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中国六成指标已接近或实现二○三○年目标
Ke Ji Ri Bao· 2025-09-28 01:15
9月27日,在第80届联合国大会期间,《地球大数据支撑可持续发展目标报告——SDGs十周年特别 报告》(以下简称"报告")在联合国官网正式发布。 报告由可持续发展大数据国际研究中心(SDG中心)牵头撰写,对过去十年(2015—2024年)全球 7个与中国17个可持续发展目标(SDGs)进行了定量分析与系统评估。 2015年,联合国正式通过《2030年可持续发展议程》(以下简称"2030年议程"),确立了17个 SDGs。"基于多源数据的综合分析,我们发现,全球可持续发展进展缓慢,有些指标严重偏离预期轨 道。"SDG中心主任、中国科学院院士郭华东介绍,在地球大数据评估的59个SDGs指标中,仅 16.9%(10个指标)有望按期实现目标,27个指标进展缓慢、5个指标停滞、17个指标出现倒退。 报告显示,中国在落实SDGs方面取得较好进展。截至2024年,全国233个指标中已有141个 (60.5%)接近或实现2030年目标。 研究发现,中国在新能源开发和公共交通等领域的进展领先全球。截至2024年,中国风力发电机组 安装数量全球第一,占全球风力发电机组总数的39%,当年新增装机容量占全球新增容量的68.21%;城 ...
2025年服贸会“全球绿色经济发展论坛”热议SDGs实现路径
Zhong Guo Jing Ji Wang· 2025-09-15 05:57
Group 1 - The "Global Green Economy Development Forum" was held on September 12, 2025, with over 300 participants including officials from the UN, EU, and diplomats from 10 countries, focusing on green economy innovation and global cooperation to achieve the UN's 2030 Sustainable Development Goals (SDGs) [1][2] - The forum discussed four main topics: "SDGs and Green Economy," "Green Trade and Carbon Footprint," "Green Innovation and Industrial Transformation," and "Zero Carbon Park Construction and Development," aiming to build consensus on green innovation and cooperation [1] - The establishment of the "UN Sustainable Development Goals Green Economy Solutions Ecological Partnership Alliance" was announced, along with the release of the "2025 Green Development Report" and four other research outcomes to guide global green economic development [3] Group 2 - The UN's 2030 Sustainable Development Agenda has only five years left, urging immediate action from the international community, with China recognized for its achievements in green economy and AI [2] - The Beijing government aims to create an international green economy benchmark city, focusing on green technology, industry cultivation, industrial transformation, and a favorable policy environment [2] - The importance of ESG principles and frameworks was emphasized, with a call for a scientific, Chinese-characteristic, and internationally aligned ESG evaluation system to promote collaborative governance [2]
气候变化威胁能源安全,如何应对和评估
Di Yi Cai Jing· 2025-08-09 08:34
Group 1 - Extreme weather poses systemic threats to energy systems, including reduced wind power efficiency due to weakened wind speeds and increased power supply tensions from high temperatures and droughts [1] - Climate change is a global challenge affecting energy security, social stability, and risk distribution, particularly impacting underdeveloped regions [1] - The IPCC report indicates that human activities have led to a 1.2°C increase in global average temperatures since pre-industrial times, with a high probability of exceeding the 1.5°C threshold in the next five years [1] Group 2 - Energy systems need to shift from "passive recovery" to "active transformation" through technological innovation, such as floating solar power stations that enhance land use and mitigate extreme temperature impacts on power generation [2] - A model shows that for every unit increase in the extreme climate risk index, total power generation significantly decreases, with wind power being the most affected by wind speed changes [2] - Four strategies proposed to address extreme climate impacts include establishing a climate risk monitoring and early warning system, optimizing diversified energy supply, creating emergency mechanisms for electricity markets under extreme weather, and innovating climate financial products [2] Group 3 - The existing global development indicator system, including the Human Development Index (HDI) and Sustainable Development Goals (SDGs), has significant limitations, such as contradictions between goals and data deficiencies [3] - The new Comprehensive Development Goals (CDGs) framework emphasizes a "bottom-up, practice-driven" approach, focusing on human development and social progress across five dimensions: innovation, coordination, green, openness, and sharing [3] - The CDGs report suggests incorporating natural capital into core indicators, enhancing spatial dimension analysis using satellite data, and utilizing AI technology for future trend predictions [3]
第四期全球名校“Z世代”领袖连线活动举办 中外青年共话AI技术应用
Huan Qiu Wang Zi Xun· 2025-07-02 03:25
Group 1: Event Overview - The fourth global elite "Generation Z" leaders online event was successfully held, gathering over 40 youth representatives from 15 renowned universities, including Shanghai Jiao Tong University and the University of California, Berkeley, to discuss "AI technology and future applications" [1][4] Group 2: AI Technology Insights - Yang Jian, a former core researcher from Alibaba's Tongyi team, highlighted the breakthrough in code intelligence technology, emphasizing that AI models have democratized programming, allowing code generation through natural language descriptions [4] - Echo Zhang from University College London stated that the core value of AIGC (AI-generated content) lies in "co-creation between humans and algorithms," illustrating its impact on personalized education and medical diagnostics with examples like Google DeepMind's "MedGemma" model [5] - Erum Yasmeen from Shanghai Jiao Tong University referenced a World Economic Forum statistic predicting that 85 million jobs will be displaced by AI, while new jobs will be created, stressing the importance of adapting faster than technology [9][10] Group 3: Educational Technology Evolution - Hua Xiaowen from Shanghai Jiao Tong University reviewed the evolution of educational technology, advocating that technology should enhance learners' individual expression and multiple intelligences rather than replace teachers [7] - The discussion included the introduction of AI courses in countries like Finland, encouraging students to engage with global issues such as sustainable development goals [7] Group 4: Data Analysis and AI Development - Duan Yuqing from the University of Auckland shared a thought-provoking perspective that "dirty data" can sometimes be more valuable than "clean data" for training AI models, particularly in financial fraud detection [12]