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Research on Innovation Signals and Feedbacks between SMEs and the Government

  • Xiao Feng , Weidong Meng and Bo Huang EMAIL logo
Published/Copyright: August 3, 2020

Abstract

Due to the financing constraint that faced by small and medium-sized enterprises (SMEs), SMEs are more cautious in innovation investments, and thus more eager to gain external financial support. This paper discusses the impact of SMEs’ R&D investment on government subsidy under the constraint of hidden information. It adopts a modified endogenous switching regression model to solve the endogenous problems. The results show that SME’s initiative to signal its underlying innovative capacity has an important impact on Chinese government’s subsidy feedback. SMEs that send high-type signals have gained more subsidies. And when SMEs are with different types of innovation signals, they would have different influence mechanisms on subsidy feedback. This study concludes that the policymakers should make more use of its belief and give effective feedbacks to the entrepreneurs.


Corresponding author: Bo Huang, School of Economics and Business Administration, Chongqing University, No. 174, Shazheng Rd., Shapingba Dist., Chong Qing, 400044, China, E-mail:

Funding source: National Social Science Foundation of China

Award Identifier / Grant number: 08AJY028

Funding source: Fundamental Research Funds for the Central Universities

Award Identifier / Grant number: 2020CDJSK02PT12

Funding source: Chongqing Graduate Research Innovation Project

Award Identifier / Grant number: CYB14005

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work is supported by the National Social Science Foundation of China (08AJY028), the Fundamental Research Funds for the Central Universities (No. 2020CDJSK02PT12), and the Chongqing Graduate Research Innovation Project (CYB14005).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-04-27
Accepted: 2020-07-06
Published Online: 2020-08-03

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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