Education, Science, Technology, Innovation and Life
Open Access
Sign In

Environmental Regulation, Government RD Investmentand Green Technology Innovation Performance in theYangtze River Economic Belt

Download as PDF

DOI: 10.23977/ieim.2020.030208 | Downloads: 6 | Views: 1296

Author(s)

Qianming Xia 1

Affiliation(s)

1 School of Management, Shanghai University, Shanghai 200444, China

Corresponding Author

Qianming Xia

ABSTRACT

Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2008 to 2018, this paper uses the SBM model that considers undesired output to measure and analyze the impact of environmental regulations and government R&D investment on the performance of green technology innovation in the Yangtze River Economic Belt, and uses the panel threshold model. Analyze the optimal intensity interval of environmental regulations and government R&D investment. The research found that: (1) In the process of green technology innovation in the Yangtze River Economic Belt, environmental regulations and government R&D investment can promote innovation performance; (2) Environmental regulations and government R&D investment have a significant threshold for green technology innovation performance, and The optimal range of government R&D investment intensity is above 0.078, and the optimal intensity of environmental regulation is above 0.0013.

KEYWORDS

Environmental regulation; government R&D investment; green technology innovation performance in the Yangtze River Economic Zone; optimal intensity

CITE THIS PAPER

Qianming Xia, Environmental Regulation, Government RD Investmentand Green Technology Innovation Performance in theYangtze River Economic Belt. Industrial Engineering and Innovation Management (2020) 3: 129-141. DOI: http://dx.doi.org/10.23977/ieim.2020.030208.

REFERENCES

[1] Zhao Lijuan, ZHANG Yuxi, PAN Fanghui. Government R&D investment, environmental regulation and innovation efficiency of agricultural science and technology [J]. Scientific research management, 2019, 40 (02): 76-85.
[2] Porter M E.Towards a dynamic theory of strategy [J]. Strategic management. Journal, 1991, 12 (S2); 95-117
[3] Porter ME, Linde C. Toward a New Conception of the Envi ronment-Competitiveness. Relationship [J]. Journal of Economic Perspectives, 1995, 9 (4): 97-118.
[4] Jaffe A B, Newell R G, Stavins R N. A tale of two market failures: Technology and environmental policy [J]. Ecological Economics, 2005, 54 (2): 164-174.
[5] Johnstone N, HašcicI, Kalamova M. Environmental policy characteristics and technologicalinnovation [J]. 2012, 27 (2): 277-301
[6] Zhao Li, Xue Yao, Hu Yiqun. Environmental Regulatory intensity and Technological Innovation -- An Empirical Study from pollution-intensive Manufacturing industry [J]. Science and technology progress and countermeasures, 2019, 36 (10): 59-65.
[7] BECHER R A. Local environmental regulation and plant-levelproductivity [J]. Ecological economics, 2011, 70 (12): 2516-2522
[8] STOEVER J, WECHE J P.Environmental regulation andsustainable competitiveness: evaluating the role of firm-level green investments in the context of the Porter Hypothesis [J].
[9] Gray WB. The cost of regulation; OSHA, EPA and the productivity slowdown [J]. The American Economics Review, 1987, 77 (5); 998-1006
[10] Zhang Zhuangzhuang, Li Meiling. Environmental regulation, industrial structure change and technological innovation capability [J]. Systems engineering, 2019, 37 (03): 59-68.
[11] Rbera, A.J, McConnell, V.D. The impact of environ mental regulations on industry productivity: Direct and indi rect effects [J]. Journal of Environmental Economics and
[12] oyd G A, Mc Clelland J D. The impact of environmen tal constraints on productivity improvement in integratedpaperplants [J]. Journal of Environmental Economicsand Management, 1999, 38 (2): 121-142.
[13] Yu Peng, LI Xin, ZHANG Jian, XUE Ya-wei. The Impact of Environmental Regulation on Technological Innovation and Its Regional Heterogeneity -- An Empirical Analysis based on China's provincial Panel Data [J]. Management Review, 202, 32 (05): 87-95.
[14] Li Bo xin, Han Xianfeng, Song Wenfei. Whether environmental regulations affect China's industrial R&D innovation efficiency [J]. Science of science research, 2013, 31 (07): 1032-1040.
[15] He Yumei, Luo Qiao. Environmental regulation, Technological Innovation and Industrial Total Factor Productivity -- A Re-test of the "Strong Porter hypothesis" [J]. Soft Science, 2008, 32 (04): 20-25.
[16] Howe D, Mc Fetridge D G.The Determinants of R&D Expenditures [J]. Canadian Journal of. Economics 1976, E, 09 (01): 57-71
[17] Liu Jibing, WANG Dingchao, XIA Ling. Research on the impact of government subsidies on innovation efficiency of strategic emerging industries [J]. Science and technology progress and countermeasures, 2014, 31 (23): 56-61.
[18] Guellec D, Bruno Van Pottelsberghe, De La Potteri. The Impact of Public R&D Expenditure. on Business R&D [J] Economics of Inno vation and New Technology, 2003 (12): 225-243.
[19] The Effect of R&D Subsidies on Private R&D [J]. Economica. 2006 (294)
[20] Bai Junhong, JIANG Keshen, Li Jing. Evaluation of Regional R & D and Innovation efficiency in China by stochastic Frontier Model [J]. Management World, 2009 (10): 51-61.
[21] Xiao Wen, Lin Gaobang. Government Support, R&D management and Technological Innovation Efficiency: An Empirical Analysis based on China's Industrial Industry [J]. Management World, 2014 (04): 71-80.
[22] Ye Qingming, Wang Kunqing. The Influence of government R&D Investment on enterprise innovation Performance: An Empirical Study based on Shanghai High-tech Enterprises [J]. Scientific research management, 2019, 40 (07): 78-86.
[23] TinbergenJ.Four alternative policies to restore balance of payments. C [J]. Econometrica, 1952, 20 (3): 372-390.
[24] Guo Jie, Yang Licheng. Impact of environmental regulation and government R&D funding on Green Technology Innovation: An empirical Analysis based on provincial level data in Mainland China [J]. Science and technology progress and countermeasures, 2020, 37 (10): 37-44.

Downloads: 11117
Visits: 268255

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.