Next Article in Journal
Regional Features and National Differences in Population Distribution in China’s Border Regions (2000–2015)
Previous Article in Journal
Visions and Expectations for the Norwegian Bioeconomy
Open AccessArticle

External Knowledge Sourcing and Green Innovation Growth with Environmental and Energy Regulations: Evidence from Manufacturing in China

School of Economics and Management, Harbin Engineering University, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Academic Editor: Yongrok Choi
Sustainability 2017, 9(3), 342; https://doi.org/10.3390/su9030342
Received: 15 December 2016 / Revised: 25 January 2017 / Accepted: 16 February 2017 / Published: 25 February 2017
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
This paper adopts the slacks-based measure-directional distance function (SBM-DDF, 2009) method for deriving the “Green Innovation Growth” rates of 28 manufacturing industries in China. The results indicate that the overall level of green innovation growth in China’s manufacturing is relatively low, with a declining trend. The tradeoffs among energy, environment and economy are rather sharp, and the “Porter Effect (1995)” (environmental regulation will promote green technology innovation) is not currently realized quickly in manufacturing. These evaluations imply an unsustainable development model in China, with significant differences among industries. By using a dynamic panel threshold model and employing an industry-level panel dataset for 2008–2014, we show that external knowledge sourcing has a significant negative impact on green innovation growth but with different constraints on R&D levels among industries. With the strengthening of R&D levels, gradually surpassing “critical mass”, the negative role of external knowledge sourcing in driving this mechanism becomes smaller and smaller; it has a non-linear relationship with the “threshold effect”. Consequently, we provide insights into the relationship among energy consumption, environmental pollution and technology innovation, and show how the heterogeneity of the R&D threshold affects differences in external knowledge sourcing and green innovation growth. These insights lead to a better understanding of the driving force, realizing path and policy design for green innovation growth. View Full-Text
Keywords: external knowledge sourcing; green innovation growth; environment and energy regulation; SBM-DDF model; dynamic threshold effect external knowledge sourcing; green innovation growth; environment and energy regulation; SBM-DDF model; dynamic threshold effect
Show Figures

Figure 1

MDPI and ACS Style

Hou, J.; Chen, H.; Xu, J. External Knowledge Sourcing and Green Innovation Growth with Environmental and Energy Regulations: Evidence from Manufacturing in China. Sustainability 2017, 9, 342.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop