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Renewable Energy Growth Slows Due To Policy Changes -- IEA

  • Bias Rating
  • Reliability

    40% ReliableAverage

  • Policy Leaning

    50% Medium Right

  • Politician Portrayal

    -54% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

49% Positive

  •   Liberal
  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

63% : Nevertheless, it said China still accounts for most of the growth in renewable energy and that the country is on track to attain its 2035 wind and solar power target five years ahead of schedule.
63% : Solar panels accounted for around 80 percent of the global growth in renewable energy over the past five years, the IEA estimated, followed by wind, water, biomass and geothermal power.
62% : "The deployment of renewables has already reduced fuel import needs significantly in many countries, enhancing energy diversification and security," it said.
60% : Last year, the Paris-based agency, which advises nations on energy, had forecast that the world would come close to that target with the addition of 5,500 GW of renewable power.
58% : But the IEA now sees only a 4,600 GW gain, or 2.6 times the 2022 level, due to "policy, regulatory and market changes since October 2024", it said in its latest report on renewable energy.
57% : Growth in renewable energy, a key part of efforts to limit dangerous climate change, is slowing down due to policy changes in the United States and China, and will fall short of a key goal, the International Energy Agency said Tuesday.
43% : The IEA revised down its forecast for the United States by almost 50 percent due to the early phase-out by President Donald Trump's administration of tax credits for renewables and tighter regulatory controls over projects.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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