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气候转型风险冲击下我国商业银行气候脆弱性研究——基于压力测试模型的实证分析
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作者 蔡源 崔婕 《武汉金融》 北大核心 2023年第10期3-12,共10页
本文基于自下而上的压力测试方法,纳入温度场景和气候转型冲击因子,将行业层面的碳排放量与商业银行贷款信息联系起来,预测了2020—2060年我国商业银行的气候脆弱性程度。结果表明:未来全球升温目标控制得越严格,商业银行面临的气候转... 本文基于自下而上的压力测试方法,纳入温度场景和气候转型冲击因子,将行业层面的碳排放量与商业银行贷款信息联系起来,预测了2020—2060年我国商业银行的气候脆弱性程度。结果表明:未来全球升温目标控制得越严格,商业银行面临的气候转型风险冲击就越大;能源市场份额冲击造成的商业银行气候脆弱性指数在量级上较大,但碳价冲击下商业银行面临的潜在气候风险更大;整个样本区间内,转型冲击对国有银行的影响最为显著,随着“双碳”政策的实施,股份制银行和城商行的气候脆弱性指数要远超国有银行;商业银行气候脆弱性程度占其总资本(或核心一级资本)比重较高。 展开更多
关键词 气候转型风险 商业银行 气候脆弱性指数 压力测试 金融稳定
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Application of Livelihood Vulnerability Index to Assess Risks from Flood Vulnerability and Climate VariabilitymA Case Study in the Mekong Delta of Vietnam 被引量:1
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作者 Nguyen Duy Can Vo Hong Tu Chu Thai Hoanh 《Journal of Environmental Science and Engineering(A)》 2013年第8期476-486,共11页
An Giang province in the Mekong Delta is the most vulnerable province the impact of flooding and climate variability. Thousand of households are at risk due to severe annual floods. This study applied the LVI (liveli... An Giang province in the Mekong Delta is the most vulnerable province the impact of flooding and climate variability. Thousand of households are at risk due to severe annual floods. This study applied the LVI (livelihood vulnerability index) to estimate flood vulnerability of Phu Huu and Ta Danh villages in An Giang province. Data on socio-demographics, livelihoods, health, social networks, physical, financial and natural resources, natural disasters and climate variability were collected from a survey of 120 households in each village. From these data the LVI of each village was calculated. Results show that the overall LV1 of Phu Huu village, located in the early flooded zone, is higher than that of Ta Danh village, located in the late flooded zone. The analysis also indicated that this practical method can be applied for other purposes such as to monitor vulnerability, evaluate development programs or policy effectiveness by incorporating with scenario comparison. 展开更多
关键词 An Giang province Mekong Delta livelihood vulnerability index flood and climate variability.
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