Policymakers are increasingly making use of benefits transfer in benefit-cost assessments of environmental policy. An important question is how big the resultant errors are, and how sensitive errors are to how the transfer is conducted. We employ a choice experiment focusing on landscape...

Development of renewable energy resources, such as wind farms and hydro-electric schemes, are being promoted as a new method of expanding and diversifying employment in rural areas. However, such energy projects are associated with a range of environmental impacts which might be detrimental to...

Benefit transfer is a cost-effective method for estimating the value of environmental goods that relies on information obtained in previous studies. The multiattribute approach of choice experiments should provide advantages in terms of benefit transfer, allowing differences in environmental...

This paper investigates the sensitivity of choice experiment values 3AL for ecosystem services to ‘attribute non-attendance’. We consider three cases of attendance, namely that people may always, sometimes, or never pay attention to a given attribute in making their choices. This allows a...

The agenda towards greenhouse gas mitigation within agriculture implies changes in farm management practices. Based on a survey of Scottish dairy farmers, this study investigates farmers' perceptions of how different GHG mitigation practices affect the economic and environmental performance of...

This paper uses the choice experiment method to analyse social preferences towards a set of agricultural policy instruments that are likely to play a key role in the post-2013 design of the EU Common Agricultural Policy. It contributes to the choice experiment literature by incorporating...

The Common Agricultural Policy (CAP) is one of the most important European policies. Since its inception, the CAP has been reformed in response to high budgetary costs, international trade pressures and socio-economic changes. Despite the reforms, this policy did not always serve the best...