Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay

By Richard T. Yao, Riccardo Scarpa, J. Turner, Tim Barnard, John M. Rose, João Palma, D. Harrison. 2014

137 citations recorded by the source corpus.

Planted forests are increasingly recognised for the provision of habitats for species threatened with extinction. Despite this development, a limited number of empirical studies have been undertaken to estimate the economic value of this ecosystem service. New Zealand's planted forests provide habitat to at least 118 threatened species. These forests can be managed to increase the abundance of many of these species. We present findings from survey data obtained in a discrete choice experiment designed to estimate the non-market values for a proposed biodiversity enhancement programme in New Zealand's planted forests. We used a two-stage modelling process. First we estimated the individual specific willingness to pay values and then we explored their socio-economic and spatial determinants. The first stage modelling process, which used a random parameters logit model with error components, suggested that willingness to pay was higher for increasing the abundance of native bird than for non-bird species. The second stage model used a least squares panel random-effects regression. Results from this method suggested that socioeconomic characteristics, such as attitudes toward the programme and distance from large planted forests, influenced willingness to pay for biodiversity enhancement.

Subfields: Economics and Econometrics, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/aebc29d7d82a68098d8283f348f1beb5229a37b8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. N. Hanley
2. Mikoaj Czajkowski
3. D. Campbell
4. Wiktor Budziński
5. P. Stanley
6. Marcus P. Enoch
7. Marek Giergiczny
8. Mohammed A. Quddus

In Global and Planetary Change

1. D. Campbell
2. N. Hanley
3. Riccardo Scarpa
4. W. Hutchinson

In Management, Monitoring, Policy and Law

1. Mikoaj Czajkowski
2. N. Hanley
3. D. Campbell
4. Wiktor Budziński
5. Marek Giergiczny
6. C. Spash
7. R. Turner

Citations in the corpus

• Spatial Heterogeneity of Willingness to Pay for Forest Management (2017, methodology): “Distributional assumptions of the MXL model (cost*scale parameter log-normally distributed, marginal WTP distributions all normally distributed; the GWMNL model is a non-parametric approach and thus makes no such assumptions – superior) Correlation between the WTP estimates the GWMNL model vs. the p”
• Investigating the contribution of Demand Responsive Transport to a sustainable local public transport system (2014, background): “…that allows for the detection of unobserved heterogeneity at the alternative speci fi c level, in addition to random parameters (for a more detailed description of this extension to the RPL model and otherexamples of its application readers are referred to Beville & Kerr, 2009; Yao et al., 2014).”