4.7 Article

Price drivers in the carbon emissions trading scheme: Evidence from Chinese emissions trading scheme pilots

期刊

JOURNAL OF CLEANER PRODUCTION
卷 278, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2020.123469

关键词

Carbon price dynamic; Influencing factors; Chinese emissions trading scheme pilots; Structural breaks

资金

  1. National Natural Science Foundation of China [71934004, 71573013, 71521002, 71642004]
  2. Beijing Natural Science Foundation of China [9152014]
  3. Special Items Fund for Cultivation and Development of Beijing Creative Base [Z171100002217023]
  4. National Key RD Program [2016YFA0602603]
  5. Special Items Fund of Beijing Municipal Commission of Education

向作者/读者索取更多资源

This study examines the price drivers in Chinese carbon emissions trading scheme pilots using structural breaks test and autoregressive distributed lag model. The results indicate that oversupply of allowances, low auction prices, and use of China certified emission reductions will cause carbon prices to decline significantly; while the expansion of carbon market and centralized trading will increase carbon prices. Oil prices are positively correlated with carbon prices, coal prices are negatively related, and prices of chemical and nonferrous products also affect carbon prices in different regions.
Carbon prices are low and fluctuate greatly since Chinese carbon emissions trading scheme pilots were operated. This paper discusses the price drivers in the pilots, using structural breaks test and autoregressive distributed lag model. The results indicate that oversupply of allowances, low auction prices and use of China certified emission reductions will cause remarkable decline on carbon prices; the expansion of carbon market and centralized trading will rise carbon prices. Oil prices are positively correlated with carbon prices, and coal prices are negatively related with carbon prices. Carbon-intensive product prices also affect carbon prices. Chemical prices are positively linked with carbon prices in Shenzhen, while negatively related with those in Beijing and Shanghai, for differences in sectoral coverage. Nonferrous prices have positive impacts on carbon prices in Beijing but negative impacts on those in Shenzhen, for differences in industrial structure. Financial markets and weather have limited impacts on carbon prices. Our results provide policy implications for the development of pilots and the national carbon market. (C) 2020 Elsevier Ltd. All rights reserved.

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