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HOW FUNDING STRUCTURE AFFECTS EFFICIENCY OF R&D INVESTMENT BY LARGE- AND MEDIUM-SIZED INDUSTRIAL FIRMS IN CHINA? EVIDENCE FROM PROVINCE-LEVEL PANEL DATA

Yixiao Zhou, Runyang Zhang and Ligang Song ()
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Runyang Zhang: School of Economics and Finance, Curtin University, Kent St, Bentley WA6102, Western Australia, Australia

The Singapore Economic Review (SER), 2019, vol. 64, issue 04, 921-938

Abstract: This study explores the efficiencies of firm’s R&D investment depending on the degree of reliance on government funding relative to firms’ private funding. Stochastic frontier analysis is applied on a sample of 30 provinces with data on R&D inputs and innovation outputs by all large- and medium-sized industrial firms in these provinces from 2000 to 2013. It is found that R&D investment financed by firms’ private funding is more efficient than that by government funding in generating new products, whereas R&D investment financed by government funding is more efficient than that by firms’ private funding in producing new patents.

Keywords: R&D investment; innovation output; funding structure; stochastic frontier analysis; China (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0217590817450084

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