Research on the Two-Way Embedding of Industrial Chain and Innovation Chain in Guangxi Based on the TOPSIS Model

DOI: https://doi.org/10.62517/jmsd.202512124

Author(s)

Yongyi Shen1, Xin Su1,*, Yue Zhao1, Siyu Wu2

Affiliation(s)

1School of Business, Guilin University of Electronic Technology, Guilin, Guangxi, China 2Guangzhou Petroleum Training Center Co., Ltd, Guangzhou, Guangdong, China *Corresponding Author.

Abstract

Based on the theories of industrial value chain and network embeddedness, this paper takes Guangxi as an example and uses the entropy-weighted TOPSIS model to measure the two-way embedding level of the industrial chain and innovation chain in 14 prefecture-level cities from 2017 to 2023.Combined with the geographical detector, the spatial-temporal differentiation mechanisms are analyzed. The results show that the dual-chain embedding presents a three-tier gradient pattern led by Nanning and Liuzhou, with regional synergy constrained by the imbalance of innovation resource allocation and barriers to factor flow. The time-series dimension exhibits a fluctuating curve of "rise-sharp decline-recovery," where demand-embedded elements have the strongest explanatory power for spatial heterogeneity and exhibit a nonlinear enhancement effect. The study reveals the unique patterns of dual-chain synergy in Guangxi and proposes pathways for upgrading strategic awareness, optimizing market mechanisms, and cultivating technological potential, providing theoretical support for breaking the inefficient lock-in of regional innovation and fostering new quality productivity.

Keywords

Industrial Chain; Innovation Chain; Two-Way Embedding; TOPSIS Model; Geographical Detector

References

[1]Smith, A. An Inquiry into the Nature and Causes of the Wealth of Nations. Beijing: The Commercial Press,1972:7-22. [2]Hirschman, A.O. The Strategy of Economic Development. London: Yale University Press,1958:1331-1424. [3]You Zhenhua, Li Yanjun. A Brief Analysis of the Concept of Industrial Chain and Its Formation Driving Factors. East China Economic Management,2011,25(1):100-103. [4]Lin Miao, Su Jun, Zhang Yaxian, et al. Technology Chain, Industrial Chain, and Technological Innovation Chain: Theoretical Analysis and Policy Implications. Studies in Science of Science, 2001, (4):28-31+36. [5]Yu Yihong. Types of Industrial Chains and Efficiency Benchmarks. China Industrial Economics, 2005, (11):35-42. [6]Wang Shuo, Zhu Chunyan. Building China-led International Industrial Chains: Models and Mechanisms. Scientific Management Research, 2021, 39(6):156-161. [7]Chesbrough, H.W. Open Innovation: The New Imperative for Creating and Profiting from Technology.Boston: Harvard Business School Press,2006. [8]Wu Xiaobo, Wu Dong. On the System Evolution of Innovation Chains and Its Policy Implications. Studies in Dialectics of Nature,2008,24(12):58-62. [9]Li Xiaofeng. Theoretical Research on the Integration of "Four Chains" to Enhance the Energy Level of Innovation Ecosystems. Science Research Management, 2018, 39(9):113-120. [10]Cai Xiang. Innovation, Innovation Clusters, and Innovation Chains: Implications. R&D Management, 2002, (6):35-39. [11]Li Ting, Deng Xuelai, Xu Zhiyun. Research on Policies for Innovation-oriented Enterprises Based on Innovation Chains.Forum on Science and Technology in China, 2015, (10):63-68. [12]Yin Ali, Zhao Huan, Xu Xuanguo. Two-way Embedding: A New Perspective on Understanding the Development Path of Social Work in China. Social Work,2016,(3):47-55. [13]Wang Chao, Wang Peigang, Lu Zuxun. Healthy China and Common Prosperity: Two-way Embedding and Two-way Empowerment. Chinese Journal of Health Policy,2023,16(8):1-7. [14]Zeng Xiangyan, Liu Youjin. Collaborative Innovation Based on Value Innovation Chains: Three-stage Evolution and Its Role. Science & Technology Progress and Policy, 2013, 30(20):20-24. [15]Tan Jinsong, Song Juan, Chen Xiaohong. The Formation and Evolution of Industrial Innovation Ecosystems: The Change of "Architects" and Their Strategic Behaviors. Management World,2021,37(9):167-191. [16]Han Jiangbo. Research on the Integration of Innovation Chains and Industrial Chains: Theoretical Logic and Mechanism Design. Technoeconomics & Management Research, 2017, (12):32-36. [17]Nie Libing, Lai Xiuping, Zhou Qing, et al. Theoretical Logic and Implementation Path of Technology Standards Driving the Integration of Dual Chains. Studies in Science of Science,1-15[2025-01-30]. [18]Zhang Jin, Wan Jinbo. Theoretical Analysis and Practical Requirements for Promoting the Deep Integration of Innovation Chains, Industrial Chains, Capital Chains, and Talent Chains. People's Tribune Academic Frontiers, 2024, (20):50-58. [19]Zhang Qizi. Research on the Path to Enhance the Modernization Level of Industrial and Supply Chains. China Industrial Economics, 2021, (2):80-97. [20]Dai Jianping, Luo Wenping. Development Strategies for China's Advanced Manufacturing Clusters from the Perspective of Collaborative Innovation:An Empirical Study Based on Changzhou's Advanced Manufacturing Clusters. China Business and Market,2021,35(1):79-88. [21]Sun Tao. Research on the Efficiency Evaluation of Scientific and Technological Achievements Transformation in China's Old Industrial Bases: A Case Study of Northeast China. China Soft Science, 2020,(1):164-170. [22]Liu Xiaohua, Gao Shanxing. The Impact Mechanism of Institutional Elements on Breakthrough Innovation in Complex Institutional Environments. Science of Science and Management of S.&T.,2020,41(11):117-131. [23]Li Wuyan, Zhou Yidian. Industrial Agglomeration, Spatial Spillover, and Regional Innovation Efficiency: A Case Study of the Yangtze River Economic Belt. Technology Economics,2022,41(8):11-22. [24]Liang Benbu, Xie Kefan, Chen Hanmei, et al. Research on Two-way Embedding of Innovation Chains and Industrial Chains: Based on Provincial Sample Data in China. Technology Economics, 2023,42(10):26-37. [25]Wang Guomeng, Zhang Mengsi, Zhao Shuming, et al. Personalized Contracts and Core Employees' Pro-organizational Unethical Behavior: A Social Cognitive Theory Perspective. Journal of Industrial Engineering and Engineering Management, 2020, 34(4):44-51. [26]Song Y., Su Q., Liu Q., et al. Impact of Business Relationship Functions on Relationship Quality and Buyer’s Performance. Journal of Business & Industrial Marketing, 2012,27(4):286-298. [27]Yang B.X., Li X.G., Kou K., 2022.Research on the Influence of Network Embeddedness on Innovation Performance: Evidence from China’s Listed Firms. Journal of Innovation & Knowledge,7(3):100210. [28]Zhang Yufei, Yuan Changhong. Research on the Evolution of Deep Integration of Industry-University-Research to Breakthrough Key Core Technologies. Studies in Science of Science,2022,40(5):852-862. [29]Zheng Jing, Yu Hao, Huang Senwei. Evaluation of Ecological Environment Carrying Capacity and Obstacle Factors in Fujian Province Based on DPSIR-TOPSIS Model. Acta Scientiae Circumstantiae, 2017, 37(11):4391-4398. [30]Lei Xunping, Robin Qiu, Liu Yong. Performance Evaluation of Regional Land Use and Diagnosis of Obstacle Factors Based on Entropy-weighted TOPSIS Model. Transactions of the Chinese Society of Agricultural Engineering, 2016,32(13):243-253. [31]Gao Lei, Xi Yongqin. Evaluation of Industrial Technology Innovation Capability in Fujian Province Based on Entropy-weighted TOPSIS Method. Science Technology and Industry,2012,12(12):92-96. [32]Yang Xiumin, Geng Jing, Xu You, et al. Spatiotemporal Changes and Obstacle Degree Diagnosis of Land Comprehensive Carrying Capacity in Hainan Island Based on TOPSIS Model. Acta Ecologica Sinica, 2022, 42(22):9324-9334. [33]Wang Jinfeng, Xu Chengdong. Geographical Detector: Principles and Prospects. Acta Geographica Sinica,2017,72(1):116-134. [34]Wang Qi, Huang Guomin, Lu Enqi, et al. Research on Spatiotemporal Characteristics and Influencing Factors of Tourism Ecological Security Based on Geographical Detector. Journal of Northeast Normal University(Natural Science Edition), 2024, 56(4):133-143. [35]Wang Yudong, Zhang Bo,Wu Chuan, et al. Research on the Measurement of Synergy between Innovation Chains and Capital Chains in High-tech Industries: Based on Composite System Synergy Model. Science & Technology Progress and Policy, 2019, 36(23):63-68. [36]Liu Xielin, Zhu Langmei. The Evolution Dynamics of Total Factor Productivity in Regional Innovation in China: Catching Up or Falling Behind? Science of Science and Management of S.&T.,2021,42(12):99-112. [37]Ma Xiao. Evaluation of Regional Economic Synergy in Beijing-Tianjin-Hebei Based on Composite System Synergy Model. Industrial Technology Economics, 2019, 38(5):121-126. [38]Li Genqiang, Pan Wenqing. How Domestic Value Chains Embed in Global Value Chains: A Value-added Perspective. Management World,2016,(7):10-22+187. [39]Liu Jiashu, Shi Hongbo, Qi Xin. Research on the Path of Integration of Innovation Chains and Capital Chains: Configuration Analysis Based on the Symbiosis Theory Framework of Regional Innovation Ecosystems. Scientific Management Research,2022,40(1):153-161. [40]Li Feng, Li Mingxiang, Zhang Yujing. Empirical Analysis of Technological Innovation, Industrial Structure Upgrading, and Economic Development. Technology Economics, 2021, 40(7):1-10.