title: Exploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commons

authors: Scarpa, Riccardo

subjects: best-worst alternative selection

abstract: In many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in-depth surveys administered to fewer respondents. We report on a study using high quality rank-ordered data elicited with the best-worst approach. The resulting “exploded logit” choice model, estimated on 64 responses per person, was used to study the willingness to pay for external benefits by visitors for policies which maintain the cultural heritage of alpine grazing commons. We find evidence supporting this approach and reasonable estimates of mean WTP, which appear theoretically valid and policy informative.

text: Exploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commons In many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in-depth surveys administered to fewer respondents. We report on a study using high quality rank-ordered data elicited with the best-worst approach. The resulting “exploded logit” choice model, estimated on 64 responses per person, was used to study the willingness to pay for external benefits by visitors for policies which maintain the cultural heritage of alpine grazing commons. We find evidence supporting this approach and reasonable estimates of mean WTP, which appear theoretically valid and policy informative.

year: 2011

title: COVID and streamlining Resource Management

authors: Daya-Winterbottom, Trevor

abstract: Simplifying and streamlining environmental and resource management law have been the buzz words of the past decade. My presentation focuses on the trajectory of these legislative developments in the context of New Zealand and the procedural impact of the COVID-19 pandemic.

text: COVID and streamlining Resource Management Simplifying and streamlining environmental and resource management law have been the buzz words of the past decade. My presentation focuses on the trajectory of these legislative developments in the context of New Zealand and the procedural impact of the COVID-19 pandemic.

year: 2020

title: Sharing, listening, learning and developing understandings of Kaupapa Māori research by engaging with two Māori communities involved in education.

authors: Kana, Fred

subjects: Kaupapa Maori research methodology

abstract: This paper is a culmination of common understandings that were elicited from two pieces of research: ‘The Impact of the BHP New Zealand Steel Mining on the Tangata Whenua and the Environment’ and ‘The Impact of Maori Medium Education within a Mainstream Secondary School on the Lives of its Participants, in particular the Teachers, Caregivers and Students’. It was at the conclusion of each research project and as a consequence of informal conversations and discussions that this paper evolved. The paper discusses shared understandings in the context of Kaupapa Māori research methodology and key findings from the two research projects.

text: Sharing, listening, learning and developing understandings of Kaupapa Māori research by engaging with two Māori communities involved in education. This paper is a culmination of common understandings that were elicited from two pieces of research: ‘The Impact of the BHP New Zealand Steel Mining on the Tangata Whenua and the Environment’ and ‘The Impact of Maori Medium Education within a Mainstream Secondary School on the Lives of its Participants, in particular the Teachers, Caregivers and Students’. It was at the conclusion of each research project and as a consequence of informal conversations and discussions that this paper evolved. The paper discusses shared understandings in the context of Kaupapa Māori research methodology and key findings from the two research projects.

year: 2006