scholarly journals Dynamic Co-Evolution Analysis of Low-Carbon Technology Innovation Compound System of New Energy Enterprise Based on the Perspective of Sustainable Development

2021 ◽  
Author(s):  
Xu Yang ◽  
Yu Guo ◽  
Qiang Liu ◽  
Deming Zhang
Keyword(s):  
Technology Innovation ◽  
Research Direction ◽  
Compound System ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Innovation Research ◽  
Competition And Cooperation ◽  
New Energy ◽  
The Stability ◽  
New Research

Abstract BackgroundThe implementation of low-carbon economy is the key to sustainable economy and society development, and low-carbon technological innovation of new energy enterprise is the core driving force based on the perspective of sustainable development.MethodThis study establishes the low-carbon technology innovation compound systems and evaluation index order systems of new energy enterprise, integrates synergy theory and genetic algorithms, and constructs the dynamic co-evolution model of low-carbon technology innovation compound systems of new energy enterprise, expounds the order and stability of the compound systems.ResultsBased on the statistical data of 12 representative enterprises in "top 30 new energy enterprises" from 2010 to 2019, this paper establishes and analyzes the corresponding coevolution model. It is found that the gap of low-carbon technology innovation level between different new energy enterprises is narrowing. Among them, the level of new energy comprehensive enterprises is slightly higher than that of other types of enterprises, and that of central enterprises is slightly higher than that of private enterprises.ConclusionThe results consistently show that the model can better reflect the dynamic co-evolution relationships of low-carbon technology innovation compound systems of new energy enterprise, and reveal the partial competitive substitution, partial competitive coexistence and completeness among the three subsystems of input, output and support in the compound systems in detail. The three situations of independent coexistence fully demonstrate the competition and cooperation relationships among subsystems and the stability of overall compound systems, which provide new research direction for low-carbon technology innovation research for new energy enterprise.

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.

Smart Software Applications for a Low Carbon Economy

2011 ◽  
pp. 506-512
Author(s):  
Aditya Bates
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Energy Management ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Software Applications ◽  
World Energy ◽  
New Energy ◽  
User Groups ◽  
Carbon Economy

There are changes underway in the world energy and power systems because of climate change, which will result in smart and intelligent infrastructure for the new energy management and power system. Smart grid software will play an important part in making this new infrastructure intelligent. This chapter investigates software applications that have a potential to be developed for a new low carbon economy. In addition, this paper explains what the standard bodies and user groups driving the development of these new smart software applications. The chapter will also discuss the control points where software can be added to smart grid infrastructure for a low carbon economy.

scholarly journals Research on New and Traditional Energy Sources in OECD Countries

2019 ◽  
Vol 16 (7) ◽  
pp. 1122 ◽  
Author(s):  
Ying Li ◽  
Yung-ho Chiu ◽  
Tai-Yu Lin
Keyword(s):  
Renewable Energy ◽  
Clean Energy ◽  
Past Research ◽  
Oecd Country ◽  
Oecd Countries ◽  
Pollutant Emissions ◽  
Energy Sources ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
New Energy

To mitigate the problems associated with climate change, the low-carbon economy concept is now being championed around the world in an effort to reduce greenhouse gas emissions and ensure sustainable economic growth. Therefore, to reduce the dependence on traditional energy sources, the Organization for Economic Co-operation and Development (OECD) has been actively promoting the use of renewable energy. Past research has tended to neglect the influence of other pollutants such as fine particulate matter (PM2.5) and sulfur dioxide (SO2) and have mainly been based on static analyses. To make up for these research gaps, this study examined OECD country data from 2010–2014, with labor, fixed assets, new energy, and traditional energy as the inputs, and Gross Domestic Product (GDP), carbon dioxide (CO2), and PM2.5 as the outputs, from which it was found: (1) the overall efficiency of the individual countries varied significantly, with nine countries being found to have efficiencies of 1 for all five years, but many others having efficiencies below 0.2; (2) in countries where there was a need for improvements in traditional energy (which here refers to coal, petroleum and other fossil energy sources), there was also a significant need for improvement in new energy sources (which here refers to clean energy which will produce pollutant emissions and can be directly used for production and life, including resources like nuclear energy and “renewable energy”); (3) countries with poor traditional energy and new energy efficiencies also had poor CO2 and PM2.5 efficiencies; (4) many OECD countries have made progress towards sustainable new energy developments

With Low-Carbon Resources’ Constraint the Satisfactory Conditions for R&D Endogenous Growth Model

2014 ◽  
Vol 1073-1076 ◽  
pp. 2755-2758
Author(s):  
De Fa Cai ◽  
Ru Yun Dai ◽  
Jing Cai
Keyword(s):  
Endogenous Growth ◽  
Growth Model ◽  
Sustainable Consumption ◽  
Low Carbon ◽  
Exhaustible Resource ◽  
Low Carbon Economy ◽  
Endogenous Growth Theory ◽  
New Energy ◽  
Endogenous Growth Model ◽  
Carbon Economy

Low-Carbon Resources include low-consumption energy like renewable resources, new energy, clean power, etc. From the perspective of fiscal policy, to study and develop R&D will affect the progress of technology directly, and to develop Low-Carbon Economy needs the innovation of Low-Carbon technology. Thus, the government’s R&D investment is crucial to developing Low-Carbon technology and Low-Carbon Economy. This thesis combines the endogenous growth theory with the sustainability of Low-Carbon Resources, and uses the R&D endogenous growth model to give one under the constraint of Low-Carbon resources. It comes to a relevant conclusion, that is, assuming that the society requires a sustainable consumption in consuming the rest of exhaustible resource, the labor investment of R&D sectors should meet the basic conditions.

Hebei Province Low Carbon Economy SWOT Analysis

2014 ◽  
Vol 1073-1076 ◽  
pp. 2822-2825
Author(s):  
Yan Qing Nie
Keyword(s):  
Swot Analysis ◽  
Industrial Structure ◽  
Hebei Province ◽  
Energy Structure ◽  
Low Carbon ◽  
Analysis Method ◽  
Development Environment ◽  
Low Carbon Economy ◽  
New Energy ◽  
Carbon Economy

Hebei province as a great province of energy, its economic development and industrial structure highly dependent on energy. Developing low carbon economy is great significance to Hebei. This article used SWOT analysis method to analyze the advantage, weaknesses, opportunities and threats of low carbon economy of Hebei province. The author put forward countermeasures such as seizing the historical opportunity, creating low carbon development environment, developing new energy industries, optimizing energy structure, adjusting the industrial layout, optimizing the industrial structure.

Using the Particle Swarm Optimization Model to Evaluate the Wind Power Enterprise Development Ability under Low-Carbon Economy Environment

2012 ◽  
Vol 608-609 ◽  
pp. 683-686
Author(s):  
Zhi Bin Liu ◽  
Rui Peng Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Wind Power ◽  
Rapid Development ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Low Carbon ◽  
Swarm Optimization ◽  
Low Carbon Economy ◽  
New Energy ◽  
Power Enterprise

Electricity is the basic industry in China, which has the important strategic significance to maintain the social stability, ensure the national security and promote the economic development. With the rapid development of power market reform and the establishment of bidding for access mechanism, the competition among the power generation enterprises becomes much drastic. To evaluate the development ability of wind power enterprises in the power new energy, the authors proposed a novel particle swarm optimization (PSO) algorithm, which used the randomness, the rapidity and the global characteristics to obtain the pheromone distribution, and had the faster convergence velocity. The development ability evaluation of 12 wind power enterprises showed that the results given by this model were reliable, and it is feasible to evaluate the development ability using this method.

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