Evaluating residents' preferences for remediation technologies: A choice experiment approach

Modelling welfare estimates in discrete choice experiments for seaweed-based renewable energy

We explore what researchers can gain or lose by using three widely used models for the analysis of discrete choice experiment data-the random parameter logit (RPL) with correlated parameters, the RPL with uncorrelated parameters and the hybrid choice model. Specifically, we analyze three data sets focused on measuring preferences to support a renewable energy programme to grow seaweed for biogas production. In spite of the fact that all three models can converge to very similar median WTP values, they cannot be used indistinguishably. Each model is based on different assumptions, which should be tested before their use. The fact that standard sample sizes usually applied in environmental valuation are generally unable to capture the outcome differences between the models cannot be used as a justification for their indistinct application.

Integration of residents' experiences into economic planning process of coastal villages: Evidence from the Greater Hangzhou Bay Rim Area

Public value is gaining prominence from both academics and politicians with regards to China’s rural development. However, rural planning authorities and practitioners showed limited confidence on public, which manifests as few public perceptions were integrated into the planning documents. This study explores the potential role of residents’ experiences in illustrating local economic development within the context of coastal villages in which economic and industries are rapidly transforming. Two case studies from within the locale of the Greater Hangzhou Bay Rim Area are used in this article to examine the gap between residents’ experiences and the actual economic development that has occurred. The main findings suggest that rural residents can directly reflect upon both current and historic trends of local economic development. Moreover, household income satisfaction (HIS) is a comprehensive notion of residents’ experiences, and indicates social and economic sustainability of industrial transformation, or “thriving business”, that have been highlighted in coastal villages. Public experiences could therefore act as a valid and accessible evidence for planners in rural economic planning in China and other developing countries.

Enriching social and economic aspects in sustainability assessments of remediation strategies - Methods and implementation

Over the last decade, there has been rapid development in promoting and implementing sustainable remediation. It is now common to include at least some sustainability considerations in remediation projects. Specific challenges that have been highlighted often relate to economic and social aspects not receiving enough attention: broadening the social aspects, community and meaningful stakeholder engagement, understanding stakeholders' risk perception, and a need for better estimates of site-specific economic costs and benefits. This study presents an application of the Sustainable Choice of REmediation (SCORE) framework with special focus on (1) demonstrating the working process for a broad sustainability assessment and (2) sharing the lessons learned from its application. Specific objectives are to describe (a) the types of stakeholders involved in the assessment, (b) the methods for collection of social and economic sustainability data, (c) residents' perception of risks, (d) the use of the sustainability assessment results in the decision-making process, and (5) possibilities for improving the methods and working process. SCORE was applied and evaluated with input from, and together with, stakeholders at the BT Kemi industrial site in the village of Teckomatorp, south Sweden, a former pesticide production site associated with the most infamous Swedish environmental scandal. A questionnaire (n = 78) was used to collect input from residents regarding local acceptance and economic externalities of the remediation alternatives. Alternatives with a high degree of removal of contaminants received a high ranking in the assessment, primarily due to social and economic effects. The working process can be improved, specifically regarding workshop preparation and workshop structure. A broad representation of stakeholders and early establishment of communication channels to residents is key for robust assessment of social aspects. The information from the sustainability assessment was used in the decision-making process, not least for revising remediation options.

Can consumer food choices contribute to reduce environmental impact? The case of cisgenic apples

In the last decade, cisgenic breeding emerged as a valuable alternative to transgenic genetic modification. Cisgenesis allows to obtain disease-resistant crops, thus reducing the need of chemical pesticides in the fields. This would imply a reduction of the environmental impact deriving from agricultural production. To concretely exploit the potential deriving from such biotechnology application, consumers' willingness to buy and consume such food is an essential matter. In this study we explore consumer choice behavior for cisgenic vs conventional apple alternatives through a hypothetical Choice Experiment, meanwhile examining attribute non-attendance behaviors. The Latent Class Model estimates reveal considerable differences across population segments in terms of choice behavior and preferences. In fact, while some consumers choose based on this attribute, a sizable segment of the population ignores it, suggesting that there may be room on the market for these products with potential implications in terms of environmental and food policy formulation.

Understanding herders' stocking rate decisions in response to policy initiatives

Overgrazing is widely accepted to be the main driver of grassland degradation. However, policies designed to reduce overgrazing are poorly understood in terms of their political acceptability and their effectiveness in improving the sustainability of grassland management. This study was conducted to explore herders' preferences across a range of policies aimed at reducing stocking rates and how those policies impact on their stocking rate decisions. Choice Modelling and Contingent Behavior methods were used in a survey distributed to a sample of Inner Mongolian herders. It was found that while increasing the extent of loan payments and subsidies were popular amongst the herder respondents; these policy options are predicted to have no significant effect on stocking rates. In contrast, less preferred policies such as increasing the probability of being caught exceeding stocking rate limits and increasing the financial penalties associated with such breaches would be effective in reducing grazing pressure. Only the policy of increasing pension payments was shown to be both popular amongst respondents and effective in reducing stocking rates. The results from this research provide useful information to policy makers in their consideration of new policy initiatives.

Targeting cleanups towards a more sustainable future

A tension arises between society's disposition to protect people at risk from environmental pollution, and an aversion towards the potential harmful side-effects associated with cleanup activities. Here we explore how setting different cleanup standards may influence some of the environmental, social, and economic side-effects of remediation, and how they can be quantified for incorporation into cleanup target setting; these include (1) secondary environmental impacts, assessed by life cycle assessment (LCA); (2) fatalities and injuries, assessed by actuarial risk analysis; and (3) the cost effectiveness of stringent cleanup standards, assessed by the incremental cost-effectiveness ratio (ICER). We argue that only by using optimal cleanup standards that integrate quantified remediation side-effects with health risk assessment (HRA) can the green and sustainable remediation (GSR) movement maximize its potential. Together, the combined approaches may provide a more holistic management of risks for a more sustainable future.