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.

Technology Innovation Based on Environmental Kuznets Curve Hypothesis

2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang
Keyword(s):  
Energy Consumption ◽  
Environmental Kuznets Curve ◽  
Technology Innovation ◽  
Added Value ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Environmental Kuznets Curve Hypothesis ◽  
The Relationship ◽  
Carbon Economy

Low-carbon economy was an inevitable choice in response to climate warming. With the deep analysis of the environmental Kuznets curve (EKC), this paper used two models to analyze the relationship between the growth of a country’s economic and the quantity of pollutants produced in the process. The empirical study compare the two groups of samples, which described energy consumption per unit of industrial added value, each group contains five symbolic provinces or municipalities in coastal and western areas. The outcome proved the positive significance of technology innovation.

Development Strategies of Low-Carbon Tourism Attractions Based on Tourists' Low-Carbon Cognition

2012 ◽  
Vol 524-527 ◽  
pp. 2517-2521
Author(s):  
Xiao Li Hou ◽  
Jing Wang ◽  
Chang Jing Xiao
Keyword(s):  
Low Carbon ◽  
Development Mode ◽  
Low Carbon Economy ◽  
The World ◽  
Reduce Carbon Emission ◽  
Tourism Attractions ◽  
And Behavior ◽  
The Relationship ◽  
Carbon Economy

To develop low-carbon tourism attraction is conducive to the transformation of tourism industry’s development mode. It can also help China to take the carbon-reducing responsibility in the world, reduce carbon emission and develop low-carbon economy and society. This paper takes Beijing Badachu Park as the case study to analyze the relationship between the development of low-carbon tourism attraction and the tourists’ low-carbon cognition. It shows that there’re two kinds of low-carbon cognition, one is “to know it” and the other is “to do it”. But the reality is there always has some inconformity between consciousness and behavior in low carbon tourism which is bad for the construction of tourism attractions. This article put forward some suggestions to solve this problem: “hardware” transformation, scientifically planning and management, to intervene tourists’ low carbon cognition through “attraction also community” ways, etc.

scholarly journals Impact of Environmental Regulation Intensity on Green Technology Innovation: From the Perspective of Political and Business Connections

2021 ◽  
Vol 13 (9) ◽  
pp. 4862
Author(s):  
Yu-Hong Ai ◽  
Di-Yun Peng ◽  
Huan-Huan Xiong
Keyword(s):  
Environmental Regulation ◽  
Technology Innovation ◽  
Negative Impact ◽  
Early Stage ◽  
Green Technology ◽  
Political Connections ◽  
Long Run ◽  
Business Connections ◽  
The Impact ◽  
The Relationship

With heavy air pollution and the highest CO2 emissions in the world, China is in urgent need of technology innovation to improve the energy efficiency and control the pollution emission. This study empirically investigates the impact of environmental regulation intensity, political connections, and business connections on green technology innovation in China’s firms. The authors employ a panel data regression analysis on a dataset that comprises 884 observations for A-share listed companies from 2016 to 2019, owing to the availability of data. The results show: (1) Environmental regulation intensity (ERI) has a U-shaped effect on green technology innovation (GTI), which means GTI is inhibited by ERI in the early stage but gets promoted in the long run; (2) Political connections positively moderate the relationship between ERI and GTI mainly because of crowding-out effect and resource effect; (3) Business connections have a negative impact on the relationship between ERI and GTI, resulting from knowledge acquisition and lock-in; (4) Business connections have a greater moderating effect than political connections probably because political ties lack an effective mechanism to ensure long-term cooperation with the enterprises; (5) However, with regard to those firms in the non-heavily polluting industry, both connections moderate the relationship between ERI and GTI in an opposite direction to the main effect. The research results help policy makers formulate relevant policies, based on the impact of environmental regulation and social connections on green technology innovation.

An Empirical Study on China's Energy Consumption, Carbon Emissions and Economic Growth

2013 ◽  
Vol 869-870 ◽  
pp. 377-380
Author(s):  
Meng Hui Liu ◽  
Kun Kun Xue
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Empirical Investigation ◽  
Var Model ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Negative Effect ◽  
The Relationship ◽  
Carbon Economy

With the development of low-carbon economy, it is necessary to explore the relationship between energy consumption, carbon emissions and the economic growth correctly. In this paper, the VAR model was proposed with analyzing the relationship between the three factories through pulse response graph. Through the empirical investigation, the result shows: increasing energy consumption can promote economic growth, while the increasing consumption will also raise emissions of carbon. However, the emissions of carbon have negative effect on economic growth. Therefore, we must correctly handle the relationship between the three factories. Thus, it offers the best way to develop the economic in this paper is to develop the low carbon economy.

China's Industrial Structure Adjustment Path on Low-Carbon Economy

2013 ◽  
Vol 781-784 ◽  
pp. 2542-2545
Author(s):  
Yong Li Cao ◽  
Ning Ning An ◽  
Na Yao
Keyword(s):  
Development Strategy ◽  
Industrial Structure ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Theoretical Support ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Practical Guidance ◽  
The Relationship ◽  
Carbon Economy

The paper elaborates development strategy of low-carbon economy in China on the basis of describing the relationship between low-carbon economy and industrial structure as well as industrial structure influencing factors, through analysis by China national conditions and the difficulties and obstacles encountered in the process of reducing carbon emissions.To some extent, it can provide theoretical support and practical guidance for industrial structural transformation which is based on the development of low-carbon.

A Combined Study on Low-Carbon Economy and Construction Industry

2011 ◽  
Vol 374-377 ◽  
pp. 374-377
Author(s):  
Xiao Ying Li ◽  
Cai Wu Lu ◽  
Wei Xing Jin
Keyword(s):  
Construction Industry ◽  
Industrial Structure ◽  
Market Competition ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Economic Concept ◽  
Important Approach ◽  
The Government ◽  
The Relationship ◽  
Carbon Economy

Development of low-carbon economy is an important approach to adjust industrial structure. With the gradual acceptance of low-carbon economic concept, borders of industries gradually become unclear and construction industry steps into the phase of combination. This paper gains the result that the profit of implementing low carbon technology is increasing function or decreasing function to the actual value and by adopting efficient low carbon technology in construction industry in two different fusing stages, and considering the market competition situation through the return condition of referral encouragement. It also gains the situation that the government provides referral encouragement or does not provide referral encouragement by analyzing the relationship between the profits and the average benefits of low carbon in the market, and finally proposes the fusing countermeasures of construction industry in the low carbon economy age. And it gave the accelerate in-depth development of modern construction industry.

scholarly journals Impacts of Environmental Regulation on the Green Transformation and Upgrading of Manufacturing Enterprises

2020 ◽  
Vol 17 (20) ◽  
pp. 7680 ◽  
Author(s):  
Liang Shen ◽  
Runjie Fan ◽  
Yuyan Wang ◽  
Zhaoqing Yu ◽  
Rongyun Tang
Keyword(s):  
Environmental Regulation ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Econometric Model ◽  
Consumer Preference ◽  
Green Technology ◽  
Manufacturing Enterprises ◽  
Chinese Manufacturing Industry ◽  
The Government ◽  
The Relationship

Since environmental problems are becoming increasingly prominent, macro policies and social development have placed higher requirements on manufacturing enterprises to promote green transformation and upgrading (GTU) in China. Considering that different manufacturing enterprises choose different green technology innovation levels for GTU under environmental regulation, a game model between manufacturing enterprises and the government is constructed. The relationship between the green technology innovation level (GTIL) and the environmental regulation intensity is analyzed. Through numerical examples, the influences of environmental regulation and consumer preference on system decisions are further examined. Moreover, an econometric model is constructed to explore the influence that the environmental regulation exerts on the GTIL using panel data from the Chinese manufacturing industry. Our results show that the increase in environmental regulation intensity contributes to improving GTIL and promoting the GTU of manufacturing enterprises. Furthermore, as the environmental regulation is enhanced, the sales price decreases, benefiting consumers. Consumers’ preference for high-GTIL products is conducive to GTU under environmental regulation. Empirical analysis shows that there is a U-shaped relationship between environmental regulation and the GTIL. Only when the intensity reaches a threshold can the environmental regulation be beneficial to improve the GTIL and promote the GTU of Chinese manufacturing enterprises.

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