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Erschienen in: Eurasian Business Review 2/2022

11.04.2022 | Regular Article

Shadow banking contraction and innovation efficiency of tech-based SMEs-based on the implementation of China’s New Asset Management Regulation

verfasst von: Ziqin Yu, Xiang Xiao

Erschienen in: Eurasian Business Review | Ausgabe 2/2022

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Abstract

Tech-based SMEs are important subjects for achieving national innovation-driven development, and it is crucial to study whether and how changes in the macro-institutional environment affect their innovation efficiency. New Asset Management Regulation (NAMR) is a policy promulgated by the Chinese government to address the chaotic expansion of shadow banking in China, and this study treats it as a quasi-natural experiment, selecting a sample of Chinese GEM-listed firms from 2015 to 2019, adopting the event study method and the generalized double difference method, and empirically testing the impact of shadow banking contraction on the innovation efficiency of Chinese tech-based SMEs and its mechanism. This study finds that shadow banking contraction under the NAMR significantly improves innovation efficiency of tech-based SMEs. The mechanism test finds that the NAMR can optimize the debt financing structure of tech-based SMEs, reduce their financing costs and financing risks, and ultimately accelerate their innovation efficiency by improving their financing efficiency, which supports the hypothesis of “financing efficiency view”; it is further found that, to tech-based SMEs, the more they rely on shadow banking and the severer financing constraints they endure, the more obvious NAMR’s effect is on improving innovation efficiency. The findings not only provide some empirical evidence to clarify the controversy of shadow banking in China from the perspective of firm innovation, but also have some implications for the subsequent financial regulatory reform.

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Fußnoten
1
Announcement of the People’s Bank of China on the New Asset Management Regulation policy for public comment back (Draft for Comments). http://​www.​pbc.​gov.​cn/​rmyh/​105208/​3420439/​index.​html.
 
2
The data are obtained from the China CEInet Statistics Database, which is a huge economic statistical database group organized by China National Information Center through specialized processing by virtue of its good cooperation with national government departments. In Fig. 1, the vertical axis represents the average growth scale in the size of shadow banking (the size of shadow banking in the current period minus the size of shadow banking in the previous period), and the horizontal axis reflects the time in semi-annual basis.
 
3
The reason for using 2019 as the final year is that Chinese firms’ business conditions continue to fluctuate in the context of the COVID-19 that started to emerge in China at the end of 2019, which means that the relevant firm data become abnormal from 2020 onwards, and therefore, we need to exclude the special samples after 2019. The reason for using 2015 as the starting year of the study is that on November 17, 2017, the NAMR for public comment back was released, and since 2019 is the final year of the study, in order to avoid interference from other events due to the long duration of the previous data, 2015 is chosen as the starting year to achieve a symmetrical and balanced sample period centered on the time of the event.
 
4
China Baidu index reflects the search scale of a keyword in China Baidu website, which is calculated by weighting the searched frequency of each webpage keyword, the higher the index, the higher the attention of netizens.
 
5
In Fig. 2, the horizontal axis represents the number of days from the event date, and the vertical axis reflects the Baidu index.
 
Literatur
Metadaten
Titel
Shadow banking contraction and innovation efficiency of tech-based SMEs-based on the implementation of China’s New Asset Management Regulation
verfasst von
Ziqin Yu
Xiang Xiao
Publikationsdatum
11.04.2022
Verlag
Springer International Publishing
Erschienen in
Eurasian Business Review / Ausgabe 2/2022
Print ISSN: 1309-4297
Elektronische ISSN: 2147-4281
DOI
https://doi.org/10.1007/s40821-021-00201-0

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