Barriers to personal carbon trading in the policy arena

2017 ◽  
pp. 353-368
Author(s):  
Yael Parag ◽  
Nick Eyre
Keyword(s):  
2010 ◽  
Vol 10 (4) ◽  
pp. 353-368 ◽  
Author(s):  
YAEL PARAG ◽  
NICK EYRE
Keyword(s):  

Nature ◽  
2009 ◽  
Author(s):  
Stephen Pincock

Author(s):  
Julio H. Cole

Milton Friedman, who died in the early morning of November 16, 2006, was a world-famous economist, and an ardent and effective advocate of the free market economy. Much of his celebrity derived from his role as public intellectual, an aspect of his work that was reflected largely in popular books, such as Capitalism and Freedom (1962) and the hugely successful Free to Choose (1980) -both co-authored with his wife, Rose (and the latter based on the television documentary of the same title)- and in the Newsweek opinion columns he wrote for many years. Though he was already well-known by the time he received the Nobel Prize in Economics, in 1976, both his stature as public figure and his effectiveness as policy advocate were greatly enhanced by that award, and this is what has been mostly stressed in the vast outpouring of obituaries and public testimonials prompted by his recent passing. It is important to recall, however, that there was another aspect of his career, one which most professional economists (and probably Friedman himself) would regard as far more important than his incursions in the policy arena. Indeed, even if "Friedman the public intellectual" had never existed, "Friedman the economic scientist" would still be renowned and respected (though perhaps not as a bona fide world-class celebrity), and his memory will live long in the lore of economics It is primarily this other aspect of his life and work that I wish to focus on in this essay.


ORDO ◽  
2019 ◽  
Vol 2019 (70) ◽  
pp. 125-165
Author(s):  
Stephan Wolf ◽  
Nils Goldschmidt
Keyword(s):  
Eu Ets ◽  

ZusammenfassungMit diesem Beitrag schlagen wir einen zweistufigen Weg zu einer effektiven deutschen Klimapolitik vor. Die erste Stufe orientiert sich an der Schweizer CO2-Abgabe: Ab 2020 soll der Kohlendioxidausstoß im privaten Heizenergie- und Verkehrsbereich besteuert werden, da beide Sektoren nicht im EU-Emissionshandel erfasst werden. Wie im Schweizer Modell fließt das Steueraufkommen durch Transfers und Investitionen an die Bevölkerung zurück. Allerdings soll die direkte Rückerstattung auf die Hälfte der Steuereinnahmen beschränkt und auf das einkommensschwächste Drittel der Haushalte konzentriert werden. Die andere Hälfte soll zur Förderung des ländlichen ÖPNV und zur energetischen Sanierung von Mietshäusern eingesetzt werden. Damit wird Klimaschutz – ein Gebot intergenerationeller Gerechtigkeit – im Sinne einer Sozialen Marktwirtschaft umgesetzt: Der Klimaschutzbeitrag jedes Einzelnen orientiert sich auch an Leistungsfähigkeit und Bedürftigkeit. Ab 2030 sollte der zweite Schritt unseres Ansatzes einsetzen und das Steuermodell sukzessive in einen verbraucherbasierten Emissionshandel überführt werden. Ein funktionierendes Personal Carbon Trading System ist allerding technisch und rechtlich komplexer als eine CO2-Steuer. Die sofortige Umsetzung von Stufe eins schafft das nötige Zeitfenster für die Vorbereitung eines Zertifikatesystems für Heizenergie und Mobilität. Die oft angeführten Nachteile eines solchen Systems – hohe Transaktions- und Administrationskosten – halten wir aufgrund der Fortschritte in der Informationstechnologie bereits heute für händelbar. Dafür hätte ein solches System gegenüber einer Steuer folgende Vorteile: Es ist mit dem EU-ETS kompatibel, Emissionsziele werden sicher erreicht und jeder Verbraucher erkennt direkt, für welche CO2-Emissionen er persönlich verantwortlich ist.


2021 ◽  
Vol 13 (8) ◽  
pp. 4592
Author(s):  
Fabio Bothner

The number of emission trading and carbon taxation schemes implemented has grown rapidly over the past decade. Together, they cover approximately 16% of global greenhouse gas (GHG) emissions. Although more than two-thirds of global GHG emissions are related to household consumption, approaches that directly target households, such as personal carbon trading (PCT), do not play a role in the fight against climate change. This is especially puzzling as measures taken so far are not sufficient to reach the 2 °C target. One clue to solving this puzzle comes from political science in the form of the multiple streams approach, which defines criteria that a policy proposal must meet to become part of the political agenda. Based on these criteria, this article conducts a systematic review on PCT to clarify why PCT does not play a role in the reduction of GHG emissions. The results show that there are three main problems with the PCT proposal. First, scholars often criticize the set-up costs as well as the running costs of such a system. Second, there is no clear consensus within the research community on public acceptance of PCT. Third, it is still unclear whether politicians are receptive to PCT or not.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1328
Author(s):  
Jianguo Zhou ◽  
Shiguo Wang

Carbon emission reduction is now a global issue, and the prediction of carbon trading market prices is an important means of reducing emissions. This paper innovatively proposes a second decomposition carbon price prediction model based on the nuclear extreme learning machine optimized by the Sparrow search algorithm and considers the structural and nonstructural influencing factors in the model. Firstly, empirical mode decomposition (EMD) is used to decompose the carbon price data and variational mode decomposition (VMD) is used to decompose Intrinsic Mode Function 1 (IMF1), and the decomposition of carbon prices is used as part of the input of the prediction model. Then, a maximum correlation minimum redundancy algorithm (mRMR) is used to preprocess the structural and nonstructural factors as another part of the input of the prediction model. After the Sparrow search algorithm (SSA) optimizes the relevant parameters of Extreme Learning Machine with Kernel (KELM), the model is used for prediction. Finally, in the empirical study, this paper selects two typical carbon trading markets in China for analysis. In the Guangdong and Hubei markets, the EMD-VMD-SSA-KELM model is superior to other models. It shows that this model has good robustness and validity.


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