The Influencing Factors of Financial Support Efficiency of New Generation High-Tech Industry in China: Evidence from Listed Companies — Oak Academic Publishing
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The Influencing Factors of Financial Support Efficiency of New Generation High-Tech Industry in China: Evidence from Listed Companies
School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, China
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Guizhou Institution for Technology Innovation & Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, China
1 School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, China
2 Guizhou Institution for Technology Innovation & Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, China
In order to improve the financial support efficiency of new generati on high-tech industry in China, from the perspective of the subject (enterprise) in which financial resources were invested, this paper selected 192 listed companies in quantum communication and artificial intelligence concept plates in Chinese stock market as samples. Based on the original data of 2015-2019, the influencing factors of financial support efficiency of new generation high-tech listed companies were then empirically analyzed by using DEA-BCC model and Tobit model. The results showed that the ownership concentration, executive compensation and regional digital inclusive finance level were main factors affecting the financial support efficiency of new generation high-tech listed companies, followed by the technological innovation capability and regional economic development level. However, the influence of growth and comprehensive leverage were limited, and the influence of profitability and capital structure were not obvious. Accordingly, the main countermeasures to improve the financial support efficiency of new generation high-tech industry were proposed, which included giving full play to the advantages and potential of digital inclusive finance, actively guiding enterprises to innovate management, improve quality and efficiency, etc.
KeywordsNew Generation High-Tech IndustryListed CompanyFinancial Support EfficiencyInfluencing FactorTobit Model
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
Bi, C., & Li, X. W. (2019). Research on Equity Financing Efficiency and Influencing Factors of New Third Board Enterprises. Communication of Finance and Accounting, No. 35, 31-34.
Canarella, G., & Gasparyan, A. (2008). New Insights into Executive Compensation and Firm Performance: Evidence from A Panel of “New Economy” Firms, 1996-2002. Managerial Finance, 34, 537-554. https://doi.org/10.1108/03074350810874064
Chemmanur, T. J., Krishnan, K., & Nandy, D. K. (2011). How Does Venture Capital Financing Improve Efficiency in Private Firms? A Look Beneath the Surface. Review of Finance Studies, 24, 4037-4090. https://doi.org/10.1093/rfs/hhr096
Chen, S., Zou, Z. M., & Liu, D. (2015). Effects of R&D Investment and Technology Innovation Capability Life Cycle on Firm Performance. Science & Technology Progress and Policy, 32, 72-78.
Chen, X. R., Han, J. W., Ren, A. H., & Sun, Z. Y. (2020). Financial Support Efficiency of Strategic Emerging Industries: An Empirical Study of 237 Listed Companies in Beijing-Tianjin-Hebei Region. Journal of Finance and Economics, No. 5, 81-88.
Engel, D., & Keilbach, M. (2007). Firm Level Implications of Early-stage Venture Capital Investment: An Empirical Investigation. Journal of Empirical Finance, 14, 150-167. https://doi.org/10.1016/j.jempfin.2006.03.004
Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46, 1251-1271. https://doi.org/10.2307/1913827
Huang, X. Y., & Wen, L. R. (2017). Research on the Efficiency and Influencing Factors of Financial Support for the Enterprises in Energy-saving and Environmental Protection Industry. Economy and Management, 31, 45-50.
Jiang, Y. (2020). Research on Financing Efficiency and Influencing Factors of Artificial Intelligence Industry Based on Super-SBM and Logit Model. Journal of Industrial Technological Economics, 39, 131-136.
Jin, H., & Huang, Y. (2018). An Analysis on Influencing Factors of Financing Efficiency of NEEQ Enterprises. Journal of Hangzhou Dianzi University (Social Sciences), 14, 24-29.
Kalwij, A. S. (2003). A Maximum Likelihood Estimator Based on First Differences for a Panel Data Tobit Model with Individual Specific Effects. Economics Letters, 81, 165-172. https://doi.org/10.1016/S0165-1765(03)00166-6
Kaplan, S. N. (1994). Top Executive Rewards and Firm Performance: A Comparison of Japan and the United States. Journal of Political Economy, 102, 510-546. https://doi.org/10.1086/261944
Kortum, S., & Lerner, J. (2000). Assessing the Contribution of Venture Capital to Innovation. Journal of Economics, 31, 674-692. https://doi.org/10.2307/2696354
Li, M., & Yang, Y. (2017). Research on Financial Support Efficiency and Influence Factors of Strategic Emerging Industries under the New Normal. Reform of Economic System, No. 1, 129-135.
Li, W. X., Zhang, D., & Zhou, B. C. (2015). Research on the Influencing Factors of Capital Market Financing Efficiency of Strategic Emerging Industries—Empirical Data from A-Share Market. Commercial Accounting, No. 23, 28-29.
Li, Y. P., Sun, H., & Zhang, Y. (2008). Executive Compensation Incentives, Strategic M & A and Corporate Performance—An Empirical Study from Chinese A-Share Listed Companies. Management World, No. 12, 177-179.
Li, Z. Q. (2000). Incentive Mechanism and Corporate Performance—An Empirical Study Based on Listed Companies. Accounting Research, No. 1, 24-30.
Liao, J. L., Hu, Y., & Xiang, H. J. (2020). Could Digital Financial Inclusion Alleviate the Financing Constraints of Enterprises? Based on the Regulating Effect of Corporate Social Responsibility. Journal of Yunnan University of Finance and Economics, 36, 73-87.
Liu, S. W., & Wan, D. Y. (2013). Executive Compensation Affects Firm Performance: The Empirical Comparative Study on State-Owned and Non-State-Owned Enterprises. China Soft Science, No. 2, 90-101.
Lu, X. J., & Zhang, X. R. (2021). Information Capital, Technological Innovation Capability and Enterprise Performance. Friends of Accounting, No. 9, 64-70.
Ma, J. W. (2013). Research on the Differences of Financial Support Efficiency of Seven Strategic Emerging Industries in China and Its Influencing Factors—Based on the Empirical Evidence of Listed Companies. Reform of Economic System, No. 3, 133-137.
Ma, J. W., & Wang, J. H. (2016). Efficiency Evaluation and Influencing Factors in Financial Support of Strategic Emerging Industries in Jiangsu Province. Forum on Science and Technology in China, No. 8, 31-37.
Main, B. G. M. (1991). Top Executive Pay and Performance. Managerial and Decision Economics, 12, 219-229. https://doi.org/10.1002/mde.4090120304
Ren, X. Y. (2020). Can the Development of Digital Inclusive Finance Ease the Financing Constraints of Enterprises? Modern Economic Research, No. 10, 65-75.
Shi, J. Y., Guo, S. C., Zhang, Q. W., & Chen, T. T. (2019). Executive Compensation, Mandatory Turnover and Corporate Performance. East China Economic Management, 33, 54-62.
Sigler, K. J. (2011). CEO Compensation and Company Performance. Business and Economics Journal, 31, 1-8.
Tang, Y., Zhang, H. Q., Li, P., & Guo, Y. J. (2014). An Empirical Analysis of Social Capital, Enterprise Technological Innovation Ability and Enterprise Performance. Statistics & Decision, No. 16, 102-104.
Wang, S. H. (2016). Analysis on Financial Support Efficiency of Strategic Emerging Industries—An Empirical Study Based on Listed Companies in Gansu Province. Journal of Commercial Economics, No. 24, 170-172.
Wang, T. N., & Tu, Y. M. (2012). Influence of Technology Innovation Capability on Enterprise’s Performance under Regulation of Management Innovation Capability. Technology Economics, 31, 25-32.
Wei, G. (2000). Incentives for Top-Management and Performance of Listed Companies. Economic Research Journal, No. 3, 32-39+64-80.
Wu, L., Li, Y. L., & Hua, R. (2016). Research on the Efficiency of Financial Support for the Development of China’s High-Tech Industry Based on DEA Two-Stage Model. Review of Economic Research, No. 67, 63-68.
Wu, N., & Yao, J. Z. (2015). Research on the Impact of Corporate Capital Structure on Financing Efficiency—Based on the Empirical Data of Biomedical Industry. Communication of Finance and Accounting, No. 2, 38-40.
Xie, T. T., & Ma, J. (2016). Research on Financing Efficiency and Its Influencing Factors of Listed Companies in Energy Conservation and Environmental Protection Industry in Western China. Finance and Accounting Monthly, No. 24, 79-84.
Xiong, Z. D., & Lin, X. (2010). Research on the Efficiency and Its Factors of Financial Support about Listed Companies in Strategic Emerging Industry. Economic Management Journal, 32, 26-33.
Xiong, Z. D., Zhan, B., & Lin, X. (2011). The Efficiency of Financial Support about Strategic Emerging Industry Based on DEA and Logit Model. Systems Engineering, 29, 35-41.
Yu, B., & Ye, J. (2020). The Mystery of the Decline of Enterprise Profit Margin and the Rise of Financial Leverage Ratio. Jiangxi Social Sciences, 40, 60-74.
Yu, P., & Dou, J. X. (2020). Does the Development of Digital Inclusive Finance Ease the Financing Constraints of SMEs. Finance and Accounting Monthly, No. 3, 140-146.
Zeng, G., & Geng, C. X. (2019). Empirical Study of Measurement of Financing Efficiency and Influencing Factors of Listed Companies in Strategic Emerging Industries: Based on Super SBM-Logit Model. Science and Technology Management Research, 39, 135-143.
Zeng, H. H., & Shao, X. J. (2018). The Measurement of Operating Leverage and Operational Risk. Finance and Accounting Monthly, No. 23, 63-69.
Zhai, H. Y. (2012). Financial Support Efficiency of Listed Companies in the Strategic Emerging Industries. Securities Market Herald, No. 11, 20-25.
Zhou, L. L. (2018). Marketing Investment, Financial Leverage and Enterprise Performance. Communication of Finance and Accounting, No. 2, 27-29.