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Clean Energy Trade Cooperation between USA and China and its Economic Impacts

机译:美国与中国之间的清洁能源贸易合作及其经济影响

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We study bilateral trade cooperation between the USA and China, along with its economic impacts. Trade Intensity Indices (TII) and Revealed Comparative Advantage indices (RCA) are investigated in six different clean energy categories including natural gas, solar, wind, biomass, hydro, and nuclear energy between 1992 and 2017. Data from TII and RCA indicate that clean energy trade cooperation between the USA and China needs to be strengthened. A Vector Autoregressive model (VAR) is established with one exogenous variable (oil price) and five endogenous variables including US TIIu, Chinese TIIc, US Gross Domestic Product (GDP), Chinese GDP and CO2 emissions. After verifying the model stationarity, impulse responses are obtained by applying positive impacts from TIIu and TIIc. The overall CO2 emissions will be reduced, and US GDP will increase. However, Chinese GDP will decrease as China is at early stages of clean energy development. To overcome the obstacles in the bilateral clean energy trade, both countries should coordinate their trade measures and devise effective policies beneficial to both countries.
机译:我们研究美国和中国之间的双边贸易合作,以及其经济影响。贸易强度指数(TII)和透露比较优势指数(RCA)在1992年至2017年间包括天然气,太阳能,风,生物量,水电和核能,包括天然气,太阳能,风,生物量,水电和核能。来自TII和RCA的数据表明清洁美国和中国之间的能源贸易合作需要加强。矢量自动增加模型(VAR)是以一种外源性变量(油价)和五个内源性变量建立,包括美国TII,中国人,美国国内生产总值(GDP),中国GDP和二氧化碳排放。在验证模型的实体性之后,通过施加来自TIIU和TIIC的积极影响来获得脉冲响应。整体二氧化碳排放将减少,美国GDP将增加。然而,随着中国处于清洁能源发展的早期阶段,中国GDP将减少。为了克服双边清洁能源贸易中的障碍,两国都应协调其贸易措施,并设计对两国有利的有效政策。

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