Carbon-Trade Price Influence on CarbonRegulation of Tobacco Supply Chain

2021 ◽  
Vol 7 (6) ◽  
pp. 5466-5474
Author(s):  
Tan Jian ◽  
Xiao Shiyun ◽  
Xiao Zhengzhong ◽  
Wang Zuogong
Keyword(s):  
Decision Making ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Market Mechanism ◽  
Coordinated Development ◽  
Numerical Illustration ◽  
Carbon Regulation ◽  
Technology Investment ◽  
Decentralized Decision Making ◽  
Trade Prices

Carbon emissions exist in all links of tobacco SC, among whichtobacco, acetic acid tow and cigarette production are important links of cigarette carbon emission. Under the background of green economic development, it is very significant to study the coordinated development of economy and environment from the angle of tobacco SC. Carbon-trade is aneffectivechannel to realize reducing carbon emissions by using market mechanism. Take into consideration grandfathering and the goal of carbon regulation, game models of SCwith carbon trading are established. We analyze the influence of three factors including carbon-trade price, decision-making mode, technology emission reduction investment on the degree of carbon regulation and SC profits, the conclusions are verified by numerical illustration. The research shows that: without investment of technology, the three different decision-making modescarbon regulation degreeare the same. In the investment of technology emission reduction, the degree of carbon regulation is the strictest under the centralized decision-making mode while the most relaxed under the retailer led decision-making mode. Different carbon-trade prices have different effects on the investment decisions of three different decision-making modes; technology investment in decentralized decision-making is always conducive to retailer and the total profits.

scholarly journals Optimal Decisions for Two Risk-Averse Competitive Manufacturers under the Cap-and-Trade Policy and Uncertain Demand

2020 ◽  
Vol 17 (3) ◽  
pp. 1010 ◽  
Author(s):  
Hongxia Sun ◽  
Jie Yang ◽  
Yang Zhong
Keyword(s):  
Decision Making ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Rate ◽  
Risk Averse ◽  
Cap And Trade ◽  
Carbon Emission Reduction ◽  
Optimal Decisions ◽  
The Government

With the increasingly serious problem of environmental pollution, reducing carbon emissions has become an urgent task for all countries. The cap-and-trade (C&T) policy has gained international recognition and has been adopted by several countries. In this paper, considering the uncertainty of market demand, we discuss the carbon emission reduction and price policies of two risk-averse competitive manufacturers under the C&T policy. The two manufacturers have two competitive behaviors: simultaneous decision making and sequential decision making. Two models were constructed for these behaviors. The optimal decisions, carbon emission reduction rate, and price were obtained from these two models. Furthermore, in this paper the effects of some key parameters on the optimal decision are discussed, and some managerial insights are obtained. The results show that the lower the manufacturers’ risk aversion level is, the higher their carbon emission reduction rate and utilities. As the carbon quota increases, the manufacturers’ optimal carbon reduction rate and utilities increase. Considering consumers’ environmental awareness, it is more beneficial for the government to reduce the carbon quota and motivate manufacturers’ internal enthusiasm for emission reduction. The government can, through macro control of the market, make carbon trading prices increase appropriately and encourage manufacturers to reduce carbon emissions.

scholarly journals Hybrid Predictive Decision-Making Approach to Emission Reduction Policies for Sustainable Energy Industry

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2220
Author(s):  
Chao Zhou ◽  
Dongyu Liu ◽  
Pengfei Zhou ◽  
Jie Luo ◽  
Serhat Yuksel ◽  
...  
Keyword(s):  
Decision Making ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Energy Production ◽  
Sustainable Energy ◽  
Quadratic Model ◽  
Energy Investment ◽  
Interval Type ◽  
Sustainable Economic Growth

Carbon emissions are a prominent issue for sustainable energy production and management. Energy policies under the growing competitive environment could change the priorities of emission reduction and investment decisions. This paper aims to forecast carbon emissions from China and to rank the importance of carbon emissions with interval type 2 (IT2) fuzzy sets (FS) for sustainable energy investments. For this purpose, the quadratic model is applied to measuring emission trends and the Qualitative Flexible Multiple Criteria Method (QUALIFLEX) is used for measuring sustainable energy investment alternatives by the several emission levels. Forecasted values of 29 provinces in China are converted into the linguistic and fuzzy numbers based on IT2 FS respectively to measure the priorities of emission reduction for sustainable economies. The novelty of this paper is to propose a hybrid decision-making approach based on quadratic modeling and the QUALIFLEX method and to discuss the overall energy emission trend and policies for sustainable economic growth. The results demonstrate that emission reduction policies are the most important phenomenon and the environmental factors should be widely considered to construct sustainable energy investments and production.

scholarly journals Government Low-Carbon Regulations Based on Supply Chain Members’ Behavior and Consumers’ Channel Preference in a Dual-Channel Supply Chain

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Bingquan Liu ◽  
Xuran Chang ◽  
Boyang Nie ◽  
Yue Wang ◽  
Lingqi Meng
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Stackelberg Game ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
The Government ◽  
Dual Channel Supply Chain

As carbon emissions are increasing due to the development of economy, low-carbon supply chain plays an important role in carbon emissions reduction and the dual-channel supply chain has become a hit because online shopping is developing rapidly. Therefore, this paper builds a Stackelberg game model led by the manufacturer in a dual-channel supply chain to examine the reaction of the government under centralized or decentralized decisions-making structures with different low-carbon strategies. The result shows that the government can achieve higher profits by taking incentive or punitive measures for centralized decision-making supply chain no matter they invest in emissions reduction or not. Moreover, for decentralized decision-making mode, increasing low-carbon subsidies for retailers can achieve a win-win result between the supply chain and the government; and, finally, channel competition is good for improving the supply chain and social benefits. Therefore, the government is responsible for taking reasonable subsidy policies, formulate industry’s low-carbon standards, and properly guide competition between supply chain members to achieve higher profits.

Investment strategy analysis of emission-reduction technology under cost subsidy policy in the carbon trading market

Kybernetes ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 252-284 ◽  
Author(s):  
Qiang Hou ◽  
Jiayi Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Social Welfare ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Investment Strategy ◽  
Low Carbon ◽  
Subsidy Policy ◽  
Content Type ◽  
Technology Investment

Purpose The authors consider a dynamic emission-reduction technology investment decision-making problem for an emission-dependent dyadic supply chain consists of a manufacturer and a retailer under subsidy policy for carbon emission reduction. The consumers are assumed to prefer to low-carbon products and formulate a supply chain optimal control problem. Design/methodology/approach The authors adopt differential game to analyze investment strategies of cost subsidy coefficient with respect to vertical incentive of a manufacturer and a retailer. A comparison analysis under four different decision-making situations, including decentralized decision-making, centralized decision-making, maximizing social welfare, is obtained. Findings The results show that the economic benefit and environmental pressure have a win–win performance in centralized decision-making. In four different game models, equilibrium strategies, profits and social welfare show changing diversity and have a consistent development trend as time goes on. Research limitations/implications The authors estimate the demand function is a linear function in this paper. According to the consumers’ preference to low-carbon products, consumer’s awareness meets the law of diminishing marginal utility like advertising goodwill accumulation. The carbon-sensitive coefficient might be a quadratic expression, which will complicate the problem and be consistent with reality. Practical implications It captures that there is a necessity to strengthen cooperation and exchange of carbon emission technology among the enterprises by simulation of different decision-makings when government granted cost subsidy. Social implications The results provide significant guidelines for the supply chain to make decision-makings of emission-reduction technology investment and relevant government departments to determine emission subsidies costs. Originality/value An endogenous subsidies coefficient is produced by the social welfare function. Distinguished from previous study, it also considered the influences of carbon emission trade policy and consumer preference.

scholarly journals Integrated Production and Transportation Scheduling in E-Commerce Supply Chain with Carbon Emission Constraints

2021 ◽  
Vol 16 (7) ◽  
pp. 2554-2570
Author(s):  
Weixin Wang ◽  
Shizhen Wang ◽  
Jiafu Su
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Supply Chain Scheduling ◽  
Scheduling Optimization ◽  
Integrated Production ◽  
Decentralized Decision Making ◽  
Transportation Scheduling ◽  
The Impact

Carbon emission constraints and trading policies in e-commerce environments have brought huge challenges to the operation of supply chain enterprises. In order to ensure the good operation of the e-commerce supply chain in a low-carbon environment, a supply chain scheduling optimization method based on integration of production and transportation with carbon emission constraints is proposed; we use it to analyze the impact of centralized decision-making mode and decentralized decision-making mode on supply chain scheduling and establish a scheduling optimization model that aims at optimal carbon emissions and costs. A multilevel genetic algorithm was designed according to the characteristics of the model, and numerical examples are used to verify the effectiveness of the model and algorithm. The results show that the centralized decision-making mode plays the role of the carbon emission constraints to the greatest extent; the carbon emissions and the cost are smallest in the centralized decision-making mode. The decentralized decision-making mode leads to the overall cost preference of the supply chain due to separate decisions made by enterprises, and the carbon emissions in the supply chain are greater. Transportation experts, business managers and government departments are interesting for integrated production and transportation scheduling in e-commerce supply chain with carbon emission constraints. Further research should address integrated production and transportation scheduling in dual-channel low supply chains.

scholarly journals Optimal Operational Decision Making of Manufacturers and Authorized Remanufacturers with Patent Licensing under Carbon Cap-and-Trade Regulations

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Biyu Liu ◽  
Zhongsheng Hua ◽  
Qinhong Zhang ◽  
Haidong Yang ◽  
Athanasios Migdalas
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Environmental Benefits ◽  
Cap And Trade ◽  
Royalty Rate ◽  
Yield Rate ◽  
Decentralized Decision Making ◽  
Total Profit ◽  
Operational Decision Making

Constrained by production capacity and the pressure to reduce emissions, many original equipment manufacturers (OEMs) authorize third-party remanufacturers (TPRs) to remanufacture patented products. We investigate the operational decisions of OEMs and authorized TPRs under carbon cap-and-trade regulations in a two-echelon supply chain. We first formulate an operational decision model for OEMs before a TPR enters. Then, for the cases of centralized and decentralized decision making, we formulate an operational decision-making model for the TPR and, subsequently, establish one for the OEM after the TPR enters. We further analyze the effects of carbon emissions cap, trading price of carbon permits, yield rate, and consumer willingness to pay (WTP) on optimal decisions. Our results indicate: whether TPRs accept authorization remanufacturing depending on the ratio of carbon emissions cap to carbon emissions for producing per remanufactured product; royalty rate is negatively affected by trading price of carbon permits and per remanufactured product’ carbon emissions other than that for per new product, and can offset the threat caused by TPRs; the implementation of carbon cap-and-trade regulations causes OEMs to charge TPRs lower royalty rate; centralized decision making increases the total profit of the supply chain and delivers superior environmental benefits. As yield rate and WTP increase, the total profit increases, increasingly sensitive to WTP.

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.

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