Implications of CO2 emissions trading for short-run electricity market outcomes in northwest Europe

2008 ◽  
Vol 34 (3) ◽  
pp. 251-281 ◽  
Author(s):  
Yihsu Chen ◽  
Jos Sijm ◽  
Benjamin F. Hobbs ◽  
Wietze Lise
Keyword(s):  
Co2 Emissions ◽  
Electricity Market ◽  
Emissions Trading ◽  
Market Outcomes ◽  
Northwest Europe ◽  
Short Run

Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement

2010 ◽  
Vol 100 (3) ◽  
pp. 837-869 ◽  
Author(s):  
Meredith Fowlie
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Emissions Trading ◽  
Pollution Abatement ◽  
State Level ◽  
Economic Regulation ◽  
Market Outcomes ◽  
Capital Intensive ◽  
Trading Program ◽  
Stationary Sources

This paper analyzes an emissions trading program that was introduced to reduce smog-causing pollution from large stationary sources. Using variation in state level electricity industry restructuring activity, I identify the effect of economic regulation on pollution permit market outcomes. There are two main findings. First, deregulated plants in restructured electricity markets were less likely to adopt more capital intensive environmental compliance options as compared to regulated or publicly owned plants. Second, as a consequence of heterogeneity in electricity market regulations, a larger share of the permitted pollution is being emitted in states where air quality problems tend to be more severe. (JEL L51, L94, L98, Q53, Q58)

Studying the effects of CO2 emissions trading on the electricity market: A multi-agent-based approach

2008 ◽  
pp. 91-101 ◽  
Author(s):  
Anke Weidlich ◽  
Frank Sensfuß ◽  
Massimo Genoese ◽  
Daniel Veit
Keyword(s):  
Co2 Emissions ◽  
Electricity Market ◽  
Emissions Trading ◽  
Agent Based ◽  
Multi Agent

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

scholarly journals Deployment of CCS Technologies across the Load Curve for a Competitive Electricity Market as a Function of CO2 Emissions Permit Prices

2011 ◽  
Vol 4 ◽  
pp. 5762-5769 ◽  
Author(s):  
P. Luckow ◽  
M.A. Wise ◽  
J.J. Dooley
Keyword(s):  
Co2 Emissions ◽  
Electricity Market ◽  
Load Curve ◽  
Ccs Technologies

scholarly journals Role of Information and Communication Technology, Foreign Direct Investment and Trade Openness in Environmental Sustainability

2021 ◽  
Vol 7 (2) ◽  
pp. 263-272
Author(s):  
Sulaman Hafeez Siddiqui ◽  
Sohail Saeed ◽  
Areeba Khan ◽  
Hina Bhatti
Keyword(s):  
Co2 Emissions ◽  
Information And Communication Technologies ◽  
Environmental Sustainability ◽  
Trade Openness ◽  
Communication Technologies ◽  
Fdi Inflows ◽  
Long Run ◽  
Short Run ◽  
Information And Communication ◽  
The Government

Purpose: The benefits of Information and Communication Technologies (ICTs) in environmental resource management has been a topic of hot discussion for the policymakers across the world.  For the purpose, the government of Pakistan took initiative in 2018 to use technology for the country’s social welfare, financial benefits and to enhance environmental sustainability and named it as “Digital Pakistan Initiative”.Design/Methodology/Approach: For analysis, this study took CO2 emissions as the dependent variable and ICT, FDI inflows, and Trade Openness as independent variables. Data were collected on bimonthly basis from 2004 through 2019, and analyzed employing ARDL approach. Main purpose of the study was to examine the short-run and long-run relationship among carbon emissions and ICT, FDI Inflows and Trade Openness.Findings: The findings show that there exists a short-run relationship among all the variables; however, FDI inflows and trade openness have a significant relationship with CO2 emissions. The results also exhibit that there is no long-run relationship between CO2 emissions, FDI inflows, and Trade openness while ICT has an insignificant long-run relationship with CO2 emissions. With the increase of information and communication, the country’s environmental sustainability is also increased. Implications/Originality/Value: The current study was based on least considered variables and the pioneer in testing the complex relationship through VAR estimation.

scholarly journals Does Biology Drive Child Penalties? Evidence from Biological and Adoptive Families

2021 ◽  
Vol 3 (2) ◽  
pp. 183-198
Author(s):  
Henrik Kleven ◽  
Camille Landais ◽  
Jakob Egholt Søgaard
Keyword(s):  
Labor Market Outcomes ◽  
Adoptive Families ◽  
Market Outcomes ◽  
Biological Mothers ◽  
Long Run ◽  
Adoptive Mothers ◽  
Mother And Child ◽  
Short Run ◽  
Key Driver ◽  
The Impact

This paper investigates whether the impact of children on the labor market outcomes of women relative to men—child penalties—can be explained by the biological links between mother and child. We estimate child penalties in biological and adoptive families using event studies around the arrival of children and almost 40 years of adoption data from Denmark. Short-run child penalties are slightly larger for biological mothers than for adoptive mothers, but their long-run child penalties are virtually identical and precisely estimated. This suggests that biology is not a key driver of child-related gender gaps. (JEL J12, J13, J16)

scholarly journals Modeling of Electricity Market based on Cournot Theory in consideration of Emissions Trading

2014 ◽  
Vol 24 (4) ◽  
pp. 379-384
Author(s):  
Kwang-Ho Lee ◽  
Wook Kim
Keyword(s):  
Electricity Market ◽  
Emissions Trading

Capturing Electricity Market Dynamics in the Optimal Trading of Strategic Agents using Neural Network Constrained Optimization

2021 ◽  
Author(s):  
Mihály Dolányi ◽  
Kenneth Bruninx ◽  
Jean-François Toubeau ◽  
Erik Delarue
Keyword(s):  
Neural Network ◽  
Electricity Markets ◽  
Electricity Market ◽  
Mathematical Program ◽  
Market Dynamics ◽  
Equilibrium Constraints ◽  
Market Outcomes ◽  
Optimal Trading ◽  
Optimal Bidding ◽  
Upper Level

In competitive electricity markets the optimal trading problem of an electricity market agent is commonly formulated as a bi-level program, and solved as mathematical program with equilibrium constraints (MPEC). In this paper, an alternative paradigm, labeled as mathematical program with neural network constraint (MPNNC), is developed to incorporate complex market dynamics in the optimal bidding strategy. This method uses input-convex neural networks (ICNNs) to represent the mapping between the upper-level (agent) decisions and the lower-level (market) outcomes, i.e., to replace the lower-level problem by a neural network. In a comparative analysis, the optimal bidding problem of a load agent is formulated via the proposed MPNNC and via the classical bi-level programming method, and compared against each other.

scholarly journals Effects of a Delayed Expansion of Interconnector Capacities in a High RES-E European Electricity System

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3098
Author(s):  
Ritter ◽  
Meyer ◽  
Koch ◽  
Haller ◽  
Bauknecht ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Electricity Market ◽  
Electricity Generation ◽  
Power Plants ◽  
Energy Transition ◽  
Market Model ◽  
Electricity Trading ◽  
Electricity System ◽  
System A ◽  
The Impact

In order to achieve a high renewable share in the electricity system, a significant expansion of cross-border exchange capacities is planned. Historically, the actual expansion of interconnector capacities has significantly lagged behind the planned expansion. This study examines the impact that such continued delays would have when compared to a strong interconnector expansion in an ambitious energy transition scenario. For this purpose, scenarios for the years 2030, 2040, and 2050 are examined using the electricity market model PowerFlex EU. The analysis reveals that both CO2 emissions and variable costs of electricity generation increase if interconnector expansion is delayed. This effect is most significant in the scenario year 2050, where lower connectivity leads roughly to a doubling of both CO2 emissions and variable costs of electricity generation. This increase results from a lower level of European electricity trading, a curtailment of electricity from a renewable energy source (RES-E), and a corresponding higher level of conventional electricity generation. Most notably, in Southern and Central Europe, less interconnection leads to higher use of natural gas power plants since less renewable electricity from Northern Europe can be integrated into the European grid.

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