To meet the targets laid down in the Paris agreement and in the European Union's climate policy documents, road vehicle fleets will have to undergo a massive energy transition in the decades ahead. New vehicles acquired need to be distinctly superior to the old vehicles scrapped, in terms of their energy efficiency and/or carbon intensity. To keep track of the process of vehicle fleet renewal and assess its time scale and potential for energy conservation and greenhouse gas mitigation, stock-flow modeling is a useful tool. The bottom-up stock-flow cohort model ensures coherence between the stock in any given year and the annual flows of scrapping, deregistration, new vehicle acquisitions, and second-hand vehicle import and export. It can be constructed from a few years' segmented data on the vehicle stocks and their annual mileage. As evidenced by our stock-flow model for Norwegian registered vehicles, it may take 5-25 years, in some cases even longer, before innovations affecting the flow of new vehicles have penetrated similarly into the stock. This energy transition time lag would tend to increase with the speed of innovation and with the target level of penetration, but decrease with the velocity of vehicle turnover.
机构:
School of Business Administration, Ningbo University of Finance and Economics, ChinaSchool of Business Administration, Ningbo University of Finance and Economics, China
Mahmood, Nasir
Zhao, Yingjun
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School of Business Administration, Ningbo University of Finance and Economics, ChinaSchool of Business Administration, Ningbo University of Finance and Economics, China
Zhao, Yingjun
Lou, Qinqin
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School of Business Administration, Ningbo University of Finance and Economics, ChinaSchool of Business Administration, Ningbo University of Finance and Economics, China
Lou, Qinqin
Geng, Jinzhou
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School of Business Administration, Ningbo University of Finance and Economics, ChinaSchool of Business Administration, Ningbo University of Finance and Economics, China
Geng, Jinzhou
Technological Forecasting and Social Change,
2022,
183
机构:
Jiangxi Normal Univ, Coll City Construct, Nanchang 330022, Peoples R ChinaJiangxi Normal Univ, Coll City Construct, Nanchang 330022, Peoples R China
Feng, Yuan
Li, Ying
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Jiangxi Normal Univ, Coll City Construct, Nanchang 330022, Peoples R ChinaJiangxi Normal Univ, Coll City Construct, Nanchang 330022, Peoples R China
Li, Ying
Nie, Changfei
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机构:
Nanchang Univ, Sch Econ & Management, Nanchang 330031, Peoples R ChinaJiangxi Normal Univ, Coll City Construct, Nanchang 330022, Peoples R China
Nie, Changfei
Chen, Zhi
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机构:
Hubei Univ Econ, Sch Econ & Trade, Wuhan 430205, Peoples R ChinaJiangxi Normal Univ, Coll City Construct, Nanchang 330022, Peoples R China