|
|
|
| Influencing Factors and Path Selection of Industrial Upgrading of National Independent Innovation Demonstration Zones：An Empirical Study Based on the fsQCA Method |
| Ma Zongguo,Jiang Yixiao |
| (Business School, Shandong Normal University, Jinan 250358,China) |
|
|
|
|
Abstract The main objectives and tasks of China's economic development in the new stage are to promote high-quality economic development and the transformation and upgrading of industrial structure. The Fourteenth Five-Year Plan of China proposes to focus on industrial transformation and upgrading, and pay attention to the application and innovation of key core technologies. All of these provide strategic policies for the high-quality transformation and upgrading of the industries in the national innovation demonstration zones. In the process of facilitating high quality economic growth by innovation, the national independent innovation demonstration zones play an important role in leading, radiating and driving regional innovation-driven development and accelerating economic transformation and upgrading. Although the achievements of industrial transformation and upgrading are remarkable, there are still problems, such as the overall industrial development level of national autonomous innovation demonstration zones is still low, and the industrial development in the demonstration zones in the east, middle and west is increasingly unbalanced. As a pioneering demonstration force to promote China's economic transformation and upgrading, the demonstration zones should meet the new requirements for transformation and upgrading development in the new era. #br#By comprehensively selecting the main condition variables affecting the industrial transformation and upgrading of the national innovation demonstration zones, this study aims to find the interaction and joint effects among multiple factors and explore more diversified, regular and heterogeneous industrial transformation and upgrading paths. #br#The study reveals the multiple concurrent relationships in the industrial transformation and upgrading of the national independent innovation demonstration zones by the fsQCA method. Taking the industrial data from 21 national independent innovation demonstration zones as research samples, it selects 12 representative variables from five dimensions to construct the indicator system of influencing factors. The main sources of data are from the 2018-2020 statistical yearbooks and statistical bulletins of each demonstration zone as well as the China City Statistical Yearbook and China Torch Statistical Yearbook, etc.#br#The results show that high R&D innovation investment and high innovation efficiency are the core conditions influencing industrial transformation and upgrading, among which R&D innovation investment is the foundation and innovation efficiency is the key; there is heterogeneity in the path of industrial transformation and upgrading in national innovation demonstration zones; two conditional groupings of influencing factors can generate high industrial transformation and upgrading paths, i.e. R&D innovation investment-efficiency synergy type and R&D innovation investment-efficiency-innovation driving capacity support type respectively; there are four paths of non-high industries transformation and upgrading, all of which present the absence of innovation efficiency condition factors. This situation is more likely to occur in the national high-tech city cluster combination model of the national innovation demonstration zones. In view of this, this paper proposes to play the role of policy guidance, increase the synergistic innovation of innovation elements, and clarify the industrial positioning of the park to promote the industrial transformation and upgrading of national innovation demonstration zones.#br#The industrial transformation and upgrading in national innovation demonstration zones is a complex process which is subject to the joint action of multiple factors and the synergistic interaction of multiple factor combinations. This paper innovatively explores the synergistic effects among multiple factors of industrial transformation and upgrading in national innovation demonstration zones as comprehensively as possible from a holistic combined action analysis. Furthermore by using the fsQCA method to identify the high transformation and upgrading paths and non-high transformation and upgrading paths generated by different combinations of multiple sets of explanatory variables, the study explains the differentiation of industrial transformation and upgrading levels, and their realization paths in the demonstration zones, providing the practical reference for the industrial transformation and upgrading of national independent innovation demonstration zones, and the industrial development of national high-tech parks.#br#
|
|
Received: 09 June 2022
|
|
|
|
|
|
[1] 马建堂,赵昌文.更加自觉地用新发展格局理论指导新发展阶段经济工作[J].管理世界,2020,36(11):1-6,231.
[2] 郭克莎,田潇潇.加快构建新发展格局与制造业转型升级路径[J].中国工业经济,2021,38(11):44-58.
[3] 李旭辉,郑丽琳,程静静.国家自主创新示范区创新驱动发展动态评价体系研究——基于二次加权动态评价方法[J].华东经济管理,2019,33(3):79-85.
[4] 马宗国,范学爱.“双循环”新发展格局下国家自主创新示范区创新驱动发展评价[J].经济体制改革,2021,39(2):21-27.
[5] 徐斌.基于耗散结构理论的创新驱动产业转型升级研究[J].企业经济,2020,39(4):5-12,2.
[6] 刘建江,易香园,王莹.新时代的产业转型升级：内涵、困难及推进思路[J].湖南社会科学,2021,34(5):67-76.
[7] CLARK COLIN. The conditions of economic progress[M].London: Macmillan, 1941:15-22.
[8] 西蒙·库兹涅茨.现代经济增长:速率、结构和扩展[M].戴睿，易诚，译.北京:北京经济学院出版社,1989.
[9] KANAMEA KAMATUS. A historical pattern of economic growth in developing countries[J].Developing Economies, 1962,1:3-25.
[10] JU J D, LIN Y F, WANG Y.Endowment structures, industrial dynamics, and economic growth[J]. Journal of Monetary Economics, 2015, 76:244-263.
[11] BELL M, ALBU M. Knowledge systems and technological dynamism in industrial clusters in developing countries[J].World Development.1999, 27 (9):1715-1734.
[12] LAURA HERING, SANDRA PONCET. Environmental policy and exports: evidence from Chinese cities[J].Journal of Environmental Economics and Management, 2014(2):296-318.
[13] GEREFFI G.International trade and industrial upgrading in the apparel commodity chain[J].Journal of International Economics,1999,48(1):37-70.
[14] RICHARD BALDWIN,JAVIER LOPEZ-GONZALEZ. Supply-chain trade: a portrait of global patterns and several testable hypotheses[J]. The World Economy, 2015, 38(11):1682-1721.
[15] 李丽珍,刘勇,王晖.以可持续供应链创新推进传统产业转型升级[J].宏观经济管理,2020,36(11):44-50,56.
[16] 徐鹏杰,王宁,杨乐晴.要素市场化配置、政府治理现代化与产业转型升级[J].经济体制改革,2020,38(5):86-92.
[17] 吴博.“一带一路”区域价值链构建与中国产业转型升级研究[J].经济问题探索,2020,41(7):102-109.
[18] 任保平,豆渊博.“十四五”时期新经济推进我国产业结构升级的路径与政策[J].经济与管理评论,2021,37(1):10-22.
[19] 罗滢渊,孙俊聪,周玉,等.湖北省开发区转型升级路径研究——基于改进的生命周期理论[J].华中师范大学学报(自然科学版),2020,54(2):268-278.
[20] 廖信林,杨正源.数字经济赋能长三角地区制造业转型升级的效应测度与实现路径[J].华东经济管理,2021,35(6):22-30.
[21] 王军,王昆.金融创新促进产业升级的路径、机理和效应——以山东省为例[J].学术交流,2019，35(3):95-107.
[22] 董微微,蔡玉胜.我国国家自主创新示范区创新能力评价[J].工业技术经济,2018,37(8):78-85.
[23] 李庆军,王家芳,胡海华.国家自主创新示范区创新能力评价——以山东半岛为例[J].技术经济,2018,37(6):10-15.
[24] 梁向东,阳柳.国家自主创新示范区创新驱动效率测度及政策评价[J].中国软科学,2021,36(7):131-142.
[25] 王淑英,赵雅曼.郑洛新国家自主创新示范区创新绩效评价及提升路径[J].科技管理研究,2021,41(20):10-16.
[26] 朱婷婷,戚湧.基于系统动力学的国家自主创新示范区聚力创新内在机理分析[J].中国科技论坛,2019,35(1):108-114.
[27] 张辉,马宗国.国家自主创新示范区创新生态系统升级路径研究——基于研究联合体视角[J].宏观经济研究,2020,42(6):89-101.
[28] 张银银,邓玲.创新驱动传统产业向战略性新兴产业转型升级:机理与路径[J].经济体制改革,2013,31(5):97-101.
[29] 罗天正,关皓.政治关联、营商环境与企业创新投入——基于模糊集定性比较分析[J].云南财经大学学报,2020,36(1):67-77.
[30] 张亚璟.“新冠肺炎”对我国经济发展和税收的影响[J].山西财经大学学报,2020,42(S1):1-4.
[31] 陆琪.中国农村消费行为影响因素的实证研究[J].宏观经济研究,2022,44(1):115-129.
[32] WITT M A, FAINSHMIDT S, AGUILERA R V. Our board, our rules: nonconformity to global corporate governance norms[J]. Administrative Science Quarterly, 2022, 67(1):131-166.
[33] 李虹含，贺宁，汪存华，等.产业结构升级的创新驱动效应研究——基于中国省际面板数据的实证分析[J].科技进步与对策, 2020,37(15):54-61.
[34] 付凌晖.我国产业结构高级化与经济增长关系的实证研究[J].统计研究,2010,27(8):79-81.
[35] 徐秋艳,房胜飞,马琳琳.新型城镇化、产业结构升级与中国经济增长——基于空间溢出及门槛效应的实证研究[J].系统工程理论与实践,2019,39(6):1407-1418.
[36] 颜长春,张佳佳.产业转型升级视角下跨区域城市群协调发展水平测度[J].统计与决策,2021,37(19):106-110.
[37] 张秀峰,胡贝贝,张莹.自主创新示范区政策试点对国家高新区研发创新绩效的影响研究[J].科研管理,2020,41(11):25-34.
[38] 郭金花,郭檬楠,郭淑芬,等.中国创新政策试点能有效驱动企业创新吗——基于国家自主创新示范区建设的经验证据[J].产业经济研究,2021,20(2):56-70.
[39] STAV FAINSHMIDTA, LUCAS WENGERA, AMIR PEZESHKANB, et al.When do dynamic capabilities lead to competitive advantage?the importance of strategic fit[J].Journal of Management Studies,2019,56(4):758-787.
[40] 杜运周,刘秋辰,程建青.什么样的营商环境生态产生城市高创业活跃度——基于制度组态的分析[J].管理世界,2020,36(9):141-155.
[41] SCHNEIDER C Q, WAGEMANN C. Set-theoretic methods for the social sciences: a guide to qualitative comparative analysis[M]. Cambridge: Cambridge University Press, 2012.
[42] 张明,杜运周.组织与管理研究中QCA方法的应用:定位、策略和方向[J].管理学报,2019,16(9):1312-1323.
[43] 卫栎,陈伟.国家自主创新示范区高质量发展的问题与重要举措[J].科学管理研究,2020,38(1):2-7.
[44] RIHOUX D B, RAGIN C C. Configurational comparative methods: Qualitative Comparative Analysis (QCA) and related techniques[M].Thousand Oaks, CA:Sage, 2009.
[45] 张明,陈伟宏,蓝海林.中国企业“凭什么”完全并购境外高新技术企业——基于94个案例的模糊集定性比较分析(fsQCA)[J]. 中国工业经济,2019,36(4):117-135.
|
|
|
|
