What's new?

 

2021-08-09 – 'Predicting uptake of a malignant catarrhal fever vaccine by pastoralists in northern Tanzania: opportunities for improving livelihoods and ecosystem health' forthcoming in Ecological Economics

We study Tanzania pastoralis' preferences and WTP for a new vaccine for MCF disease of their cattle. Vaccine's characteristics and price can be used to predict consumers' choices when the product is made available in the market, which we will verify in the near future.

 

2021-05-13 – 'Increasing the cost-effectiveness of nutrient reduction targets using different spatial scales' forthcoming in Science of The Total Environment

This multidisciplinary study investigates the potential gains in cost-effectiveness from changing the spatial scale at which nutrient reduction targets are set for the Baltic Sea, focusing on nutrient loadings associated with agriculture. A novel highly disaggregated model, which represents decreases in agricultural profits, changes in root zone N concentrations and transport to the Baltic Sea is proposed, and is then used to estimate the gains in cost-effectiveness from changing the spatial scale of nutrient reduction targets. The results have important implications for both domestic and international policy design for achieving water quality improvements where non-point pollution is a key stressor of water quality.

 

2021-05-10 – 'Information use and its effects on the valuation of agricultural genetic resources' forthcoming in Land Economics

This study looks at public preferences in Finland for conserving agricultural genetic resources. We investigate the demand for and the effects of information about unfamiliar public goods.

 

2020-12-01 – New book 'Environmental Valuation with Discrete Choice Experiments' published

This is our new textbook combining state-of-the-art guidance on design, implementation and data analysis for discrete choice experiments.

 

2020-10-02 – 'Accounting for spatial heterogeneity of preferences in discrete choice models' forthcoming in Central European Journal of Economic Modelling and Econometrics

This paper proposes a novel way to account for spatial dependencies in discrete choice data and compares its performance with starndard approaches using simulated data.