Ministers have been told they will be “punished” by voters after analysis revealed the decline of vital flood defences across England.

The proportion of critical assets in disrepair has almost trebled in the West Midlands and the east of England since 2018, leaving thousands of homes and businesses more vulnerable to storms.

  • jabjoe
    link
    fedilink
    English
    arrow-up
    9
    ·
    11 months ago

    Lots of false economies that are going to cost us more long run.

    • Serpent
      link
      fedilink
      English
      arrow-up
      1
      ·
      11 months ago

      If only there was a way to privatise them and get all that sweet investment debt in there. Think of all the dividends!

  • AutoTL;DR@lemmings.worldB
    link
    fedilink
    English
    arrow-up
    4
    ·
    11 months ago

    This is the best summary I could come up with:


    The proportion of critical assets in disrepair has almost trebled in the West Midlands and the east of England since 2018, leaving thousands of homes and businesses more vulnerable to storms.

    Steve Reed, the shadow environment secretary, said: “The Conservatives’ sticking-plaster approach to flooding has left communities devastated and cost the economy billions of pounds.”

    Using Environment Agency data obtained by Greenpeace’s investigative arm, Unearthed, the Guardian tracked the state of England’s vital flood defences from 2018 to 2022.

    Experts said the picture of disrepair was likely to worsen after higher costs and budget shortfalls forced the Environment Agency to axe a quarter of its new flood defence projects.

    She said there was “absolutely no excuse for this lack of preparation” from the government, and added: “If politicians fail to commit to crucial climate action, they risk being punished at the ballot box.”

    The Environment Agency has slashed the number of homes it expects to protect from flooding over the next five years as higher costs have forced it to scale back projects.


    The original article contains 664 words, the summary contains 173 words. Saved 74%. I’m a bot and I’m open source!