|
|
Synergistic Effect and Spatial Distribution of Ecological Environment of Science and Technology Entrepreneurship Incubation in China |
Tian Xuejiao1,Yang Wu2,Sun Shouheng2,3 |
(1.School of Applied Science and Technology, Beijing Union University, Beijing 100101,China;2.School of Economics and management, University of Science and Technology Beijing, Beijing 100083,China;3.Department of Economic and Administrative Sciences, Quebec University, Quebec G7H2B1, Canada) |
|
|
Abstract The level of coordinated development among various environmental subsystems within the science and technology entrepreneurship incubation ecosystem has a crucial impact on entrepreneurial activities. In China, the development of the eco-environment for science and technology entrepreneurship incubation presents obvious temporal and spatial heterogeneity due to great differences in the economic levels and entrepreneurial policy support of different provinces. Regional science and technology entrepreneurship incubation eco-environment depends on the organic and efficient coordinated development of each subsystem in the ecosystem, therefore it is necessary to study the coordinated development level of the science and technology entrepreneurship incubation eco-environment in different provinces so that we can grasp the synergy status and dynamic trends and explore the development differences of the science and technology entrepreneurship incubation eco-environment development in different provinces, and provide a quantitative basis for in-depth research on entrepreneurial behavior. This is of great significance for improving the theory of science and technology entrepreneurship incubation and promoting the development of regional science and technology entrepreneurship.#br# Based on the panel data of 27 provinces in China from 2013 to 2019, this paper examines the dynamic synergistic effect of the development of the eco-environment for science and technology entrepreneurship incubation in different provinces and also conducts an in-depth discussion on the evolution of the spatial pattern. This study takes 27 provinces (cities, autonomous regions, and municipalities directly under the Central Government) in China as the research units, and employs the entropy weight—TOPSIS—coupling coordination degree model to quantitatively evaluate the dynamic synergistic effect of the ecological environment development of science and technology entrepreneurship incubation in different provinces from 2013 to 2019. Then, based on Theil coefficient and difference coefficient method, this paper analyzes the difference of coordination level of technological entrepreneurship incubation ecological environment development among provinces, divides the coordination level of each province into types, and reveals its spatio-temporal evolution characteristics. Finally, ArcGIS software is used to draw the spatial pattern distribution map of the collaborative development level of the eco-environment of science and technology entrepreneurship incubation in China.#br# The results show that most provinces in China have a low level of collaborative development of science and technology entrepreneurship incubation ecological environment, and only a few provinces have achieved good synergy. There is a great disparity between the average level of the lower provinces and other provinces, and it implies a serious imbalance in the cooperative development of the eco-environment of science and technology entrepreneurship incubation in China. The coordinated development level of provincial science and technology entrepreneurship incubation ecological environment presents the distribution characteristics of gradual decline from east to middle and from west to northeast, with a certain spatial agglomeration effect.〖HJ*2/7〗#br# This paper contributes to the study of science and technology entrepreneurship from the unique perspective of entrepreneurial incubation and evaluates the synergy effect of the ecological environment subsystems of technology entrepreneurship incubation in different provinces from an empirical point of view. It provides a theoretical basis for the authorities as how to clarify the development status and existing obstacles of the science and technology entrepreneurship incubation environment in different provinces. First of all, from the perspective of top-level design, it is necessary to focus on forming a sound science and technology entrepreneurship incubation ecological network paradigm with government policies as the leading factor, technology start-up enterprises and incubation organizations as the core with the efficient and coordinated development of incubation ecological environment subsystems. Secondly, authorities should pay more attention to the spatial agglomeration effect and spatial spillover effect of regions with a high level of eco-environmental synergy for science and technology entrepreneurship incubation. The government should formulate corresponding incentive policies for science and technology entrepreneurship and entrepreneurial incubation, actively guide the flow of science and technology entrepreneurship incubation resources to areas with low-level coordinated development of science and technology entrepreneurship incubation eco-environment, and form an integrated and interactive development pattern of regional synergy and provincial synergy. Finally, the exchanges and cooperation between neighboring regions should be further strengthened to promote the efficient flow and sharing of inter-regional and intra-regional science and technology incubation resources and information, so as to achieve the win-win cooperation between regional science and technology innovation and science and technology entrepreneurship.#br#
|
Received: 17 August 2021
|
|
|
|
|
[1] 杨武,田雪姣,李亚红. 中国创业孵化生态环境健康性评价研究[J]. 科技进步与对策, 2018, 35(8): 112-118.[2] 李华晶. 绿色创业生态系统的创新机理研究[J]. 东南学术, 2020,33(5):126-135.[3] 蔡莉,彭秀青,SATISH NAMBISAN,等. 创业生态系统研究回顾与展望[J]. 吉林大学社会科学学报, 2016, 56(1): 5-16.[4] 王海花,熊丽君,李玉.众创空间创业环境对新创企业绩效的影响[J].科学学研究,2020,38 (4): 673-684.[5] 张秀娥,王超.创新驱动下我国创业生态环境优化研究——基于GEM数据分析[J].经济问题探索,2018,39(5):45-52.[6] PHILIP-T ROUNDY, BRADSHAW MIKE, BROCKMAN BEVERLY-K. The emergence of entrepreneurial ecosystems:a complex adaptive systems approach[J]. Journal of Business Research, 2018, 86:1-10.[7] LAURENT SCARINGELLA, RADZIWON AGNIESZKA. Innovation, entrepreneurial, knowledge, and business ecosystems:old wine in new bottles[J]. Technological Forecasting and Social Change, 2018, 136: 59-87.[8] B COHEN. Sustainable valley entrepreneurial ecosystems[J]. Business Strategy and the Environme-nt, 2010, 15(1): 1-14.[9] D-J ISENBERG. How to start an entrepreneurial revolution[J].Harvard Business Review,2010, 88(6): 40-50.[10] 林嵩. 创业生态系统:概念发展与运行机制[J]. 中央财经大学学报, 2011,31(4): 58-62.[11] 项国鹏. 创新生态系统视角的企业核心技术突破机制——以华为基带芯片技术为例[J]. 技术经济与管理研究, 2020,41(10): 36-42.[12] 蔡莉,彭秀青,SATISH NAMBISAN,等. 创业生态系统研究回顾与展望[J]. 吉林大学社会科学学报, 2016, 56(1): 5-16.[13] ZHIMIN XIE, WANG XIA, XIE LINGMIN, et al. Entrepreneurial ecosystem and the quality and quantity of regional entrepreneurship: a configurational approach[J]. Journal of Business Research,2021,128:499-509.[14] 朱秀梅,林晓玥,王天东. 数字创业生态系统动态演进机理——基于杭州云栖小镇的案例研究[J]. 管理学报, 2020, 17(4): 487-497.[15] 李洪波,史欢. 基于扩展Logistic模型的创业生态系统共生演化研究[J]. 统计与决策, 2019, 35(21): 40-45.[16] P-T ROUNDY. Hybrid organizations and the logics of entrepreneurial ecosystems[J]. International Entrepreneurship & Management Journal, 2017, 13(4): 1-17.[17] B SPIGEL, HARRISON R. Toward a process theory of entrepreneurial ecosystems[J]. Strategic Entre-preneurship Journal, 2018,12(1):151-168.[18] T THOMPSON, PURDY J, VENTRESCA M-J. How entrepreneurial ecosystems take form: Evidence from social impact initiatives in Seattle[J]. Strategic Entrepreneurship Journal, 2018,12(1):96-116.[19] P-E AUERSWALD, DANI L. The adaptive life cycle of entrepreneurial ecosystems: the biotechnology cluster[J]. Small Business Economics, 2017, 49(1): 97-117.[20] 杜英,李睆玲. 基于子系统协同度评价的区域科技创新能力测度——以甘肃省为例[J]. 中国科技论坛, 2021,37(2): 91-99.[21] 谢智敏,王霞,杜运周,等.创业生态系统如何促进城市创业质量——基于模糊集定性比较分析[J].科学学与科学技术管理,2020,41(11):68-82.[22] 李晶.创业生态系统视角的区域创业环境形成机理研究——基于扎根理论的案例分析[J].苏州大学学报(哲学社会科学版),2019,40(2):90-98.[23] 齐玮娜,张耀辉.区域环境差异与创业质量的“马太效应”——基于动态面板模型的SYS-GMM检验[J].经济管理,2015,37(7):35-44.[24] 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.[25] 郭芸,范柏乃,龙剑.我国区域高质量发展的实际测度与时空演变特征研究[J].数量经济技术经济研究,2020,37(10):118-132.[26] 朱喜安,魏国栋.熵值法中无量纲化方法优良标准的探讨[J].统计与决策,2015,31(2):12-15.[27] 杨丽,孙之淳.基于熵值法的西部新型城镇化发展水平测评[J].经济问题,2015,37(3):115-119.[28] 项国鹏,高挺.中国省域创业生态系统动态协同效应研究[J].地理科学,2021,41(7):1178-1186. |
|
|
|