The Impact of Government's Carbon Tax Policy on Enterprise's Carbon Emission

2011 ◽  
Author(s):  
Guoxing Zhang ◽  
Jianpeng Zhou ◽  
Peng Liu ◽  
Hua Zhang
Keyword(s):  
Tax Policy ◽  
Carbon Emission ◽  
Carbon Tax ◽  
The Impact

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 Did the Introduction of Carbon Tax in Australia Affect Housing Affordability?

2013 ◽  
Vol 869-870 ◽  
pp. 840-843
Author(s):  
Xin Janet Ge
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Energy Consumption ◽  
Tax Policy ◽  
Carbon Tax ◽  
Housing Affordability ◽  
Greenhouse Emissions ◽  
Pricing Scheme ◽  
The Cost ◽  
The Impact

The Australian carbon pricing scheme (carbon tax) was introduced and became effective on 01 July 2012. The introduction of the carbon tax immediately increases the cost of electricity to a number of industries such as manufacturing and construction. Households were also affected as a result of these costs been passed through the supply chain of the affected industries. The carbon tax policy was introduced to addresses greenhouse emissions and energy consumption in Australia. However, the carbon tax policy may have introduced a number of economic risk factors to the Australian housing market, in particular the impact of housing affordability.

scholarly journals Emission-Intensity-Based Carbon Tax and Its Impact on Generation Self-Scheduling

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 777 ◽  
Author(s):  
Ping Che ◽  
Yanyan Zhang ◽  
Jin Lang
Keyword(s):  
Electricity Market ◽  
Emission Intensity ◽  
Tax Policy ◽  
Programming Model ◽  
Carbon Tax ◽  
Electric Power Industry ◽  
Decomposition Algorithm ◽  
Mixed Integer ◽  
Tax Rate ◽  
The Impact

We propose an emission-intensity-based carbon-tax policy for the electric-power industry and investigate the impact of the policy on thermal generation self-scheduling in a deregulated electricity market. The carbon-tax policy is designed to take a variable tax rate that increases stepwise with the increase of generation emission intensity. By introducing a step function to express the variable tax rate, we formulate the generation self-scheduling problem under the proposed carbon-tax policy as a mixed integer nonlinear programming model. The objective function is to maximize total generation profits, which are determined by generation revenue and the levied carbon tax over the scheduling horizon. To solve the problem, a decomposition algorithm is developed where the variable tax rate is transformed into a pure integer linear formulation and the resulting problem is decomposed into multiple generation self-scheduling problems with a constant tax rate and emission-intensity constraints. Numerical results demonstrate that the proposed decomposition algorithm can solve the considered problem in a reasonable time and indicate that the proposed carbon-tax policy can enhance the incentive for generation companies to invest in low-carbon generation capacity.

scholarly journals Impact of Asymmetric Carbon Information on Supply Chain Decisions under Low-Carbon Policies

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Lei Yang ◽  
Jingna Ji ◽  
Chenshi Zheng
Keyword(s):  
Supply Chain ◽  
Tax Policy ◽  
Carbon Emission ◽  
Stackelberg Game ◽  
Carbon Tax ◽  
Emission Trading ◽  
Low Carbon ◽  
High Carbon ◽  
Allocation Mechanism ◽  
Asymmetric Carbon

Through the establishment of the leading manufacturer Stackelberg game model under asymmetric carbon information, this paper investigates the misreporting behaviors of the supply chain members and their influences on supply chain performance. Based on “Benchmarking” allocation mechanism, three policies are considered: carbon emission trading, carbon tax, and a new policy which combined carbon quota and carbon tax mechanism. The results show that, in the three models, the leader in the supply chain, even if he has advantages of carbon information, will not lie about his information. That is because the manufacturer’s misreporting behavior has no effect on supply chain members’ performance. But the retailer will lie about the information when he has carbon information advantage. The high-carbon-emission retailers under the carbon trading policy, all the retailers under the carbon tax policy, and the high-carbon-emission retailers under combined quotas and tax policy would like to understate their carbon emissions. Coordination of revenue sharing contract is studied in supply chain to induce the retailer to declare his real carbon information. Optimal contractual parameters are deduced in the three models, under which the profit of the supply chain can be maximized.

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