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Heterogeneous Effects of Basic Research and Applied Research on High Quality Economic Development: from the Perspective of "Middle Income Trap" Risk |
Hu Xuhua1,2,Lv Chengyang2,Ding Xuhui1,2 |
(1.Institute of Industrial Economics, Jiangsu University;2.School of Finance and Economics, Jiangsu University, Zhengjiang 212013, China) |
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Abstract At present, China's internal and external development environment has changed.The space for economic growth driven by investment has narrowed, the demographic dividend has gradually disappeared, and the weak traditional economic momentum has exacerbated the risk of China falling into the "middle-income trap".Scholars have conducted a lot of research from the aspects of income gap, supply and demand structure and financial development, and found that although the improvement of the above factors can obtain benefits and promote economic growth, they can not avoid the law of diminishing marginal return in the end.From a long-term perspective, only by focusing on investment in technological innovation can China achieve high-quality economic development and thus overcome the "middle-income trap".Basic research and applied research, as two types of heterogeneous R&D activities, both play an important role in China's technological innovation.Therefore, conducting differentiated research on different types of R&D activities and clarifying the heterogeneous impact of basic research and applied research on high-quality economic development can provide a theoretical basis for China to overcome the "middle-income trap". This paper selects the improvement of economic efficiency and the transformation of economic kinetic energy to comprehensively measure the high-quality development level of China's economy, in which the DEA-Malmquist index method is used to calculate the total factor productivity (TFP) as the proxy variable of economic efficiency improvement; the ratio of the output value of the tertiary industry to the output value of the secondary industry is used as the measurement index of China's economic kinetic energy transformation.Using the 30 provincial panel data in Mainland China from 2001 to 2017 as a sample, reveal the impact and mechanism of heterogeneous R&D activities on the high-quality development of the Chinese economy from the perspective of the risk of the "middle income trap", and whether there is a threshold effect in basic research , and used multiple regression equations to predict and analyze the average annual growth rate of China's basic research investment under the "middle-income trap".The results found that: (1)Both basic research and applied research are conducive to the improvement of economic efficiency, and only basic research significantly promotes the conversion of economic kinetic energy.(2)There is a gap in income levels in the eastern, central and western regions.Basic research has a stepwise regional heterogeneity effect on the high-quality economic development.It has a significant promotion effect on the economic efficiency of the eastern region, has no significant effect on the central region, has a significant inhibitory effect on the western region, and only has a significant effect on the conversion of economic kinetic energy in the eastern region, but the applied research has no significant regional heterogeneity effect.(3)Basic research has a significant threshold effect.Basic research will promote the high-quality development of the regional economy only when a certain income level is reached.(4)In order to successfully overcome the "middle-income trap" around 2025, China's basic research investment needs to maintain an average annual growth rate of 24.7% and 29.3% in the future. Based on the research conclusions, this paper puts forward the following policy recommendations: (1) Formulate differentiated innovation incentive policies based on the level of economic development.The eastern region should increase investment in basic research and enhance original innovation capabilities; the central and western regions should focus on imitating innovation, focus on investment in applied research, and actively absorb technological spillovers from the eastern region; (2)Increase government investment in basic research.Local governments should increase support for basic research, actively build major national science and technology infrastructure such as national laboratories, national key laboratories, and comprehensive national innovation centers, and strengthen strategic support for science and technology.In the future, the growth rate of basic research investment should be maintained at \[24.7% and 29.3%\];(3)Strengthen the construction of intellectual property protection system.The government should play the role of "night watchman", formulate a high-level intellectual property protection system, protect the innovation achievements and innovation income of innovation subjects, and enhance the overall innovation enthusiasm of the society.
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Received: 06 February 2021
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[1] 金碚.关于“高质量发展”的经济学研究[J].中国工业经济,2018,35(4):5-18.[2] RAJAN R S.East asian visions: perspectives on economic development-by indermit gill et al[J].Asian-Pacific Economic Literature, 2007, 21(2): 55-56.[3] 赵文军.我国省区劳动生产率的变化特征及其成因:1990-2012[J].经济学家,2015,73(6):58-67.[4] 武鹏.改革以来中国经济增长的动力转换[J].中国工业经济,2013,30(2):5-17.[5] 杨文举.技术效率、技术进步、资本深化与经济增长:基于DEA的经验分析[J].世界经济,2006,29(5):73-83,96.[6] 王家庭,李艳旭,马洪福,等.中国制造业劳动生产率增长动能转换:资本驱动还是技术驱动[J].中国工业经济,2019,36(5):99-117.[7] 蔡昉.中国经济面临的转折及其对发展和改革的挑战[J].中国社会科学,2007,32(3):4-12,203.[8] 程文,张建华.收入水平、收入差距与自主创新——兼论“中等收入陷阱”的形成与跨越[J].经济研究,2018,53(4):47-62.[9] DESDOIGTS A, JARAMILLO F.Bounded learning by doing, inequality, and multi-sector growth:a middle-class perspective[J].Review of Economic Dynamics, 2019, 36(4):198-219.[10] YIPING H, QIN G, XUN W.Financial liberalization and the middle-income trap: what can China learn from the cross-country experience[J].China Economic Review, 2014, 31: 426-440.[11] 郑秉文.“中等收入陷阱”与中国发展道路——基于国际经验教训的视角[J].中国人口科学,2011,25(1):2-15,111.[12] ACEMOGLU D, AGHION P, ZILIBOTTI F.Distance to frontier, selection, and economic growth[J].Journal of the European Economic Association, 2002, 4(1):37-74.[13] HA J,J K YONG,J W LEE.Optimal structure of technology adoption and creation: basic versus development research in relation to the distance from the technological frontier[J].Asian Economic Journal, 2009, 23(3): 373-395.[14] 杨立岩,潘慧峰.人力资本、基础研究与经济增长[J].经济研究,2003,49(4):72-78,94.[15] 王娟,任小静.基础研究与工业全要素生产率提升——任正非之问的实证检验[J].现代财经(天津财经大学学报),2020,40(6):3-16.[16] 李雪松,张雨迪,孙博文.区域一体化促进了经济增长效率吗——基于长江经济带的实证分析[J].中国人口·资源与环境,2017,27(1):10-19.[17] 谭语嫣,纪洋,黄益平.利率市场化改革对经济效率的影响[J].世界经济,2017,40(4):3-28.[18] 朱平芳,徐伟民.政府的科技激励政策对大中型工业企业R&D投入及其专利产出的影响——上海市的实证研究[J].经济研究,2003,38(6):45-53,94.[19] 余泳泽.中国区域创新活动的“协同效应”与“挤占效应”——基于创新价值链视角的研究[J].中国工业经济,2015,32(10):37-52.[20] 严成樑.现代经济增长理论的发展脉络与未来展望——兼从中国经济增长看现代经济增长理论的缺陷[J].经济研究,2020,55(7):191-208.[21] LIN P, LIU Z, ZHANG Y.Do Chinese domestic firms benefit from FDI inflow: evidence of horizontal and vertical spillovers[J].China Economic Review, 2009, 20(4):677-691.[22] 朱玉成.中国跨越“中等收入陷阱”和预防“高收入之墙”的政策创新研究[J].社会科学,2020,42(4):58-67.[23] COSTELLO P M.Invention and economic growth[M].Harvard University Press, 1966.[24] 张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004,39(10):35-44.[25] 徐现祥,周吉梅,舒元.中国省区三次产业资本存量估计[J].统计研究,2007,14(5):6-13.[26] 干春晖,郑若谷,余典范.中国产业结构变迁对经济增长和波动的影响[J].经济研究,2011,46(5):4-16,31.[27] 孙早,许薛璐.前沿技术差距与科学研究的创新效应——基础研究与应用研究谁扮演了更重要的角色[J].中国工业经济,2017,34(3):5-23.[28] 王娟,任小静.基础研究与工业全要素生产率提升——任正非之问的实证检验[J].现代财经(天津财经大学学报),2020,40(6):3-16.[29] ANDREW A TOOLE.The impact of public basic research on industrial innovation: evidence from the pharmaceutical industry,2011, 41(1):1-12.[30] BRONWYN H HALL, JACQUES MAIRESSE.Exploring the relationship between R&D and productivity in French manufacturing firms[J].Journal of Econometrics,1995, 65(1):263-293.[31] 李梅,柳士昌.对外直接投资逆向技术溢出的地区差异和门槛效应——基于中国省际面板数据的门槛回归分析[J].管理世界,2012,28(1):21-32,66.[32] SYLVIE DEMURGER.Infrastructure development and economic growth: an explanation for regional disparities in china[J].Journal of Comparative Economics, 2001, 29(1): 95-117.[33] 秦放鸣,张宇.知识产权保护与地区制造业升级——基于中介效应和面板分位数模型的实证分析[J].科技进步与对策,2020,37(13):74-82.[34] 冯德连,王锦,王若梅.长江经济带OFDI对先进制造业发展的影响:对外开放度门槛效应研究[J].财贸研究,2020,31(8):1-13.[35] 王丹.新经济地理理论研究的新进展[J].经济理论与经济管理,2011,31(5):36-41.[36] 吕越,包雅楠.国内价值链长度与制造业企业创新——兼论中国制造的“低端锁定”破局[J].中南财经政法大学学报,2019,62(3):118-127.[37] 董小君,石涛.驱动经济高质量发展的科技创新要素及时空差异——2009—2017年省级面板数据的空间计量分析[J].科技进步与对策,2020,37(4):52-61.[38] 黄勇峰,任若恩,刘晓生.中国制造业资本存量永续盘存法估计[J].经济学(季刊),2002,2(1):377-396.[39] 周密.研发存量、研发经费来源与知识生产效率[J].经济评论,2012,33(5):61-68.[40] 姚树洁,韦开蕾.中国经济增长、外商直接投资和出口贸易的互动实证分析[J].经济学(季刊),2008,8(1):151-170.[41] 冷建飞,高旭,朱嘉平.多元线性回归统计预测模型的应用[J].统计与决策,2016,32(7):82-85.[42] 中国经济增长前沿课题组,张平,刘霞辉,等.中国经济长期增长路径、效率与潜在增长水平[J].经济研究,2012,47(11):4-17,75. |
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