Are government R&D incentives conducive to improving regional innovation efficiency?

Liu Xielin, Zhu Langmei, Yang Boxu

Science Research Management ›› 2021, Vol. 42 ›› Issue (7) : 50-59.

PDF(382 KB)
PDF(382 KB)
Science Research Management ›› 2021, Vol. 42 ›› Issue (7) : 50-59.

Are government R&D incentives conducive to improving regional innovation efficiency?

  • Liu Xielin, Zhu Langmei, Yang Boxu
Author information +
History +

Abstract

    Under the innovation-driven development strategy, the externality of R&D hinders the enthusiasm and initiative of organizational innovation, which leads to the market failure of R&D. For this reason, as with other countries, the Chinese government has adopted a series of innovative policies such as government R&D subsidies and R&D tax credits to try to solve the problem of market failure in R&D. So, how effective is the implementation of these innovation policies? Existing studies have interpreted the impact of different types of innovation policies on R&D input or output. But we know that innovation is the process of converting inputs into outputs, which involves the concept of efficiency. Therefore, only considering innovation input or output unilaterally cannot fully explain the implementation effects of innovation policies. Meanwhile, different innovation processes correspond to different outputs, which generally divide into technical outputs and commercialized outputs, and there are differences in the innovation efficiency measured by different innovation outputs. Therefore, it is necessary to investigate the implementation effect of innovation policy from the perspective of innovation efficiency subdivision. From this, our paper intends to divide innovation efficiency into technological innovation efficiency and commercial innovation efficiency according to the technology output and commercialization output of innovation and respectively explores the influence of government R&D subsidy and R&D tax credits on the two kinds of efficiency. In addition, considering the differences in the development-driven methods of various regions, the regional development-driven methods are divided into innovation-driven and investment-driven by comparing the intensity of R&D investment in each region with the average R&D investment intensity of the country. Then it explores the moderating effect of regional development driving methods on the relationship between different R&D incentive measures and regional innovation efficiency.
     To this end, this paper takes the panel data of 30 regions in China from 2007 to 2017 as samples, takes the regional R&D capital stock and labor force level as the innovation input, and takes the number of invention patent applications and new product sales revenue as the innovation output respectively. A stochastic frontier model in the form of a trans-logarithmic production function is used to test the hypotheses. Furthermore, we consider the moderating effect of the driving mode of regional development.
     The results show that government R&D subsidies have a positive impact on regional technological innovation efficiency, while have a negative impact on regional commercial innovation efficiency; R&D tax credits harm the regional technological innovation efficiency, while has no significant effect on the regional commercial innovation efficiency. Further, government R&D subsidies have no significant difference in the efficiency of technological innovation in regions with different development driving modes, and all of them have a positive impact. But there has a more strong negative effect on the efficiency of business innovation in innovation-driven regions. Meanwhile, compared with investment-driven regions, the deduction of R&D expenses has a more significant negative impact on technological innovation efficiency and positive effects on business innovation efficiency in innovation-driven regions.
    Possible innovation points of this paper are as follows: Firstly, this paper discusses the implementation effect of government R&D incentive measures from the perspective of efficiency, which complements the bias of unilateral consideration of innovation input or output research; Secondly, according to different outputs corresponding to different innovation processes, this article subdivides regional innovation efficiency into technological innovation efficiency and commercial innovation efficiency. Thirdly, according to the comparison between the R&D input intensity of each region and the average R&D input intensity of the whole country, a new regional classification method is proposed.
     The main policy implications of this study are as follows: Firstly, innovation policy factors are affecting regional innovation efficiency, such as government R&D subsidies and R&D tax credits. Secondly, regional differences in development-driven modes lead to differences in the implementation effect of R&D incentives, and policy makers need to take measures according to local conditions. Government R&D subsidies apply to nationwide promotion, while additional deduction of R&D expenses is not always valid, which is more suitable for innovation-driven areas. Finally, the research on the impact of R&D incentive measures on different regional innovation efficiencies is helpful to clarify the valid incentive objects corresponding to different types of R&D subsidies, to facilitate policymakers to take targeted schemes. Among them, government R&D subsidies are more inclined to subsidize technology R&D projects with long-term, high-risk, high-tech, and high social returns. On the contrary, the R&D expense plus deduction prefers short-term, low-risk, and low-tech commercial new product R&D projects.

Key words

R&D subsidy / R&D tax credit / innovation efficiency / innovation-driven / investment-driven

Cite this article

Download Citations
Liu Xielin, Zhu Langmei, Yang Boxu. Are government R&D incentives conducive to improving regional innovation efficiency?[J]. Science Research Management. 2021, 42(7): 50-59

References

[1] Arrow K J. Economic welfare and the allocation of resources for invention [M]. Readings in Industrial Economics. Springer. 1962: 219-236.

[2] 高雨辰,柳卸林,马永浩,张华.政府研发补贴对企业研发产出的影响机制研究——基于江苏省的实证分析[J].科学学与科学技术管理,2018,39(10):51-67.

Gao Yuchen, Liu Xielin, Ma Yonghao, Zhang Hua. Research on the influence mechanism of public r&d subsidy on firms' r&d output: An empirical study of Jiangsu province[J]. Science of Science and Management of S. & T., 2018, 39(10):51-67.

[3] Radas S, Anić I D, Tafro A et al. The effects of public support schemes on small and medium enterprises[J]. Technovation, 2015, 38: 15-30.

[4] Toole A A, Turvey C. How does initial public financing influence private incentives for follow-on investment in early-stage technologies?[J]. The Journal of Technology Transfer, 2009, 34(1): 43-58.

[5] Kung C C, Zhang L, Kong F. How government subsidy leads to sustainable bioenergy development[J]. Technological Forecasting and Social Change, 2016, 112: 275-284.

[6] Dai X, Cheng L. The effect of public subsidies on corporate R&D investment: An application of the generalized propensity score[J]. Technological Forecasting and Social Change, 2015, 90: 410-419.

[7] David P A, Hall B H, Toole A A. Is public R&D a complement or substitute for private R&D? A review of the econometric evidence [J]. Research Policy, 2000,29(4-5), 497-529.

[8] 白俊红, 李婧. 政府 R&D 资助与企业技术创新——基于效率视角的实证分析[J]. 金融研究, 2011 (6): 181-193.

Bai Junhong, Li Jing. Government's R&D subsidies and enterprise technology innovation:An empirical analysis based on the perspective of efficiency[J]. Journal of Financial Research, 2011 (6): 181-193.

[9] 于惊涛, 杨大力. 政府投入, 经济自由度与创新效率: 来自 24 个领先国家的实证经验[J]. 中国软科学, 2018, 7: 181-192.

Yu Jingtao, Yang Dali. Government R&D investmenteconomic freedom and innovation efficiency: The empirical evidence from 24 innovation-oriented countries[J]. China Soft Science Magazine, 2018, 7: 181-192.

[10] 肖文, 林高榜. 政府支持, 研发管理与技术创新效率——基于中国工业行业的实证分析[J]. 管理世界, 2014 (4): 71-80.

Xiao Wen, Lin Gaobang. Government support, r&d management, and technological innovation efficiency -- Based on empirical analysis of China's industrial industries[J]. Management World, 2014 (4): 71-80.

[11] Farrell M J. The measurement of productive efficiency[J]. Journal of the Royal Statistical Society: Series A (General), 1957, 120(3): 253-281.

[12] 程慧平,万莉,黄炜,张冀新.中国省际R&D创新与转化效率实证研究[J].管理评论,2015,27(04):29-37.

Cheng Huiping, Wan Li, Huang Wei, Zhang Jixin. Empirical study on provincial R&D innovation and transformation efficiency in China[J]. Management Review, 2015, 27(04): 29-37.

[13] Pahnke E C, Katila R, Eisenhardt K M. Who takes you to the dance? How partners’ institutional logics influence innovation in young firms[J]. Administrative Science Quarterly, 2015, 60(4): 596-633.

[14] Zhang J J, Guan J. The time-varying impacts of government incentives on innovation[J]. Technological Forecasting and Social Change, 2018, 135: 132-144.

[15] Hall B, Van Reenen J. How effective are fiscal incentives for R&D? A review of the evidence[J]. Research policy, 2000, 29(4-5): 449-469.

[16] Wessner C W. An assessment of the SBIR Program at the National Science Foundation[J]. National Academies Press,2008.

[17] Chen L, Yang W. R&D tax credits and firm innovation: Evidence from China[J]. Technological Forecasting and Social Change, 2019, 146: 233-241.

[18] Czarnitzki D, Hanel P, Rosa J M. Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms[J]. Research Policy, 2011, 40(2): 217-229.

[19] Czarnitzki D, Hussinger K. The link between R&D subsidies, R&D spending and technological performance[J]. ZEW-Centre for European Economic Research Discussion Paper, 2004 (04-056).

[20] Freitas I B, Castellacci F, Fontana R, et al. Sectors and the additionality effects of R&D tax credits: A cross-country microeconometric analysis[J]. Research Policy, 2017, 46(1): 57-72.

[21] Bérubé C, Mohnen P. Are firms that receive R&D subsidies more innovative?[J]. Canadian Journal of Economics/Revue canadienne d'économique, 2009, 42(1): 206-225.

[22] 柳卸林,高雨辰,丁雪辰.寻找创新驱动发展的新理论思维——基于新熊彼特增长理论的思考[J].管理世界,2017(12):8-19.

Liu Xielin, Gao Yuchen, Ding Xuechen. Looking for a new theoretical thinking of innovation-driven development -- Thinking based on New Schumpeter's Growth Theory[J]. Management World, 2017(12):8-19.

[23] Rodrik D. Coordination failures and government policy: A model with applications to east asia and eastern europe[J]. Journal of international economics, 1996, 40(1-2): 1-22.

[24] Liu X, Gao T, Wang X. Regional innovation index of China: 2017[J]. Springer Books, 2018.

[25] Hanusch H, Pyka A. Principles of neo-Schumpeterian economics[J]. Cambridge Journal of Economics, 2007, 31(2): 275-289.

[26] Oh E T, Chen K M, Wang L M, et al. Value creation in regional innovation systems: The case of Taiwan's machine tool enterprises[J]. Technological Forecasting and Social Change, 2015, 100: 118-129.

[27] Min S, Kim J, Sawng Y W. The effect of innovation network size and public R&D investment on regional innovation efficiency[J]. Technological Forecasting and Social Change, 2020, 155: 119998.

[28] Fan G, Ma G, Wang X. Institutional reform and economic growth of China: 40-year progress toward marketization[J]. Acta Oeconomica, 2019, 69(s1): 7-20.

[29] 白旭云, 王砚羽, 苏欣. 研发补贴还是税收激励——政府干预对企业创新绩效和创新质量的影响[J]. 科研管理, 2019 (6): 9-18.

Bai Xuyun, Wang Yanyu, Su Xin. R&D subsidies or tax incentives: An empirical analysis of government intervention on enterprise innovation performance and innovation quality[J]. Science Research Management, 2019 (6): 9-18.

[30] Czarnitzki D, Delanote J. Incorporating innovation subsidies in the CDM framework: empirical evidence from Belgium[J]. Economics of Innovation and New Technology, 2017, 26(1-2): 78-92.

[31] 吴延兵. 自主研发, 技术引进与生产率——基于中国地区工业的实证研究[J]. 经济研究, 2008, 8: 51-64.

Wu Yanbing. Indigenous R&D, Technology imports and productivity:evidence from industries across regions of China[J]. Economic Research Journal, 2008, 8: 51-64.

[32] Battese G E, Coelli T J. A model for technical inefficiency effects in a stochastic frontier production function for panel data[J]. Empirical economics, 1995, 20(2): 325-332.

[33] Guan J C, Yam R C M. Effects of government financial incentives on firms’ innovation performance in China: Evidences from Beijing in the 1990s[J]. Research Policy, 2015, 44(1): 273-282.

[34] Cruz-Cázares C, Bayona-Sáez C, García-Marco T. You can’t manage right what you can’t measure well: Technological innovation efficiency[J]. Research policy, 2013, 42(6-7): 1239-1250.

[35] 盛彦文,骆华松,宋金平,赵金丽,张学波.中国东部沿海五大城市群创新效率、影响因素及空间溢出效应[J].地理研究,2020,39(02):257-271.

Sheng Yanwen, Luo Huasong, Song Jinping et al. Evaluation, influencing factors and spatial spillover of innovation efficiency in five major urban agglomerations in coastal China[J]. Geographical Research, 2020,39(02):257-271.

[36] Busom I, Corchuelo B, Martínez-Ros E. Tax incentives… or subsidies for business R&D?[J]. Small Business Economics, 2014, 43(3): 571-596.

[37] Cohen W M, Levinthal D A. Absorptive capacity: A new perspective on learning and innovation[J]. Administrative science quarterly, 1990: 128-152.

[38] 杨博旭,王玉荣,李兴光.“厚此薄彼”还是“雨露均沾”——组织如何有效利用网络嵌入资源提高创新绩效[J].南开管理评论,2019,22(03):201-213.

Yang Boxu, Wang Yurong, Li Xingguang. Favoritism or equality: How to make effective use of network resources to improve innovation performance[J]. Nankai Business Review, 2019,22(03):201-213.

[39] 黎文靖, 郑曼妮. 实质性创新还是策略性创新?——宏观产业政策对微观企业创新的影响[J]. 经济研究, 2016, 51(4): 60-73.

Li Wenjing, Zheng Manni. Is it substantive innovation or strategic innovation?Impact of macroeconomic policies on micro-enterprises' innovation[J]. Economic Research Journal, 2016, 51(4): 60-73.


PDF(382 KB)

Accesses

Citation

Detail

Sections
Recommended

/