Research on the Influence of The Identification of "Green Factory" on Enterprise Intelligent Manufacturing

Yuhan Xian

doi:10.54097/djj8q618

Authors

Yuhan Xian

DOI:

https://doi.org/10.54097/djj8q618

Keywords:

Intelligent manufacturing; Green factory; Overlapping difference-in-differences model; Green industry policy.

Abstract

This study investigates whether voluntary environmental regulation, exemplified by China’s Green Factory Certification (GFC), can stimulate the development of intelligent manufacturing. Leveraging a panel dataset of A-share listed firms from 2007 to 2020 and employing a staggered difference-in-differences (DID) framework, we identify the causal effect of GFC certification on smart manufacturing capabilities. Results reveal a significant positive effect, particularly in firms with strong internal governance. Mechanism analysis shows GFC alleviates financing constraints and boosts R&D investment. Further, GFC-induced smart manufacturing contributes to total factor productivity (TFP) growth, validating the Porter Hypothesis. These findings offer empirical insights into the synergy between green industrial policies and technological upgrading.

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References

[1] Zhang, Y., & Song, J. (2021). Intelligent manufacturing in the Industry 4.0 era. China Industry & Information Technology, (9), 32-34. (in Chinese)

[2] SOORI M, AREZOO B, DASTRES R. Digital twin for smart manufacturing, A review [J]. Sustainable Manufacturing and Service Economics, 2023, 2: 100017.

[3] Zhou, J. (2015). Intelligent manufacturing: The main direction of "Made in China 2025". China Mechanical Engineering, 26(17), 2273-2284. (in Chinese).

[4] Liao, G., Jiang, M., & Wang, W. (2022). Green credit policy, debt financing and corporate innovation: DID test based on "two high" industries. Friends of Accounting, (17), 54-60. (in Chinese)

[5] Han, L., Tu, Y., & Zhuang, Q. (2024). Intelligent manufacturing pilot and corporate innovation: Quasi-natural experiment based on "Intelligent Manufacturing Pilot Demonstration Special Action". Forum on Science and Technology in China, (6), 77-86. (in Chinese)

[6] Huang, Z., Tao, Y., Liu, Z., et al. (2024). How intelligent manufacturing improves corporate capacity utilization: From the perspective of prosumption integration. Management World, 40(5), 40-59. (in Chinese)

[7] Wang, Q., & Sun, G. (2024). The "de-mismatch" effect of intelligentization and total factor productivity growth. Management Review, 36(4), 39-48. (in Chinese)

[8] Wu, L., Jia, X., Wu, C., et al. (2020). The impact of heterogeneous environmental regulations on China's green total factor productivity. China Population, Resources and Environment, 30(10), 82-92. (in Chinese)

[9] Li, X., Zhang, Y., & Jiang, F. (2019). Green industrial policy: Theoretical evolution and China's practice. Journal of Finance and Economics, 45(8), 4-27. (in Chinese)

[10] CHAO Z, LINGYUN H, HONGYIN L. Environmental regulations and green innovation of enterprises: quasi-experimental evidence from China [J]. Environmental science and pollution research international, 2023, 30(21): 60590-606.

[11] Chen, G., Ding, S., & Zhao, X. (2021). China's green finance policy, financing costs and corporate green transformation: From the perspective of central bank collateral policy. Journal of Financial Research, 498(12), 75-95. (in Chinese)

[12] Wang, Z., & Sun, H. (2022). The impact of market-based environmental regulation on corporate green technology innovation and its mechanism. Science and Technology Management Research, 42(8), 208-215. (in Chinese)

[13] Wang, M., Ye, T., & Kong, D. (2024). Green manufacturing and corporate environmental information disclosure: Policy experiment based on China's green factory creation. Economic Research Journal, 59(2), 116-134. (in Chinese).

[14] LIN J, CHANG H J. Should Industrial Policy in developing countries conform to comparative advantage or defy it? A debate between Justin Lin and Ha‐Joon Chang [J]. Development policy review, 2009, 27(5): 483-502.

[15] MIIT. (2018). General rules for green factory evaluation (GB/T 36132-2018). Standards Press of China. (in Chinese)

[16] Liu, J., Liu, J., & Chao, Y. (2024). Green credit and low-carbon transition: Capital integration or technological innovation? Evidence from quasi-natural experiments. The Journal of Quantitative & Technical Economics, 41(6), 151-171. (in Chinese)

[17] YU Y, ZHANG N. Environmental regulation and innovation: Evidence from China [J]. Global Environmental Change, 2022, 76: 102587.

[18] ECCLES R G, IOANNOU I, SERAFEIM G. The impact of corporate sustainability on organizational processes and performance [J]. Management science, 2014, 60(11): 2835-57.

[19] BENTO N, FONTES M. The construction of a new technological innovation system in a follower country: Wind energy in Portugal [J]. Technological Forecasting and Social Change, 2015, 99: 197-210.

[20] Guo, L., He, F., & Li, J. (2020). Analysis of China's intelligent manufacturing development trends: Based on text data from annual reports of manufacturing listed companies. Innovation Science and Technology, 20(2), 61-71. (in Chinese)

[21] WILCOX R R, ERCEG-HURN D M. Comparing two dependent groups via quantiles [J]. Journal of Applied Statistics, 2012, 39(12): 2655-64.

[22] Jiang, T. (2022). Mediating effects and moderating effects in causal inference empirical research. China Industrial Economics, (5), 100-120. (in Chinese)

[23] MYERS S C, MAJLUF N S. Corporate financing and investment decisions when firms have information that investors do not have [J]. Journal of financial economics, 1984, 13(2): 187-221.

[24] AGHION P, BLUNDELL R, GRIFFITH R, et al. The effects of entry on incumbent innovation and productivity [J]. The review of economics and statistics, 2009, 91(1): 20-32.

[25] Wang, D., & Zhu, Y. (2009). Research on dynamic decomposition and evaluation of total factor productivity changes in China's high-tech industry. Science & Technology Progress and Policy, 26(18), 104-107. (in Chinese).