Valuing Climate Change Mitigation

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.

Chapter 4: Data

Sonia Akter and Jeff Bennett

Subjects: economics and finance, environmental economics, valuation, environment, climate change, environmental economics, valuation

Extract

4.1 INTRODUCTION The previous chapters of this book presented the background to the research and summarized the theoretical and empirical research on decision making under uncertainty. The following chapters present new empirical evidence on decision making under uncertainty in the context of climate change mitigation. The novelty of these empirical findings is that they account for multiple dimensions of climate change uncertainty. The primary data underpinning these findings were collected from residents of Sydney, Australia by interviewing over 1000 Sydney households via the Internet. This chapter describes that primary data collection process. The next section describes the research design, the questionnaire and the experimental design of the CE. Section 4.3 discusses the survey mode, the sampling procedure and the final survey. Section 4.4 offers concluding remarks. 4.2 QUESTIONNAIRES AND EXPERIMENTAL DESIGN This section is divided into three subsections. The first summarizes the research design. The second presents a description of the various versions of the questionnaires used in the CV and CE surveys followed by a description of the experimental design used for the CE survey. 4.2.1 Research Design The data collection plan involved public interviews in three separate samples: one CV and two CE samples. The CV respondents were first asked the standard ‘Yes/No’ DC valuation question. Then they were asked to indicate their level of certainty about their ‘Yes/No’ decisions within a ten-point NCS (numerical certainty scale). The first CE sample involved a three-option choice (two change options 1 status quo). This is the most frequently used form...

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