Carbon tax based on the emission factor: a bilevel programming approach

Almutairi, Hossa; Elhedhli, Samir

doi:10.1007/s10898-013-0068-8

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…Objective Solution [3] lot-sizing carbon price min costs analytical [4] green investment cap-and-trade max profit analytical [5] inventory-routing cap-and-trade min costs branch and price [6] green investments cap-and-trade min total costs analytical [7] reverse logistics cap-and-trade max NPV solver [8] revenue sharing cap-and-trade max profit analytical [14] social welfare carbon tax min deviation solver [15] renewable energy carbon credits min credits KKT & algorithm [16] country incentives carbon tax max GDP NSGA-II [17] tax allocation carbon tax max GDP analytical [18] revenue sharing cap-and-trade max profit analytical [19] cooperation cap-and-trade max profit analytical [20] carbon mechanism cap-and-trade max profit analytical…”

Section: Reference Problem Comentioning

confidence: 99%

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Unregulated Cap-and-Trade Model for Sustainable Supply Chain Management

Caramia,

Stecca

2024

Mathematics

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Cap-and-trade models have been largely studied in the literature when it comes to reducing emissions in a supply chain. In this paper, further pursuing the goal of analyzing the effectiveness of cap-and-trade strategies in reducing emissions in supply chains, we propose a mathematical model for sustainable supply chain management. This optimization program aims at reducing emissions and supply chain costs in an unregulated scenario w.r.t. the cap definition, i.e., trading CO2 is allowed but no formal limit on the CO2 emissions is imposed. Also, we considered an initial budget for technological investments by the facilities in the considered supply chain, allowing plants to reduce their unit production emissions at a different unit production cost. For this model, differently from what exists in the literature, we derive some theoretical conditions guaranteeing that, if obeyed, the emissions over time have a non-increasing trend meaning that decreasing caps over time can be attained with a self-regulated scenario. Computational results show the effectiveness of our approach.

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Section: Reference Problem Comentioning

confidence: 99%

“…Ref. [14] study the carbon tax and cap and trade policies using a bilevel programming model. They solve it by using the KKT conditions and assess how the optimal design of the tax system is related to social welfare, inducing cement producers to shift towards more environmentally friendly combustibles.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Unregulated Cap-and-Trade Model for Sustainable Supply Chain Management

Caramia,

Stecca

2024

Mathematics

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“…The problem of electricity market expansion for studying the future generation mix or the CO 2 emission abatement has been studied in [6]- [13], with least cost generation expansion planning models, and in [14]- [21], with imperfectly competitive market evolution models. However, the electricity market expansion problem with emission and fast response dispatchable capacity incentive policies has not been investigated in the literature.…”

Section: B Related Workmentioning

confidence: 99%

“…Incentive policies for renewable energies and emission reduction are also calculated using bilevel optimization models. Minimizing the total technology installation and operation costs in the lower level problem in [12] (or maximizing the social welfare in the lower level problem in [13]), the total policy intervention is minimized in the upper level problem to calculate the incentive policies of renewable subsidization or carbon taxation.…”

Section: B Related Workmentioning

confidence: 99%

Designing tax and subsidy incentives towards a green and reliable electricity market

Masoumzadeh¹,

Alpcan

Nekouei

2020

Energy

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“…Despite the demonstrated advantages of an EIS, little work has been done to investigate the optimal design of EIS scheme parameters. While [14] has considered the design of an optimal tax under an EIS in the context of the cement industry, it does not consider subsidies paid to those below the emissionsintensity baseline. Similarly, while [13] conducts an indepth analysis of the long-run implications of an EIS variant, little work is done to analyse the short-run effects of such a scheme.…”

Section: Introductionmentioning

confidence: 99%

Low-cost greenhouse gas abatement via emission intensities

Xenophon

Zhong

2018

Journal of International Council on Electrical Engineering

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Following recent international commitments to reduce greenhouse gas emissions, governments around the world are considering various emissions abatement strategieswith electricity sectors required to play a key role. Cap-and-trade schemes and carbon taxes are among the most frequently implemented and discussed policy approaches. However, these schemes can have negative economic impacts due to energy price increases, as well as their interactions with pre-existing taxes. An alternative approach, known as an emissions-intensity scheme (EIS), can mitigate the extent of these negative economic consequences. Rather than setting an absolute cap on emissions, an EIS targets the emissions intensities of individual generators by establishing a sector-wide emissions-intensity baseline. The current paper investigates the influence of EIS policy parameters on total emissions, electricity prices, and net scheme revenue. A simulationbased approach is adopted, utilizing a direct current optimal power flow (DC OPF) modelling framework. In doing so, the complementary roles of the emissions price and emissions-intensity baseline are illustrated. Data from the simulation based analysis are then used to demonstrate how, for some systems, an EIS may be calibrated to deliver emissions abatement without increasing electricity prices, and at no cost to the government.

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Carbon tax based on the emission factor: a bilevel programming approach

Cited by 10 publications

References 22 publications

Unregulated Cap-and-Trade Model for Sustainable Supply Chain Management

Unregulated Cap-and-Trade Model for Sustainable Supply Chain Management

Designing tax and subsidy incentives towards a green and reliable electricity market

Low-cost greenhouse gas abatement via emission intensities

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