scholarly journals Carbon Prices for The Next Hundred Years

2017 ◽  
Vol 128 (609) ◽  
pp. 728-757 ◽  
Author(s):  
Reyer Gerlagh ◽  
Matti Liski
Keyword(s):  
Author(s):  
Vladimir Franki ◽  
Vladimir Valentic ◽  
Alfredo Viskovic

2009 ◽  
Vol 26 (1) ◽  
pp. 35-37 ◽  
Author(s):  
Lena S. Fletcher ◽  
David Kittredge ◽  
Thomas Stevens

Abstract Sequestered carbon is a new forest product that could help private forest owners earn financial returns while keeping their forests intact. Private forest owners are responsible for 78% of forests in Massachusetts, and the carbon these trees sequester could be traded in emerging cap-and-trade carbon markets in the United States. In forming policy about climate change and forestry, it is important to understand the factors that influence the likelihood of landowners choosing to sell sequestered carbon and participate in the carbon marketplace. In this pilot study, we explored the likelihood of Massachusetts forest owners selling carbon sequestered on their forestland. We found that landowners significantly favor higher payments, no withdrawal penalty, and, unexpectedly, longer time commitments. We also found that at current carbon prices, very few participants (less than 7%) would be willing to sell. Additional studies need to be conducted, with a larger sample of respondents, which may elucidate how socioeconomic variables and ownership attitudes influence forest owners' willingness to enroll in carbon markets.


Joule ◽  
2018 ◽  
Vol 2 (12) ◽  
pp. 2494-2498 ◽  
Author(s):  
Anthony Patt ◽  
Johan Lilliestam
Keyword(s):  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Hua Xu ◽  
Minggang Wang ◽  
Weiguo Yang

In this paper, a multilayer recurrence network is introduced to examine the information linkage between carbon and energy markets. We first construct a multilayer recurrence network of energy and carbon markets, and we define the information linkage coefficient to measure the linkage relationship between the network layers based on the network microstructure. To measure the mutual leading relationship between carbon and energy markets, we construct a time-delay multilayer recurrence network and introduce the time-delay information linkage coefficient to measure the intersystem interaction. The carbon and energy prices, including West Texas Intermediate crude oil, coal, natural gas, and gasoline, from February 22, 2011, to April 1, 2019, are selected as sample data for empirical analysis. The results show that the linkage relationship between oil, coal, natural gas, and carbon prices presents a U-shaped trend in the second, transitional, and third phases of the European Union carbon market, while the linkage trend of gasoline and carbon prices continues to rise. The mutual leading relationship between energy and carbon prices changes in different stages, and carbon price plays a leading role at the present stage.


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