Climatic conditions and weather play an important role in production agriculture. Using district level panels for 42 years from India and dynamic panel estimation procedure we estimate the impact of weather risk on cropping intensity. Our non-stationary and dynamic panel model results suggest...

The present study formalizes and quantifies the importance of uncertainty, irreversibility, and managerial flexibility for investment in a corn-stover based cellulosic biofuel plant. Using a real options model, we recover prices of gasoline that would trigger entry into the market and compare it...

We examine the role of spatial interactions in conservation easements placed on prairie pothole habitat in western Canada. One of the goals of the conservation easement program we study is to protect contiguous habitat. We identify endogenous spatial interactions among conservation easements and...

This study develops and solves a stochastic, multi-year, discrete space-time model that allows the comparative analysis between non-spatial and spatially explicit models. The solution to this model implies the Stochastic Space-Time Natural Enemy-adjusted Economic Threshold (SST-NEET) to guide...

This study offers a unique contribution to the literature by investigating the convergence of province-level carbon dioxide emission intensity among a panel of 30 provinces in China over the period 1990-2010. We use a novel, spatial dynamic panel data model to evaluate an empirically testable...

This paper evaluates the conditions under which a fish-harvester cooperative (co-op) with monopoly power represents a preferable outcome when compared to a rent dissipated fishery. Currently, United States anti-trust law prevents harvesters from coordinating to restrict output. In a fishery,...

Recently, the Environmental Protection Agency (EPA) proposed biofuel requirements for 2014 that suggest the use of ethanol would probably be lower than the volume previously envisioned in the Energy Independence and Security Act (EISA) of 2007. The impact of waiving down the mandate in the U.S.,...

In the context of bovine tuberculosis (bTB) control in New Zealand cattle, we address the problem of management under uncertain disease prevalence by integrating a model of disease transmission and Bayesian learning from testing. We show the implications of accounting for the full dynamic value...