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Two choice modelling studies in Australia were designed to test for the effects of variations in geographic scale and scope on WTP values. One case study assessed values for improved natural resource management in a river catchment, and the other assessed values for improved protection of the Great Barrier Reef. The results show that increases in the amount of an amenity offered are valued positively and display diminishing marginal utility. Unit value estimates vary inversely with increases in the geographic scope over which an amenity improvement was offered. In the case studies, marginal values for the same unit of environmental improvement could be several thousand times higher when only very small areas were considered compared to when the whole amenity was framed. These results confirm that calibration factors are needed in benefit transfer applications between different geographic scopes. A close inverse relationship was identified between the ratio of quantities involved and the ratio of the WTP amounts. A log-log form of this relationship is recommended as a simple and efficient way of performing this calibration.

The concept of ecosystem resilience is being increasingly discussed as a driver of biodiversity values. It implies that marginal deteriorations in ecosystem conditions can abruptly result in non-marginal and irreversible changes in ecosystem functioning and the economic values that the ecosystem generates. This challenges the traditional approach to the valuation of biodiversity, which has focused on quantifying values attached to individual species or other elements of ecosystems. As yet, little is known about the value society attaches to changes in ecosystem resilience. This paper investigates this value. A discrete choice experiment is used to estimate implicit prices for attributes used to describe ecosystem resilience using the Border Ranges rainforests in Australia as an example. We find evidence that implicit prices for the attributes describing ecosystem resilience are positive and statistically significantly different from zero.

Kerbside recycling in Australia has focused on paper, cardboard, plastics and bottles and in some areas green waste. Another area for potential kerbside recycling is organic waste. This study uses a dichotomous choice contingent valuation format with follow-up open-ended willingness to pay question to estimate the household willingness to pay for the introduction of a kerbside recycling scheme for kitchen waste. Two provision rules were used. The first sample split contained a majority decision rule while the second sample split contained a provision rule where participation is voluntary. Households across the Brisbane statistical sub-division currently pay in the order of $250 per annum for their kerbside waste collection scheme. This study indicates that on average Brisbane households would be WTP an additional $32 to $35 per year for a general waste bin where food waste is split from general waste. There was no significant difference in results between sample splits with majority or voluntary provision rules. Whether the provision of a food waste recycling scheme is economically efficient requires a consideration of all the potential costs and benefits. Other relevant costs and benefits for inclusion in a benefit cost analysis would include those associated with bin replacement, any additional collection and transport costs, composting costs, revenues from compost sales and avoided landfill costs. If a compulsory food waste recycling scheme could be provided to all households for less than $32 to $35 per household per annum then the benefits of the scheme would exceed the costs and would be considered to be economically efficient and desirable from a community welfare perspective. Given the difficulties of estimating precise WTP values from dichotomous choice data, any BCA of a compulsory scheme incorporating the results of this study should undertake sensitivity testing that includes the range of values reported including dichotomous choice and open-ended means to determine the robustness of BCA results to variations in the welfare estimate. Notwithstanding, the results of any BCA, decision-makers also need to be cognisant of the high proportion of respondents who did not support a kerbside food waste recycling scheme. The data from the study could also be used to undertake a BCA of a voluntary scheme.

The Booroolong frog project in the Namoi Catchment represents an environmental investment to protect the species and around 10.7 kilometres of its habitat in the catchment. The project’s benefit-cost ratio (BCR) of 8.6 indicates that the benefits outweigh the costs by a significant margin. The measures introduced by landholders, at relatively low cost, should therefore result in a significant return on investment upon project completion in 10 years time. The benefits are estimated using a choice modelling study which was recently developed for the valuation of investment in natural resource management in the Namoi Catchment. As this is a largely ex ante cost-benefit analysis, the BCR is subject to uncertainty associated with assumptions which had to be made for some variables. However, sensitivity analysis indicates that the project benefits outweigh the costs by a significant margin even under conservative conditions.

Waste policy in Australia has a strong focus on kerbside recycling. This has a range of costs and benefits to the community, including non-market benefits. However, in Australia, there has been little investigation of household willingness to pay for kerbside recycling. This paper used mixed logit choice modelling to estimate the willingness to pay of households in Brisbane, Australia for kerbside waste collection services including kerbside recycling. It was found that households in Brisbane have a positive and significant willingness to pay of $131.49 per annum for fortnightly kerbside recycling and would be willing to pay an additional $18.30 to increase the frequency of this service to weekly. The utility of respondents was, however, found to decline by $34.18 per year if general waste collection increased from weekly to twice a week. Based on the assumptions used in this study it would appear that the willingness to pay for kerbside recycling exceeds the net financial costs of this service, suggesting that the scheme is economically efficient. However, the reported economic values for recycling may overstate the community’s true willingness to pay if household responses to the choice questions were confounded by their underlying perceptions about the environmental and resource sustainability benefits of recycling.

A cost-benefit analysis (CBA) of an investment in the protection of malleefowl and associated native vegetation in the Lachlan Catchment’s central-west yielded a benefit-cost ratio of 1.4. The CBA is based on project expenditures over the past four years coupled with benefit estimates from a recent Choice Modelling study in the Lachlan Catchment. The project targets the protection of malleefowl on private land which has not yet been surveyed but where the species is known to be present. The CBA is subject to significant uncertainty due to a lack of available data. Nonetheless, sensitivity analysis indicates that the BCR is consistently larger than unity, if marginal in some cases. This suggests that the project is a worthwhile investment at this early stage. Furthermore, greater gains may be achieved by addressing the numerous threats facing the species and its habitat. The increased cost of such an investment may be more than offset by the gains in benefits due to relatively conservative assumptions associated with the benefit calculations in the BCA.

There is a growing body of evidence in the non-market valuation literature suggesting that responses to a sequence of discrete choice questions tend to violate the assumptions typically made by analysts regarding independence of responses and stability of preferences. Decision processes (or heuristics) such as value learning and strategic misrepresentation have been offered as explanations for these results. While a few studies have tested these heuristics as competing hypotheses, none has investigated the possibility that each explains the response behaviour of a subgroup of the population. In this paper, we make a contribution towards addressing this research gap by presenting a probabilistic decision process model designed to estimate the proportion of respondents employing defined heuristics. We demonstrate the model on binary and multinomial choice data sources and find three distinct types of response behaviour. The results suggest that accounting for heterogeneity in response behaviour may be a better way forward than attempting to identify a single heuristic to explain the behaviour of all respondents.

Choice experiments (CE) have become widespread as an approach to environmental valuation in both Australia and overseas. However, there are few valuation studies that have addressed natural resource management (NRM) changes in Tasmania. Furthermore, few studies have focussed on the estimation of estuary values. The CE study described in this paper aims to analyse community preferences for NRM options in the George catchment, Tasmania. Catchment health attributes were: the length of native riverside vegetation; the number of rare native animal and plant species in the George catchment; and area of healthy seagrass beds in the Georges Bay, which was used as a measure of estuary condition. Mixed logit models with interactions between socio-economic variables and the choice attributes were estimated to account for systematic and random taste heterogeneity across respondents. Results reveal considerable variation in preferences towards the attributes and show that value estimates are significantly impacted by the way in which we account for preference heterogeneity. Preference heterogeneity thus needs to be considered when estimating community willingness- to-pay for environmental changes. This study further shows little responsiveness to the presented changes in estuary seagrass area.

The economic value of biological collections in three major botanic gardens in Australia was estimated using the Travel-Cost (TC) and Contingent Valuation (CV) methods. The study used truncated count data models to control for the non-negative integer and truncation properties of the number of visits to botanic gardens in Canberra, Melbourne and Sydney. We estimate consumer surplus values of approximately $34 per trip to each botanic garden, resulting in the total social welfare estimate of approximately $96.9 million in 2010 Australian dollars. This result is relatively high compared to similar studies conducted in other countries. Willingness to pay (WTP) for entry fees and or higher parking charges for access to botanic gardens were also investigated. Results indicate a positive mean WTP of approximately $3-$4 per trip per person. These findings will be useful for resource management decisions in the botanic gardens and other biological collections in Australia.

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 grant based programs. However, the bidding scheme is shown to increase the transaction costs of achieving the policy goal, by about 30 per cent compared to the previous ‘command and control’ regime. When transaction costs are accounted for there are still cost savings when compared to the command and control approach. Finding effective methods to reduce transaction costs will be key to any future implementation of the Ecological Afforestation bidding scheme.

Australian governments are committed to the expansion of marine protected areas (MPAs) in Australian waters and have already established over 200 MPAs. However, this policy direction has a range of costs and benefits for the community which have largely remained unquantified. One of the main benefits of establishing MPAs are the non use values that the community for the protection of marine biodiversity. This study uses a dichotomous choice contingent valuation format with follow-up open-ended willingness to pay question to estimate these non use values for the establishment of MPAs in South-west Marine Region of Australia. It was found that on average Australian households would be WTP $104 for the establishment of MPAs that cover 10% of the South-west Marine Region. Aggregating this mean WTP estimate to 50% of the population of Australian households gives an aggregate WTP of $400M. However, whether the establishment of MPAs in the South-west Marine Region is economically efficient requires a consideration of all the potential costs and benefits. Other relevant costs and benefits for inclusion in a benefit cost analysis would include those associated with displacement of commercial and non-commercial uses, additional planning, compliance and monitoring costs as well as any predicted increases in commercial and non-commercial use values. If the net costs of establishing MPA over 10% of the South-west Marine Region are less than $400M,then the non-use benefits of establishing MPAs would exceed the other net costs and it would be considered to be economically efficient and desirable from a community welfare perspective. Given the difficulties of estimating precise WTP values from dichotomous choice data, any BCA of MPAs in the South-west Marine Region, incorporating the results of this study, should undertake sensitivity testing that includes the range of values reported including dichotomous choice and openended means to determine the robustness of BCA results to variations in the welfare estimate.

This study considers the costs and benefit of the Regent Honeyeater Project in the Capertee Valley over the past 10 years. The benefits are estimated using choice modelling and the costs are based on project expenditure and forgone agricultural production. A comparison of the benefits and costs yields a benefit-cost ratio (BCR) of 4.45, which implies that the benefits outweigh the costs. However, variation in the underlying assumptions reveal significant sensitivity to the uncertainty associated with the maturation of native tree plantings and the successful establishment of a significant population of birds within the native vegetation. The Cost Benefit Analysis (CBA) is dominated by the benefit derived from protection of the native species (i.e. the Regent Honeyeater) which in turn depends on these two uncertainties. By expanding the total area of land being revegetated and reducing the fragmentation amongst individual plantings these uncertainties can be reduced. This should deliver larger benefits and further improve the BCR.

Australian governments are committed to the expansion of marine protected areas (MPAs) in Australian waters and have already established over 200 MPAs. However, this policy direction has a range of costs and benefits for the community which have largely remained unquantified. One of the main benefits of establishing MPAs are the non use values that the community for the protection of marine biodiversity. This study uses a dichotomous choice contingent valuation format with follow-up open-ended willingness to pay question to estimate these non use values for the establishment of MPAs in South-west Marine Region of Australia. It was found that on average Australian households would be WTP $104 for the establishment of MPAs that cover 10% of the South-west Marine Region. Aggregating this mean WTP estimate to 50% of the population of Australian households gives an aggregate WTP of $400M. However, whether the establishment of MPAs in the South-west Marine Region is economically efficient requires a consideration of all the potential costs and benefits. Other relevant costs and benefits for inclusion in a benefit cost analysis would include those associated with displacement of commercial and non-commercial uses, additional planning, compliance and monitoring costs as well as any predicted increases in commercial and non-commercial use values. If the net costs of establishing MPA over 10% of the South-west Marine Region are less than $400M, then the non-use benefits of establishing MPAs would exceed the other net costs and it would be considered to be economically efficient and desirable from a community welfare perspective. Given the difficulties of estimating precise WTP values from dichotomous choice data, any BCA of MPAs in the South-west Marine Region, incorporating the results of this study, should undertake sensitivity testing that includes the range of values reported including dichotomous choice and open-ended means to determine the robustness of BCA results to variations in the welfare estimate

This study explores ordering effects and response strategies in repeated binary discrete choice experiments (DCE). Mechanism design theory and empirical evidence suggest that repeated choice tasks per respondent introduce strategic behavior. We find evidence that the order in which choice sets are presented to respondents may provide strategic opportunities that affect choice decisions (‘strategic response’). The findings propose that the ‘strategic response’ does not follow strong cost-minimization but other strategies such as weak cost-minimization or good deal/ bad deal heuristics. Evidence further suggests that participants, as they answer more choice questions, not only make more accurate choices (‘institutional learning’) but may also become increasingly aware of and learn to take advantage of the order in which choice sets are presented to them (‘strategic learning’).

Natural resource management (NRM) typically involves complex decisions that affect a variety of stakeholder values. Efficient NRM, which achieves the greatest net environmental, social and financial benefits, needs to integrate the assessment of environmental impacts with the costs and benefits of investment. Integrated assessment (IA) is one approach that incorporates the several dimensions of catchment NRM, by considering multiple issues and knowledge from various disciplines and stakeholders. Despite the need for IA, there are few studies that integrate biophysical modelling tools with economic valuation. In this paper, we demonstrate how economic non-market valuation tools can be used to support an IA of catchment NRM changes. We develop a Bayesian Network model that integrates: a process-based water quality model; ecological assessments of native riparian vegetation; estimates of management costs; and non-market (intangible) values of changes in riparian vegetation. This modelling approach illustrates how information from different sources can be integrated in one framework to evaluate the environmental and economic impacts of NRM actions. It also shows the uncertainties associated with the estimated welfare effects. By estimating the marginal social costs and benefits, a cost-benefit analysis of alternative management intervention can be gained and provides more economic rationality to NRM decisions.

An elicitation format prevalently applied in discrete choice experiments (DCEs) offers each respondent a sequence of choice tasks. Each choice task contains more than two choice options. Empirical evidence shows, however, that repeated choice tasks influence choice behaviour through institutional learning, fatigue, value learning and strategic response. The study reported in this paper uses a split sample approach. This approach was based on field surveys using a single binary elicitation format. To expand the research on effects of sequential binary DCE formats, a majority vote baseline was used. We present evidence for effects caused by institutional learning, and by either strategic behaviour or value learning, after respondents answered repeated choice questions. However, we did not find any indications for strategic behaviour in respondents caused by their awareness of having multiple choices. The decision to use a sequential or a single elicitation format may therefore imply a trade-off between decreased choice accuracy and potentially increased strategic behaviour in respondents. This trade-off is due to an incentive incompatible mechanism. Further research is needed to explore strategic behaviour induced by incentive incompatible elicitation formats, using alternative approaches that are not compromised by a confounded baseline, that facilitate the differentiation between value learning and strategic behaviour, and that allow the use of less restrictive model specifications. Such research should also investigate the effects of varying incentives induced by the order in which choice questions are presented to respondents.

This research report investigates the effects of including a provision rule in choice modelling non-market valuation studies. Split samples with and without a provision rule were used to test for differences in household willingness-to-pay for improvements in environmental quality in the Hawkesbury-Nepean catchment. Local/rural and distant/urban sub-samples of residents were selected. The results of the study show that the inclusion of a provision rule had an effect on preferences in the distant/urban communities; however, the impact of a provision rule in the local/rural community sub-samples was negligible.

Choice Experiments (CE) are increasingly used to estimate the values of environmental goods and services. CE questionnaires represent the environmental good under valuation by varying levels of non-market attributes. Inclusion of a cost attribute enables the estimation of monetary values for changes in the non-market attributes presented. The ways in which the levels of the attributes are described in the survey - the ‘attribute frame’ - may affect respondents’ choices. Furthermore, varying levels of the cost attribute may impact CE value estimates. The challenge for CE practitioners is to identify the ‘appropriate’ attribute frames and cost levels. In this paper, the impacts of changing cost levels and the impacts of describing non-market attributes as absolute levels or in relative terms are assessed. These tests were performed using data from a CE on catchment management in Tasmania, Australia. Contrary to a priori expectations, including explicit information cues about relative attribute levels in the choice sets is found not to affect stated preferences. However, comparisons between different split samples provide evidence that respondents’ preferences are impacted by changing the range in cost attribute levels, with higher levels leading to significantly higher estimates of WTP for one of the three environmental attributes.

The numerical certainty scale (NCS) and polychotomous choice (PC) methods are two widely used techniques for measuring preference uncertainty in contingent valuation (CV) studies. The NCS follows a numerical scale and the PC is based on a verbal scale. This report presents results of two experiments that use these preference uncertainty measurement techniques. The first experiment was designed to compare and contrast the uncertainty scores obtained from the NCS and the PC method. The second experiment was conducted to test a preference uncertainty measurement scale that combines verbal expressions with numerical and graphical interpretations: a composite certainty scale (CCS). The construct validity of the certainty scores obtained from these three techniques was tested by estimating three separate ordered probit regression models. The results of the study can be summarised in three key findings. First, the PC method generates a higher proportion of ‘yes’ responses than the conventional dichotomous choice elicitation format. Second, the CCS method generates a significantly higher proportion of certain responses than the NCS and the PC methods. Finally, the NCS method performs poorly in terms of construct validity. Overall, the verbal measures perform better than the numerical measure. The CCS is a promising method to measure preference uncertainty in CV studies. To better understand its strengths and weaknesses however, further empirical applications are needed.

The incentives that motivate respondents to reveal their preferences truthfully have been a long-standing area of research in the non-market valuation literature. A number of studies have been undertaken to investigate incentive compatibility in nonmarket valuation. Most of these used laboratory environments rather than field surveys (e.g. Carson and Burton, 2008, Harrison, 2007, Lusk and Schroeder, 2004, Racevskis and Lupi, 2008). Only a few studies investigating incentive compatibility have considered multi-attribute public goods with an explicit provision rule in a choice experiment (Carson and Groves, 2007, Collins and Vossler, 2009, Carson and Burton, 2008). The design of a choice modelling study that avoids strategic behaviour has proven particularly difficult because of multiple choices and difficulties in developing a majority voting provision rule. This study investigates the impact of the inclusion of a framing statement for incentive compatibility in a field survey choice modelling study. An incentive compatible statement (provision rule) that sets out to respondents the rule relating to when the good under consideration will be provided was employed. The impact of a provision rule across three alternative choice modelling multiple choice questionnaires was tested by comparing results between split samples with and without a provision rule. Four split samples were used to test the impact of a provision rule on preferences across different communities including local/rural residents and distant/urban residents. A choice modelling analysis that involved a conditional logit model and a random parameter model was used to elicit household willingness to pay for improvements in environmental quality in the Hawkesbury-Nepean catchment. The results of the study show that the inclusion of a provision rule had an effect on preferences in the distant/urban communities. However, the impact of a provision rule in the local/rural community sub-samples was negligible. This study suggests that the impact of a provision rule should be analysed in the context of different community characteristics.

According to neoclassical economic theory, the only stated preference elicitation format that can feasibly be employed in field studies to which truthful response can be the dominant strategy for all respondents is a single binary choice between the status quo and one alternative. In studies where the objective is estimation of preferences for multiple attributes of a good, it is preferred (and, in some cases, necessary) based on econometric considerations, to present respondents with a sequence of choice tasks. Economic theory predicts that utility-maximising respondents may find it optimal to misrepresent their preferences in this elicitation format. In this paper, the effect on stated preferences of expanding the number of choice tasks per respondent from one to four is tested using a split sample treatment in an attribute-based survey relating to the undergrounding of overhead electricity and telecommunications wires in the Australian Capital Territory. We find evidence to suggest that presenting multiple choice tasks per respondent decreases estimates of total willingness to pay and that this effect is related to the ordering of cost levels presented over the sequence of choice tasks. Two behavioural explanations can be advanced - a weak cost minimisation strategy, which implies divergence between stated and true preferences, and a ‘good deal / bad deal’ heuristic, in which stated preferences reflect true preferences that change over the course of the sequence of choice tasks. Preferences stated in the first of a sequence of choice tasks are not significantly different from those stated in the incentive compatible single binary choice task. A key objective of future research will be to establish whether this effect becomes less prevalent as the number of attributes and alternatives per choice task are increased.

This report presents results of research designed to investigate variations in willingness to pay (WTP) estimates across different scales and scopes of environmental investments. The goal is to help catchment management authorities better prioritise their natural resource management actions at both catchment and farm levels. Five split samples were used to test for scale and scope effects. A choice-modelling (CM) analysis was used to elicit household WTP for improvements in environmental quality attributes in the Namoi catchment. The approach was developed so that value estimates could be more accurately transferred between different action scopes.

Choice experiments (CE) are increasingly used to estimate the values of non-market goods and services. A cost attribute is typically included in a CE questionnaire to estimate monetary values for changes in the non-market attributes presented. Although the cost attribute is centrally important, there has been limited research into the impacts of varying cost attribute levels on respondents’ choices in CE surveys. The context in which non-market attributes are presented to respondents (the ‘attribute frame’) may also affect value estimates. The challenge for CE practitioners is to identify the ‘appropriate’ attribute frames and cost level range. Results from a CE study in Tasmania show that respondents’ preferences are not impacted by describing an attribute in ‘presence’ versus ‘loss’. The absolute attribute levels, therefore, were most important in this study. Comparisons between different split samples are evidence that changing the cost attribute level does affect respondents’ preferences – higher levels lead to significantly higher estimates of willingness to pay for one of the three environmental attributes.

This report proposes an extension to existing models of non-expected utility (NEU) in the stated preference (SP) literature. The extension incorporates the impact of multiple sources of ambiguity in individual decision making behaviour. Empirical testing of the proposed decision model was carried out in Australia using a dichotomous choice contingent valuation study of a national carbon pollution reduction scheme (CPRS). The results of the study demonstrate that subjective expectations of the context scenario and subjective policy expectations are important determinants of individual decision making in a stated preference framework. The results of the study also demonstrate that decision weight functions are non-linear (quadratic) in subjective scenario expectations and subjective policy expectation. Although evidence was found to link willingness to pay to scenario ambiguity, policy ambiguity was found to have no statistically significant influence on individual decision making.

To elicit household willingness to pay (WTP) for improvements in environmental quality in three NSW catchments (Lachlan, Namoi and Hawkesbury-Nepean), a choice modelling (CM) study was conducted. This report presents results of research designed to investigate variations in WTP across different communities. The communities included local residents, distant/urban and distant/rural residents. Nine split samples were established to test for ‘location effects’. The analysis involved both conditional logit and random-parameters logit models. Natural resource management (NRM), including Catchment Management Authorities (CMAs), can use the non-market values obtained from this study to guide their investment decisions.

Choice experiments (CE – otherwise known as Choice Modelling) have become a widespread approach to environmental valuation in Australia, with many examples assessing the tradeoffs between river catchment management and socio-economic impacts. There is, however, limited information on the values of Australian estuaries. Furthermore, none of the existing valuation studies address catchment management changes in Tasmania. The CE study reported in this paper aims to elicit community preferences for the protection of the rivers and estuary of the George catchment in north-eastern Tasmania. Results from conditional and mixed logit models show that respondents are, on average, willing to pay between $2.47 and $4.46 for a km increase in native riverside vegetation and between $9.35 and $10.97 per species for the protection of rare native plants and animals, ceteris paribus. The results are ambiguous about respondents’ preferences for estuary seagrass area. This study further shows significant differences between logit models when accounting for individual heterogeneity and repeated choices made by individual respondents.

This paper presents analysis of the decision-making strategies adopted by respondents when confronted with potential policy options that include changes in both aggregate levels of welfare and equity in distribution. The analysis is based on the results of a choice experiment designed to estimate intergenerational distributional preferences. Non-linear welfare functions are employed within a conventional conditional logit framework. The heuristics employed by respondents in the stated preference context provide valuable insights into the application of welfare principles by respondents in determining trade-offs between the potential changes in the well-being of different generations.

The study aims to reveal Australian households’ perceptions of climate change and their preferences for climate change mitigation actions. A web-based survey was conducted in November 2008 in which about 600 New South Wales households were asked for their willingness to bear extra household expenditure to support the ‘Carbon Pollution Reduction Scheme (CPRS)’ as proposed by the Australian government. The Contingent Valuation Method (CVM), a widely used non-market valuation technique, was applied using the single bounded dichotomous choice elicitation format. Results of the study demonstrate that, currently, there is a positive demand for climate change mitigation action in Australia. The main motivation for this positive demand stems from a desire to avoid climate change. However, society’s willingness to pay (WTP) for climate change mitigation is shown to be significantly curbed by uncertainties regarding the extent of climate change and the effectiveness of climate change policy. Global cooperation (major greenhouse gas emitting countries implementing similar scheme) plays an important role in determining Australian households’ support for the CPRS. Only when cooperation is assumed, do the benefits of the CPRS, as estimated by respondents’ WTP, exceed its costs.

Integrated catchment policies are widely used to manage natural resources in Australian catchments. Decision support tools available to aid integrated catchment management are often limited in their integration of environmental processes with socio-economic systems. Fully integrated models are required to support assessments of the environmental and economic trade-offs of catchment management changes. A Bayesian Network (BN) model is demonstrated to provide a suitable approach to integrate environmental modelling with economic valuation. The model incorporates hydrological, ecological and economic models for the George catchment in Tasmania. Information about the non-market costs and benefits of environmental changes is elicited using Choice Experiments, allowing an assessment of the efficiency of alternative management scenarios.

Farm and catchment managers in Australia face decisions about controlling invasive native species (or scrub) which may infest agricultural land. The treatment of this land to remove the infestation and re-establish native pastures is likely to be expensive for landholders. Yet there are potential social benefits from such remediation and so a policy question arises of what to do to about facilitating such change. New South Wales state government legislation addresses this issue through regulations, and the Catchment Management Authorities are responsible for administering public funds to achieve associated natural resource improvements. However, the extent of the private costs and social benefits associated with such changes are not known, which precludes benefit-cost analyses using the traditional welfare economics framework. This paper reports results of a social and private economic analysis of the impacts of a typical infestation remediation decision. We show that for the landholder the private costs exceed the benefits achieved from increased livestock productivity. However, there are social benefits expressed by the willingness to pay by members of the local catchment community for improvements in native vegetation and biodiversity. When these social benefits are included, the economic analysis shows a positive social net benefit. This raises questions of how to reconcile the public and private accounting, and whether any changes to policies, regulations or procedures for natural resource management in New South Wales are warranted.

The sources of preference uncertainty in contingent valuation (CV) studies have rarely been investigated from a theoretical standpoint. This paper proposes a holistic theoretical framework of preference uncertainty that combines microeconomic theory with the theories of cognitive psychology. Empirical testing of the proposed theoretical model was carried out in Australia in the context of a national ‘Carbon Pollution Reduction Scheme (CPRS)’ to be introduced in 2010. Two separate ordered probit models for a certainty score associated with CV ‘Yes’ and ‘No’ responses were estimated. The results of the estimated regression models provide evidence supporting the hypotheses drawn from the theoretical model.

Integrated catchment policies are widely used to manage natural resources in Australian catchments. Integration of environmental processes with socio-economic systems is often difficult due to the limitations of decision support tools. To support assessments of the environmental and economic trade-offs of changes in catchment management, fully integrated models are needed. This research demonstrates a Bayesian Network (BN) approach to integrating environmental modelling with economic valuation. The model incorporates hydrological, ecological and economic models for the George catchment in Tasmania. Choice experiments were used to elicit information about the non-market costs and benefits of environmental changes. This allows the efficiency of alternative management scenarios to be assessed.

The survey was designed to estimate environmental values suitable for integration into MOSAIC, a bio-economic model for catchment and farm level planning. Local residents, as well as distant rural and distant urban communities, were surveyed in three NSW catchments (Lachlan, Namoi and Hawkesbury-Nepean) using choice modelling (CM). The survey aimed to find out respondents’ attitudes about, and preferences for, potential natural resource management (NRM) improvements. In total, 3,997 responses were collected from seven different locations in NSW. Fourteen split samples were established to allow for testing of incentive compatibility in CM, the impact of respondent location on values held, and scale effects. This research report describes the development of the CM questionnaires, the survey design and the data collection process.

Choice experiments (CE) are increasingly used as a stated preference technique to value changes in non-market goods. Respondents to a CE survey are asked to make repeated choices between alternatives. Each alternative is described by a number of attributes – the attributes levels vary across alternatives and choice sets. A monetary attribute is typically included so that marginal values for changes in the non-market attributes presented can be estimated. The monetary attribute has central importance. However, there has been limited research on the impacts on respondents’ choices of changing the (range in) levels of the monetary attribute presented in CE surveys. This is known as the ‘anchoring’ effect. The ‘framing’ of non-market attributes may also affect value estimates. Attribute framing refers to the context in which the attributes are presented to respondents in a CE survey. The challenge for CE practitioners is to identify how particular attribute frames may influence respondents’ choices. This research report provides a review of anchoring and framing effects in CEs. A CE questionnaire is described to incorporate tests for anchoring and framing effects. Ten hypotheses are developed about the impacts of various attribute ‘anchors’ and ‘frames’ on respondents’ choices and subsequent values estimated.

review, expert interviews, biophysical modelling and focus group discussions were used to design a Choice Modelling (CM) questionnaire. This questionnaire was used to value changes in natural resource management in the George catchment, Tasmania. This report describes the questionnaire development, the selection of George catchment attributes and the assessment of attribute levels. The (experimental) design and delivery of the questionnaire are also presented.

Time and value are related concepts that influence human behaviour. Although classical topics in human thinking throughout the ages, few environmental economic non-market valuation studies have attempted to link the two concepts. Economists have estimated non-market environmental values in monetary terms for over 30 years. This history of valuation provides an opportunity to compare value estimates and how valuation techniques have changed over time. This research aims to compare value estimates of benefits of a protected natural area. In 1978, Nadgee Nature Reserve on the far south coast of New South Wales was the focus of the first application of the contingent valuation method in Australia. This research aims to replicate that study using both the original 1978 contingent valuation method questionnaire and sampling technique, as well as state of the art non-market valuation tools. This replication will provide insights into the extent and direction of changes in environmental values over time. It will also highlight the impact on value estimates of methodological evolution. These insights will help make allocating resources more efficient.

In this study, focus group discussions were used to design a choice modelling (CM) questionnaire to estimate community wide values for the environmental and social benefits provided by natural resource management changes in the Namoi, Lachlan and Hawkesbury-Nepean catchments. This report describes the logistics of the focus groups and outlines the main conclusions drawn from the discussions. The research team conducted eight focus groups in the main urban areas of the regions where the CM survey will be conducted (Tamworth, Cowra, Goulburn and Sydney). How the CM questionnaire was developed with focus group participant input is also discussed in the report. The focus group meetings resulted in a draft questionnaire to be refined in consultation with scientists, managers and policy makers.

Protecting environmental services generates social benefits. At the same time, private landholders supplying these benefits may face some costs. To provide these services efficiently, policy makers need information about community values for the environment as well as landholders’ costs. This study explores how choice modelling (a non-market valuation technique) is used to estimate comment values. These include use and non-use values for increasing environmental quality in NSW catchments. Non-market valuation techniques for estimating environmental values are reviewed. This is followed by a discussion of methodological aspects of the choice modelling technique and its potential as a regional planning tool for Catchment Management Authorities (CMA’s)

The Victorian Environmental Assessment Council is conducting an investigation into the management of the public land River Red Gum Forests of the Murray River Valley in Victoria. In this paper the authors apply the results of an earlier Choice Modelling exercise commissioned by VEAC to estimate the non-use values of the forests. A Benefit Cost Analysis of VEAC's draft recommendations included assessment of the market and non market values associated with different River Red Gum forest management strategies. It is concluded that the use of water for environmental flows is competitive with its use for irrigation. Other economic values associated with timber harvesting, grazing and duck hunting are small in comparison with the water values.

The populist view of economic development and the environment is that advances in one will necessarily result in a decline in the other. Evidence in the Australian context is that the dual goals can be achieved simultaneously. As economic development progresses, the increasing levels of income stimulate greater demand for environmental improvements. The population engages in more environmentally focused consumption and calls for its governments to introduce more policies designed to rehabilitate and protect environmental assets. Concurrently, the increasing levels of wealth allow for increasing expenditure on research and development into production processes that generate greater productivity and less environmental damage. The Australian agricultural sector provides numerous examples of concurrent improvements in productivity and environmental condition. Zero tillage broad acre grain cultivation practices have led to lower rates of soil erosion and have enriched soil biota while delivering higher productivity. Similarly, the introduction of integrated pest management, including the planting of pest and herbicide tolerant species, has improved water quality in cotton growing areas. A key implication from this analysis is that policies to improve environmental conditions should not be focused on stifling economic growth. Rather, governments should strive for policies that will encourage economic growth--such as the installation of property rights that are both well defined and defended. Concurrently, policies specifically designed to deal with potential environmental problems should be enacted. For instance, the establishment of property rights to water and the setting aside of allocations for environmental flows will encourage both economic development and environmental protection.

Designing a choice modelling (CM) experiment to place a value on increasing protection of the Great Barrier Reef (GBR) raises complex issues. The size and diversity of the GBR, and the number of different pressures impacting on it, mean protection and improvement scenarios can be drafted in several different ways. This report discusses some of the considerations in selecting, describing and combining choice attributes. It also looks at how to incorporate tests for geographic scale (size) and scope (complexity) differences into the design of the CM survey instrument. The potential to include information about management options designed to achieve increased protection, and the associated risk and uncertainty, is also discussed.

A lack of information on economic values, especially non-market values, has contributed to wetland degradation in the Mekong River Delta. To fill this information gap, this study uses choice modelling to estimate biodiversity values of Tram Chim National Park in Vietnam. It is found that Vietnamese respondents are willing to pay for the wetland conservation. However, the willingness to pay estimates differ among sub-populations and are reduced by the use of a cheap talk script. Some issues of applying choice modelling, including questionnaire designs and survey methods are discussed in the context of a developing country.

The Catchment Management Authorities in New South Wales have programs that are collectively investing $436 million over four years to achieve catchment-wide natural resource/environmental improvements. In this paper, we consider the question of how to best allocate these resources so as to increase the well-being of the public within catchments and the state. We consider the current approaches used by CMAs and make a case for Benefit-Cost Analysis as an alternative means of assessing ex ante questions of priority setting at the catchment level and for project appraisal. A major issue for BCA is the estimation of potential benefits from project investments, particularly the estimation of values that catchment communities and those living outside the catchments place on the non-use benefits associated with environmental improvements. We discuss alternative means of eliciting such values and propose the stated-preference method of Choice Modelling as a means of overcoming this Benefit-Cost Analysis shortcoming, because it incorporates advances in non-market valuation.

The extent of the benefits of improved river health remain uncertain. Quantifying these benefits is useful in prioritising policy investments. This study uses the Choice Modelling technique to estimate the value that households attach to attributes of improved river health. Data from a choice modelling survey supported by DSE Victoria are employed to elicit household preferences in a case study of the Goulburn River. Results from conditional and nested logit model specifications indicate that respondents hold positive values for higher levels of fish and bird populations and for increasing riverside vegetation. The standard Hausman test for Independence-from-Irrelevant-Alternatives (IIA) assumptions violations is found to give inconsistent results. The value estimates of the conditional and nested logit models are shown to be statistically similar indicating that testing for IIA violation may be more complicated than currently assumed thus raising questions about the efficacy of the more complex nested logit model.

The Victorian Environmental Assessment Council, in developing recommendations for the Victorian Government on the future management of public lands forests along he Murray River, and in East Gippsland, commissioned an analysis of environmental protections values. This paper reports the results of a choice modeling application that provides that analysis. Values for improved environmental conditions, as described by attributes relating to the forest composition, its wildlife characteristics and recreational opportunities, were estimated for sub-samples of households in Melbourne and in various regions around Victoria. The usefulness of the results as inputs to benefit cost analyses of policy alternatives is assessed.

The lack of appropriate incentives through conventional markets is a major cause of deterioration of biodiversity on private land. In response, governments often intervene through changing the incentives faced by landholders. There are, however, potentially many ways that the incentives to private landholders could encourage improved conservation of native vegetation on private lands. These policies and incentives leverage change in different ways and are suited to differing opportunities and objectives and incur different costs. Our goal in this paper is to provide some guidance to support incentive selection and design decisions. We initially develop a framework for incentive decision, design and implementation. The framework is supported and illustrated using a number of case studies of pragmatic incentive delivery. Some common themes that emerge from this analysis are: the importance of understanding the biodiversity and institutional issue; methods to optimise opportunities or work within constraints; and the importance of incentive review and revision.

This paper revisits two conventional beliefs of environmental nonmarket valuation and examines their weaknesses and a new opportunity. The two beliefs are that willingness to pay (WTP) is an appropriate measure of non-market behaviour and that exogenous variables are relevant predictors of WTP whilst endogenous variables are not. The contemporary literature in psychology and economics is reviewed to demonstrate departures from these two beliefs.