A DEA-MALMQUIST ANALYSIS OF MILITARY-CIVILIAN COLLABORATIVE INNOVATION EFFICIENCY
Volume 2, Issue 4, Pp 65-72, 2025
DOI: https://doi.org/10.61784/ssm3071
Author(s)
Miao Li1, LiJing Xie2*, Xue Yang2
Affiliation(s)
1School of Management, Xihua University, Chengdu 610039, Sichuan, China.
2Research Institute of International Economics and Management, Xihua University, Chengdu 610039, Sichuan, China.
Corresponding Author
LiJing Xie
ABSTRACT
Taking listed companies involved in civil-military integration (CMI) in Sichuan Province as the research sample, this paper constructs a multi-dimensional evaluation system comprising resource input, technological output, economic output, and strategic output. Notably, government subsidies are incorporated as an output indicator measuring the "strategic value" of enterprises. On this basis, the DEA-BCC model and Malmquist index model are employed to conduct static measurement and dynamic evolution analysis of the collaborative innovation efficiency of these enterprises from 2022 to 2024. The study finds that: the low scale efficiency of innovation in Sichuan's CMI enterprises is the main factor restricting the improvement of overall effectiveness, and there is significant efficiency differentiation within the industry, Total Factor Productivity (TFP) shows a slight overall upward trend but fluctuates significantly due to the external environment, presenting a non-equilibrium characteristic of being significantly driven by technological progress while lagging in management efficiency catch-up. The conclusions of this paper provide a reference for optimizing the allocation of regional civil-military integration resources.
KEYWORDS
Civil-military integration; Collaborative innovation; DEA-Malmquist model; Strategic value
CITE THIS PAPER
Miao Li, LiJing Xie, Xue Yang. A DEA-Malmquist analysis of military-civilian collaborative innovation efficiency. Social Science and Management. 2025, 2(4): 65-72. DOI: https://doi.org/10.61784/ssm3071.
REFERENCES
[1] Li X L, Wang Q J, Huang S. Research on the collaborative mechanism of technological innovation ecosystem in civil-military integration enterprises. Research on Financial and Economic Issues, 2021(12): 133-143.
[2] Lai Y, Li W L, Zhang H. Research on the construction of information platform based on civil-military integration ecosystem. Scientific Management Research, 2021, 39(05): 27-31.
[3] Sun Z B. Research on the evaluation index system of collaborative innovation efficiency of civil-military integration enterprises. Science & Technology Progress and Policy, 2023.
[4] Li N, Chen B. The impact of fiscal and tax policies on civil-military collaborative innovation: based on DEA-Tobit model. Science & Technology Progress and Policy, 2021, 38(11): 97-105.
[5] Chen X, Zhou K. Analysis of China's civil-military integration regional innovation efficiency and influencing factors. Shanghai Economic Research, 2019(09): 69-79.
[6] Tang Q Q, Luo D L. Empirical study on the motivation and effect of government subsidies: evidence from Chinese listed companies. Journal of Financial Research, 2007(06): 149-163.
[7] Kleer R. Government R&D subsidies as a signal for private investors. Research Policy, 2010, 39(10): 1361-1374.
[8] Feldman M P, Kelley M R. The ex ante assessment of knowledge spillovers: Government R&D policy, economic incentives and private firm behavior. Research Policy, 2006, 35(10): 1509-1521.
[9] Guo Y. Signaling mechanism of government innovation subsidy and corporate innovation. China Industrial Economics, 2018(09): 98-116.
[10] Peng X K, Tang F Y, Jing H. Analysis on influencing factors of technological innovation efficiency of civil-military integration enterprises in Sichuan Province. Modern Economic Information, 2019(06): 498.
[11] Wang D D. Research on efficiency measurement of collaborative innovation in civil-military integration enterprises. Nanjing University of Aeronautics and Astronautics, 2020.
[12] Xu X. Research on evaluation of technological innovation efficiency of civil-military integration enterprises. Harbin Engineering University, 2019.
[13] Sun Z Q, Li H H, Liu B L. Research on the impact of collaborative innovation efficiency on regional carbon emission reduction from the perspective of spatial correlation. Journal of Dalian University of Technology (Social Sciences), 2021, 42(5): 23-32.
[14] Guo S F, Zhang J. Comparison of scientific and technological innovation efficiency and input redundancy in 31 provinces and cities in China. Science Research Management, 2018, 39(4): 55-63.
[15] An J, He G, Ge S, et al. The impact of government green subsidies on corporate green innovation. Finance Research Letters, 2025, 71, 106378.
[16] Zhang W J. Research on the impact of government subsidies on total factor productivity of enterprises. Chongqing Technology and Business University, 2025.

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