In recent years, Shandong Province government has strengthened the cultivation of high-tech enterprises, guided the increment, and expanded the enterprise group, but it still faces challenges such as insufficient innovation power, imperfect innovation ecology, and lack of core driving engine. Based on this situation, it is of great practical and theoretical significance to study the relationship between resources, government support behavior and achievements of high-tech enterprises in Shandong Province. This paper takes high-tech enterprises in Shandong Province as the research object. First, using cluster analysis method, according to different government support behavior, high-tech enterprises in Shandong Province are divided into 3 clusters, which are named as "active participation", "early support" and "independent" clusters, and the characteristics of each cluster are condensed. Secondly, the influence mechanism of high-tech enterprise resources on the output of high-tech enterprises in Shandong Province is accurately grasped through multiple regression analysis. Thirdly, the paper analyzes the difference of the influence of government support behavior on the output of high-tech enterprises by various resources in high-tech industry. Fourthly, based on the results of empirical analysis, this paper puts forward some measures to improve the human resources, R&D investment and technological competitiveness of high-tech enterprises in Shandong Province.

Xiu Li, Hongxia Dong. Research on the influence of resources on output of high-tech enterprises in Shandong Province—Based on the moderating effect of government support behavior. Academic Journal of Business & Management (2024) Vol. 6, Issue 7: 115-121. https://doi.org/10.25236/AJBM.2024.060716.

[1] Yu Ying, Zhang Dandan. The influence of financial subsidies and financial development on technological innovation: A study based on high-tech enterprises [J]. Sub National Fiscal Research, 2018, (07): 65-73.

[2] Zhou Yu, Yuan Xinrong. Effect of fiscal and tax incentives on technological innovation of enterprises: Based on tax reduction and fee reduction of high-tech enterprises [J/OL]. Journal of Shanxi Normal University (Social Science Edition), 1-11. [2023-12-27].

[3] Li Jingxun, Jin Ying. The impact of innovation orientation on dual innovation and innovation performance of high-tech firms [J]. Journal of Yanbian University (Social Sciences Edition), 2023, 56(06): 106-113+139-140. 

[4] Zhou Yuanyuan, Dong Ping, Lu Yuqi et al. Chinese urban innovation network based on listed high-tech enterprises and its influencing factors [J]. Economic Geography, 2023, 43(06): 145-155.  

[5] Zhang Hongxia, Lu Chengling. Research on financial performance evaluation of high-tech Enterprises based on entropy weight method—A case study of Wanrun Technology [J]. Friends of Accounting, 2023, (12): 80-88.

[6] Shen Yanan, Chen Jinpeng. Human capital heterogeneity and innovation performance of high-tech firms: a nonlinear test based on innovation behavior [J]. Journal of Shanxi University of Finance and Economics, 2019, 45(04): 112-126.

[7] Ma Weihua, Liu Shanmin, Ye Heng et al. Evaluation of implementation effect of innovation-driven development strategy: Evidence from high-tech enterprises [J]. Science and Technology Management Research, 2021, 41(17): 1-11.

[8] Liu Yun, Ma Zhiyun, Zhang Mengya, et al. Research on the impact of R&D input on firm performance: An empirical analysis of high-tech enterprises in Zhongguancun [J]. China Science and Technology Forum, 2020, (12): 67-75+85.

[9] Peng Ruohong, Cui Tengyu. Earnings management, government subsidies and R&D input of high-tech enterprises [J]. China Science and Technology Forum, 2020, (11): 100-109.

[10] Xiong Bo, Du Jiaqi. The influence of high-tech enterprise identification on Total factor productivity: An analysis based on Differential method [J]. Science & Technology Progress and Policy, 2020, 37(18): 133-142.

[11] Liang Xiaolin, Jiang Chunxia, Wang Yuan et al. Research on the relationship between financing constraints and firm performance in High-tech firms: The moderating effect of firm growth and the moderating mediating effect of technological innovation [J]. Friends of Accounting, 2019, (18): 79-85.

[12] Wang Shuang. Research on the evaluation system of knowledge management Model of high-tech enterprises under the background of innovation drive [J]. Journal of Theoretical Sciences, 2018, (04): 47-54.

[13] Li Xiuhua, Ge Changjuan, Guo Fengsheng, et al. Investigation and analysis of the status quo of high-tech enterprises in colleges and universities in Shandong Province [J]. Scientific Research Management, 1995, (01): 54-57.

[14] Zhao Xinhua. Research on insurance guarantee strategy of high-tech enterprises in Qingdao [J]. Science and Technology Management Research, 2013, 33(15): 42-45.

[15] Gao Yibing, Lin Pingfan. Comparative study on independent innovation capability and mechanism of high-tech enterprises in five coastal provinces and cities [J]. Science and Technology Management Research, 2007, (12): 1-3.