Impact of the connected & autonomous vehicle industry on the Korean national economy using input-output analysis

Wang Ki Jun, Myung Ho An and Jae Young Choi

Technological Forecasting and Social Change, 2022, vol. 178, issue C

Abstract: This study estimates Korea's connected and autonomous vehicle (CAV) industry's economic impact using a multiple-stage input-output (I-O) analysis. To overcome the rough and arbitrary industry matching process of traditional I-O analysis, we designed a modified I-O analysis that can estimate the Korean CAV industry's economic impact with a sophisticated and reasonable range of values by introducing a new, elaborate mapping stage. We estimated the economic impacts of the CAV industry in various ways through the evolution of CAV technology (autonomous vehicle and automated vehicle). The results show that full adoption and commercialization of CAV will transform the current automotive industry, which tends to be a final demand manufacturing industry, into an intermediate-demand manufacturing industry. These results empirically support previous studies demonstrating that CAV can be combined with mobility as a service (MaaS).

Keywords: Input-output analysis; Economic impact analysis; CAV (connected and autonomous vehicle), Automated vehicle; Autonomous vehicle; MaaS (mobility as a service) (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:178:y:2022:i:c:s0040162522001044

DOI: 10.1016/j.techfore.2022.121572

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