Social
From the existing research on public attitudes to innovation, we can identify a set of commonly shared beliefs and values about climate innovations. These are known to be typically less susceptible to change across different situations. They can be used to flag technology characteristics or modes of implementation which are associated with more positive or negative perceptions. In addition, we include indicators which reflect the ways in which different people might respond differently to different GGR proposals or different ways in which GGRs are developed and implemented.
To make this as user-friendly as possible, we have simplified the indicators into a questionnaire, comprising 12 ‘yes/no’ questions relating to commonly-shared social readiness factors, and 5 multiple choice questions relating to socio-cultural worldviews. The questions enable identification of areas in which a project might encounter such risks, so that innovators can take action, and enable better alignment of GGR approaches with preferred implementation contexts. Fir each of the 17 questions, we also include open-ended questions to ‘please explain the reasons for your choice’. These are intended to enable respondents to consider in more depth the ways in which a project or proposal might encounter social risks, to assist with their planning.
It is important that the answers to these questions are supported by robust evidence, and ideally by empirical data on the specific project or proposal, conducted by social science experts. Therefore for each of the 17 questions, proposals score an ‘X’ if no data is available. A large number of ‘X’ scores shows that social considerations are under-considered by this project, and action must be taken to support the evidence base and to identify societal risks.
Approach
First, the existing research on this topic was used to identify theoretically-informed criteria for the ‘social readiness’ of technologies and innovations, and the ways in which they might be implemented and interact with society. We identified four broad dimensions, each of which encompasses a specific body of knowledge about societal considerations: Psychometric Risk Factors; Inflexibility Indicators; factors relating to Responsible Innovation; and Socio-cultural preferences. Each of these dimensions contains multiple proposed indicators.
Within these four dimensions, a long-list of indicators was developed, adapted from previous work on evaluating climate innovations. From the long list, indicators were assessed for their suitability and applicability to GGRs and to demonstration projects. Empirical work in the field of public perceptions of GGR, and of analogous areas such as Carbon Capture and Storage (CCS), has identified several factors influencing public perceptions, such as ‘naturalness’, ‘justice’ and ‘co-benefits’; these have been included, whilst maintaining the theoretical focus stemming from the four dimensions. Another important factor is public trust; however, rather than an indicator in its own right, this is best thought of as an overarching principle which informs several of the indicators in the table.
As the project has been developing, we have been testing the social indicators – and the CO2RE Principles framework more broadly – with a wide range of important stakeholders, including investors, policy-makers, NGOs and the general public. GGR projects tell us that they recognise that more engagement with local communities would have benefitted their projects in multiple ways, and are keen to use the social considerations indicators in their next scale-up phase.
Indicators
Dimension | Indicator | Question | Scoring | |
1 | Psychometric | Familiarity | Does the proposal use any materials which might be considered unfamiliar? |
Y=0 N=1 No data=X |
1b | Please explain the reasons for your choice | Open-ended | ||
2 | Psychometric | Voluntariness | Will members of the public be involved in decisions to deploy? |
Y=1 N=0 No data=X |
2b | Please explain the reasons for your choice, including how you have defined ‘the public’ | Open-ended | ||
3 | Psychometric | Observability | Does the proposal involve visible infrastructure at large scale, visible land-use changes, or create aesthetic impacts? |
Y=0 N=1 No data=X |
3b | Please explain the reasons for your choice | Open-ended | ||
4 | Psychometric | Catastrophic Potential | Does the proposal have any risk (even small) of catastrophic impacts? (i.e. involving or causing a sudden disaster), or risk to life? |
Y=0 N=1 No data=X |
4b | Please explain the reasons for your choice, including how you have defined ‘catastrophic’ | Open-ended | ||
5 | Inflexibility | Capital Intensity | Does your innovation require large amounts of capital investment and/or capital cost subsidy? |
Y=0 N=1 No data=X |
5b | Please explain the reasons for your choice | Open-ended | ||
6 | Inflexibility | Lead times | Does the proposal require new infrastructure or substantial changes to existing infrastructure with a long lead time? |
Y=0 N=1 No data=X |
6b | Please explain the reasons for your choice | Open-ended | ||
7 | Inflexibility | Irreversibility | Does the proposal release material into the environment? |
Y=0 N=1 No data=X |
7b | Please explain the reasons for your choice | Open-ended | ||
8 | Inflexibility | Co-benefits | Does the proposal have a narrow focus on a single mission, for example to remove GHGs? |
Y=0 N=1 No data=X |
8b | Please explain the reasons for your choice | Open-ended | ||
9 | Responsibility | Distribution of Risks | Are the risks of the proposal shared equitably amongst affected parties? |
Y=1 N=0 No data=X |
9b | Please explain the reasons for your choice, including how you have defined ‘affected parties’ |
Open-ended |
||
10 | Responsibility | Distribution of benefits | Are the benefits, including co-benefits, shared equitably amongst the affected parties? |
Y=1 N=0 No data=X |
10b | Please explain the reasons for your choice, including how you have defined ‘affected parties’ |
Open-ended |
||
11 | Responsibility | Procedural justice | Are members of the public involved in shaping the research, development, demonstration and deployment of the project? |
Y=1 N=0 No data=X |
11b | Please explain the reasons for your choice, including how you have defined ‘the public’ |
Open-ended |
||
12 | Responsibility | Naturalness | Might the processes involved be perceived by communities or the general public as ‘unnatural’? |
Y=0 N=1 No data=X |
12b | Please explain the reasons for your choice |
Open-ended |
||
13 | Socio-cultural | Who benefits? | What is the primary benefit of the project? A) meets government targets and regulations; B) generates wealth; C) creates environmental co-benefits |
A, B, C No data=X |
13b | Please explain the reasons for your choice |
Open-ended |
||
14 | Socio-cultural | Who implements? | Who would most likely be the main actor involved in implementing this proposal if upscaled? A) government; B) private companies; C) local communities |
A, B, C No data=X |
14b |
Open-ended |
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15 | Socio-cultural | Who loses? | Who is most at risk in the event of failure? A) public/state institutions; B) market actors (investors, profit-making entities); C) local or indigenous communities, or the environment |
A, B, C No data=X |
15b | Please explain the reasons for your choice, including how you have defined ‘failure’ |
Open-ended |
||
16 | Socio-cultural | How fast? | On what timescale would the project be ready for deployment at scale? A) Longer-term; B) When the proposal is ready for market; C) Very soon |
A, B, C No data=X |
16b | Please explain the reasons for your choice |
Open-ended |
||
17 | Socio-cultural | What infrastructure? | What sort of infrastructure, physical assets or physical changes would be involved? A) Long-lasting; B) Rapidly-replaceable; C) Landscape-enhancing |
A, B, C No data=X |
17b | Please explain the reasons for your choice |
Open-ended |
Social team
Dr Rob Bellamy
University of Manchester
Dr Emily Cox
University of Oxford
Dr Laurie Waller
University of Manchester
Do you have feedback?
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