Experimental Design
We implement a conjoint experiment which will be included as an extra module in a large survey of German firms (described below). In what follows, we refer to the module as the survey. Respondents take the survey online and on the first screen, they are informed about its expected length (roughly 10 minutes) and aim (to better understand how companies take potential future carbon prices into account in their investment decisions). Respondents are told that they will be presented with various scenarios to this end.
At the beginning of the survey, we elicit a) the investment amount firms usually spend for a typical investment project and b) the payback horizon of such a typical investment project. We ask respondents to think of a major investment project that their company has most recently carried out, for example a tangible investment (machinery, buildings, vehicle fleet) or an intangible investment (research and development, software, licenses). These `typical' investment projects, in particular their payback horizons, serve as reference points later on in the survey.
In the main part of the experiment, respondents are asked to imagine that their firm is considering an investment project which would reduce its carbon emissions and increase its energy efficiency. We will refer to this project as a ``green investment'' or ``decarbonization investment''. They are informed that its investment amount and useful life are comparable to their firm's typical investment project (elicited at the beginning of the survey) and that the economic viability of the green investment largely depends on the future trajectory of the carbon price.
Next, respondents are told that they will be asked to make investment decisions under five scenarios of future carbon prices, each of which specifies the expected average carbon price over the useful life of the green investment and an uncertainty range around this average. Respondents are informed that the average carbon price over the green investment's useful life can take any value within the uncertainty range with equal probability. In addition, we tell respondents that, in each scenario, they will be informed about the expected payback period of the green investment and the associated uncertainty range implied by the carbon price scenario.
The five scenarios for the expected average carbon price over the useful life of the green investment and its uncertainty range - the two attributes of our conjoint experiment - are randomly selected without replacement, so that respondents do not see any scenario twice. The order in which the two attributes are shown is randomized across respondents, but fixed within respondents.
The expected future carbon price can take on the following attribute levels: [50 EUR, 75 EUR, 100 EUR, 125 EUR, 150 EUR, 175 EUR, 200 EUR]. The uncertainty range can take on the following attribute levels (expressed as percentage deviation from the expected carbon price): [+/- 0\%, +/- 25\%, +/- 50\%, +/- 75\%, +/- 100\%]. For the ease of interpretation we additionally show the uncertainty range for the expected carbon price in monetary units.
The expected payback period of the green investment and its uncertainty range resulting from the respective carbon price scenario will be shown below the two attributes.
For each scenario, respondents are asked how likely it is that their firm would carry out the green investment under the stated conditions on a categorical scale ranging from ``very unlikely'' to ``very likely''. This question constitutes the outcome question in our experiment. As described below, our research design allows us to estimate average marginal component effects for the two attributes in our conjoint experiment. In other words, we can measure how changing one attribute level to another causally affects the probability that the green investment is carried out in a given scenario, on average over all levels of the other attribute in our design.
In the post-experimental part of the survey, we elicit several dimensions of firms' climate- and investment-related environment and decision making. These questions, described below, are used for heterogeneity analyses.