Low Carbon Economy Development and Carbon Emission Reduction in Western China

The Yangtze River Economic Belt (YREB) is an essential part of China’s goal of reducing its national carbon emissions. Focusing on economic and social development, the development of science and technology, carbon sinks, energy consumption, and carbon emissions, this paper uses “the Technique for Order of Preference by Similarity to Ideal Solution mode” (TOPSIS) and “an obstacle factor diagnosis method” to measure the reduction capacity of each province and municipality of the YREB. Key obstacles to achieving the goal of carbon emission reduction are also identified. The main finding is that the emission reduction capacities of Shanghai, Jiangsu and Zhejiang in China’s east is far greater than that of all other provinces and municipalities, the main obstacle of Shanghai, Jiangsu, and Zhejiang are carbon sinks, energy consumption and carbon emission, and other provinces and municipalities are social and economic development. Taking into consideration those evaluation results and obstacles, paths for carbon emission reduction are delineated through a four-quadrant matrix method with intent to provide suitable references for the development of a low-carbon economy in the YREB.

Download Full-text

Research of Optimization Framework for China's Low-Carbon Technology Development Based on 3E Model: A Case Study of Electricity Industry

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.535.500 ◽

2014 ◽

Vol 535 ◽

pp. 500-505 ◽

Cited By ~ 2

Author(s):

Zhe Liu ◽

Wei Hua Zeng

Keyword(s):

Emission Reduction ◽

Carbon Emission ◽

Technology Development ◽

Electricity Industry ◽

Human Society ◽

Low Carbon ◽

Carbon Emission Reduction ◽

Low Carbon Economy ◽

Optimization Framework ◽

Technology Roadmap

Energy security and climate change are the two major challenges facing human society, its a hot topic that how to realize comprehensive balance and coordinated development among Energy-Economy-Environment. Low-carbon technology is the key to the development of low-carbon economy, and rational planning of the development of low-carbon technology roadmap has the role of guiding low-carbon industry development. This study aims at the lowest cost on carbon emission reduction technology under the constraints of carbon emission reduction targets in all stages; establishes the framework of low-carbon technology development to make portfolio optimization based on MARKAL model; and then take electricity industry for example, and conduct Scenario Design on low-carbon technology in electricity industry by stage in order to define the best low-carbon technology roadmap of electricity industry over the next 40 years. On that basis, propose the matching policy recommendations to ensure the development of low-carbon technology roadmap. The proposed optimization framework of low-carbon technology roadmap can provide technical methods for the development of low-carbon technologies and establishment of related policies in other industries.

Download Full-text

The impact of low-carbon emission reduction policies on economic growth

E3S Web of Conferences ◽

10.1051/e3sconf/202127502037 ◽

2021 ◽

Vol 275 ◽

pp. 02037

Author(s):

Yuqi Sheng

Keyword(s):

Economic Growth ◽

Emission Reduction ◽

Carbon Emission ◽

Significant Negative Correlation ◽

Low Carbon ◽

Carbon Emission Reduction ◽

Low Carbon Economy ◽

Carbon Neutrality ◽

Consuming Country ◽

The Impact

As the development of a green and low-carbon economy has received great attention from governments around the world, carbon peaking and carbon neutrality have become important issues raised by China. As a major energy consuming country, government has actively formulated and implemented various carbon emission reduction policies in order to curb carbon emissions. Whether these policies achieve economic growth in the process of energy conservation and emission reduction, and promote China’s green and low-carbon development transition is the focus of this paper. This paper selects data from 30 provinces in China from 2010 to 2019, establishes a model, and empirically analysis the impact of carbon emission reduction policy tools on economic growth. The results show that there is a significant negative correlation between mandatory carbon emission reduction policies and economic growth, while market-based carbon emission reduction policies enhance the economic strength of the region. In addition, this paper empirically tests that after the establishment of the carbon market in 2013, market-based carbon emission reduction policies have significantly promoted economic growth, and the impact of carbon emission reduction policies on economic growth have regional heterogeneity.

Download Full-text

Equilibrium between Road Traffic Congestion and Low-Carbon Economy: A Case Study from Beijing, China

Sustainability ◽

10.3390/su11010219 ◽

2019 ◽

Vol 11 (1) ◽

pp. 219 ◽

Cited By ~ 5

Author(s):

Shuxia Yang ◽

Yu Ji ◽

Di Zhang ◽

Jing Fu

Keyword(s):

Carbon Emissions ◽

Traffic Congestion ◽

Emission Reduction ◽

Carbon Emission ◽

Road Traffic ◽

Low Carbon ◽

Low Carbon Economy ◽

Carbon Reduction ◽

Road Traffic Congestion ◽

Carbon Economy

China has allocated low-carbon targets into all regions and trades, and road traffic also has its own emission reduction targets. Congestion may increase carbon emissions from road traffic. It is worthwhile to study whether it is possible to achieve the goal of road traffic reduction by controlling congestion; that is, to achieve the equilibrium between traffic congestion and a low-carbon economy. The innovation of this paper is mainly reflected in the innovative topic selection, the introduction of a traffic index, and the establishment of the first traffic congestion and low-carbon economic equilibrium model. First, the relevant calculation method of the traffic index is introduced, and the traffic index is used to quantify the traffic congestion degree. Using the traffic index, GDP, and road passenger traffic volume, a nonlinear regression model of road traffic carbon emissions is constructed. Then, the calculation method of the carbon emission intensity of road traffic in the region is proposed. The equilibrium model of traffic congestion and a low-carbon economy is constructed to look for the degree of road traffic congestion that may occur under the permitted carbon emission intensity. Taking Beijing, where electric vehicles account for less than 3% of the total vehicles, as an example, it is difficult to achieve the equilibrium target between road traffic congestion and a low-carbon economy by alleviating traffic congestion in 2020. If the target of traffic carbon emission reduction in 2020 is adjusted from 40%–45% to 19.7% based on 2005, the equilibrium will be achieved. A negative correlation between road traffic carbon emissions and the reciprocal of the traffic index (1/TI) is found after eliminating the effects of GDP and PTV (road passenger traffic volume). As the traffic index decreases by units, the carbon emission reduction accelerates. The results show that carbon reduction targets cannot be simply allocated to various industries. The results of the research on the degree of the impact of traffic congestion on carbon emissions can be used as a basis for carbon reduction decisions of the traffic sector. The research method of this paper can provide a reference for the study of the equilibrium of traffic congestion and a low-carbon economy in other regions.

Download Full-text

Efficient Allocation and Reasonable Transportation of Logistics Enterprises under Low Carbon Economy

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.850-851.1086 ◽

2013 ◽

Vol 850-851 ◽

pp. 1086-1089

Author(s):

Chuan Zhao ◽

Yang Liu

Keyword(s):

Emission Reduction ◽

Carbon Emission ◽

Economic Benefits ◽

Total Carbon ◽

Development Model ◽

Low Carbon ◽

Low Carbon Economy ◽

Technical And Economic Analysis ◽

Logistics Enterprises ◽

Carbon Economy

On analyzing the SF EXPRESS carbon emission way, the total carbon discharge and the emission reduction way on the low carbon economy development model, this paper finds the logistics enterprises a development model and points out its direction with a sort of technical methods such as technical and economic analysis and statistical analysis etc. It significantly contributes to the similar enterprises on the low carbon economy development with reference. Besides, on the detection of carbon discharge way and the evaluation of the emission, the paper proposes the development of LEC based on enterprise resources integration and rational transport. Through the optimization of the aviation and the terminal branches, the enterprises can get more economic benefits.

Download Full-text

Research on evolution game of clothing enterprises’ carbon emission reduction investment considering free riding behavior

E3S Web of Conferences ◽

10.1051/e3sconf/202123701029 ◽

2021 ◽

Vol 237 ◽

pp. 01029

Author(s):

Hangxin Guo ◽

Zheng Liu ◽

Mengmeng Zhao ◽

Huihui Wang

Keyword(s):

Supply Chain ◽

Emission Reduction ◽

Carbon Emission ◽

Evolutionary Game ◽

Free Riding ◽

Low Carbon ◽

Carbon Emission Reduction ◽

Low Carbon Economy ◽

The Cost ◽

Evolution Game

“low carbon economy” puts forward new requirements for carbon emission reduction in all links of the supply chain. This paper takes the three-level clothing supply chain composed of government, supplier and manufacturer as the research object, considering the “free riding behavior” of clothing supplier and manufacturer, by constructing the three-party evolutionary game model, using the replication dynamic equation to analyze the evolution process of the three actors, and studies the influence of parameter change on the strategy selection of each agent. Finally, the simulation is carried out by Matlab. The results show that the strategies are affected by the government’s punishment, the “free ride” revenue of suppliers and manufacturers, and the cost of carbon emission reduction investment. Finally, based on the analysis results, some suggestions are put forward for enterprises to invest in carbon emission reduction.

Download Full-text

Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽

10.3390/en14071810 ◽

2021 ◽

Vol 14 (7) ◽

pp. 1810

Author(s):

Kaitong Xu ◽

Haibo Kang ◽

Wei Wang ◽

Ping Jiang ◽

Na Li

Keyword(s):

Life Cycle ◽

Carbon Emissions ◽

Emission Reduction ◽

Carbon Emission ◽

Composite Beams ◽

Total Carbon ◽

Construction Process ◽

Low Carbon ◽

Carbon Emission Reduction ◽

The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

Download Full-text

Optimal Pricing Decisions for a Low-Carbon Supply Chain Considering Fairness Concern under Carbon Quota Policy

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18020556 ◽

2021 ◽

Vol 18 (2) ◽

pp. 556

Author(s):

Hao Zou ◽

Jin Qin ◽

Bo Dai

Keyword(s):

Emission Reduction ◽

Carbon Emission ◽

Reduction Rate ◽

Retail Price ◽

Low Carbon ◽

Close Attention ◽

Carbon Emission Reduction ◽

Carbon Supply ◽

Total Profit ◽

Fairness Concern

This research investigates the effect of fairness concerns on a sustainable low-carbon supply chain (LCSC) with a carbon quota policy, in which a manufacturer is in charge of manufacturing low-carbon products and sells them to a retailer. The demand is affected by price and the carbon emission reduction rate. The optimal decisions of pricing and carbon emission reduction rate are analyzed under four decision models: (i) centralized decision, (ii) decentralized decision without fairness concern, (iii) decentralized decision with manufacturer’s fairness concern, (iv) decentralized decision with retailer’s fairness concern. The results indicate that the profits in the centralized LCSC are higher than those in the decentralized LCSC with fairness concern. If a manufacturer pays close attention to fairness, the fairness concern coefficient will reduce the carbon emission reduction rate and the profit of the LCSC and increase the wholesale price and the retail price of the product. If a retailer pays close attention to fairness, and the preference of consumers for a low-carbon product is low, the fairness concern coefficient of the retailer increases the total profit of the LCSC and decreases the carbon emission reduction rate and retail price of the product. Otherwise, if the preference of consumers for a low-carbon product is great, the fairness concern coefficient of the retailer would lead to a lower retail price compared with the retail price in the centralized decision and decrease the total profit of the LCSC.

Download Full-text

Study on Power Generation Expansion Planning Model Based on NOx Total Emission Control and Low Carbon Economy Effect

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.830.439 ◽

2013 ◽

Vol 830 ◽

pp. 439-443 ◽

Cited By ~ 1

Author(s):

Yu Li ◽

Chao Ci Li

Keyword(s):

Power Generation ◽

Energy Saving ◽

Emission Reduction ◽

Emission Control ◽

Total Emission ◽

Low Carbon ◽

Low Carbon Economy ◽

Generation Expansion ◽

Total Emission Control ◽

Carbon Economy

Acid rain and greenhouse effect are the major air pollution problems in China, and the goals for the total emission control of NOx and total energy consumption control begin to move forward in the 12th five-year plan. NOx emission reduction and energy saving of coal-fired power plants are still put in a strategic position. Accordingly, it is of great significance to carry out power planning work, considering effect of NOx emission index and energy saving on power industry. In this study, a mixed 0-1 integer linear power generation expansion model based on total emission control of NOx and low carbon economy effect is developed for the first time, which can be used for studying the change of power structure, confirming the releasing emissions of NOx from power system for development and reducing energy consumption by total amount control of power coal consumption and CO2 emission growth rate. The model is applied to the power system in Heilongjiang province and the results indicate that the proposed model not only can meet the requirement of power generation expansion management, but also can help the power industry clear the economic impact of NOx emission reduction on self-development and achieve the energy saving target.

Download Full-text