scholarly journals The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis

2019 ◽  
Vol 11 (5) ◽  
pp. 1465 ◽  
Author(s):  
Li Li ◽  
Di Liu ◽  
Jian Hou ◽  
Dandan Xu ◽  
Wenbo Chao
Keyword(s):  
Global Warming ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Total Carbon ◽  
Carbon Trading ◽  
Logarithmic Mean ◽  
Carbon Emission Reduction ◽  
Carbon Finance ◽  
The Impact

The negative effects of global warming are becoming more and more serious. The fundamental way to prevent global warming is by reducing carbon dioxide emissions. Achieving this has become a key concern for all countries. The logarithmic mean divisia index model was constructed to decompose the total carbon emission increment. Carbon finance effect was divided into green credit effect and carbon trading effect to analyze the impact of carbon finance on carbon emissions. The results showed that the total carbon emission reduction value caused by green credit effect from 2010 to 2016 in the Beijing-Tianjin-Hebei region was 66193.96 million tons, and the added value of carbon emission caused by carbon trading effect was 80266.68 million tons. There are regional differences in the effects of carbon finance on carbon emissions in these regions. It can be concluded that to a certain extent, green credit can reduce carbon emissions, and carbon trading can increase carbon emissions. Using the gradual expansion of carbon finance trading and market mechanism of carbon finance to solve the problem of carbon emission can improve the efficiency of carbon emission reduction.

scholarly journals The Impact and Influencing Path of the Pilot Carbon Emission Trading market——Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Wangzi Xu
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Emission Trading ◽  
Carbon Market ◽  
Carbon Trading ◽  
Carbon Emission Reduction ◽  
The World ◽  
Carbon Emission Trading ◽  
The Impact

As the country with the largest CO2 emissions in the world, the Chinese government has put forward clear goals of hitting peak carbon emissions by 2030 and carbon neutralization by 2060. Thus, China started piloting carbon emission trading in 2013, and in July 2021 China opened national carbon trading, which is the largest carbon market in the world (China Launches World, 2021). Therefore, it is very important for China to study the role and mechanism of carbon trading at present. Based on the quasi-natural experiment of China’s carbon market pilot, this paper uses panel data of 30 provinces in mainland China from 2008 to 2019 to conduct an empirical study on carbon emission reduction and the economic effects in China’s pilot provinces through a Time-varying Differences-in-Differences method model. The results show that the implementation of a carbon trading policy can significantly inhibit carbon emissions and promote economic growth. At the same time, this paper further analyzes the emission reduction mechanism of the carbon emissions trading policy through the intermediary effect test and finds that the policy mainly realizes carbon emission reduction by changing the energy consumption structure, promoting low-carbon innovation, and upgrading the industrial structure. In addition, innovative research has found the impact of a carbon price signal and marketization on the emission reduction effect of the carbon market. Finally, targeted suggestions are put forward.

scholarly journals Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽  
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.

scholarly journals Carbon Emission Reduction Strategy for Energy Users in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6498 ◽  
Author(s):  
Fuquan Zhao ◽  
Feiqi Liu ◽  
Han Hao ◽  
Zongwei Liu
Keyword(s):  
Renewable Energy ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Current Status ◽  
Chinese Government ◽  
Carbon Trading ◽  
Levelized Cost Of Electricity ◽  
Carbon Emission Reduction ◽  
The Cost

The Chinese government has made a commitment to control carbon emissions, and the deployment of renewable energy power generation is considered as an effective solution. In recent years, great effort has been exerted to support the development of renewable energy in China. While, due to fiscal pressures and changes in management policies, related subsidies are diminishing now and energy users are asked to pay for the cost. Regulations about carbon cap and renewable energy consumptions are issued to transfer the responsibility of consuming renewable energy and reducing carbon emissions to energy consumers. A national carbon trading system is set up in China and is under its growth stage. Therefore, this study lists the factors that should be considered by the energy users, analyzes the levelized cost of electricity generated by renewable energy in four cities in China, Beijing, Shanghai, Guangzhou, Wuhan, and compares the results with current carbon prices. Based on the research, under the current status, it is still more cost-efficient for enterprises to buy carbon credits than introduce renewable energies, and great differences among cities are shown due to different natural conditions. Besides, with diminishing subsidies and development of the carbon trading market, the carbon price will gradually reflect the actual value and carbon emission reduction costs will become an important part of enterprise expenditure. In the long term, enterprises should link more factors to carbon emissions, like social responsibility and brand image, instead of only the cost.

scholarly journals Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

2019 ◽  
Vol 11 (16) ◽  
pp. 4387 ◽  
Author(s):  
Lin ◽  
Zhang ◽  
Wang ◽  
Yang ◽  
Shi ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Search Algorithm ◽  
Urban Traffic ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Urban Distribution ◽  
The Impact

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.

scholarly journals Research on Carbon Emission Reduction Effect of China's Carbon Trading Pilot

2020 ◽  
Vol 7 (5) ◽  
pp. 240-250
Author(s):  
Linshan Wang ◽  
Chuanming Liu ◽  
Xi Yang
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Government Support ◽  
Carbon Trading ◽  
Carbon Emission Reduction ◽  
Carbon Emissions Trading ◽  
Emission Rights ◽  
Development Levels

Carbon emissions trading is one of the important ways to reduce carbon emissions by giving CO2 emission rights a commodity attribute that allows them to trade on the market and to reduce greenhouse gas emissions through the market mechanisms. Based on the inter-provincial panel data from 1997 to 2016, this paper constructs a basic theoretical analysis framework to analyze the carbon emission reduction effects of carbon trading policies, adopts PSM-DID to study the carbon emission reduction effects of carbon trading pilots. This study finds that: (1) The implementation of the carbon trading pilot can promote carbon emission reduction, but the pilot provinces and municipalities have different economic development levels, industrial structure and supporting measures adopted after the implementation of the carbon trading pilot policy, resulting in differences in carbon emission reduction effects between pilot provinces. (2) For the seller of carbon emission rights, carbon emission reduction is achieved through three effects of "market return-inducing", "technical innovation incentive" and "government support"; for the buyer, carbon emission reduction is achieved through three effects of "enterprise cost pressure", "process innovation motivation" and "market guiding". (4) The results of traditional PSM-DID further prove that the carbon trading pilot can significantly reduce CO2 emissions.

scholarly journals Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces

2021 ◽  
Vol 13 (21) ◽  
pp. 12137
Author(s):  
Xi Chen ◽  
Zhigang Chen
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Economic Transformation ◽  
Green Technology ◽  
Financing Constraints ◽  
Carbon Emission Reduction ◽  
Dynamic Panel Model ◽  
Green Finance ◽  
The Impact

Dealing with the relationship between environment and economic development is the core issue of China’s sustainable development. At present, China’s economic transformation is urgent, and green finance is being widely concerned. This paper measured the development level of China’s green finance from the perspective of green credit, green securities, green investment, and green insurance. Then, it used a spatial dynamic panel model to empirically test the mechanism of the impact of green finance on carbon emissions with panel data of 30 Chinese provinces from 2005 to 2018. The following can be seen from the results: (1) The development of green finance contributes to carbon emission reduction. (2) The spatial spillover effect of green finance is significant. Specifically, the development of green finance can not only reduce the carbon emissions of the local region but also inhibit that of adjacent areas. (3) The development of green finance indirectly leads to a decrease in carbon emissions by reducing financing constraints and boosting green technology innovation. In order to stimulate the carbon emission reduction effect of green finance to a greater extent, we should further support the development of green finance, reduce the financing constraints of energy-saving and environmental-protection enterprises, and encourage the research and development of green innovative technologies.

Carbon emission reduction and coordination in a closed-loop supply chain with outsourcing remanufacturing

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Na Wang ◽  
Yulin Zhang ◽  
Jing Li
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Closed Loop ◽  
Total Carbon ◽  
Closed Loop Supply Chain ◽  
Content Type ◽  
Carbon Emission Reduction ◽  
Optimal Decisions ◽  
The Impact

PurposeOutsourcing remanufacturing is a major form of remanufacturing, and emission reduction is an important part of a manufacturer's production. This paper aims to investigate carbon emission reduction strategies in a closed-loop supply chain (CLSC) with outsourcing remanufacturing and design a contract to coordinate the CLSC.Design/methodology/approachThe authors establish two-period game models between an original equipment manufacturer (OEM) and third-party remanufacturer (TPR) in different scenarios, including decentralized decision, centralized decision and coordinated decision. Furthermore, the authors study the optimal decisions by maximizing the profit model. The authors also investigate the impact of a carbon tax and emission reduction on the optimal decisions through comparative analysis.FindingsEmission reduction increases the quantity of new products and the OEM's profit. However, emission reduction decreases the outsourcing fee, which is not conducive to remanufacturing; thus, the TPR's profit does not necessarily increase. Compared with a decentralized scenario, the output of remanufactured products and the total profit increase. When the acceptance level of remanufactured products is high enough or when emissions from remanufacturing are low enough, the total carbon emissions are reduced in the centralized scenario. For the coordination of the CLSC, the OEM needs to increase the outsourcing fee and the TPR needs to share part of the emission reduction costs.Research limitations/implicationsThe TPR can choose three different remanufacturing strategies, namely, no remanufacturing, partial remanufacturing or full remanufacturing. For the majority of firms, it is difficult to remanufacture all used products. Therefore, the analysis is based only on partial remanufacturing.Practical implicationsThe results provide insights for remanufacturing and emission reduction decisions, as well as a decision basis for the cooperation between the OEM and TPR.Originality/valueThe authors combine the OEM's carbon emission reduction with outsourcing remanufacturing, and investigate the impact of technological spillover on the TPR's profit.

scholarly journals Carbon Emissions in the Xinjiang Production and Construction Corps and Driving Factors

2021 ◽  
Vol 9 ◽  
Author(s):  
Meng Wang ◽  
Lei Feng ◽  
Pengfei Zhang ◽  
Gaohang Cao ◽  
Hanbin Liu ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Emission Inventory ◽  
Driving Factors ◽  
Hot Water ◽  
Total Carbon ◽  
Energy Structure ◽  
Petroleum Processing ◽  
Carbon Emission Reduction

Xinjiang production and Construction Corps (XPCC) is an important provincial administration in China and vigorously promotes the construction of industrialization. However, there has been little research on its emissions. This study first established the 1998-2018 XPCC subsectoral carbon emission inventory based on the Intergovernmental Panel on Climate Change (IPCC) carbon emission inventory method and adopted the logarithmic mean Divisia indexmethod (LMDI) model to analyze the driving factors. The results revealed that from 1998 to 2018, the total carbon emissions in the XPCC increased from 6.11 Mt CO2 in 1998 to 115.71 Mt CO2 in 2018. For the energy structure, raw coal, coke and industrial processes were the main contributors to carbon emissions. For industrial structure, the main emission sectors were the production and supply of electric power, steam and hot water, petroleum processing and coking, raw chemical materials and chemical products, and smelting and pressing of nonferrous metals. In addition, the economic effect was the leading factor promoting the growth of the corps carbon emissions, followed by technical and population effects. The energy structure effect was the only factor yielding a low emission reduction degree. This research provides policy recommendations for the XPCC to formulate effective carbon emission reduction measures, which is conducive to the construction of a low-carbon society. Moreover, it is of guiding significance for the development of carbon emission reduction actions for the enterprises under the corps and provides a reference value for other provincial regions.

scholarly journals Will Tax Burden Be a Stumbling Block to Carbon-Emission Reduction? Evidence from OECD Countries

2021 ◽  
Vol 9 (4) ◽  
pp. 335-355
Author(s):  
Yishuai Ren ◽  
Yong Jiang ◽  
Chaoqun Ma ◽  
Jianglong Liu ◽  
Jing Chen
Keyword(s):  
Carbon Emissions ◽  
Human Activities ◽  
Emission Reduction ◽  
Fixed Effects ◽  
Carbon Emission ◽  
Oecd Countries ◽  
Tax Revenue ◽  
Tax Burden ◽  
Carbon Emission Reduction ◽  
The Impact

Abstract The influence of taxation on the economy and society is everywhere. Given the fact that CO2 emission is closely connected with human activities, the question naturally arises whether the tax burden affects the carbon emissions. To address this issue, based on the data of 21 OECD countries over the period from 1991–2014, we use the ratio of tax revenue to GDP as a proxy of the tax burden and employ a panel quantile model with the non-additive fixed effects for analysis. The results suggest that the impact of the tax burden on carbon emissions is heterogeneous across countries based on the level of carbon emissions. Moreover, we find a stable U-shaped relationship between the tax burden and carbon emissions whether for countries with a high or low level of carbon emissions. Our findings suggest that moderate taxes could help reduce carbon emissions, but the effect of excessive taxation is the opposite.

scholarly journals Integrated optimization of multiproduct multiperiod transportation and inventory under a carbon cap constraint for online retailers

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Yaorong Cheng ◽  
Yijun Li
Keyword(s):  
Simulated Annealing ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Total Carbon ◽  
Total Cost ◽  
Carbon Emission Reduction ◽  
Gentle Slope ◽  
Cost Increase ◽  
Online Retailers

Abstract This study aims to solve the problem of multiproduct multiperiod integrated transportation and inventory optimization for online retailers. A carbon cap constraint and multitype of capacitated trucks are simultaneously incorporated into the proposed mixed-integer program. A simulated annealing (SA) algorithm is designed. CPLEX 12.9.0 is used to solve the submodel obtained from the neighbourhood search and is also used to get the optimal solutions for instances. Experimental results show that the simulated annealing algorithm can find satisfactory solutions within a reasonable time. When the problem size increases, the growth of the computational time of the SA algorithm is significantly smaller than that of the CPLEX. A sensitivity analysis for the carbon cap is also conducted. The results indicate that if the carbon cap is gradually tightened, the total cost increases first with a gentle slope, and then with a remarkable slope, same as for the total number of trucks used; the total carbon emissions first decrease with a gentle slope, and then decline with a significant slope. When the carbon cap is strict, only a few different types of trucks will be considered. The percentage changes of the total cost increase and the total carbon emission reduction are also compared. When the allowed carbon emissions are gradually reduced, situation of a higher amount of carbon emission reduction and a lower amount of cost increase can be achieved. Additionally, using multiple types of trucks in the integrated optimization of transportation and inventory decisions can achieve greater cost savings with lower increments of carbon emission.

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