activity, beach visits, that appear to have significant proportions of the population taking single and multiple-day trips, and many of the multiple day trips involve multiple objectives. Multiple-duration and multiple-objective issues are incorporated in pricing trip costs. The results of the research suggest that the accepted method for incorporating travel costs into random utility models can lead to biased estimates of the structural utility parameters and, consequently, biased measures of welfare in a multiple-objective trip setting for single- and multiple-day users.     

The Value of Agricultural Economics Extension Programming: An Application of Contingent Valuation

We used contingent valuation to estimate participant willingness to pay (WTP) for agricultural economics extension programming. The data, collected from evaluation forms used for a series of outlook meetings conducted by faculty from Ohio State University, and subsequent analysis suggest participant private benefits exceeded departmental costs of conducting the program (benefit-cost ratios of 1.07 under conservative assumptions and 1.74 under moderate assumptions). We also explore the revenue generation potential from alternative program pricing and discuss the potential for developing differentiated programs to reach distinct audience segments. Additional research necessary before implementing alternative pricing or program differentiation plans is also discussed.