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Academic Journal of Business & Management, 2023, 5(1); doi: 10.25236/AJBM.2023.050117.

Innovation efficiency analysis of capital intensive manufacturing industry based on DEA and Malmquist index--Take Shaanxi Province as an example

Author(s)

Zhang Linxin

Corresponding Author:
Zhang Linxin
Affiliation(s)

Xi’an University of Posts & Telecommunications, Xi’an, China

Abstract

The innovation development of capital intensive manufacturing industry is an important driving force to promote the transformation of manufacturing industry in Shaanxi Province. In this paper, DEAP2.1 software and DEA-Malmquist model are used to make static analysis of innovation efficiency, pure technology efficiency and scale efficiency of five major capital-intensive sub-industries in Shaanxi Province during 2015-2020 from static and dynamic perspectives. And the dynamic analysis of efficiency change, technology change and their product total factor productivity of five major sub-industries is carried out to get the decomposition of capital intensive manufacturing industry in different industries and time in Shaanxi Province. Therefore, the research conclusion is drawn: the comprehensive innovation efficiency of capital intensive manufacturing industry in Shaanxi province is low, the innovation level is not high, and the scale efficiency value is low. The change of pure technical efficiency has a significant impact on the change of total factor productivity. Therefore, in order to improve the value of total factor productivity, theoretically speaking, we should always pay attention to the fluctuation of pure technical efficiency, and put forward suggestions for the development of capital intensive manufacturing industry in Shaanxi Province from the aspects of talent, technological innovation and resource allocation.

Keywords

DEA; Malmquist index; Innovation efficiency

Cite This Paper

Zhang Linxin. Innovation efficiency analysis of capital intensive manufacturing industry based on DEA and Malmquist index--Take Shaanxi Province as an example. Academic Journal of Business & Management (2023) Vol. 5, Issue 1: 118-126. https://doi.org/10.25236/AJBM.2023.050117.

References

[1] Georgia Makri. Measuring the efficiency of energy-intensive industries across European countries [J]. Energy Policy. Volume 88, 2016. 573-583

[2] Diaz Ricardo F. Non-Parametric Analysis of Efficiency: An Application to the Pharmaceutical Industry [J]. Mathematics. Volume 8, Issue 9. 2020. 1522-1522

[3] Fu S. Analysis of Total Factor Productivity of Manufacturing industry in Ningxia based on DEA-Malmquist index method [J]. Science and Technology Industries, 2020, 20 (12):1 -- 7

[4] ZHANG Qiqi, Research on innovation efficiency of Chinese pharmaceutical manufacturing industry [J]. Chinese Journal of New Medicine, 2021, 30 (18) :1633-1637.

[5] Wang Xue, Empirical Research on Investment Effectiveness of real estate development Enterprises in Chongqing Based on DEA Method [J]. Investment and Cooperation. 2021, (09) : 79-80.

[6] Wang Qi, Research on Supply chain finance Efficiency of new energy automobile industry based on three-stage DEA model [J]. Hebei Enterprises, 2021, (10): 106-109

[7] Gu S X, Analysis of agricultural water resources utilization efficiency based on DEA and Malmquist index: A case study of the affected areas in central Yunnan [J]. China Rural Water and Hydropower, 2021, (08): 98-102

[8] Yang Yang. Research on innovation efficiency of Chongqing high-tech Industry from the perspective of innovation value chain: Based on three-stage Chain network DEA model [J]. Coastal enterprises and Science and Technology. 2020, (06):3-8

[9] Shi W. Research on Financing Efficiency of Manufacturing industry in Southern Jiangsu Based on DEA-Malmquist Index [J]. Modern Business. 2021,(23):82-84