Mapping participation: A systematic analysis of diverse public participation in the UK energy system

This is a systematic review, not an experiment. The researchers tested a novel methodological approach for mapping diverse forms of public participation in a complex system (the UK energy system). They did not test an intervention. Instead, they:

**Developed a search strategy** to identify all documented cases of public participation related to the UK energy system between 2010 and 2015.

**Categorised each case** along three dimensions:

- **What** (energy objects and issues involved—e.g., wind farms, smart meters, nuclear power, energy efficiency)

- **How** (procedural formats—e.g., public meetings, online forums, protests, community cooperatives, consumer choices)

- **Who** (publics involved—e.g., local residents, activists, consumers, energy users, citizens)

**Analysed patterns** across these 258 cases to identify what forms of participation are common, rare, or invisible in conventional accounts.

The "outcome" is not a health or behavioural metric but a descriptive mapping of the landscape of participation itself. The comparator is the conventional assumption that participation in energy systems is dominated by formal, state-led consultations and large infrastructure projects.

No human participants were recruited. The "subjects" are 258 documented cases of public participation in the UK energy system. These cases were identified through:

**Systematic database searches** (Scopus, Web of Science, Google Scholar)

**Grey literature searches** (government reports, NGO publications, industry documents)

**Expert consultation** (academics and practitioners in energy participation)

**Snowball sampling** (following references from identified cases)

The cases span the entire UK (England, Scotland, Wales, Northern Ireland) and cover the period January 2010 to December 2015. The types of cases include: formal public consultations on energy projects, community energy cooperatives, protest movements, online energy forums, citizen juries, consumer behaviour change programmes, and everyday energy practices (e.g., switching suppliers, installing insulation).

The researchers developed a structured coding framework to extract data from each case. They measured:

**Energy objects/issues**: What specific energy technology, policy, or issue was the focus? (e.g., wind energy, nuclear power, fracking, smart meters, energy efficiency, fuel poverty)

**Procedural format**: How did participation occur? (e.g., public meeting, online forum, protest, cooperative membership, consumer choice, citizen jury, deliberative poll)

**Publics involved**: Who participated? (e.g., local residents, energy consumers, activists, community groups, businesses, marginalised groups)

**Scale**: Local, regional, national, or international

**Duration**: One-off event, ongoing process, or campaign

**Initiator**: Who organised the participation? (e.g., government, industry, civil society, community groups)

**Level of influence**: Did participation have decision-making power, advisory input, or no formal influence?

Each case was coded by at least two researchers independently, with disagreements resolved through discussion. The researchers also conducted a "meta-analysis" of patterns across cases, using descriptive statistics (counts, percentages) and network analysis to visualise connections between different forms of participation.

**Study design:** Systematic review with a novel "mapping" methodology. This is not a meta-analysis in the statistical sense (no effect sizes pooled) but a systematic synthesis of qualitative and quantitative data across cases.

**Search strategy:** The researchers used a comprehensive search string combining terms for "participation," "public engagement," "energy," and "UK." They searched five academic databases and 12 grey literature sources. Inclusion criteria were:

Documented case of public participation related to the UK energy system

Occurred between 2010 and 2015

Available in English

Sufficient detail to code at least two of the three dimensions (what, how, who)

**Screening:** Two reviewers independently screened titles/abstracts, then full texts. Disagreements resolved by discussion. They identified 258 eligible cases from an initial pool of ~1,200 records.

**Data extraction:** A standardised form was used to extract: case description, energy objects/issues, procedural format, publics involved, scale, duration, initiator, level of influence. Each case was coded by two researchers.

**Analysis:** Descriptive statistics (frequencies, percentages) were calculated for each coding dimension. Network analysis was used to visualise connections between energy objects, formats, and publics. The researchers also conducted a qualitative thematic analysis of case narratives to identify patterns in how participation was framed and valued.

**What this design can prove:**

It can provide a comprehensive, systematic description of the landscape of energy participation in the UK over a specific time period.

It can identify which forms of participation are common, rare, or invisible in existing literature.

It can reveal patterns and connections between different types of participation (e.g., which energy issues tend to attract which publics).

It can challenge conventional assumptions about what "counts" as participation.

**What this design cannot prove:**

It cannot establish causality—it cannot tell us why certain forms of participation occur or what effects they have.

It cannot measure the quality, depth, or impact of participation (only its documented existence).

It cannot capture undocumented or informal participation (e.g., everyday energy practices that are not recorded in any source).

It cannot generalise beyond the UK or beyond 2010–2015.

It cannot compare the effectiveness of different participation formats (no outcome data on, say, whether protests changed policy more than consultations).

**Major methodological weaknesses:**

**Publication bias:** Cases that are documented in academic or grey literature may over-represent formal, organised, or controversial participation. Everyday, mundane participation (e.g., switching off lights) is likely under-represented.

**Coding subjectivity:** Despite dual coding, categorising complex participation events into predefined categories involves interpretation. For example, a community energy group might be coded as both "cooperative" and "consumer choice."

**Temporal boundary:** 2010–2015 captures a specific political and economic context (austerity, early fracking debate, renewable energy subsidies). Patterns may differ before or after.

**Geographic boundary:** UK-specific. Findings may not apply to other countries with different energy systems, political cultures, or participation traditions.

The researchers present findings organised around the three dimensions (what, how, who) plus overall patterns.

**What (energy objects and issues):**

The most common energy objects were **renewable energy** (42% of cases, 108/258), particularly wind energy (28% of all cases, 72/258) and solar (8%, 21/258).

**Nuclear energy** appeared in 12% of cases (31/258), often in the context of new build proposals (e.g., Hinkley Point C).

**Fracking/shale gas** appeared in 11% of cases (28/258), despite being a relatively new issue in the UK during this period.

**Energy efficiency and demand reduction** appeared in 15% of cases (39/258), often through behaviour change programmes.

**Smart meters** appeared in 6% of cases (15/258), reflecting the national rollout programme.

**Fuel poverty and energy justice** appeared in only 4% of cases (10/258), despite being a significant policy issue.

**How (procedural formats):**

**Formal consultation processes** (e.g., planning consultations, public inquiries) accounted for 31% of cases (80/258).

**Community energy groups and cooperatives** accounted for 18% of cases (46/258).

**Protests and campaigns** accounted for 14% of cases (36/258).

**Online participation** (e.g., forums, social media campaigns, e-petitions) accounted for 9% of cases (23/258).

**Deliberative processes** (e.g., citizen juries, consensus conferences) accounted for only 5% of cases (13/258).

**Consumer behaviour** (e.g., switching suppliers, installing microgeneration) was rarely documented as "participation" in the literature, appearing in only 3% of cases (8/258), despite being the most common form of energy-related action by citizens.

**Who (publics involved):**

**Local residents** were the most common public, appearing in 48% of cases (124/258).

**Energy consumers** appeared in 22% of cases (57/258).

**Activists and campaigners** appeared in 18% of cases (46/258).

**Community groups** appeared in 16% of cases (41/258).

**Marginalised groups** (e.g., low-income households, ethnic minorities, elderly) appeared in only 6% of cases (15/258).

**Young people** appeared in only 3% of cases (8/258).

**Overall patterns:**

The researchers identified a **"dominant model"** of participation: formal consultations on large-scale energy infrastructure (especially wind and nuclear), initiated by government or industry, involving local residents, with limited decision-making influence.

However, this dominant model accounted for only ~30% of cases. The remaining 70% were more diverse, including community-led initiatives, protests, online engagement, and consumer actions.

**Network analysis** revealed that most participation formats were siloed—formal consultations rarely connected to community groups, and protests rarely connected to deliberative processes. This suggests a fragmented participation landscape rather than an integrated "system."

**Everyday participation** (e.g., energy saving, switching suppliers, installing solar panels) was systematically under-documented in the literature, meaning the true scale of public engagement with energy is likely much larger than the 258 cases suggest.

This is not an experimental study, so there are no effect sizes in the traditional sense. However, the key "effect" is the **discrepancy between conventional assumptions and documented reality**:

**Conventional assumption:** Public participation in energy is dominated by formal consultations on large infrastructure projects.

**Documented reality:** Formal consultations account for only 31% of cases. Community energy (18%), protests (14%), and online engagement (9%) are substantial minorities.

**Invisible majority:** Everyday consumer actions (switching suppliers, installing microgeneration, reducing energy use) are the most common form of energy participation by volume but appear in only 3% of documented cases.

In plain English: if you only look at official consultations, you miss about 70% of what is actually happening. The "effect" is a shift in perspective—from seeing participation as a narrow, formal process to recognising it as a diverse, distributed, and often informal set of practices.

**Acknowledged by authors:**

The mapping is limited to documented cases, which may not capture informal or everyday participation.

The 2010–2015 timeframe may miss longer-term trends or recent developments (e.g., the rise of climate activism after 2018).

The UK focus limits generalisability to other countries.

Coding categories are necessarily simplified and may not capture the complexity of individual cases.

The study describes patterns but does not evaluate the quality or impact of participation.

**Critical reader observations:**

**Publication bias is severe:** Academic and grey literature over-represents formal, organised, and controversial participation. Everyday actions like turning off lights or choosing a green tariff are almost invisible, even though they involve millions of people.

**No outcome data:** The study cannot tell us which forms of participation are more effective at achieving policy change, building community resilience, or reducing carbon emissions. It is purely descriptive.

**Definitional ambiguity:** The boundary between "participation" and "everyday behaviour" is blurry. Is choosing a green energy tariff "participation"? The authors argue yes, but most literature treats it as consumer behaviour. This definitional choice dramatically affects the results.

**Missing power analysis:** The study documents who participates but not who has influence. A protest with 10,000 people may have less policy impact than a closed-door meeting with three industry executives. The mapping does not capture this.

**No longitudinal tracking:** The study is a snapshot (2010–2015). It cannot show how participation patterns change over time in response to policy, technology, or social movements.

For someone running their own n=1 experiment on energy participation (e.g., trying to influence a local energy project or understand their own engagement):

**What to test:**

**Your own participation portfolio:** Track all the ways you engage with energy over a month—not just formal actions (attending meetings, signing petitions) but also everyday actions (switching suppliers, adjusting thermostat, choosing appliances, discussing energy with neighbours).

**A specific intervention:** For example, "If I attend one local planning meeting per month for three months, does my sense of influence over energy decisions change?" Or, "If I switch to a time-of-use tariff, does my energy consumption pattern change?"

**Minimum meaningful duration:**

**For tracking participation:** At least one month to capture weekly and monthly patterns (e.g., bill paying, meetings, online engagement). Three months is better to see if patterns stabilise.

**For testing an intervention:** At least 4–6 weeks to allow for habituation and to observe any changes in behaviour or attitudes.

**What to measure (specific metrics):**

**Frequency:** Count of participation events per week (e.g., number of meetings attended, online posts made, energy-related conversations had).

**Type:** Categorise each event as formal (meetings, consultations), informal (conversations, social media), or everyday (energy-saving actions, purchasing decisions).

**Duration:** Minutes spent per participation event.

**Perceived influence:** On a 1–10 scale, "How much influence did this action have on energy decisions that affect you?"

**Energy behaviour:** kWh used per day, thermostat setting, number of appliance switches, supplier changes.

**Emotional response:** On a 1–10 scale, "How empowered/frustrated/hopeful did this participation make you feel?"

**Key confounds to control for:**

**Seasonality:** Energy behaviour changes dramatically with weather. Track outdoor temperature and heating degree days.

**Life events:** Moving house, changing jobs, having a baby—all affect energy use and participation capacity.

**News cycles:** Major energy stories (e.g., price cap announcements, climate reports) can temporarily spike participation. Note these in a diary.

**Social context:** Participation is often triggered by neighbours, friends, or community groups. Track who initiated each participation event.

**Time availability:** Your participation may be constrained by work, family, or other commitments. Track hours available for participation per week.

**What a positive result would look like:**

**For participation tracking:** You discover that your energy participation is more diverse than you thought—e.g., you engage through consumer choices, conversations, and online actions, not just formal meetings. This validates the paper's finding that participation is broader than conventional accounts suggest.

**For an intervention:** You find that attending meetings increases your perceived influence by 2+ points on the 1–10 scale, or that switching to a time-of-use tariff reduces your peak-time consumption by 15% or more. Alternatively, you might find that informal actions (e.g., talking to neighbours) have a larger emotional payoff than formal ones (e.g., attending consultations), even if formal actions have more policy impact.

**For understanding confounds:** You identify that your participation drops by 50% during busy work periods, or that your energy use is 20% higher in winter regardless of participation. This helps you design future experiments that account for these factors.

**Specific n=1 experiment idea:**

Test the paper's claim that everyday participation is invisible. For one month, keep a detailed diary of every energy-related action you take (including switching lights off,