2021
DOI: 10.3390/su13158643
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Can the New Energy Vehicle Pilot Policy Achieve Green Innovation and Emission Reduction?—A Difference-in-Differences Analysis on the Evaluation of China’s New Energy Fiscal Subsidy Policy

Abstract: Whether the new energy vehicle pilot policy (NEVPP) can achieve green innovation and emission reduction is an important exploration for China to achieve green and sustainable development. This research aims to empirically investigate the impact, impact mechanism, and heterogeneity characteristics of the NEVPP on urban green innovation and emission reduction based on panel data from 281 cities in China from 2004 to 2017, using difference-in-differences (DID) methods and fixed effect (FE) models. The results sho… Show more

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Cited by 13 publications
(10 citation statements)
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References 53 publications
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“…It indicates that a large number of enterprises suffer from a low level of green innovation. Among the control variables, the mean and median of the enterprise fundamental variables, such as listed years and property rights, are similar to the statistical results of most existing related studies (Zhang et al, 2022; Zhang et al, 2023; Zheng et al, 2022).…”
Section: Methods and Datasupporting
confidence: 79%
“…It indicates that a large number of enterprises suffer from a low level of green innovation. Among the control variables, the mean and median of the enterprise fundamental variables, such as listed years and property rights, are similar to the statistical results of most existing related studies (Zhang et al, 2022; Zhang et al, 2023; Zheng et al, 2022).…”
Section: Methods and Datasupporting
confidence: 79%
“…CETS has a significant promotion and negative spatial siphon effect on GTFP in pilot cities and the aforementioned parallel trend test has justified the application of the SDID method; however, considering that the non-random establishment of CETS pilot areas may lead to biased estimation results [48], we further adopt the propensity score matching SDID (PSM-SDID) method to avoid endogenous selection bias. We select urban economic development level, population size, energy consumption scale, and industrial structure as matching characteristic variables and then perform logistic regression and kernel matching to obtain matching samples and estimate them according to Formula (1).…”
Section: Psm-sdid Estimationmentioning
confidence: 99%
“…In Spain, large companies avoid stricter enforcement by clustering just below the tax enforcement threshold [24,25]. In China, there are clusters of enterprises near the threshold of R&D tax incentives [3,26,27].…”
Section: Threshold Rules For Tax Incentivesmentioning
confidence: 99%
“…Classical economic theory and endogenous economic theory agree that technological innovation plays a vital role in the process of economic development. Therefore, the government has a motivation to seek the optimal allocation of resources by intervening and providing support to corporate R&D investment to promote enterprise technological innovation [1][2][3]. The following are stipulated in the outline of China's 14th Five-Year Plan: improving the market-oriented technical innovation mechanism, strengthening the status of enterprise innovation's main body, accelerating the enterprise agglomeration of various innovative elements, and formation of a market-oriented technology innovation system in which enterprise is the main body, is market-oriented, and in which there is depth of fusion.…”
Section: Introductionmentioning
confidence: 99%