Government R&amp;D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China

Yi, Ming; Wang, Yiqian; Yan, Modan; Fu, Lina; Zhang, Yao

doi:10.3390/ijerph17041330

Cited by 97 publications

(63 citation statements)

References 45 publications

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“…In keeping with these policy changes, the static and dynamic green innovation efficiency results in this study show a trend towards growth. As a result of the Yangtze River Economic Development Symposium, major cities along the Yangtze River adjusted their industrial structure on a large scale and reduced high-polluting enterprises, and the green innovation efficiency declined from 2015 to 2016, as reported by Liu [ 63 ] and Yi [ 23 ]. However, the measured green innovation efficiency in Liu’s study did not consider differences in the input-output indicators or undesirable outputs.…”

Section: Discussionmentioning

confidence: 99%

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Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

2020

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Green innovation is an important driving force to promote the sustainable development of urban society and economy. This paper constructs an evaluation index system containing social undesirable outputs, and uses the Super-SBM model and the Malmquist-Luenberger index to evaluate green innovation efficiency in 42 cities along the Yangtze River Economic Belt from 2013 to 2017. Additionally, spatial autocorrelation analysis is used to study the spatial correlation of green innovation efficiency. Finally, the coupling coordination degree model is used to study the coupling coordination degree between green innovation efficiency and high-tech industries. The following results were obtained. (1) The average value of green innovation efficiency increased from 1.0446 to 1.0987, and the annual average growth rate of total factor productivity of green innovation was 1.1%. (2) Green innovation efficiency of the Yangtze River Economic Belt had a significant spatial positive correlation, but the types of agglomeration among cities in different sections of the Yangtze River were quite different. (3) The coupling coordination degree between green innovation efficiency and the development level of high-tech industries in the cities of the Yangtze River Economic Belt was in the basic coordination stage. Based on the research results, we suggest that cities in this belt further enhance the interactive relationship between green innovation and economic development and promote the coordinated development of economy and society.

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Section: Discussionmentioning

confidence: 99%

“…After analyzing green innovation efficiency, most scholars, such as Zhang [ 15 ] and Yi [ 23 ], have carried out empirical analysis on the factors affecting the efficiency of green innovation. A few scholars have also studied the spatial agglomeration effect of green innovation efficiency.…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

2020

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“…Then, for regions with high level of IPP, the cost of technology introduction is higher, so they could increase government subsidies for research and development [10]. In order to reduce the inhibitory effect of high intensity of IPP on the level of GTI, they should encourage regional independent R&D investment by means of R&D tax incentives [9].…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, it plays a positive role in promoting green innovation [9]. In addition, government R&D subsidies are also conducive to improving the efficiency of green innovation in the manufacturing industry [10].…”

Section: The Relationship Between Independent R and D Investment And Gtimentioning

confidence: 99%

The impact of IPP on GTI from the perspective of independent R&D

Yang¹,

Huang²,

Wang³

et al. 2020

Preprint

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Due to the continuous trade friction between China and the United States, for domestic enterprises in China, the cost of importing foreign technologies is increasing. Thus, the independent research and development (R&D) becomes particularly important for the realization of green technology innovation (GTI). This paper establishes a non-linear mediating effect model based on the data of various regions in China from 2012 to 2018. The main results are shown in the following. Firstly, there is an inverted U-shaped relationship between the intensity of intellectual property protection (IPP) and the level of GTI. Furthermore, the independent R&D investment has a masking effect between them. Secondly, by taking the independent R&D investment as a threshold variable, we prove our findings. Considering that the intensity of IPP is at a high level in most regions of China, the above statements mean that the enterprises need to continuously increase their investment in R&D, in order to further improve the regional ability in GTI. Meanwhile, local governments should also stimulate enterprises' willingness to expand their scale in R&D by issuing incentive policies, such as R&D tax incentives and government subsidies.

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“…If the agglomeration is excessive, vicious competition and crowding effect will occur, and the negative externalities of agglomeration on innovation will hinder the promotion of EIE. Comprehensively considering the positive and negative externalities of agglomeration and their effects on EIE, based on the empirical studies on the high-end manufacturing industry of China and the manufacturing industry of Yangtze River Economic Belt of China, Li et al [40] and Yi et al [41] found that manufacturing agglomeration had a significant and positive impact on EIE.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective

Zhang

Rongping

et al. 2021

Sustainability

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Eco-innovation is the main driver of realizing the coordinated development of resource, environmental and economic systems. This paper measures regional eco-innovation efficiency (EIE) by using the Super-Slack Based Measure (SBM) model with undesirable outputs and distinguishes different agglomeration patterns based on Chinese data of 21 manufacturing sub-industries of 30 provinces. In particular, from the perspective of the dynamic evolution of manufacturing agglomeration, the nonlinear effects of specialized and diversified agglomeration on EIE are investigated based on panel threshold regression models. The results indicate that China’s EIE shows a U-shaped changing trend. The impacts of specialized and diversified agglomeration on EIE are nonlinear and have significant three-threshold effects. There exist a U-shaped relationship between specialized agglomeration and EIE, and an S-shaped relationship between diversified agglomeration and EIE. In terms of eco-innovation, the development of diversified agglomeration is superior to that of specialized agglomeration. Overall, there is still much room for more than 70% of provinces in China to increase their EIE by optimizing the layout of manufacturing specialized and diversified agglomeration. To improve the EIE and achieve sustainable economic growth, differentiated agglomeration policies should be formulated in various stages and regions. In addition, the driving mechanism of eco-innovation should be strengthened.

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Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China

Cited by 97 publications

References 45 publications

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

The impact of IPP on GTI from the perspective of independent R&D

Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective

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