Abstract
Forestry is an important part of our national economy. In order to improve the technological innovation capability of the forestry industry, based on relevant research, a four-dimensional forestry industry technological innovation capability index system has been established, including the forestry industry technological innovation resource utilization capability, the forestry industry market innovation capability, the forestry technological innovation support capability and the forestry industry management Creativity. Through the entropy method and TOPSIS method, the forestry industry of 29 provinces in my country was evaluated statically and dynamically. The results show that Guangdong, Sichuan, and Zhejiang have the relatively high static capacity for forestry industry technology innovation; the contribution of the growth rate of total forestry output value, timber sales in state-owned forest areas, the number of college graduates, and the number of school faculty and staff to the forestry industry’s technological innovation capacity Relatively weak, it cannot be a major factor in increasing the overall growth rate of the forestry industry.
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References
Chen, C.B.: Measurement and analysis of the degree of industrial technology innovation in my country. Economic Aspects 6, 76–87 (2019)
Chen, B.M.: Research on my country’s industrial technology innovation capability evaluation index system. Sci Technol Ind 6(11), 22–25 (2006)
Fu, Y.: Technological innovation is the core power of sustainable development of forestry economy. Dev Res 143(S1), 133–135 (2009)
Zhang, S.P., Zhu, H.G.: The spatial impact mechanism of China’s forestry industry development——a spatial econometric analysis based on panel data of 31 provinces. World For Res 32(2), 61–66 (2019)
Zeng, Z.N.: Research on the evaluation index system of technological innovation capability of high-tech industry. Journal of Xi’an Shiyou University (Social Science Edition) 23(1), 6–10 (2014)
Chen, Y., Tan, C.F.: Research on the evaluation index system of technological innovation capability of small and medium-sized technological SMEs. Science and Technology Progress and Policy 29(2), 110–112 (2012)
Du, Y.W., Wan, Z.F.: Research on the path choice of forestry industry transformation in state-owned forest regions of heilongjiang province. Issues of Forestry Economics 39(03), 25–33 (2019)
Wan, Z.F., Ma, X.L.: Dynamic evaluation of technical innovation ability of wood industry based on entropy method. Stat Decis 541(01), 74–78 (2020)
Ye, B.Q., Wei, W.: Research on the influencing factors of technological innovation capability of high-tech industries in the three northeast provinces based on PLS. Journal of Harbin University of Commerce (Social Science Edition) 3, 122–128 (2015)
Wang, G., Chen, W.: measurement of forestry industry competitiveness based on entropy-topsis. Stat Decis 534(18), 57–60 (2019)
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Lu, S. (2022). Research on the Evaluation of Forestry Industry Technological Innovation Ability Based on Entropy TOPSIS Method. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_64
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DOI: https://doi.org/10.1007/978-3-030-92632-8_64
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