2017
DOI: 10.3386/w23678
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Local Protectionism, Market Structure, and Social Welfare: China's Automobile Market

Abstract: provided excellent research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 26 publications
(35 citation statements)
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“…Compared with consumer subsidies, investment in charging infrastructure is about four times as cost-effective in promoting EV sales. Both Li et al (2017) and Springel (2019) show the same qualitative finding but the advantage of charging infrastructure investment in cost-effectiveness is twice as strong in China as found in those studies. Third and perhaps most striking, the policy which merely grants EVs a distinctive looking license plate in green is very effective, increasing EV sales by 18%.…”
Section: Introductionsupporting
confidence: 52%
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“…Compared with consumer subsidies, investment in charging infrastructure is about four times as cost-effective in promoting EV sales. Both Li et al (2017) and Springel (2019) show the same qualitative finding but the advantage of charging infrastructure investment in cost-effectiveness is twice as strong in China as found in those studies. Third and perhaps most striking, the policy which merely grants EVs a distinctive looking license plate in green is very effective, increasing EV sales by 18%.…”
Section: Introductionsupporting
confidence: 52%
“…First, generous consumer subsidies from central and local governments (about 26% of pre-subsidy vehicle prices) played a crucial role in the rapid growth of the market by explaining over half of the EVs sold during our data period. The impact is similar in magnitude to that of the subsidy programs in the United States and Norway in Li et al (2017) and Springel (2019).…”
Section: Introductionsupporting
confidence: 52%
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