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2025年,太阳能、电动汽车及其他清洁能源技术对中国经济增长的贡献已超过三分之一,并拉动超过九成的投资增长。

中国清洁能源行业产值在2025年达到创纪录的15.4万亿元人民币(约合2.1万亿美元),约占国内生产总值(GDP)的11.4%,该数字相当于巴西或加拿大的经济规模。

Carbon Brief基于官方数字、行业数据及分析师报告进行的最新分析显示,2022年至2025年间,中国清洁能源行业的实际规模几乎翻了一番;若将其视为一个独立经济体,其规模可位列全球第八。

该分析的其他主要成果包括:

  • 清洁能源行业支撑中国实现了“5%左右”的GDP增长目标,若排除清洁能源行业,2025年GDP实际增速仅为3.5%。
  • 清洁能源产业的扩张速度持续快于整体经济,其年增长率从2024年的12%提升至2025年的18%。
  • 电动汽车、电池和光伏“新三样”仍是中国清洁能源经济贡献的核心,创造了约三分之二的增加值,并吸纳了一半以上的行业投资。
  • 2025年,中国在清洁能源领域的投资达7.2万亿元人民币(约1万亿美元),约为同期化石燃料开采与煤电投资(2600亿美元)的四倍。
  • 尽管2025年清洁能源技术出口保持了快速增长,但对中国企业而言,国内市场在价值规模上仍显著大于出口市场。

这些投向清洁能源制造业的资金,代表着对中国乃至全球能源转型的重大押注,也为政府和企业保持这一发展势头提供了动力。

然而,未来的长期走势仍然存在不确定性,尤其是在太阳能领域。受136号文件下的新定价机制影响,太阳能发电装机增速已有所放缓,而中央政府设定的相关目标也明显低于近几年的实际扩张水平。

如果放缓趋势持续下去,这些产业或将从经济增长的驱动力转变为拖累因素,同时加剧工业领域的“产能过剩”问题,并进一步恶化国际贸易摩擦。

但即便中央政府对清洁能源未来五年的目标设定较为谨慎,地方政府和国有企业的规划与投资力度,仍有可能推动清洁能源产业继续实现显著增长。

本文在此前对2023年和2024年清洁能源经济贡献分析的基础上进行了更新。

清洁能源行业表现优于整体经济

中国的清洁能源经济持续高速增长,远超整体经济增速。这意味着它对年度经济增长的贡献尤为显著。

下图显示,2025年,清洁能源技术贡献了中国超过三分之一的GDP增量,并推动了超过90%的新增投资增长。

中国各行业对投资(左)与整体GDP(右)增长的贡献,单位:万亿元。来源:能源与清洁空气研究中心(CREA)为Carbon Brief所作分析。

2022年,中国清洁能源经济规模约为8.4万亿元人民币(1.2万亿美元)。到2025年,这一规模几乎翻了一番,达到15.4万亿元人民币(2.1万亿美元)。

这一体量相当于巴西或加拿大的经济总量,使中国的清洁能源产业堪比全球第八大经济体,产值约为世界第四大经济体印度经济总量的一般,也大致相当于美国加利福尼亚州经济规模的一半。

由于清洁能源产业持续跑赢整体经济,其在中国经济中的占比也在不断上升,从2022年占中国GDP的7.3%上升至2025年的11.4%。

中国清洁能源行业对国内生产总值(GDP)的贡献占比,%。
中国清洁能源行业对国内生产总值(GDP)的贡献占比,%。来源:能源与清洁空气研究中心(CREA)为Carbon Brief所作分析。

如果没有清洁能源行业,中国2025年的GDP增速将仅为3.5%,因此,在经济稳定增长为中国首要目标之一的2025年,清洁能源做出了至关重要的贡献。

下表按行业和活动进行了详细分类。

电动汽车和电池是GDP增长的最大驱动力

2024年,电动汽车和太阳能是最大的增长驱动力。而到了2025年,电动汽车和电池则占据了主导地位,合计贡献了44%的经济效益,以及清洁能源行业一半以上的增长。这主要得益于产出和投资的同步强劲增长。

在未剔除通胀因素的名义GDP口径下,电动汽车的贡献甚至更为突出。这是因为电动汽车价格同比保持相对稳定,而整体经济仍处于通缩环境中。同时,电池制造投资在2024年下滑后于2025年出现反弹。

下图展示了电动汽车和电池的主要贡献,既反映了清洁能源经济的整体规模,也显示了各子行业对年度增量的具体贡献情况。

2022-2025年中国清洁能源行业对国内生产总值(GDP)及其增长的贡献
2022-2025年中国清洁能源行业对国内生产总值(GDP)及其增长的贡献,单位:万亿元。来源:能源与清洁空气研究中心(CREA)为Carbon Brief所作分析。

第二大子行业是清洁能源发电、输电和储能,在2025年占清洁能源对GDP贡献的40%,并贡献了清洁能源产业当年约30%的增长。

在电力领域内部,最主要的增长动力来自风电和太阳能发电装机投资的扩大,以及风电和太阳能发电量的增长;其次是太阳能设备及材料的出口。

作为2022–2023年的重要增长引擎,太阳能组件产业链投资在2025年连续第二年下降,这与政府遏制产能过剩和行业“非理性”价格竞争的政策导向一致。

此外,铁路运输约占清洁能源行业总经济产出的12%,但其同比增长相对温和,2025年其营业收入增长3%,投资增长6%。

需要指出的是,国际能源署(IEA)在其《世界能源投资报告》中估计,中国2025年清洁能源投资为 6270亿美元,而化石能源投资为 2570亿美元。

在采用与IEA一致的行业口径进行测算时,本研究对2025年中国清洁能源投资的估计为 4300亿美元,低于IEA的数值。而本文中所呈现的1万亿美元清洁能源投资总规模,并非源于更激进的单项假设,而是由于纳入了更为广泛的产业和活动范围,超出了IEA报告所覆盖的口径。

电动汽车和电池

2025年,电动汽车与动力电池成为中国清洁能源经济中最大的贡献部分,约占清洁能源行业总值的44%。

其中,纯电动汽车和插电式混合动力汽车的生产在价值规模和当年增长贡献两方面均居首位,产量同比增长29%。排在其后的是电动汽车制造领域的投资,在2024年增速放缓后,2025年投资规模同比增长 18%

电池制造投资在2024年出现下滑后也迎来反弹,这主要得益于电池新技术的涌现以及国内外市场的强劲需求。电池制造投资同比增长35%,达到2770亿元人民币。

到2025年底,电动汽车在全国汽车保有量中的占比预计达到12%,高于一年前的 9%,而在五年前这一比例还不足 2%。

在新车销售中,电动汽车占比进一步提升至 48%,高于2024年的 41%,其中乘用车电动汽车渗透率已突破50%。2025年11月,电动汽车在当月汽车总销量中的占比更是首次突破 60%,并持续成为拉动整体汽车销量增长的主要动力,如下图所示。

中国燃油车与电动车产量,单位:百万辆。电动车包含纯电动车及插电式混合动力车。
中国燃油车与电动车产量,单位:百万辆。电动车包含纯电动车及插电式混合动力车。数据来源:中国汽车工业协会,经Wind金融终端汇总整理。

电动卡车市场取得突破性进展,其市场份额从2024年前九个月的8%,增长至2025年同期的23%。

政府对电动汽车的政策支持仍在持续,例如,一项最新政策提出,未来三年内充电基础设施规模将接近翻倍,以支撑电动汽车进一步普及。

在电动汽车市场中,出口增速快于国内销售增速,但整体销售仍以国内市场为主。2025年,中国电动汽车产量达到 1660万辆,同比增长 29%。其中,出口约340万辆,占总产量的 21%,但同比增速高达 86%。中国电动汽车的主要出口目的地包括西欧、中东和拉丁美洲。

电池出口额同样实现快速增长,同比上升 41%,成为推动GDP增长的第三大动力来源。电池出口主要流向西欧、北美和东南亚市场。

与许多清洁能源技术价格呈现的通缩趋势不同,2025年电动汽车的平均售价保持稳定,新车型在折扣后的平均加个甚至略有上涨。在全社会工业品出厂价格同比下降 2.6% 的背景下,这意味着电动汽车产业对名义GDP增长的贡献尤为突出。相比之下,电池价格仍延续下降趋势。

清洁能源发电

2025年,太阳能发电行业贡献了清洁能源产业总值的19%,为国民经济创造2.9万亿元人民币(约合410亿美元)的价值。

其中,新建太阳能发电厂的投资额达1.2万亿元人民币(约合1600亿美元),是清洁能源发电板块最大的驱动力;其次是太阳能技术出口额和太阳能发电本身创造的电力价值。太阳能制造业投资在2023年产能扩张浪潮结束之后持续下降,至0.5万亿元人民币(约合720亿美元),同比下降23%。

2025年,中国风电和太阳能发电新增装机容量再创新高。全国新增太阳能发电装机315吉瓦,新增风电装机119吉瓦,其中太阳能发电装机容量比全球其他地区总和还要多,而风电装机容量更是后者两倍之多。

在电力投资结构中,清洁能源占发电领域投资的90%,其中光伏一项就占到约50%。在此推动下,非化石能源发电量占全国总发电量的比重提升至42%,高于2024年的 39%。

不过,新出台的新能源定价政策以及相对谨慎的装机目标,也为这一轮增长能否持续带来了不确定性。在136号文件新政策框架下,新建风电和太阳能发电项目需要在电力市场中与既有煤电直接进行价格竞争,而在若干关键制度设计上仍处于相对不利的位置。

与此同时,电力市场本身仍处于建设和发展阶段,这也带来了投资的不确定性。

太阳能发电投资同比增长6%,但期间波动剧烈。开发商赶在新定价政策于6月生效前加速完成项目,第三季度放缓后,在年底再次赶工,以赶在“十四五”规划期内达成目标。

总体来看,太阳能产业整体投资规模与上一年大致持平:制造环节投资下降,被发电侧的增长所抵消。这在一定程度上支撑了制造产能利用率,也符合政府遏制行业“无序竞争”和价格内卷的政策目标。

2025年底,中国太阳能制造产能预计已达到每年1200吉瓦,远超2025年全球新增装机容量约650吉瓦的水平。目前,中国太阳能产业制造能力已显著超过全球市场吸收能力,激烈竞争导致行业盈利水平处于历史低位。

自2024年中期以来,中国的政策制定者已开始正面应对这一问题,包括警示“内卷式竞争”、出台监管措施,并召开行业会议向企业施压。相关举措已初见成效,2025年第三季度行业亏损有所收窄。

2025年,太阳能电池板及组件出口量再创历史新高,同比增长19%。其中,电池片和硅片出口量分别快速增长94%和52%,而电池板出口量仅增长4%。

这反映出,在关税压力上升、更多国家加快本土制造布局的背景下,全球太阳能供应链正日益趋向多元化。然而,由于平均出口价格下跌,以及出口产品结构从成品电池板向上游中间产品转移,出口名义价值反而同比下降了8%。

2025年,水能、风能和核能合计贡献了清洁能源行业总产值的约15%,为中国GDP带来约2.2万亿元人民币(3100亿美元)的增加值。

其中近三分之二(1.3万亿元人民币,1800亿美元)来自水电、风电和核电的发电价值,其余部分则来自新建发电项目的投资。

从发电量增速来看,2025年太阳能发电量增长33%,风电增长13%,水电增长3%,核电增长8%。

在发电投资领域,太阳能仍是价值规模最大的板块(如下图所示),但风电项目在2025年首次成为投资增长的最大贡献者,这是自2020年以来风电投资首次在增量上超过太阳能。

新增清洁电力装机容量价值,单位:十亿元,按年度新增统计
新增清洁电力装机容量价值,单位:十亿元,按年度新增统计。来源:能源与清洁空气研究中心(CREA)为Carbon Brief所作分析。

特别是海上风电装机投资如预期般反弹,在2024年大幅下降后,2025年实现翻倍增长,成为清洁电力投资中的一个亮点。

核电项目投资持续增长,但总体规模仍然较小,2025年投资额约为170亿元人民币。常规水电投资则延续下行趋势,同比下降7%。

储能和电网

2025年,输电和储能占清洁能源行业总产值的6%,规模达到1万亿元人民币(1400亿美元)。

其中,电网投资2025年增长了约6%,达到900亿美元。储能投资(涵盖抽水蓄能、新型储能和氢气制备)2025年达到约500亿美元。

新型储能投资同比增长幅度达50%,电解槽投资也增长了30%。受清洁能源发电快速增长推动,清洁能源输送规模预计增长13%。

中国电力储能总装机容量超过213吉瓦,其中新型储能容量超过145吉瓦,抽水蓄能容量为69吉瓦。预计2025年中国新增约66吉瓦新型储能装机容量,同比增长52%,占全球新增装机容量的40%以上。

值得注意的是,下半年新型储能装机增速加快,达43吉瓦,而上半年新增装机容量为23吉瓦。

在政策层面,136号文件规定在5月后取消了新能源配套储能的强制要求,曾一度导致新型储能市场增速放缓,但这一影响很快被“市场驱动型增长”所取代。省级电力现货市场的推进、分时电价机制以及太阳能弃光率上升,共同改善了储能项目的经济性。

到2025年底,中国前五大太阳能制造商均进入了新型储能市场,标志着行业战略的重要转变。

与此同时,抽水蓄能投资保持增长,仅2025年上半年,就有15吉瓦的项目获批,新增3吉瓦抽水蓄能投入运营。

铁路

铁路运输占清洁能源行业GDP的12%,其中客货运输收入是最主要的价值来源。行业增长主要来自铁路基础设施投资,2025年同比增长6%。

交通电气化不仅限于电动汽车,铁路客运、货运及相关投资规模也持续增长。2025年,中国高铁总里程约达5万公里,占全球高速铁路总里程的70%以上。

节能服务

2025年,节能服务投资强劲反弹。以大型节能服务公司(ESCO)的产值衡量,市场规模同比增长17%,恢复至2016-2020年期间的增长水平。

行业产值也已恢复到2021年的峰值水平,这表明在经历三年低迷后,行业已明显回暖。

行业预测显示,节能服务行业年产值有望在2030年达到1万亿元人民币,而行业经历低迷前曾预期这一目标将在2025年实现。

中国已发展成为全球最大的节能服务公司市场。其投资高度集中于建筑领域,约占业务总量的50%;工业应用占21%,而能源供应、需求侧灵活性与储能相关业务合计约占16%。

中国清洁能源布局的影响

中国持续向清洁能源制造业投入数千亿美元,代表着对全球能源持续转型的一项规模巨大的经济与金融押注。

除本文所涵盖的国内投资外,中国企业还在海外制造业领域展开了大规模投资布局,进一步加深了这一押注的全球化属性。

在十四五规划期间,清洁能源产业对中国实现经济增长目标起到了关键作用,在2023年、2024年和2025年分别贡献了约40%、25%和37%的GDP增长。

然而,长期的发展前景仍存在不确定性,尤其是在太阳能发电领域。136文件下新的可再生能源发电定价机制已导致短期投资增速放缓,并显著增加了市场不确定性;与此同时,中央政府设定的清洁电力新增装机目标也相对保守,远低于当前实际增长水平。

2025年下半年,太阳能发电和光伏制造领域的投资均出现下降,尽管从全年来看,发电投资保持了增长。这反映出在当前电力市场制度仍偏向煤电的框架下,清洁能源产业面临结构性风险。

清洁能源技术价格下降幅度显著,以致在未来核算GDP时,这些行业对实际GDP(经通胀或通缩调整后的GDP)的贡献可能会被向下修正。

尽管如此,清洁能源产业在宏观经济中的关键地位,本身就构成了维持这一轮清洁能源发展势头的强烈政策和经济动机。如果国内市场增长出现明显放缓,不仅可能削弱遏制产能过剩的努力,或将迫使更多产能转向出口,从而加剧国际贸易摩擦。

能源与清洁空气研究中心近期针对中国气候与能源领域专家开展的一项调查显示,多数专家认为,在经济和地缘政治挑战加剧的背景下,“双碳目标”及其所依托的清洁能源产业,只会变得更加重要。

地方政府和国企同样将深刻影响该行业的发展前景。在十四五期间,正是地方政府和国企的积极推进,促成了规模空前、且显著超出预期的“风光大基地”建设。

同时,各省在落实新电力市场机制和可再生能源购电合同安排方面拥有较大的自主空间,因此,将于今年发布的十五五规划,将成为决定清洁能源产业中长期走势的关键。

关于数据

本文分析尽可能采用已公布的投资与销售数据。若数据不可得,则依据实际数量(如装机容量、汽车销量等)结合单位成本或价格进行估算。

为衡量实际增长贡献,相关数据已按2022-2023年价格进行通胀或通缩调整。全部计算过程与数据来源详见附表。

估算范围涵盖清洁能源技术对上游原材料(如金属、化学品)的需求贡献。

该方法不仅能够反映清洁能源行业对整体经济活动的拉动作用,也能提现其对相关产业活动的带动作用,因此可适用于估算:若该行业未曾增长,经济增速可能降低多少。

为避免重复计算,仅计入价值链中不重叠的环节。例如,电动汽车的生产产值与储能电池的投资额均予计入,但不包含作为上述活动中间投入的、面向国内市场的电池生产价值。

同理,国内市场的太阳能电池板产值已包含在中国光伏发电装机容量的价值中,故不重复统计;然而,太阳能电池板及电池的出口价值则纳入计算。

2025年,两项关键投资指标出现明显背离:据报道,固定资产投资下降3.8%,为35年来首次下滑;而同期资本形成总额虽增速放缓至近年最低,但仍保持2%的正增长。

本研究采用资本形成总额作为投资衡量指标,因其是GDP的组成部分。但由于无法全面追踪库存变动,对清洁能源投资的估算仍基于各行业的固定资产投资数据。

本分析未专门考虑进口因素——其在清洁能源产品与服务生产中所占比例较小且持续下降。这意味着结果可能略微高估对GDP的贡献,但同时低估了对GDP增量的贡献。

例如,中国在电动汽车中对高端计算芯片仍存在较高的进口依赖。一辆典型电动汽车的芯片价值约1000美元,而该类芯片的进口依赖度高达90%,但这仍进展整车生产价值的3%以内。

在某些方面,本研究的估算可能相对保守。例如,彭博新能源财经(BNEF)估计2024年中国“能源转型投资”规模约为8000亿美元。彭博估算的行业覆盖范围与本分析大致相当,但未包含制造业产值。在相同口径下,本研究对应的投资规模约为6000亿美元。

根据中国国家统计局数据,2023年全国汽车产业总产值与销售额合计约11万亿元人民币。本分析估算,同年电动汽车销售额约为2.3万亿元,约占行业总值的20%。当时,电动汽车产量已占汽车总产量的31%,且其平均售价略高于传统燃油汽车。

The post 分析:清洁能源2025年为中国GDP增长贡献超过三分之一 appeared first on Carbon Brief.

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The 2026 budget test: Will Australia break free from fossil fuels?

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In 2026, the dangers of fossil fuel dependence have been laid bare like never before. The illegal invasion of Iran has brought pain and destruction to millions across the Middle East and triggered a global energy crisis impacting us all. Communities in the Pacific have been hit especially hard by rising fuel prices, and Australians have seen their cost-of-living woes deepen.

Such moments of crisis and upheaval can lead to positive transformation. But only when leaders act with courage and foresight.

There is no clearer statement of a government’s plans and priorities for the nation than its budget — how it plans to raise money, and what services, communities, and industries it will invest in.

As we count down the days to the 2026-27 Federal Budget, will the Albanese Government deliver a budget for our times? One that starts breaking the shackles of fossil fuels, accelerates the shift to clean energy, protects nature, and sees us work together with other countries towards a safer future for all? Or one that doubles down on coal and gas, locks in more climate chaos, and keeps us beholden to the whims of tyrants and billionaires.

Here’s what we think the moment demands, and what we’ll be looking out for when Treasurer Jim Chalmers steps up to the dispatch box on 12 May.

1. Stop fuelling the fire
2. Make big polluters pay
3. Support everyone to be part of the solution
4. Build the industries of the future
5. Build community resilience
6. Be a better neighbour
7. Protect nature

1. Stop fuelling the fire

Action Calls for a Transition Away From Fossil Fuels in Vanuatu. © Greenpeace
The community in Mele, Vanuatu sent a positive message ahead of the First Conference on Transitioning Away from Fossil Fuels. © Greenpeace

In mid-April, Pacific governments and civil society met to redouble their efforts towards a Fossil Fuel Free Pacific. Moving beyond coal, oil and gas is fundamental to limiting warming to 1.5°C — a survival line for vulnerable communities and ecosystems. And as our Head of Pacific, Shiva Gounden, explained, it is “also a path of liberation that frees us from expensive, extractive and polluting fossil fuel imports and uplifts our communities”.

Pacific countries are at the forefront of growing global momentum towards a just transition away from fossil fuels, and it is way past time for Australia to get with the program. It is no longer a question of whether fossil fuel extraction will end, but whether that end will be appropriately managed and see communities supported through the transition, or whether it will be chaotic and disruptive.

So will this budget support the transition away from fossil fuels, or will it continue to prop up coal and gas?

When it comes to sensible moves the government can make right now, one stands out as a genuine low hanging fruit. Mining companies get a full rebate of the excise (or tax) that the rest of us pay on diesel fuel. This lowers their operating costs and acts as a large, ongoing subsidy on fossil fuel production — to the tune of $11 billion a year!

Greenpeace has long called for coal and gas companies to be removed from this outdated scheme, and for the billions in savings to be used to support the clean energy transition and to assist communities with adapting to the impacts of climate change. Will we see the government finally make this long overdue change, or will it once again cave to the fossil fuel lobby?

2. Make big polluters pay

Activists Disrupt Major Gas Conference in Sydney. © Greenpeace
Greenpeace Australia Pacific activists disrupted the Australian Domestic Gas Outlook conference in Sydney with the message ‘Gas execs profit, we pay the price’. © Greenpeace

While our communities continue to suffer the escalating costs of climate-fuelled disasters, our Government continues to support a massive expansion of Australia’s export gas industry. Gas is a dangerous fossil fuel, with every tonne of Australian gas adding to the global heating that endangers us all.

Moreover, companies like Santos and Woodside pay very little tax for the privilege of digging up and selling Australians’ natural endowment of fossil gas. Remarkably, the Government currently raises more tax from beer than from the Petroleum Resource Rent Tax (PRRT) — the main tax on gas profits.

Momentum has been building to replace or supplement the PRRT with a 25% tax on gas exports. This could raise up to $17 billion a year — funds that, like savings from removing the diesel tax rebate for coal and gas companies, could be spent on supporting the clean energy transition and assisting communities with adapting to worsening fires, floods, heatwaves and other impacts of climate change.

As politicians arrive in Canberra for budget week, they will be confronted by billboards calling for a fair tax on gas exports. The push now has the support of dozens of organisations and a growing number of politicians. Let’s hope the Treasurer seizes this rare window for reform.

3. Support everyone to be part of the solution

As the price of petrol and diesel rises, electric vehicles (EVs) are helping people cut fuel use and save money. However, while EV sales have jumped since the invasion of Iran sent fuel prices rising, they still only make up a fraction of total new car sales. This budget should help more Australians switch to electric vehicles and, even more importantly, enable more Australians to get around by bike, on foot, and on public transport. This means maintaining the EV discount, investing in public and active transport, and removing tax breaks for fuel-hungry utes and vans.

Millions of Australians already enjoy the cost-saving benefits of rooftop solar, batteries, and getting off gas. This budget should enable more households, and in particular those on lower incomes, to access these benefits. This means maintaining the Cheaper Home Batteries Program, and building on the Household Energy Upgrades Fund.

4. Build the industries of the future

Protest of Woodside and Drill Rig Valaris at Scarborough Gas Field in Western Australia. © Greenpeace / Jimmy Emms
Crew aboard Greenpeace Australia Pacific’s campaigning vessel the Oceania conducted a peaceful banner protest at the site of the Valaris DPS-1, the drill rig commissioned to build Woodside’s destructive Burrup Hub. © Greenpeace / Jimmy Emms

If we’re to transition away from fossil fuels, we need to be building the clean industries of the future.

No state is more pivotal to Australia’s energy and industrial transformation than Western Australia. The state has unrivaled potential for renewable energy development and for replacing fossil fuel exports with clean exports like green iron. Such industries offer Western Australia the promise of a vibrant economic future, and for Australia to play an outsized positive role in the world’s efforts to reduce emissions.

However, realising this potential will require focussed support from the Federal Government. Among other measures, Greenpeace has recommended establishing the Australasian Green Iron Corporation as a joint venture between the Australian and Western Australian governments, a key trading partner, a major iron ore miner and steel makers. This would unite these central players around the complex task of building a large-scale green iron industry, and unleash Western Australia’s potential as a green industrial powerhouse.

5. Build community resilience

Believe it or not, our Government continues to spend far more on subsidising fossil fuel production — and on clearing up after climate-fuelled disasters — than it does on helping communities and industries reduce disaster costs through practical, proven methods for building their resilience.

Last year, the Government estimated that the cost of recovery from disasters like the devastating 2022 east coast floods on 2019-20 fires will rise to $13.5 billion. For contrast, the Government’s Disaster Ready Fund – the main national source of funding for disaster resilience – invests just $200 million a year in grants to support disaster preparedness and resilience building. This is despite the Government’s own National Emergency Management Agency (NEMA) estimating that for every dollar spent on disaster risk reduction, there is a $9.60 return on investment.

By redirecting funds currently spent on subsidising fossil fuel production, the Government can both stop incentivising climate destruction in the first place, and ensure that Australian communities and industries are better protected from worsening climate extremes.

No communities have more to lose from climate damage, or carry more knowledge of practical solutions, than Aboriginal and Torres Strait Islander peoples. The budget should include a dedicated First Nations climate adaptation fund, ensuring First Nations communities can develop solutions on their own terms, and access the support they need with adapting to extreme heat, coastal erosion and other escalating challenges.

6. Be a better neighbour

The global response to climate change depends on the adequate flow of support from developed economies like Australia to lower income nations with shifting to clean energy, adapting to the impacts of climate change, and addressing loss and damage.

Such support is vital to building trust and cooperation, reducing global emissions, and supporting regional and global security by enabling countries to transition away from fossil fuels and build greater resilience.

Despite its central leadership role in this year’s global climate negotiations, our Government is yet to announce its contribution to international climate finance for 2025-2030. Greenpeace recommends a commitment of $11 billion for this five year period, which is aligned with the global goal under the Paris Agreement to triple international climate finance from current levels.
This new commitment should include additional funding to address loss and damage from climate change and a substantial contribution to the Pacific Resilience Facility, ensuring support is accessible to countries and communities that need it most. It should also see Australia get firmly behind the vision of a Fossil Fuel Free Pacific.

7. Protect nature

Rainforest in Tasmania. © Markus Mauthe / Greenpeace
Rainforest of north west Tasmania in the Takayna (Tarkine) region. © Markus Mauthe / Greenpeace

There is no safe planet without protection of the ecosystems and biodiversity that sustain us and regulate our climate.

Last year the Parliament passed important and long overdue reforms to our national environment laws to ensure better protection for our forests and other critical ecosystems. However, the Government will need to provide sufficient funding to ensure the effective implementation of these reforms.

Greenpeace has recommended $500 million over four years to establish the National Environment Agency — the body responsible for enforcing and monitoring the new laws — and a further $50 million to Environment Information Australia for providing critical information and tools.

Further resourcing will also be required to fulfil the crucial goal of fully protecting 30% of Australian land and seas by 2030. This should include $1 billion towards ending deforestation by enabling farmers and loggers to retool away from destructive practices, $2 billion a year for restoring degraded lands, $5 billion for purchasing and creating new protected areas, and $200 million for expanding domestic and international marine protected areas.

Conclusion

This is not the first time that conflict overseas has triggered an energy crisis, or that a budget has been preceded by a summer of extreme weather disasters, highlighting the urgent need to phase out fossil fuels. What’s different in 2026 is the availability of solutions. Renewable energy is now cheaper and more accessible than ever before. Global momentum is firmly behind the transition away from fossil fuels. The Albanese Government, with its overwhelming majority, has the chance to set our nation up for the future, or keep us stranded in the past. Let’s hope it makes some smart choices.

The 2026 budget test: Will Australia break free from fossil fuels?

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What fossil fuels really cost us in a world at war

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Anne Jellema is Executive Director of 350.org.

The war on Iran and Lebanon is a deeply unjust and devastating conflict, killing civilians at home, destroying lives, and at the same time sending shockwaves through the global economy. We, at 350.org, have calculated, drawing on price forecasts from the International Monetary Fund (IMF) and Goldman Sachs, just how much that volatility is costing us. 

Even under the IMF’s baseline scenario – a de facto “best case” scenario with a near-term end to the war and related supply chain disruptions – oil and gas price spikes are projected to cost households and businesses globally more than $600 billion by the end of the year. Under the IMF’s “adverse scenario”, with prolonged conflict and sustained price pressures, we estimate those additional costs could exceed $1 trillion, even after accounting for reduced demand.

Which is why we urgently need a power shift. Governments are under growing pressure to respond to rising fuel and food costs and deepening energy poverty. And it’s becoming clearer to both voters and elected officials that fossil dependence is not only expensive and risky, but unnecessary. 

People who can are voting with their wallets: sales of solar panels and electric vehicles are increasing sharply in many countries. But the working people who have nothing to spare, ironically, are the ones stuck with using oil and gas that is either exorbitantly expensive or simply impossible to get.

Drain on households and economies

In India, street food vendors can’t get cooking gas and in the Philippines, fishermen can’t afford to take their boats to sea. A quarter of British people say that rising energy tariffs will leave them completely unable to pay their bills. This is the moment for a global push to bring abundant and affordable clean energy to all.

In April, we released Out of Pocket, our new research report on how fossil fuels are draining households and economies. We were surprised by the scale of what we found. For decades, governments have reassured people that energy price spikes are unfortunate but unavoidable – the result of distant conflicts, market forces or geopolitical shocks beyond anyone’s control. But the numbers tell a different story. 

    What we are living through today is not an energy crisis. It is a fossil fuel crisis. In just the first 50 days of the Middle East conflict, soaring oil and gas prices have siphoned an estimated $158 billion–$166 billion from households and businesses worldwide. That is money extracted directly from people’s pockets and transferred, almost instantly, into fossil fuel company balance sheets. And this figure only captures the immediate impact of price spikes, not the permanent economic drain of fossil dependence. Fossil fuels don’t just cost us once, they cost us over and over again.

    First, through our bills. Every time there is a war, an embargo or a supply disruption, fossil fuel prices surge. For ordinary people, this means higher costs for energy, transport and food. Many Global South countries have little or no fiscal space to buffer the shock; instead, workers and families pay the price.

    Second, through our taxes. Governments around the world continue to pour vast sums of public money into fossil fuel subsidies. These are often justified as a way to protect the most vulnerable at the petrol pump or in their homes. But in reality, the benefits are overwhelmingly captured by wealthier households and corporations. The poorest 20% receive just a fraction of this support, while public finances are drained.

    Third, through climate impacts. New research across more than 24,000 global locations gives a granular account of the true costs of extreme heat, sea level rise and falling agricultural yields. Using this data to update IMF modelling of the social cost of carbon, we found that fossil fuel impacts on health and livelihoods amount to over $9 trillion a year. This is the biggest subsidy of all, because these massive and mounting costs are not charged to Big Oil – they are paid for by governments and households, with the poorest shouldering the lion’s share. 

    Massive transfer of wealth to fossil fuel industry

    Adding up direct subsidies, tax breaks and the unpaid bill for climate damages, the total transfer of wealth from the public to the fossil fuel industry amounts to $12 trillion even in a “normal” year without a global oil shock. That’s more than 50% higher than the IMF has previously estimated, and equivalent to a staggering $23 million a minute.

    The fossil fuel industry has become extraordinarily adept at profiting from instability. When conflict drives up prices, companies do not lose, they gain. In the current crisis, oil producers and commodity traders are on track to secure tens of billions of dollars in additional windfall profits, even as households face rising bills and governments struggle to manage the fallout.

    Fossil fuel crisis offers chance to speed up energy transition, ministers say

    This growing disconnect is impossible to ignore. Investors are advised to buy into fossil fuel firms precisely because of their ability to generate profits in times of crisis. Meanwhile, ordinary people are told to tighten their belts.

    In 2026, unlike during the oil shocks of the 1970s, clean energy is no longer a distant alternative. Now, even more than when gas prices spiked due to Russia’s invasion of Ukraine in 2022, renewables are often the cheapest option available. Solar and wind can be deployed quickly, at scale, and without the volatility that defines fossil fuel markets.

    How to transition from dirty to clean energy

    The solutions are clear. Governments must implement permanent windfall taxes on fossil fuel companies to ensure that extraordinary profits generated during crises are redirected to support households. These revenues can be used to reduce energy bills, invest in public services, and accelerate the rollout of clean energy.

    Second, we must shift subsidies away from fossil fuels and towards renewable solutions, particularly those that can be deployed quickly and equitably, such as rooftop and community solar. This is not just about cutting emissions. It is about building a more stable, fair and resilient energy system.

    Finally, we need binding plans to phase out fossil fuels altogether, replacing them with homegrown renewable energy that can shield economies from future shocks. Because what the current crisis has made clear is this: as long as we remain dependent on fossil fuels, we remain vulnerable – to conflict, to price volatility and to the escalating impacts of climate change.

    The true price of fossil fuels is no longer hidden. It is visible in rising bills, strained public finances and communities pushed to the brink. And it is being paid, every day, by ordinary people around the world.

    It’s time for the great power shift

    Full details on the methodology used for this report are available here.

    The Great Power Shift is a new campaign by 350.org global campaign to pressure governments to bring down energy bills for good by ending fossil fuel dependence and investing in clean, affordable energy for all

    Logo of 350.org campaign on “The Great Power Shift”

    Logo of 350.org campaign on “The Great Power Shift”

    The post What fossil fuels really cost us in a world at war appeared first on Climate Home News.

    What fossil fuels really cost us in a world at war

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    Traditional models still ‘outperform AI’ for extreme weather forecasts

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    Computer models that use artificial intelligence (AI) cannot forecast record-breaking weather as well as traditional climate models, according to a new study.

    It is well established that AI climate models have surpassed traditional, physics-based climate models for some aspects of weather forecasting.

    However, new research published in Science Advances finds that AI models still “underperform” in forecasting record-breaking extreme weather events.

    The authors tested how well both AI and traditional weather models could simulate thousands of record-breaking hot, cold and windy events that were recorded in 2018 and 2020.

    They find that AI models underestimate both the frequency and intensity of record-breaking events.

    A study author tells Carbon Brief that the analysis is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    AI weather forecasts

    Extreme weather events, such as floods, heatwaves and storms, drive hundreds of billions of dollars in damages every year through the destruction of cropland, impacts on infrastructure and the loss of human life.

    Many governments have developed early warning systems to prepare the general public and mobilise disaster response teams for imminent extreme weather events. These systems have been shown to minimise damages and save lives.

    For decades, scientists have used numerical weather prediction models to simulate the weather days, or weeks, in advance.

    These models rely on a series of complex equations that reproduce processes in the atmosphere and ocean. The equations are rooted in fundamental laws of physics, based on decades of research by climate scientists. As a result, these models are referred to as “physics-based” models.

    However, AI-based climate models are gaining popularity as an alternative for weather forecasting.

    Instead of using physics, these models use a statistical approach. Scientists present AI models with a large batch of historical weather data, known as training data, which teaches the model to recognise patterns and make predictions.

    To produce a new forecast, the AI model draws on this bank of knowledge and follows the patterns that it knows.

    There are many advantages to AI weather forecasts. For example, they use less computing power than physics-based models, because they do not have to run thousands of mathematical equations.

    Furthermore, many AI models have been found to perform better than traditional physics-based models at weather forecasts.

    However, these models also have drawbacks.

    Study author Prof Sebastian Engelke, a professor at the research institute for statistics and information science at the University of Geneva, tells Carbon Brief that AI models “depend strongly on the training data” and are “relatively constrained to the range of this dataset”.

    In other words, AI models struggle to simulate brand new weather patterns, instead tending forecast events of a similar strength to those seen before. As a result, it is unclear whether AI models can simulate unprecedented, record-breaking extreme events that, by definition, have never been seen before.

    Record-breaking extremes

    Extreme weather events are becoming more intense and frequent as the climate warms. Record-shattering extremes – those that break existing records by large margins – are also becoming more regular.

    For example, during a 2021 heatwave in north-western US and Canada, local temperature records were broken by up to 5C. According to one study, the heatwave would have been “impossible” without human-caused climate change.

    The new study explores how accurately AI and physics-based models can forecast such record-breaking extremes.

    First, the authors identified every heat, cold and wind event in 2018 and 2020 that broke a record previously set between 1979 and 2017. (They chose these years due to data availability.) The authors use ERA5 reanalysis data to identify these records.

    This produced a large sample size of record-breaking events. For the year 2020, the authors identified around 160,000 heat, 33,000 cold and 53,000 wind records, spread across different seasons and world regions.

    For their traditional, physics-based model, the authors selected the High RESolution forecast model from the Integrated Forecasting System of the European Centre for Medium-­Range Weather Forecasts. This is “widely considered as the leading physics-­based numerical weather prediction model”, according to the paper.

    They also selected three “leading” AI weather models – the GraphCast model from Google Deepmind, Pangu-­Weather developed by Huawei Cloud and the Fuxi model, developed by a team from Shanghai.

    The authors then assessed how accurately each model could forecast the extremes observed in the year 2020.

    Dr Zhongwei Zhang is the lead author on the study and a researcher at Karlsruhe Institute of Technology. He tells Carbon Brief that many AI weather forecast models were built for “general weather conditions”, as they use all historical weather data to train the models. Meanwhile, forecasting extremes is considered a “secondary task” by the models.

    The authors explored a range of different “lead times” – in other words, how far into the future the model is forecasting. For example, a lead time of two days could mean the model uses the weather conditions at midnight on 1 January to simulate weather conditions at midnight on 3 January.

    The plot below shows how accurately the models forecasted all extreme events (left) and heat extremes (right) under different lead times. This is measured using “root mean square error” – a metric of how accurate a model is, where a lower value indicates lower error and higher accuracy.

    The chart on the left shows how two of the AI models (blue and green) performed better than the physics-based model (black) when forecasting all weather across the year 2020.

    However, the chart on the right illustrates how the physics-based model (black) performed better than all three AI models (blue, red and green) when it came to forecasting heat extremes.

    Accuracy of the AI models
    Accuracy of the AI models (blue, red and green) and the physics-based model (black) at forecasting all weather over 2020 (left) and heat extremes (right) over a range of lead times. This is measured using “root mean square error” (RMSE) – a metric of how accurate a model is, where a lower value indicates lower error and higher accuracy. Source: Zhang et al (2026).

    The authors note that the performance gap between AI and physics-based models is widest for lower lead times, indicating that AI models have greater difficulty making predictions in the near future.

    They find similar results for cold and wind records.

    In addition, the authors find that AI models generally “underpredict” temperature during heat records and “overpredict” during cold records.

    The study finds that the larger the margin that the record is broken by, the less well the AI model predicts the intensity of the event.

    ‘Warning shot’

    Study author Prof Erich Fischer is a climate scientist at ETH Zurich and a Carbon Brief contributing editor. He tells Carbon Brief that the result is “not unexpected”.

    He adds that the analysis is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    The analysis, he continues, is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    AI models are likely to continue to improve, but scientists should “not yet” fully replace traditional forecasting models with AI ones, according to Fischer.

    He explains that accurate forecasts are “most needed” in the runup to potential record-breaking extremes, because they are the trigger for early warning systems that help minimise damages caused by extreme weather.

    Leonardo Olivetti is a PhD student at Uppsala University, who has published work on AI weather forecasting and was not involved in the study.

    He tells Carbon Brief that “many other studies” have identified issues with using AI models for “extremes”, but this paper is novel for its specific focus on extremes.

    Olivetti notes that AI models are already used alongside physics-based models at “some of the major weather forecasting centres around the world”. However, the study results suggest “caution against relying too heavily on these [AI] models”, he says.

    Prof Martin Schultz, a professor in computational earth system science at the University of Cologne who was not involved in the study, tells Carbon Brief that the results of the analysis are “very interesting, but not too surprising”.

    He adds that the study “justifies the continued use of classical numerical weather models in operational forecasts, in spite of their tremendous computational costs”.

    Advances in forecasting

    The field of AI weather forecasting is evolving rapidly.

    Olivetti notes that the three AI models tested in the study are an “older generation” of AI models. In the last two years, newer “probabilistic” forecast models have emerged that “claim to better capture extremes”, he explains.

    The three AI models used in the analysis are “deterministic”, meaning that they only simulate one possible future outcome.

    In contrast, study author Engelke tells Carbon Brief that probabilistic models “create several possible future states of the weather” and are therefore more likely to capture record-breaking extremes.

    Engelke says it is “important” to evaluate the newer generation of models for their ability to forecast weather extremes.

    He adds that this paper has set out a “protocol” for testing the ability of AI models to predict unprecedented extreme events, which he hopes other researchers will go on to use.

    The study says that another “promising direction” for future research is to develop models that combine aspects of traditional, physics-based weather forecasts with AI models.

    Engelke says this approach would be “best of both worlds”, as it would combine the ability of physics-based models to simulate record-breaking weather with the computational efficiency of AI models.

    Dr Kyle Hilburn, a research scientist at Colorado State University, notes that the study does not address extreme rainfall, which he says “presents challenges for both modelling and observing”. This, he says, is an “important” area for future research.

    The post Traditional models still ‘outperform AI’ for extreme weather forecasts appeared first on Carbon Brief.

    Traditional models still ‘outperform AI’ for extreme weather forecasts

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