Impact of an emissions trading scheme on Australian households: A computable general equilibrium analysis

Tran, Trang Minh; Siriwardana, Mahinda; Meng, Samuel; Nong, Duy

doi:10.1016/j.jclepro.2019.02.273

Cited by 39 publications

(11 citation statements)

References 31 publications

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“…They found the 3E approach was better than the ancestral approach in some respects in the case of Guangdong province. Tran et al [6] analyzed the relationship between an emissions trading scheme and various revenue recycling options using the case of Australian households. Results showed that Australia’s real GDP contracted slightly because of emission permit prices.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors

Shi

Huang

2019

IJERPH

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In this paper, we developed a dynamic price game model for a low-carbon, closed-loop supply chain system in which (1) the manufacturer had fairness concern and carbon emission reduction (CER) behaviors, and market share and profit maximization were their objectives, and (2) the retailer showed fairness concern behaviors in market competition and provided service input to reduce return rates. The retailer recycled old products from customers, and the manufacturer remanufactured the recycled old products. The effects of different parameter values on the stability and utility of the dynamic price game model were determined through analysis and numerical simulation. Results found that an increasing customer loyalty to the direct marketing channel decreased the stable region of the manufacturer’s price adjustment and increase that of the retailer. The stable region of the system shrank with an increase of CER and the retailer’s service level, which expanded with return rates. The dynamic system entered into chaos through flip bifurcation with the increase of price adjustment speed. In the chaotic state, the average utilities of the manufacturer and retailer all declined, while that of the retailer declined even more. Changes to parameter values had a great impact on the utilities of the manufacturer and retailer. By selecting appropriate control parameters, the dynamic system can return to a stable state from chaos again. The research of this paper is of great significance to participants’ price decision-making and supply chain operation management.

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Section: Introductionmentioning

confidence: 99%

A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors

Shi

Huang

2019

IJERPH

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“…This indicates, that poorer households will have a higher propensity to reduce their emissions than richer as the carbon price will constitute a higher share of their budget. On the other hand, the results demonstrate that redistributing the revenues from carbon certificates in the same proportion that payments from government to households are made today to various income quintiles can work as a tool to decrease income inequality, as shown in references [15,17], because the poorer households derive a higher share of their income from government payments and would, therefore, observe higher gross income growth than richer households.…”

Section: Discussionmentioning

confidence: 86%

“…In terms of administrative costs, they posit that a targeted approach would be more efficient as it would be conducted through the existing welfare system channels, while a lump-sum transfer to all households would require the establishment of a new channel to disburse the funds. Work by Tran et al [17] analyzed the impact of emission reduction in Australia by 2020 by using a static CGE model. Without revenue compensating mechanisms, they find a decline in Australia's GDP by 0.285%-0.3% by 2020 as well as a decrease in welfare for all 20 household categories.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Distributional Impacts of European Cap-and-Trade Climate Policies: A CGE Multi-Regional Analysis

et al. 2019

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Carbon pricing is a policy with the potential to reduce CO2 emissions in the household sector and support the European Union in achieving its environmental targets by 2050. However, the policy faces acceptance problems from the majority of the public. In the framework of the project Role of technologies in an energy efficient economy–model-based analysis of policy measures and transformation pathways to a sustainable energy system (REEEM), financed by the European Commission under the Horizon 2020 program, we investigate the effects of such a policy in order to understand its challenges and opportunities. To that end, we use a recursive-dynamic multi-regional Computable General Equilibrium model to represent carbon pricing as a cap-and-trade system and calculate its impacts on consumption of energy goods, incidence of carbon prices, and gross income growth for different income groups. We compare one reference scenario and four scenario variations with distinct CO2 reduction targets inside and outside of the EU. The results demonstrate that higher emission reductions, compared to the reference scenario, lead to slower Gross Domestic Product growth, but also produce a more equitable increase of gross income and can help reduce income inequalities. In this case, considering that the revenues of carbon pricing are paid back to the households, the gross income of the poorest quintile grows as much as, or even more in some cases, than the gross income of the richest quintile.

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“…It describes sectoral interactions in the economy and can simulate the impacts and feedback from energy and environmental policy shocks on energy, the economy, and the environment. Therefore, it is widely used in energy and environmental policy evaluation (Pui and Othman, 2017;Li et al, 2018;Tran et al, 2019). As a top-down macro-model, CGE has the advantage of simulating the impact of policy on macroeconomic activities, but it has difficulty describing microcharacteristics in energy, emissions reduction technology, cost, and so on.…”

Section: Resource Areasmentioning

confidence: 99%

The Impacts of Reducing Renewable Energy Subsidies on China's Energy Transition by Using a Hybrid Dynamic Computable General Equilibrium Model

Guo¹,

Zhang²,

Feng³

et al. 2020

Front. Energy Res.

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This paper develops a hybrid computable general equilibrium model to explore the impacts of reducing renewable energy subsidies on China's energy transition in various scenarios. The results of the benchmark scenario indicate that China can realize its regulatory goals in energy consumption and structure and carbon emission intensity in 2030. This paper sets various policy scenarios to simulate the impacts of reducing renewable subsidies between 2021 and 2030. The analytical results of the scenarios indicate that the government's 2030 target for total energy and natural gas consumption and carbon emission intensity can be achieved. However, the target for non-fossil energy is hard to fulfill when the renewable energy subsidy is reduced. The empirical results also indicate that a moderate renewable energy subsidy associated with significant technical progress in renewable energy is a crucial way for China to fulfill government targets and energy transition in 2030.

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Impact of an emissions trading scheme on Australian households: A computable general equilibrium analysis

Cited by 39 publications

References 31 publications

A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors

A Dynamic Price Game Model in a Low-Carbon, Closed-Loop Supply Chain Considering Return Rates and Fairness Concern Behaviors

Long-Term Distributional Impacts of European Cap-and-Trade Climate Policies: A CGE Multi-Regional Analysis

The Impacts of Reducing Renewable Energy Subsidies on China's Energy Transition by Using a Hybrid Dynamic Computable General Equilibrium Model

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