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You searched for subject:(Chinese carbon market). Showing records 1 – 2 of 2 total matches.

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University of Edinburgh

1. Jiang, Mengfei. Managing incentives for greenhouse gas emission reduction.

Degree: PhD, 2019, University of Edinburgh

The Paris Agreement sets out the goal of limiting the increase in global average temperature to within 2°C. Incentive mechanisms and low-carbon policies, such as emission trading schemes (ETS), feed-in tariffs, carbon taxation, renewable obligation and emission performance standards, are key instruments for achieving greenhouse gas emissions reduction. The cap-and-trade ETS is one of the most popular policy instruments in controlling greenhouse gas emissions. The carbon price quoted from the ETS allowances price is usually considered by investors as the economic value of carbon emissions in formulating a long-term investment decision. However, the allowances price is currently quite low across jurisdictions. Thus, in order to incentivise large-scale and long-term low-carbon investment, a clear and strong carbon pricing signal is essential. There are divergent but increasingly prevalent views that additional policies may affect carbon prices, as the emission reduction effect of parallel policies would reduce the demand for allowances in the ETS, thus lower carbon prices could hamper the ETS's capacity to promote low-carbon technologies over the medium and long term. This PhD study investigates how parallel energy and climate policies might affect carbon pricing in ETS and illustrates stakeholders' views on this impact. The study defines the 'cross-over effect' of parallel energy and climate policies. A two-stage survey, including a closed-form questionnaire followed by open interviews, was conducted to elicit views and expectations of stakeholders on one of the carbon markets in China, the Guangdong ETS pilot, with an emphasis on perspectives on how the ETS may interact with other existing or proposed low-carbon and clean energy policies. Our survey results show that academic stakeholders, more than stakeholders from other sectors, viewed the policy interactions as a significant issue for developing a carbon market in China, and there was a positive correlation between recognition of such policy interactions and the time spent on energy saving and emission reduction policies. Relatively few respondents identified correctly the fact that both increasing renewable targets and imposing a carbon tax in addition to an existing ETS would be expected to depress prices in the ETS. Apart from government respondents, all other key stakeholders generally lacked confidence in China's carbon markets, due to their lack of knowledge and information about the market and their concerns regarding uncertainties and failures in government policy and regulation. Subsequently, an empirical study was conducted to probe the underlying rationality of pricing behaviour and the effect of policy interaction with low-carbon policy in seven ETS pilots in China using ordinary least square and event-based regression. The empirical results show that, first, crude oil and domestic liquid natural gas are positively linked to the allowance price in the Beijing, Shanghai and Guangdong pilots, while coal price lacks explanatory power. Second, extreme…

Subjects/Keywords: emission trading schemes; cap-and-trade; carbon emissions; carbon pricing; greenhouse gas emissions reduction; climate policies; energy policies; carbon tax; renewable targets; emissions markets; Chinese carbon market

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APA (6th Edition):

Jiang, M. (2019). Managing incentives for greenhouse gas emission reduction. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/35597

Chicago Manual of Style (16th Edition):

Jiang, Mengfei. “Managing incentives for greenhouse gas emission reduction.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed December 07, 2019. http://hdl.handle.net/1842/35597.

MLA Handbook (7th Edition):

Jiang, Mengfei. “Managing incentives for greenhouse gas emission reduction.” 2019. Web. 07 Dec 2019.

Vancouver:

Jiang M. Managing incentives for greenhouse gas emission reduction. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/1842/35597.

Council of Science Editors:

Jiang M. Managing incentives for greenhouse gas emission reduction. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/35597

2. CHEN JUN RUI. Quantitative Models in Carbon Emission Market.

Degree: 2014, National University of Singapore

Subjects/Keywords: Carbon emission; Optimal control; EU ETS; CDM; Extended cap-and-trade scheme; Chinese emission market

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

RUI, C. J. (2014). Quantitative Models in Carbon Emission Market. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/119800

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

RUI, CHEN JUN. “Quantitative Models in Carbon Emission Market.” 2014. Thesis, National University of Singapore. Accessed December 07, 2019. http://scholarbank.nus.edu.sg/handle/10635/119800.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

RUI, CHEN JUN. “Quantitative Models in Carbon Emission Market.” 2014. Web. 07 Dec 2019.

Vancouver:

RUI CJ. Quantitative Models in Carbon Emission Market. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2019 Dec 07]. Available from: http://scholarbank.nus.edu.sg/handle/10635/119800.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

RUI CJ. Quantitative Models in Carbon Emission Market. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/119800

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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