Fiona L. Gibson
University of Western Australia
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Publication
Featured researches published by Fiona L. Gibson.
Conservation Biology | 2017
Sayed Iftekhar; Maksym Polyakov; Dean Ansell; Fiona L. Gibson; Geoffrey M. Kay
Restoration scientists and practitioners have recently begun to include economic and social aspects in the design and investment decisions for restoration projects. With few exceptions, ecological restoration studies that include economics focus solely on evaluating costs of restoration projects. However, economic principles, tools, and instruments can be applied to a range of other factors that affect project success. We considered the relevance of applying economics to address 4 key challenges of ecological restoration: assessing social and economic benefits, estimating overall costs, project prioritization and selection, and long-term financing of restoration programs. We found it is uncommon to consider all types of benefits (such as nonmarket values) and costs (such as transaction costs) in restoration programs. Total benefit of a restoration project can be estimated using market prices and various nonmarket valuation techniques. Total cost of a project can be estimated using methods based on property or land-sale prices, such as hedonic pricing method and organizational surveys. Securing continuous (or long-term) funding is also vital to accomplishing restoration goals and can be achieved by establishing synergy with existing programs, public-private partnerships, and financing through taxation.
Journal of Agricultural Economics | 2016
Rebecca Owusu Coffie; Michael Burton; Fiona L. Gibson; Atakelty Hailu
Rice has been identified as an important food security crop in Ghana. However, there is a production deficit and new technologies to reduce the deficit are not widely adopted. Although poor adoption by farmers’ is often linked to constraints such as access to information, farmers’ perceptions of the technologies are also important. We apply an advanced discrete choice experiment to evaluate farmers’ preferences for rice production practices. Specifically, we generate willingness to pay (WTP) estimates using willingness to pay space (WS) and compare these with values from the indirect or preference space (PS) method. Our modelling also accounts for the effects on WTP estimates of farmers’ stated attribute importance (SAI) information. Empirical results from WS and PS models reveal that on average, farmers value higher yields and are negatively affected by higher risk of crop failure and labour requirements. Comparing the performance of the two models, we find the WS model provides a superior fit to our data and reduces the likelihood of producing implausible WTP estimates. Further, SAI inclusion did not produce much variation in our WTP estimates.
Conservation Biology | 2016
David J. Pannell; Fiona L. Gibson
Conservation decision makers commonly use project-scoring metrics that are inconsistent with theory on optimal ranking of projects. As a result, there may often be a loss of environmental benefits. We estimated the magnitudes of these losses for various metrics that deviate from theory in ways that are common in practice. These metrics included cases where relevant variables were omitted from the benefits metric, project costs were omitted, and benefits were calculated using a faulty functional form. We estimated distributions of parameters from 129 environmental projects from Australia, New Zealand, and Italy for which detailed analyses had been completed previously. The cost of using poor prioritization metrics (in terms of lost environmental values) was often high--up to 80% in the scenarios we examined. The cost in percentage terms was greater when the budget was smaller. The most costly errors were omitting information about environmental values (up to 31% loss of environmental values), omitting project costs (up to 35% loss), omitting the effectiveness of management actions (up to 9% loss), and using a weighted-additive decision metric for variables that should be multiplied (up to 23% loss). The latter 3 are errors that occur commonly in real-world decision metrics, in combination often reducing potential benefits from conservation investments by 30-50%. Uncertainty about parameter values also reduced the benefits from investments in conservation projects but often not by as much as faulty prioritization metrics.
Australian Journal of Agricultural and Resource Economics | 2016
Maksym Polyakov; Fiona L. Gibson; David J. Pannell
This study presents results of an analysis of 1060 academic articles published in the Australian Journal of Agricultural Economics and the Australian Journal of Agricultural and Resource Economics from 1957 to 2015. Trends in research topics over time identified by the study include a decline in research on agricultural topics offset by growth in publications related to natural resources, the environment, trade, food and international development. Other trends include an increase in the average number of co-authors on each paper, a gradual increase in authorship by females, changes in the shares of top contributing institutions, increases in collaboration between institutions and a steady increase in the number of authors from outside Australia or New Zealand.
Australian Journal of Agricultural and Resource Economics | 2015
Abbie A. Rogers; Marit E. Kragt; Fiona L. Gibson; Michael Burton; Elizabeth H. Petersen; David J. Pannell
Resource and Energy Economics | 2015
Chunbo Ma; Abbie A. Rogers; Marit E. Kragt; Fan Zhang; Maksym Polyakov; Fiona L. Gibson; Morteza Chalak; Ram Pandit; Sorada Tapsuwan
Land Use Policy | 2016
Nikki P. Dumbrell; Marit E. Kragt; Fiona L. Gibson
Environmental and Resource Economics | 2014
Fiona L. Gibson; Michael Burton
Journal of Hydrology | 2015
Fiona L. Gibson; Sorada Tapsuwan; Iain Walker; Elodie Randrema
Ecological Economics | 2016
Marit E. Kragt; Fiona L. Gibson; Fleur J. F. Maseyk; Kerrie A. Wilson