Can innovation really bring economic growth?: The role of social filter in China

Ailun Xiong; Senmao Xia; Zhen Ye; Dongmei Cao; Yanguo Jing; Hongyi Li

doi:10.1016/j.strueco.2020.01.003

Can innovation really bring economic growth? The role of social filter in China

Ailun Xiong
, Senmao Xia
, Zhen Ye
, Dongmei Cao
, Yanguo Jing
, Hongyi Li

Chongqing Technology and Business University
Chinese University of Hong Kong

Research output: Contribution to journal › Article › peer-review

50 Citations (Scopus)

509 Downloads (Pure)

Abstract

This study explores the relationship between R&D investment and economic growth in China, using a newly collected panel data set. Specifically, we investigate how social filters are connected to R&D output. Instead of linking R&D investment directly to economic performance, we adopt a two-step strategy which identifies the impact R&D investment on R&D output, and then study the causal links between R&D output and economic development. Our results suggest that the relationship between R&D input, R&D output and economic growth diverges by different region and sectors. Most of positive associations stem from non-peripheral regions and non-state owned sectors. Social filters are also more effective under these circumstances. These results reveal the complexity of relationships between R&D efforts and economic performance and point to the important role of social filters in innovation and growth.

Original language	English
Pages (from-to)	50-61
Number of pages	12
Journal	Structural Change and Economic Dynamics
Volume	53
Early online date	15 Jan 2020
DOIs	https://doi.org/10.1016/j.strueco.2020.01.003
Publication status	Published - Jun 2020

Bibliographical note

© 2020, Elsevier. Licensed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funder

Youth Foundation of Ministry of Education: 19YJC630187, and National Science Youth Foundation: 71902014.

Funding

This work is financed by the Youth Foundation of Ministry of Education: 19YJC630187, and National Science Youth Foundation: 71902014.

Funders	Funder number
National Youth Science Foundation	71902014
Ministry of Education	19YJC630187

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Keywords

R&D
Spillover
Social Filter
Economic Growth
China

Access to Document

10.1016/j.strueco.2020.01.003

Post-PrintAccepted author manuscript, 811 KBLicence: CC BY-NC-ND

Cite this

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title = "Can innovation really bring economic growth?: The role of social filter in China",

abstract = "This study explores the relationship between R\&D investment and economic growth in China, using a newly collected panel data set. Specifically, we investigate how social filters are connected to R\&D output. Instead of linking R\&D investment directly to economic performance, we adopt a two-step strategy which identifies the impact R\&D investment on R\&D output, and then study the causal links between R\&D output and economic development. Our results suggest that the relationship between R\&D input, R\&D output and economic growth diverges by different region and sectors. Most of positive associations stem from non-peripheral regions and non-state owned sectors. Social filters are also more effective under these circumstances. These results reveal the complexity of relationships between R\&D efforts and economic performance and point to the important role of social filters in innovation and growth.",

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author = "Ailun Xiong and Senmao Xia and Zhen Ye and Dongmei Cao and Yanguo Jing and Hongyi Li",

note = "{\textcopyright} 2020, Elsevier. Licensed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author{\textquoteright}s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it. ",

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AU - Jing, Yanguo

AU - Li, Hongyi

N1 - © 2020, Elsevier. Licensed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

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