Research on the path of technological innovation and resource allocation optimization of state-owned enterprises from the perspective of ecological environment and biomechanics
Abstract
In the evolving global landscape, competition among nations has increasingly centered on the allocation of innovation resources, which are crucial for enterprises to implement development strategies under supply-side reforms. The efficiency and rationality of resource allocation directly affect the innovation capacity and operational performance of enterprises. This paper examines the relationship between technological innovation and resource allocation in state-owned enterprises through the lens of the ecological environment, employing data from multiple sources and utilizing the Data Envelopment Analysis (DEA) model to assess resource allocation efficiency. The study reveals that the proportion of R&D personnel invested in enterprises in China increased significantly from 46.35% to 73.38%, while the proportion in research institutions and universities declined to 11.48% and 11.36%, respectively. These shifts underscore the growing dominance of state-owned enterprises in driving technological innovation. The findings highlight that aligning technological innovation mechanisms with ecological sustainability not only enhances innovation capabilities and competitiveness but also accelerates industrial development and contributes to the sustainable growth of the national economy.
References
1. Genin AL, Tan J, Song J. State governance and technological innovation in emerging economies: State-owned enterprise restructuration and institutional logic dissonance in China’s high-speed train sector. Journal of International Business Studies. 2021; 52(4): 621-645.
2. Lo D, Gao L, Lin, Y. State ownership and innovations: Lessons from the mixed-ownership reforms of China's listed companies. Structural Change and Economic Dynamics. 2022; 60: 302-314.
3. Feng GF, Zheng M, Wen J, Chang CP, Chen YE. The assessment of globalization on innovation in Chinese manufacturing firms. Structural Change and Economic Dynamics. 2019; 50: 190-202.
4. Li L, Sarkar A, Zhou X, Ding X, & Li, H. Influence and action mechanisms of governmental relations embeddedness for fostering green production demonstration household: evidence from Shaanxi, Sichuan, and Anhui Province, China. International Journal of Environmental Research and Public Health. 2022; 19(19), 11923.
5. Presenza A, Abbate T, Meleddu, M., & Cesaroni, F. Small-and medium-scale Italian winemaking companies facing the open innovation challenge. International Small Business Journal. 2017; 35(3), 327-348.
6. Xie J, Ma H. Application of improved APO algorithm in vulnerability assessment and reconstruction of microgrid. In IOP Conference Series: Earth and Environmental Science (Vol. 108, p. 052109). IOP Publishing. 2018.
7. Ye Q. Cheng C. Green technological innovation efficiency and financial ecological environment. Open Journal of Social Sciences. 2019; 7(12), 132-151.
8. Li Y, Cui C, Liu S. Financial ecological environment, enterprise risk commitment and innovation efficiency--an empirical analysis of manufacturing based on panel VAR. Journal of Industrial Technological Economics. 2019; (7), 76-87.
9. Ma H, Li L. Could environmental regulation promote the technological innovation of China's emerging marine enterprises? Based on the moderating effect of government grants. Environmental research. 2021; 202, 111682.
10. Wang R. New Private Law? Intellectual Property” Common-Law Precedents” in China. UMKC L. Rev. 2020; 89, 353.
11. Huang C, Li XF, You Z. The impacts of urban manufacturing agglomeration on the quality of water ecological environment downstream of the three gorges dam. Frontiers in Ecology and Evolution. 2021; 8, 612883.
12. Huang W, Chen S, Zhang X, Zhao X. The sustainable development of Forest food. Sustainability. 2022; 14(20), 13092.
13. Zhou, R., Rashid, S. M., & Cheng, S. Entrepreneurship education in Chinese higher institutions: Challenges and strategies for vocational colleges. Cogent Education. 2024; 11(1), 2375080.
14. Nazarenko O, Zhou K, Nazarenko I, Harkusha, S. Impact of transparent economy on high-tech enterprises in the modern business environment of China. Problems and Perspectives in Management. 2024; 22(3), 491.
15. Hu Y, Jia Q, Yao Y, et al. Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review. IEEE Internet of Things Journal. 2024.
16. Kogan L, Papanikolaou D, Seru A, Stoffman, N. Technological innovation, resource allocation, and growth. The quarterly journal of economics. 2017; 132(2), 665-712.
17. Fang S, Xue X, Yin G, et al. Evaluation and improvement of technological innovation efficiency of new energy vehicle enterprises in China based on DEA-Tobit model. Sustainability. 2020; 12(18), 7509.
18. Ma T, Liu C. Identification of Driving Factors of Scientific and Technological Innovation in the New Material Industry Based on the Theory of Complex Adaptive System: Taking the Construction of Green Innovation System as an Example. Complexity, 2021(1), 5537789.
19. Wang Q, Chen Y, Guan H, et al. Technological innovation efficiency in China: Dynamic evaluation and driving factors. Sustainability. 2022; 14(14), 8321.
20. von Struensee, S. Eye on Developments in Artificial Intelligence and Children's Rights: Artificial Intelligence in Education (AIEd), EdTech, Surveillance, and Harmful Content. EdTech, Surveillance, and Harmful Content (June 4, 2021).
21. Liao KC, Yue MY, Sun SW, et al. An evaluation of coupling coordination between tourism and finance. Sustainability. 2018; 10(7), 2320.
22. Yang L, Tan X, Tan G. Economic policy uncertainty and common prosperity within the enterprise: Evidence from the Chinese market. PloS one. 2024; 19(10), e0309370.
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