Why do we suggest small sectoral coverage in China’s carbon trading market?
Journal of Cleaner Production, ISSN: 0959-6526, Vol: 257, Page: 120557
2020
- 37Citations
- 39Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
The coverage of Emission Trading Scheme (ETS) has been widely discussed. Based on the plans of the various stages of the National Development and Reform Commission in China, we explore the different impacts of different plans by applying recursive dynamic computable general equilibrium. What we found is different. Covering more industries, carbon prices will be lower so that the emission reduction motivation of each covering enterprises will be reduced. However, the resource attributes of carbon emission allowance will gradually emerge. In general, we found that the changes in the sectoral coverage will bring about the changes in the two effects in ETS market: carbon price effect and the allocation effect. The interaction of the two effects has led to a positive impact of both low-coverage and high-coverage on reducing emissions and improving the energy efficiency. This paper suggests that just covering three enterprises that are easy-to-MRV (monitoring, reporting, and verification) is enough for emissions reduction: cement, chemical and electric power, which can also achieve high emission reduction efficiency and can effectively reduce supervision cost.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0959652620306041; http://dx.doi.org/10.1016/j.jclepro.2020.120557; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85079655928&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0959652620306041; https://dx.doi.org/10.1016/j.jclepro.2020.120557
Elsevier BV
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