2023
DOI: 10.1002/sd.2715
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Low‐carbon sustainable development driven by new energy vehicle pilot projects in China: Effects, mechanisms, and spatial spillovers

Qian Cheng,
Yongqing Xiong

Abstract: The transport sector, as one of the major carbon‐emitting industries, is under great pressure to reduce carbon emissions against the backdrop of low‐carbon sustainable development. The new energy vehicle (NEV) pilot projects provide an opportunity for China to make strides towards Dual Carbon targets. Based on the panel data of 277 cities in China from 2000 to 2019, this study acquires the time‐varying difference‐in‐difference (DID) method to evaluate the impact of NEV pilot projects on urban CO2 emissions, in… Show more

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Cited by 8 publications
(2 citation statements)
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“…Given that China's region-by-region deregulation of foreign bank entry provided an excellent exogenous policy shock for pollution abatement at the level of industrial firms, this article employs the DID methodology to design a quasi-natural experiment to evaluate and analyze the pollution abatement effect of FO on industrial firms in China. The DID method is a causal inference method that is widely used for policy evaluation (Cheng & Xiong, 2024;Sraer & Thesmar, 2023;Zhou & Du, 2024). The reason why the DID method was chosen as the main research method is that it can utilize the available data on firms' emissions for causal inference while satisfying the parallel trend test.…”
Section: Econometric Model Designmentioning
confidence: 99%
“…Given that China's region-by-region deregulation of foreign bank entry provided an excellent exogenous policy shock for pollution abatement at the level of industrial firms, this article employs the DID methodology to design a quasi-natural experiment to evaluate and analyze the pollution abatement effect of FO on industrial firms in China. The DID method is a causal inference method that is widely used for policy evaluation (Cheng & Xiong, 2024;Sraer & Thesmar, 2023;Zhou & Du, 2024). The reason why the DID method was chosen as the main research method is that it can utilize the available data on firms' emissions for causal inference while satisfying the parallel trend test.…”
Section: Econometric Model Designmentioning
confidence: 99%
“…With the increasing global concern for environmental issues and the need for sustainable transportation alternatives, new energy vehicles (NEVs) have gained significant attention in recent years (Zhang and Qin, 2018;Lin and Shi, 2022;Cheng and Xiong, 2023). By the end of 2022, the number of NEVs in China had reached 13.10 million, ranking first worldwide.…”
Section: Introductionmentioning
confidence: 99%