This paper adopts a real options framework to evaluate the cost-effectiveness of four types of subsidies that aim to encourage a socially desirable land use under return uncertainties and costly reversibility of land use change. We first present a land conversion model to show how the subsidies...

Payment-for-environmental-services (PES) programs are the focus of increasing attention globally. While existing PES programs can observe who participates and who does not, the reasons for nonparticipation can be opaque. Taking advantage of a unique stated preference data set that includes a...

Payment-for-Ecosystem-Services (PES) programs are gaining appeal as flexible approaches to inducing the voluntary provision of ecosystem services (ES). Farmers, who manage agricultural ecosystems, provide important nonmarket ecosystem services to the public by their choice of production inputs...

The public demand for ecosystem services measured by willingness to pay (WTP) in contingent valuation studies provides important information for designing Payment-for-Ecosystem-Service (PES) programs. However, the hypothetical markets for contingent valuation and respondents’ unfamiliarity...

Research on payments for environmental services (PES) largely focuses on two contract types – cost-share and annual stewardship payments. But other types of transactions, such as tax credits, green insurance, and price premiums tied to environmental stewardship certification, can also promote...

This paper compares environmental and profitability outcomes for a centralized biorefinery for cellulosic ethanol that does all processing versus a biorefinery linked to a decentralized array of local depots that pretreat biomass into concentrated briquettes. The analysis uses a spatial...

In this study we conduct an impact evaluation of a complex rural development project in Central America with multiple treatments taking place simultaneously, purposive program placement and project participant freedom to opt in to project interventions. For this purpose we use propensity score...