Valuing Climate Change Mitigation
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Valuing Climate Change Mitigation

Applying Stated Preferences in the Presence of Uncertainty

Sonia Akter and Jeff Bennett

Valuing Climate Change Mitigation discusses the role of uncertainty in valuing the benefits of climate change mitigation policies using contingent valuation and choice experiment techniques. It treats climate change using three dimensions of uncertainty: scenario, policy and preference. Conceptual frameworks are advanced to account simultaneously for these various dimensions of uncertainty. The authors then explore the impact of introducing these uncertainties into benefit estimates for the Australian Carbon Pollution Reduction Scheme.
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Chapter 5: Public Perceptions, Understanding and Knowledge of Climate Change

Sonia Akter and Jeff Bennett


5.1 INTRODUCTION The previous chapter described the data collection process. This chapter presents the results related to sampled respondents’ perceptions, understanding and knowledge of climate change. The chapter is divided into six sections. Section 5.2 summarizes the sociodemographic characteristics of the sampled households. Section 5.3 presents descriptive and correlation statistics of respondents’ concerns and beliefs regarding anthropogenic climate change and their knowledge of and familiarity with climate change mitigation measures. Section 5.4 summarizes responses regarding perceptions of the scale and impacts of unmitigated climate change and effectiveness of the proposed mitigation measures. Section 5.5 analyses decisions about undertaking individual actions against climate change. Section 5.6 concludes. 5.2 SOCIODEMOGRAPHIC CHARACTERISTICS OF THE SAMPLE Table 5.1 compares the sociodemographic characteristics of the 1200 households sampled with the regional and national population statistics. Fifty-four per cent of the respondents who participated in the online survey were female. The sample sex ratio (0.9) is less than both Sydney (1.16) and national (0.99) female-to-male ratios. A Chi-square test of proportions revealed that the differences between the sample and the Sydney and Australian population with respect to sex ratio are not statistically significant at the 10 per cent level. The average age of the respondents was about 34 years. Less than a quintile (17 per cent) of the respondents was 18 to 24 years old. Sixteen per cent of the respondents belonged to the 45–54 age group while about 11 per cent were over 54 years. The sample average age is slightly lower than the...

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