scholarly journals The knowledge spillover effects of green technology innovation of low carbon regulation

2020 ◽  
Vol 619 ◽  
pp. 012025
Author(s):  
Youqiang Ding ◽  
Aihua Xiong
Keyword(s):  
Technology Innovation ◽  
Spillover Effects ◽  
Knowledge Spillover ◽  
Green Technology ◽  
Low Carbon ◽  
Carbon Regulation

scholarly journals Does the Low-Carbon City Pilot Policy Promote Green Technology Innovation? Based on Green Patent Data of Chinese A-Share Listed Companies

2021 ◽  
Vol 18 (7) ◽  
pp. 3695
Author(s):  
Jintao Ma ◽  
Qiuguang Hu ◽  
Weiteng Shen ◽  
Xinyi Wei
Keyword(s):  
Technological Innovation ◽  
Technology Innovation ◽  
Objective Assessment ◽  
Green Technology ◽  
Low Carbon ◽  
Corporate Financing ◽  
Multiple Dimensions ◽  
Low Carbon City ◽  
The Impact ◽  
A Share

To cope with climate change and achieve sustainable development, low-carbon city pilot policies have been implemented. An objective assessment of the performance of these policies facilitates not only the implementation of relevant work in pilot areas, but also the further promotion of these policies. This study uses A-share listed enterprises from 2005 to 2019 and creates a multi-period difference-in-differences model to explore the impact of low-carbon city pilot policies on corporate green technology innovation from multiple dimensions. Results show that (1) low-carbon city pilot policies stimulates the green technological innovation of enterprises as manifested in their application of green invention patents; (2) the introduction of pilot policies is highly conducive to green technological innovation in eastern cities and enterprises in high-carbon emission industries; and (3) tax incentives and government subsidies are important fiscal and taxation tools that play the role of pilot policies in low-carbon cities. By alleviating corporate financing constraints, these policies effectively promote the green technological innovation of enterprises. This study expands the research on the performance of low-carbon city pilot policies and provides data support for a follow-up implementation and promotion of policies from the micro perspective at the enterprise level.

scholarly journals Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 122
Author(s):  
Liyuan Zhang ◽  
Xiang Ma ◽  
Young-Seok Ock ◽  
Lingli Qing
Keyword(s):  
Gini Coefficient ◽  
Regional Differences ◽  
Technology Innovation ◽  
Influencing Factor ◽  
Growth Period ◽  
Spillover Effects ◽  
Development Trend ◽  
Green Technology ◽  
Government Support ◽  
Eastern Region

Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super efficiency slacks-based measure (SBM) model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: “stationary period”, “recession period” and “growth period”. However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted ‘U’ shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.

Whether green technology innovation is conducive to haze emission reduction: Empirical evidence from China

2021 ◽  
Author(s):  
Ming Yi ◽  
Ying Lu ◽  
Le Wen ◽  
Ying Luo ◽  
Shujing Xu ◽  
...  
Keyword(s):  
Spatial Correlation ◽  
Foreign Investment ◽  
Industrial Structure ◽  
Technology Innovation ◽  
Collaborative Governance ◽  
Spillover Effects ◽  
Green Technology ◽  
Haze Pollution ◽  
The Impact ◽  
Negative Spillover

Abstract With the acceleration of industrialization, haze pollution has become a severe environmental pollution problem, and green technology innovation is one feasible way to alleviate it. Based on the PM2.5 concentration data of 30 provinces in mainland China from 2011 to 2017, we use a spatial panel model to investigate the spatial characteristics of haze pollution and examine the impact of green technology innovation on it. Results show that haze pollution has spatial correlation and a time lag. Its spatial correlation is associated with geographical distance as well as the compound influence of distance and economic development. Green technology innovation and foreign investment have inhibitory and negative spillover effects on haze pollution. Industrial structure and energy consumption structure play a partial intermediary role between green technology innovation and haze pollution, and the former has a significant negative spillover, while the latter has a positive effect. To reduce haze pollution, China should improve the level of green technology innovation, use foreign investment wisely, and enhance policy support and guidance. It should also promote the rationalization of industrial structure, optimize energy structure and implement energy substitution. Finally, it is crucial that it should strengthen regional collaborative governance and build a multi-agent governance system.

scholarly journals Spatial Effects of Environmental Regulation and Green Credits on Green Technology Innovation Under Low-Carbon Economy Background Conditions

2019 ◽  
Vol 16 (17) ◽  
pp. 3027 ◽  
Author(s):  
Guo ◽  
Zhou ◽  
Liu ◽  
Wang
Keyword(s):  
Environmental Regulation ◽  
Technology Innovation ◽  
Green Technology ◽  
Spatial Effects ◽  
Low Carbon ◽  
Innovation Development ◽  
Low Carbon Economy ◽  
Surrounding Areas ◽  
The Relationship ◽  
Carbon Economy

Based on the data of green credit (GC), environmental regulation (ER) and green technology innovation (GTI) in 30 provinces and cities of China from 2007 to 2016, this study investigated the relationship between green credit and green technology innovation development and analyzed the adjustment effect of ER on GC to promote GTI using Geoda and Matlab2016 software, so as to further guide and encourage GC. The results show that GTI in 30 provinces and municipalities in China has a significant spatial agglomeration effect. Single GC plays a certain role in promoting local technology innovation, but it fails to influences the surrounding areas. Environmental regulation has a certain regulatory effect on the relationship between green credit and green technology innovation in the province but also fails to influences the surrounding areas.

scholarly journals Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition

2021 ◽  
Author(s):  
Liyuan Zhang ◽  
Pengzhen Liu ◽  
Heather Tarbert ◽  
Qingyu Bu
Keyword(s):  
Gini Coefficient ◽  
Regional Differences ◽  
Technology Innovation ◽  
Influencing Factor ◽  
Growth Period ◽  
Spillover Effects ◽  
Development Trend ◽  
Green Technology ◽  
Government Support ◽  
Eastern Region

Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super-efficient SBM model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing of the industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, the industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: " stationary period", " recession period " and "growth period ". However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted 'U' shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.

scholarly journals Do the Green Credit Guidelines Affect Corporate Green Technology Innovation? Empirical Research from China

2021 ◽  
Vol 18 (4) ◽  
pp. 1682
Author(s):  
Min Hong ◽  
Zhenghui Li ◽  
Benjamin Drakeford
Keyword(s):  
Technology Innovation ◽  
Green Technology ◽  
Debt Financing ◽  
Financing Constraints ◽  
Difference Model ◽  
Financing Constraint ◽  
Important Means ◽  
Regulatory Commission ◽  
The Impact ◽  
Innovation Policies

Green technology innovation is regarded as an important means to achieve sustainable development. Countries all over the world mainly implement green technology innovation policies from the aspects of environmental regulation and financing constraints. The effect of financing constraint policy on enterprise green technology innovation remains to be investigated. Based on the event of “green credit guidelines” issued by China Banking Regulatory Commission in 2012, this paper collects the panel data of China’s 2825 listed companies from 2007 to 2018, constructs a difference-in-difference model, and studies the impact of green credit guidelines on corporate green technology innovation and its mechanism. The empirical results show: First, green credit guidelines can promote corporate green technology innovation on the whole. Second, the mechanism of green credit on enterprise green technology innovation is identified. Green credit guidelines mainly limited green technology innovation through reducing debt financing, rather than through financing constraints. Third, the impact of green credit guidelines on green technology innovation is heterogeneous. Green credit guidelines have a significant effect on the green technology innovation of state-owned and large enterprises, but have no effect on the green technology innovation of non-state-owned and small ones.

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