The impact of financialization on R&D innovation in enterprises exhibits typical nonlinear dynamic characteristics. Based on this, in this study we constructed a threshold regression model to test the moderate range that can maintain the positive relationship between financialization and R&D innovation of enterprises, and also analyzed the nonlinear influencing mechanism by setting the interaction term. Considering the differences in factor intensity of various industries, in this research we also tested the heterogeneity in the moderate range among different industries. Using annual data of Chinese listed companies from 2010 to 2019, the following empirical findings were obtained: First, the impact of enterprise financialization on R&D innovation presents a nonlinear feature, i.e., a typical threshold feature. The level of enterprise financialization first positively affects the R&D innovation of enterprises, and after it reaches a certain turning point, the financialization behavior negatively affects the R&D innovation of enterprises. Second, the nonlinear feature of the mechanism by which enterprise financialization affects R&D innovation is reflected in the substitute effect, and there are disparities among different financialization levels. Third, industries with varying levels of factor intensity not only demonstrate differences in moderate intervals, but also exhibit significant disparities in the degree of impact exerted by financialization on innovation.
Citation: Yue Liu, Shan Huang, Zirui Wang, Lichang Zhang. Research on the moderate range of enterprise financialization and R&D innovation from a nonlinear perspective[J]. Electronic Research Archive, 2024, 32(3): 1923-1945. doi: 10.3934/era.2024088
The impact of financialization on R&D innovation in enterprises exhibits typical nonlinear dynamic characteristics. Based on this, in this study we constructed a threshold regression model to test the moderate range that can maintain the positive relationship between financialization and R&D innovation of enterprises, and also analyzed the nonlinear influencing mechanism by setting the interaction term. Considering the differences in factor intensity of various industries, in this research we also tested the heterogeneity in the moderate range among different industries. Using annual data of Chinese listed companies from 2010 to 2019, the following empirical findings were obtained: First, the impact of enterprise financialization on R&D innovation presents a nonlinear feature, i.e., a typical threshold feature. The level of enterprise financialization first positively affects the R&D innovation of enterprises, and after it reaches a certain turning point, the financialization behavior negatively affects the R&D innovation of enterprises. Second, the nonlinear feature of the mechanism by which enterprise financialization affects R&D innovation is reflected in the substitute effect, and there are disparities among different financialization levels. Third, industries with varying levels of factor intensity not only demonstrate differences in moderate intervals, but also exhibit significant disparities in the degree of impact exerted by financialization on innovation.
| [1] |
A. Gehringer, Growth, productivity and capital accumulation: The effects of financial liberalization in the case of European integration, Int. Rev. Econ. Finance, 25 (2013), 291–309. https://doi.org/10.1016/j.iref.2012.07.015 doi: 10.1016/j.iref.2012.07.015
|
| [2] |
F. Arizala, E. Cavallo, A. Galindo, Financial development and TFP growth: cross-country and industry-level evidence, Appl. Financ. Econ., 23 (2013), 433–448. https://doi.org/10.1080/09603107.2012.725931 doi: 10.1080/09603107.2012.725931
|
| [3] |
S. Orazi, L. B. Martinez, H. P. Vigier, Determinants and evolution of financial inclusion in Latin America: A demand side analysis, Quant. Finance Econ., 7 (2023), 187–206. https://doi.org/10.3934/qfe.2023010 doi: 10.3934/qfe.2023010
|
| [4] |
G. J. Prah, Innovation and economic performance: The role of financial development, Quant. Finance Econ., 6 (2022), 696–721.https://doi.org/10.3934/qfe.2022031 doi: 10.3934/qfe.2022031
|
| [5] |
M. B. Aalbers, The potential for financialization, Dialogues Hum. Geogr., 5 (2015), 214–219. https://doi.org/10.1177/2043820615588158 doi: 10.1177/2043820615588158
|
| [6] |
M. Shugurov, International cooperation on climate research and green technologies in the face of sanctions: The case of Russia, Green Finance, 5 (2023), 102–153. https://doi.org/10.3934/gf.2023006 doi: 10.3934/gf.2023006
|
| [7] |
Y. Liu, L. Chen, H. Luo, Y. Liu, Y. Wen, The impact of intellectual property rights protection on green innovation: A quasi-natural experiment based on the pilot policy of the Chinese intellectual property court, Math. Biosci. Eng., 21 (2024), 2587–2607. https://doi.org/10.3934/mbe.2024114 doi: 10.3934/mbe.2024114
|
| [8] | Y. B. Yu, Q. Xu, Influencing factors of enterprise R&D investment: Post-subsidy, sustainability, and heterogeneity, Sustainability, 14 (2022), 5759. https://doi.org/10.3390/su14105759 |
| [9] |
Y. F. Wang, J. Liu, X. R. Yang, M. Shi, R. Ran, The mechanism of green finance's impact on enterprises' sustainable green innovation, Green Finance, 5 (2023), 452–478. https://doi.org/10.3934/gf.2023018 doi: 10.3934/gf.2023018
|
| [10] |
Ö. Orhangazi, Financialisation and capital accumulation in the non-financial corporate sector: A theoretical and empirical investigation on the US economy: 1973–2003, Cambridge J. Econ., 32 (2008), 863–886. https://doi.org/10.1093/cje/ben009 doi: 10.1093/cje/ben009
|
| [11] |
Y. Wen, Y. Xu, Statistical monitoring of economic growth momentum transformation: empirical study of Chinese provinces, AIMS Math., 8 (2023), 24825–24847. https://doi.org/10.3934/math.20231266 doi: 10.3934/math.20231266
|
| [12] |
Y. Liu, Z. H. Li, M. R. Xu, The influential factors of financial cycle spillover: Evidence from China, Emerging Mark. Finance Trade, 56 (2020), 1336–1350. https://doi.org/10.1080/1540496x.2019.1658076 doi: 10.1080/1540496x.2019.1658076
|
| [13] |
Z. H. Li, J. H. Zhu, J. J. He, The effects of digital financial inclusion on innovation and entrepreneurship: A network perspective, Electron. Res. Arch., 30 (2022), 4697–4715. https://doi.org/10.3934/era.2022238 doi: 10.3934/era.2022238
|
| [14] |
Y. H. Huang, L. Sun, T. B. Ger, An analysis of enterprise resource planning systems and key determinants using the Delphi method and an analytic hierarchy process, Data Sci. Finance Econ., 3 (2023), 166–183. https://doi.org/10.3934/dsfe.2023010 doi: 10.3934/dsfe.2023010
|
| [15] |
L. Liu, M. Liu, How does the digital economy affect industrial eco-efficiency? Empirical evidence from China, Data Sci. Finance Econ., 2 (2022), 371–390. https://doi.org/10.3934/dsfe.2022019 doi: 10.3934/dsfe.2022019
|
| [16] |
J. H. Ma, Z. H. Li, Measuring China's urban digital economy, Natl. Account. Rev., 4 (2022), 329–361. https://doi.org/10.3934/nar.2022019 doi: 10.3934/nar.2022019
|
| [17] |
Y. Liu, J. Z. Liu, L. C. Zhang, Enterprise financialization and R&D innovation: A case study of listed companies in China, Electron. Res. Arch., 31 (2023), 2447–2471. https://doi.org/10.3934/era.2023124 doi: 10.3934/era.2023124
|
| [18] | D. Sheng, O. Guyot, Corporate governance in Chinese manufacturing sector: Ownership structure, monitoring and firms' earning quality, Natl. Account. Rev., 5 (2023), 421–443. https://doi.org/10.3934/nar.2023024 |
| [19] |
Z. H. Li, Z. M. Huang, Y. Y. Su, New media environment, environmental regulation and corporate green technology innovation: Evidence from China, Energy Econ., 119 (2023), https://doi.org/10.1016/j.eneco.2023.106545 doi: 10.1016/j.eneco.2023.106545
|
| [20] |
Z. H. Li, B. Mo, H. Nie, Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China, Int. Rev. Econ. Finance, 86 (2023), 46–57. https://doi.org/10.1016/j.iref.2023.01.015 doi: 10.1016/j.iref.2023.01.015
|
| [21] |
Z. Li, H. Chen, B. Mo, Can digital finance promote urban innovation? Evidence from China, Borsa Istanbul Rev., 23 (2023), 285–296. https://doi.org/10.1016/j.bir.2022.10.006 doi: 10.1016/j.bir.2022.10.006
|
| [22] |
Z. Li, C. Yang, Z. Huang, How does the fintech sector react to signals from central bank digital currencies?, Finance Res. Lett., 50 (2022), 103308. https://doi.org/10.1016/j.frl.2022.103308 doi: 10.1016/j.frl.2022.103308
|
| [23] |
Z. H. Li, H. Dong, C. Floros, A. Charemis, P. Failler, Re-examining Bitcoin volatility: A CAViaR-based approach, Emerging Mark. Finance Trade, 58 (2021), 19. https://doi.org/10.1080/1540496x.2021.1873127 doi: 10.1080/1540496x.2021.1873127
|
| [24] |
Z. Li, L. Chen, H. Dong, What are bitcoin market reactions to its-related events?, Int. Rev. Econ. Finance, 73 (2021), 1–10. https://doi.org/10.1016/j.iref.2020.12.020 doi: 10.1016/j.iref.2020.12.020
|
| [25] |
M. Hong, J. J. He, K. X. Zhang, Z. D. Guo, Does digital transformation of enterprises help reduce the cost of equity capital, Math. Biosci. Eng., 20 (2023), 6498–6516. https://doi.org/10.3934/mbe.2023280 doi: 10.3934/mbe.2023280
|
| [26] |
F. Demir, Financial liberalization, private investment and portfolio choice: Financialization of real sectors in emerging markets, J. Dev. Econ., 88 (2009), 314–324. https://doi.org/10.1016/j.jdeveco.2008.04.002 doi: 10.1016/j.jdeveco.2008.04.002
|
| [27] |
Z. H. Li, J. H. Zhong, Impact of economic policy uncertainty shocks on China's financial conditions, Finance Res. Lett., 35 (2020), 7. https://doi.org/10.1016/j.frl.2019.101303 doi: 10.1016/j.frl.2019.101303
|
| [28] |
Z. Li, G. Liao, K. Albitar, Does corporate environmental responsibility engagement affect firm value? The mediating role of corporate innovation, Bus. Strategy Environ., 29 (2019), 1045–1055. https://doi.org/10.1002/bse.2416 doi: 10.1002/bse.2416
|
| [29] |
Z. H. Li, Z. H. Huang, H. Dong, The influential factors on outward foreign direct investment: Evidence from the "The Belt and Road", Emerging Mark. Finance Trade, 55 (2019), 3211–3226. https://doi.org/10.1080/1540496x.2019.1569512 doi: 10.1080/1540496x.2019.1569512
|
| [30] |
A. Tornell, Real vs. financial investment can Tobin taxes eliminate the irreversibility distortion, J. Dev. Econ., 32 (1990), 419–444. https://doi.org/10.1016/0304-3878(90)90045-d doi: 10.1016/0304-3878(90)90045-d
|
| [31] |
T. Theurillat, J. Corpataux, O. Crevoisier, Property sector financialization: The case of Swiss pension funds (1992–2005), Eur. Plann. Stud., 18 (2010), 189–212. https://doi.org/10.1080/09654310903491507 doi: 10.1080/09654310903491507
|
| [32] |
J. R. Brown, B. C. Petersen, Cash holdings and R&D smoothing, J. Corporate Finance, 17 (2011), 694–709. https://doi.org/10.1016/j.jcorpfin.2010.01.003 doi: 10.1016/j.jcorpfin.2010.01.003
|
| [33] |
Y. Yang, Y. Linda, Law, finance, and economic growth in China: An introduction, World Dev., 37 (2009), 753–762. https://doi.org/10.1016/j.worlddev.2008.07.009 doi: 10.1016/j.worlddev.2008.07.009
|
| [34] | L. Hannah, Management innovation: essays in the spirit of Alfred D. Chandler, Jr, Econ. Hist. Rev., 66 (2013), 684–685. https://doi.org/10.1111/1468-0289.12015_30 |
| [35] |
D. Tori, Ö. Onaran, The effects of financialization on investment: evidence from firm-level data for the UK, Cambridge J. Econ., 42 (2018), 1393–1416. https://doi.org/10.1093/cje/bex085 doi: 10.1093/cje/bex085
|
| [36] |
Y. Liu, Y. Wen, Y. Xiao, L. Zhang, S. Huang, Identification of the enterprise financialization motivation on crowding out R&D innovation: evidence from listed companies in China, AIMS Math., 9 (2024), 5951–5970. https://doi.org/10.3934/math.2024291 doi: 10.3934/math.2024291
|
| [37] | P. C. Y. Chow, Financialization and the slowdown in Korean firms' R&D investment comments, Asian Econ. Pap., 11 (2012), 50–52. |
| [38] | B. E. Hansen, Threshold effects in non-dynamic panels: Estimation, testing, and inference, J. Econom., 93 (1999), 345–368. https://doi.org/10.1016/s0304-4076(99)00025-1 |
Yue Liu, Shan Huang, Zirui Wang, Lichang Zhang. Research on the moderate range of enterprise financialization and R&D innovation from a nonlinear perspective[J]. Electronic Research Archive, 2024, 32(3): 1923-1945. doi: 10.3934/era.2024088
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