The effect of financial subsidies on enterprise innovation performance in Yunnan Province: a study based on DEA-Malmquist model
DOI:
https://doi.org/10.62051/ijgem.v1n1.21Keywords:
Financial subsidies, Innovation efficiency, DEA model, Malmquist indexAbstract
The 14th Five-Year Plan and the Outline of the Vision goals for 2035 clearly put innovation at the core of China's overall modernization drive. Against the backdrop of a complex and changing international situation and accelerating changes in world industries, adhering to the strategy of innovation-driven development is a new engine for creating economic growth points. High-tech industries have high added value and strong profitability. They can not only promote their own upgrading through continuous technological innovation, but also share the results of their innovation output with other industries, which has obvious spillover and promotes the traditional industries to move upstream of the value chain. In recent years, the scale of financial investment in science and technology continues to expand in China. At this stage, the impact of government financial investment in science and technology on industrial innovation activities is studied. This investment in high-tech industry scientific and technological innovation activities is of great significance. Based on 16 prefectures (cities) in Yunnan Province from 2012 to 2021, this paper uses DEA model to measure their innovation efficiency, discuss and analyze the effect of financial subsidies on innovation efficiency.
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References
ROMER PM. Endogenous Technological Change[J].Journal of Political Economy,1990,98(5):1002-1037.
GROSSMAN GM, HELPMANE. Innovation and Growth in the Global Economy[M].Cambridge: MIT Press,1993.
GUELLECD, POTTEL SBERGHE BV.The Impact of Public R&D Expenditure on Business R&D[J].Economic Innovation New Technology, 2003, 12 (3) : 225-243.
ARROW KJ. The Economic Implications of Learning by Doing[J].Review of Economic Studies,1962,29(3):155-173.
KLEER R. Government R&D Subsidies as a Signal for Privat Investors[J].The Policy, 2010, 33 (10) : 6, 1361-1374.
BROWNJR, MARTINSSONG, PETERSEN BC. Do Financing Constraints Matter for R&D? [J]. European Economic Review, 2012, 56(8):1512-1529. (in Chinese)
TAKALOT TANAYAMAT. Adverse Selection and Financing of Innovation: Is There a Need for R&D Subsides? [J]. Journal Technology Transfer,2010,35(1):16-41.
CZARNITZKID, HANELP, ROSAJM.Evaluating the Impact of R&D Tax Credits on Innovation: A Micro econometric Study on Canadian Firms.Research Policy, 2011,40(2):217-229.
Chen Fenghua, Wang Qi. [9] Research on the effects of R&D subsidies and tax incentives on innovation efficiency of high-tech industries. Science and Technology and Economy, 2017(3):40-44.
Du Dong. DEA Method for enterprise technological Innovation evaluation [J]. Application of Systems Engineering Theory and Methods,200(1):82-84.
Yang Zhongmin. Review on theories and methods of enterprise technological innovation capability evaluation [J]. Science and Technology Progress and Countermeasures,2004(3): 138-140.
TANG Qingquan, Lu Boke, Yuan Yingxiang. [J] Resource input and innovation efficiency in industrial sectors: a case study of large and medium-sized industrial sectors in China. Research of Quantitative and Technical Economics,2009(2):3-17.
Liu Jibing, Wang Dingchao, Xia Ling. Research on the impact of government subsidies on innovation efficiency of strategic emerging industries [J]. Science and Technology Progress and Countermeasures,2014(23):56-61.
Fang Lei, Zhao Zijian. [14] Research on threshold effect of fiscal subsidy policy on regional technological innovation. Economic Issues,2020(9):54-61.]
Wang Li, Fan Jie, Liu Hanchu et al. Empirical Study on Innovation efficiency of national high-tech Zones under the Belt and Road Initiative [J]. Science and Technology Management Research,2021(7):70-78.]
FREDRIK DB.Capital Subsidies and the Performance of Firms[J].Small Business Economics,2000,14(3):183-193.
Feng Zongxian, Wang Qing, Hou Xiaohui. [17] Government input, marketization degree and technological innovation efficiency of Chinese industrial enterprises [J]. Journal of Quantitative and Technical Economics,2022, 7 /(4):3-17.]
Zhang Fan, Sun Wei. [18] Micro mechanism of government innovation subsidy efficiency: the superimposed effect of incentive effect and crowding-out effect: theoretical explanation and test.] Fiscal Research,2018(4):48-60.
Ren Yuewen. [J].2019(24):18-27.] Do government subsidies improve enterprise innovation efficiency: An empirical test based on threshold model.]
HUAG.Ownership, Government R&D, Private R&D, [J].Journal of Comparative Economics,2001,29(1):136-157. (in Chinese)
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