The Evolving Structure of Chinese R&D Funding and its Implications for the Productivity of Agricultural Biotechnology Research

Jinyang Cai, Weiqiong Chen, Jikun Huang, Ruifa Hu, Carl E. Pray

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

China’s research and development (R&D) policy has changed considerably over recent decades, and great changes occurred in 2006 when the main programme objective of China’s R&D changed from the 863 Programme and 973 Programme to the National Science and Technology Major Project. One topic that has drawn extensive attention is whether the investment reform improved R&D productivity in China. Using a unique panel dataset from 160 universities, this paper examines the effect of the investment reform on productivity improvement in China’s agricultural biotechnology sector. We use a panel count data model with a dynamic feedback mechanism to model the knowledge production process. Strong evidence indicates that the investment reform greatly contributes to knowledge output production in China’s agricultural biotechnology sector. We also find that the input quality is more important than the absolute quantity; human research capacity exhibits the greatest contribution to the output of patents; past knowledge accumulation helps produce more patents; and entry barriers to patent production exist in China’s agricultural biotechnology sector. Moreover, the patent explosion in China may have been largely caused by improvements in the human capital input quality.

Original languageEnglish (US)
Pages (from-to)287-304
Number of pages18
JournalJournal of Agricultural Economics
Volume71
Issue number2
DOIs
StatePublished - Jun 1 2020

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics
  • Agricultural and Biological Sciences (miscellaneous)

Keywords

  • Agricultural biotechnology
  • dynamic feedback
  • human capital
  • investment reform
  • patents
  • research and development
  • research input quantity and quality

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