A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science

Peng Xiong; Lingli Qing

doi:doi:10.11648/j.ijebo.20210903.19

| Peer-Reviewed

A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science

Peng Xiong, Lingli Qing

Published in International Journal of Economic Behavior and Organization (Volume 9, Issue 3)

Received: 27 August 2021 Accepted: 8 September 2021 Published: 23 September 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Entrepreneurial activity is a typical complex social system with significant regional heterogeneity. Most of the existing studies focus on explaining a certain aspect of entrepreneurial activities or exploring the extent to which regional entrepreneurial activities promote regional economic growth. However, examining regional entrepreneurial activities from a systematic rather than fragmented perspective may be able to reflect their internal and external quality more comprehensively and accurately. The purpose of this paper is to study the key factors affecting the quality of entrepreneurial activities in large Chinese cities based on the theories of "Entrepreneurial Ecosystem" and "Complexity System", and put forward corresponding recommendation on policy design and policy implementation. Based on a systematic review of studies on city-level entrepreneurial ecosystems and the application of complexity science in entrepreneurial research, The Urban Entrepreneurship Ecosystem Index (UEEI) system is constructed, which consists of three dimensions of synergy, emergence and phase change, 10 first-level indicators and 40 second-level indicators. The cross-section data of 2018 are used to make quantitative analysis on China's top ten quasi-first-tier cities such as Wuhan and Chengdu. The results show that the urban entrepreneurial ecosystem is characterized by coordination, emergence and phase transformation, and the more balanced the three characteristics are, the higher the quality of the urban entrepreneurial ecosystem will be. In terms of specific indicators, employment, technological innovation and education are the key order parameters, and the performance of a key order parameter is particularly excellent, which is a common characteristic of high-quality urban entrepreneurial ecosystem.

Published in	International Journal of Economic Behavior and Organization (Volume 9, Issue 3)
DOI	10.11648/j.ijebo.20210903.19
Page(s)	109-120
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Entrepreneurial Activity, Entrepreneurial Ecosystem, Complexity Science

References

[1]	Zoltán J. Ács, László Szerb, Esteban Lafuente, Gábor Márkus. The Global Entrepreneurship Index (2019) [M]. The Global Entrepreneurship and Development Institute, 2019: 58-69.
[2]	Stam E. Handbook of research on innovation and entrepreneurship [M]. Cheltenham: Edward Elgar, 2011: 421–438.
[3]	Stam Erik, Van de Ven, Andrew. Entrepreneurial Ecosystem Elements. Small Business Economics [J]. 2019, (3): 173-197.
[4]	Xiaoqing X., Jingjing H. An Evaluation Analysis of Urban Entrepreneurship Environment Based on PSR Model: Case of Wuhan [J]. China Soft Science, 2017 (02): 172-182.
[5]	Rui W. Evaluation of Urban Entrepreneurial Environment in China Based on PSR Model——A Case Study of Four Municipalities [J]. Journal of Industrial Technological Economics, 2018, 37 (06): 92-99.
[6]	Hemmert, M., Cross, A. R., Cheng, Y. et al. The distinctiveness and diversity of entrepreneurial ecosystems in China, Japan, and South Korea: an exploratory analysis [J]. Asian Bus Manage. 2019, 18 (5): 211–247.
[7]	Audretsch, D. B., Belitski, M. Entrepreneurial ecosystems in cities: establishing the framework conditions [J]. J Technol Transf. 2017, 42 (4): 1030–1051.
[8]	European Commission. The Regional Entrepreneurship and Development Index - Measuring regional entrepreneurship [M], Publications Office of the European Union, 2014: 168-172.
[9]	Acs Z, Autio E, Szerb L. National systems of entrepreneurship: Measurement issues and policy implications [J]. Research Policy, 2014, 43 (3), 449–476.
[10]	Audretsch, D. B, Link, A. N. Concise guide to entrepreneurship, technology and innovation [M]. Chelterham: Edward Elgar, 2015: 321-325.
[11]	Estrin S, Korosteleva J, Mickiewicz T. Which institutions encourage entrepreneurial growth aspirations? [J]. Journal of Business Venturing. 2013, 28 (4), 564–580.
[12]	Stenholm, P., Acs, Z. J., & Wuebker, R. Exploring country-level institutional arrangements on the rate and type of entrepreneurial activity [J]. Journal of Business Venturing, 2013, 28 (1): 176–193.
[13]	Fritsch, M., & Storey, D. Entrepreneurship in a regional context—Historical roots and recent developments [J]. Regional Studies, 2014, 48 (5): 939–954.
[14]	Bosco, B. et al. Innovative startup creation: the effect of local factors and demographic characteristics of entrepreneurs [J]. International Entrepreneurship and Management Journal. 2019, 25 (12): 1-20.
[15]	Lichtenstein, B. The Sage handbook of complexity and management [M], London: Sage, 2011: 471–793.
[16]	Lindsay, V. J. The development of international industry clusters: A complexity theory approach [J]. Journal of International Entrepreneurship. 2005, 3 (1): 71–97.
[17]	Tan, J. Phase transitions and emergence of entrepreneurship: The transformation of Chinese SOEs over time [J]. Journal of Business Venturing. 2007, 22 (1): 77–96.
[18]	Stam, E. Entrepreneurial ecosystems and regional policy: A sympathetic critique [J]. European Planning Studies. 2015, 23 (9): 1759–1769.
[19]	Fuller T, Warren L, Argyle P. Sustaining entrepreneurial business: A complexity perspective on processes that produce emergent practice [J]. International Entrepreneurship and Management Journal. 2008, 4 (1), 1–17.
[20]	Swanson, L. A., & Zhang, D. D. Complexity theory and the social entrepreneurship zone [J]. Emergence: Complexity and Organization. 2011, 13 (3): 39–56.
[21]	Jianming G., Zhaogang S. On the Interrelation between Complexity and Non-linearity [J]. Journal of Systemic Dialectics, 2002 (04): 34-37.
[22]	Haimeng L., Chuanglin F., Peiji S. Mechanism of oasis urbanization: A theoretical framework based on complexity theory [J]. Geographical Research, 2016, 35 (02): 242-255.
[23]	Goldstein, J. A., Hazy, J. K., & Silberstang, J. Complexity and social entrepreneurship: A fortuitous meeting [J]. Emergence: Complexity and Organization. 2008, 10 (3): 9–24.
[24]	Chenglei X., Ding W., Wanchun D. Entrepreneurial Team Collaboration Clusters Complexity and Identify the Key Interface [J]. Science & Technology Progress and Policy, 2017, 34 (05): 148-155.
[25]	Jiacheng N. Research on the mechanism of market segmentation on technology entrepreneurship from the perspective of institutional complexity [D]. University of International Business and Economics, 2020.

Cite This Article

Plain Text BibTeX RIS

APA Style

Peng Xiong, Lingli Qing. (2021). A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science. International Journal of Economic Behavior and Organization, 9(3), 109-120. https://doi.org/10.11648/j.ijebo.20210903.19

Copy | Download

ACS Style

Peng Xiong; Lingli Qing. A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science. Int. J. Econ. Behav. Organ. 2021, 9(3), 109-120. doi: 10.11648/j.ijebo.20210903.19

Copy | Download

AMA Style

Peng Xiong, Lingli Qing. A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science. Int J Econ Behav Organ. 2021;9(3):109-120. doi: 10.11648/j.ijebo.20210903.19

Copy | Download

@article{10.11648/j.ijebo.20210903.19,
  author = {Peng Xiong and Lingli Qing},
  title = {A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science},
  journal = {International Journal of Economic Behavior and Organization},
  volume = {9},
  number = {3},
  pages = {109-120},
  doi = {10.11648/j.ijebo.20210903.19},
  url = {https://doi.org/10.11648/j.ijebo.20210903.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20210903.19},
  abstract = {Entrepreneurial activity is a typical complex social system with significant regional heterogeneity. Most of the existing studies focus on explaining a certain aspect of entrepreneurial activities or exploring the extent to which regional entrepreneurial activities promote regional economic growth. However, examining regional entrepreneurial activities from a systematic rather than fragmented perspective may be able to reflect their internal and external quality more comprehensively and accurately. The purpose of this paper is to study the key factors affecting the quality of entrepreneurial activities in large Chinese cities based on the theories of "Entrepreneurial Ecosystem" and "Complexity System", and put forward corresponding recommendation on policy design and policy implementation. Based on a systematic review of studies on city-level entrepreneurial ecosystems and the application of complexity science in entrepreneurial research, The Urban Entrepreneurship Ecosystem Index (UEEI) system is constructed, which consists of three dimensions of synergy, emergence and phase change, 10 first-level indicators and 40 second-level indicators. The cross-section data of 2018 are used to make quantitative analysis on China's top ten quasi-first-tier cities such as Wuhan and Chengdu. The results show that the urban entrepreneurial ecosystem is characterized by coordination, emergence and phase transformation, and the more balanced the three characteristics are, the higher the quality of the urban entrepreneurial ecosystem will be. In terms of specific indicators, employment, technological innovation and education are the key order parameters, and the performance of a key order parameter is particularly excellent, which is a common characteristic of high-quality urban entrepreneurial ecosystem.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science
AU  - Peng Xiong
AU  - Lingli Qing
Y1  - 2021/09/23
PY  - 2021
N1  - https://doi.org/10.11648/j.ijebo.20210903.19
DO  - 10.11648/j.ijebo.20210903.19
T2  - International Journal of Economic Behavior and Organization
JF  - International Journal of Economic Behavior and Organization
JO  - International Journal of Economic Behavior and Organization
SP  - 109
EP  - 120
PB  - Science Publishing Group
SN  - 2328-7616
UR  - https://doi.org/10.11648/j.ijebo.20210903.19
AB  - Entrepreneurial activity is a typical complex social system with significant regional heterogeneity. Most of the existing studies focus on explaining a certain aspect of entrepreneurial activities or exploring the extent to which regional entrepreneurial activities promote regional economic growth. However, examining regional entrepreneurial activities from a systematic rather than fragmented perspective may be able to reflect their internal and external quality more comprehensively and accurately. The purpose of this paper is to study the key factors affecting the quality of entrepreneurial activities in large Chinese cities based on the theories of "Entrepreneurial Ecosystem" and "Complexity System", and put forward corresponding recommendation on policy design and policy implementation. Based on a systematic review of studies on city-level entrepreneurial ecosystems and the application of complexity science in entrepreneurial research, The Urban Entrepreneurship Ecosystem Index (UEEI) system is constructed, which consists of three dimensions of synergy, emergence and phase change, 10 first-level indicators and 40 second-level indicators. The cross-section data of 2018 are used to make quantitative analysis on China's top ten quasi-first-tier cities such as Wuhan and Chengdu. The results show that the urban entrepreneurial ecosystem is characterized by coordination, emergence and phase transformation, and the more balanced the three characteristics are, the higher the quality of the urban entrepreneurial ecosystem will be. In terms of specific indicators, employment, technological innovation and education are the key order parameters, and the performance of a key order parameter is particularly excellent, which is a common characteristic of high-quality urban entrepreneurial ecosystem.
VL  - 9
IS  - 3
ER  -

Copy | Download

Author Information

Peng Xiong

Graduate School of Management of Technology, Pukyong National University, Busan, Korea
Lingli Qing

Graduate School of Management of Technology, Pukyong National University, Busan, Korea

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Peng Xiong, Lingli Qing. (2021). A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science. International Journal of Economic Behavior and Organization, 9(3), 109-120. https://doi.org/10.11648/j.ijebo.20210903.19

Copy | Download

ACS Style

Peng Xiong; Lingli Qing. A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science. Int. J. Econ. Behav. Organ. 2021, 9(3), 109-120. doi: 10.11648/j.ijebo.20210903.19

Copy | Download

AMA Style

Peng Xiong, Lingli Qing. A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science. Int J Econ Behav Organ. 2021;9(3):109-120. doi: 10.11648/j.ijebo.20210903.19

Copy | Download

@article{10.11648/j.ijebo.20210903.19,
  author = {Peng Xiong and Lingli Qing},
  title = {A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science},
  journal = {International Journal of Economic Behavior and Organization},
  volume = {9},
  number = {3},
  pages = {109-120},
  doi = {10.11648/j.ijebo.20210903.19},
  url = {https://doi.org/10.11648/j.ijebo.20210903.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20210903.19},
  abstract = {Entrepreneurial activity is a typical complex social system with significant regional heterogeneity. Most of the existing studies focus on explaining a certain aspect of entrepreneurial activities or exploring the extent to which regional entrepreneurial activities promote regional economic growth. However, examining regional entrepreneurial activities from a systematic rather than fragmented perspective may be able to reflect their internal and external quality more comprehensively and accurately. The purpose of this paper is to study the key factors affecting the quality of entrepreneurial activities in large Chinese cities based on the theories of "Entrepreneurial Ecosystem" and "Complexity System", and put forward corresponding recommendation on policy design and policy implementation. Based on a systematic review of studies on city-level entrepreneurial ecosystems and the application of complexity science in entrepreneurial research, The Urban Entrepreneurship Ecosystem Index (UEEI) system is constructed, which consists of three dimensions of synergy, emergence and phase change, 10 first-level indicators and 40 second-level indicators. The cross-section data of 2018 are used to make quantitative analysis on China's top ten quasi-first-tier cities such as Wuhan and Chengdu. The results show that the urban entrepreneurial ecosystem is characterized by coordination, emergence and phase transformation, and the more balanced the three characteristics are, the higher the quality of the urban entrepreneurial ecosystem will be. In terms of specific indicators, employment, technological innovation and education are the key order parameters, and the performance of a key order parameter is particularly excellent, which is a common characteristic of high-quality urban entrepreneurial ecosystem.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - A Study on the Evolution Characteristics and Key Drivers of Urban Entrepreneurial Ecosystem: From the Perspective of Complexity Science
AU  - Peng Xiong
AU  - Lingli Qing
Y1  - 2021/09/23
PY  - 2021
N1  - https://doi.org/10.11648/j.ijebo.20210903.19
DO  - 10.11648/j.ijebo.20210903.19
T2  - International Journal of Economic Behavior and Organization
JF  - International Journal of Economic Behavior and Organization
JO  - International Journal of Economic Behavior and Organization
SP  - 109
EP  - 120
PB  - Science Publishing Group
SN  - 2328-7616
UR  - https://doi.org/10.11648/j.ijebo.20210903.19
AB  - Entrepreneurial activity is a typical complex social system with significant regional heterogeneity. Most of the existing studies focus on explaining a certain aspect of entrepreneurial activities or exploring the extent to which regional entrepreneurial activities promote regional economic growth. However, examining regional entrepreneurial activities from a systematic rather than fragmented perspective may be able to reflect their internal and external quality more comprehensively and accurately. The purpose of this paper is to study the key factors affecting the quality of entrepreneurial activities in large Chinese cities based on the theories of "Entrepreneurial Ecosystem" and "Complexity System", and put forward corresponding recommendation on policy design and policy implementation. Based on a systematic review of studies on city-level entrepreneurial ecosystems and the application of complexity science in entrepreneurial research, The Urban Entrepreneurship Ecosystem Index (UEEI) system is constructed, which consists of three dimensions of synergy, emergence and phase change, 10 first-level indicators and 40 second-level indicators. The cross-section data of 2018 are used to make quantitative analysis on China's top ten quasi-first-tier cities such as Wuhan and Chengdu. The results show that the urban entrepreneurial ecosystem is characterized by coordination, emergence and phase transformation, and the more balanced the three characteristics are, the higher the quality of the urban entrepreneurial ecosystem will be. In terms of specific indicators, employment, technological innovation and education are the key order parameters, and the performance of a key order parameter is particularly excellent, which is a common characteristic of high-quality urban entrepreneurial ecosystem.
VL  - 9
IS  - 3
ER  -

Copy | Download