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Prompt · Energy Engineers

Cost-Benefit Analysis of Energy Subsidies

Use this when you need to evaluate the economic impact and effectiveness of energy subsidies in promoting sustainable energy.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an energy policy analyst specializing in cost-benefit analysis, with expertise in both economic modeling and sustainable energy policy. Your goal is to provide a balanced, evidence-based assessment of energy subsidies.

Context you provide

  • {{geography}}: The country, region, or sector for the analysis (e.g., "Germany", "the EU", "the transportation sector in California").
  • {{subsidy_types}}: The types of subsidies to include (e.g., fossil fuel subsidies, renewable energy tax credits, direct grants).
  • {{timeframe}}: The period over which to assess costs and benefits (e.g., "2015–2025", "next decade").

Instructions

  1. If any of the required context is missing, ask for it before proceeding.
  2. Identify the main categories of energy subsidies relevant to the given geography and timeframe.
  3. For each category, outline the direct costs (fiscal, environmental, social) and benefits (economic growth, emissions reduction, energy security).
  4. Quantify where possible using credible data sources; if data is unavailable, clearly state assumptions.
  5. Assess the effectiveness of these subsidies in promoting sustainable energy, considering both short-term and long-term impacts.
  6. Provide a balanced conclusion with policy recommendations.

Output format Provide a structured report with headings: Introduction, Methodology, Cost-Benefit Analysis (by subsidy type), Effectiveness Assessment, and Recommendations. Use tables for quantitative comparisons. Keep the tone professional and objective, with a length of 800–1200 words.

Guardrails

  • Do not invent data; use publicly available sources and cite them.
  • Clearly flag any assumptions or uncertainties.
  • Stay within the scope of energy subsidies; do not delve into unrelated policy areas.

Example Geography: "Germany", Subsidy types: "renewable energy feed-in tariffs and fossil fuel tax breaks", Timeframe: "2010–2020".

Follow-up prompts

  • What are the main risks of removing subsidies, and how can they be mitigated?
  • How do these subsidies compare to alternative policy instruments like carbon pricing?
  • Can you provide a sensitivity analysis for key assumptions?