|
|
|
|
|
| Wang, Xuehong; Rolfe, John. |
| Many policy issues, as well as policy funding and management choices, have elements of risk and uncertainty. This means that choice experiments, such as those used in choice modelling (CM), may need to frame trade-offs so that risk and uncertainty are included. This research aims to explore some methodological approaches to identify and treat uncertainty in CM experiments. A review of theoretical models, as well as a case study application in the CM technique reported by Roberts et al. (2008), suggests that including uncertainty information in the choice sets should influence responses significantly. However, key challenges remain to define and describe the elements of risk and uncertainty that are to be included in a choice experiment, to communicate the... |
| Tipo: Report |
Palavras-chave: Choice experiments; Risk; Uncertainty; Information; Framing.; Environmental Economics and Policy; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/94812 |
| |
|
| |
|
|
| Xu, Jintao; Zhang, Haipeng; Bennett, Jeffrey W.; Wang, Xuehong; Eigenraam, Mark. |
| This article focuses on the program of Ecological Afforestation on barren lands, degraded arable lands, harvested sites and sloped farmland in Sichuan, China. Farmers were given the opportunity to propose afforestation activities for which they would be paid an specified amount. These bids and predictions of the expected environmental benefits to be generated were used to assess the net benefit of each proposal. Most features of the bidding scheme were successfully implemented and improvements in the economic efficiency of the afforestation scheme were observed. The market-based approach is demonstrated to be a practical way forward for Ecological Afforestation in China. The bidding scheme showed savings of approximately 110,000 Yuan when compared to past... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Environmental Economics and Policy. |
| Ano: 2011 |
URL: http://purl.umn.edu/100735 |
| |
|
|
|
