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机译:如何通过省级努力实现中国的CO_2减排目标? - 基于广义Divisia指数和动态方案模拟的分析
Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;
Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China|Shanghai Jiao Tong Univ Sch Int & Publ Affairs Shanghai 200030 Peoples R China|Shanghai Jiao Tong Univ China Inst Urban Governance Shanghai 200030 Peoples R China|Shanghai Inst Pollut Control & Ecol Secur Shanghai 200092 Peoples R China;
Shanghai Univ Finance & Econ Sch Urban & Reg Sci Inst Finance & Econ Res Shanghai 200433 Peoples R China;
Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;
Nanjing Normal Univ Sch Business Nanjing 210023 Peoples R China;
Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;
China Univ Petr Sch Econ & Management Qingdao 266580 Peoples R China;
CO2 emission reduction targets; Driving forces; Provincial disparities; Generalized Divisia index; Dynamic scenario simulation; Governance;
机译:“如何通过省级努力实现中国的CO_2减排目标的勘误措施? - 基于广义Divisia指数和动态方案模拟的分析[更新维持能源Rev 127(2021)109892]
机译:中国区域火力发电量和CO_2排放量分析:基于广义Divisia指数的分解
机译:中国区域火力发电和CO_2排放分析:基于广义Divisia指数的分解
机译:CO_2减排政策评估:中国的排放情景
机译:加利福尼亚交通运输部门的温室气体排放量大幅减少:到2050年,车队和能源供应变化的动态将使1990年的排放量减少80%。
机译:中国运输石油产品消费和温室气体减排潜力:基于电动汽车的情景分析
机译:减排目标和外部成本对中国省级天然气分布的影响