Ex-post cap adjustment for China’s ETS: an applicable indexation rule, simulating the Hubei ETS, and implications for a national scheme

Banban Wang, Frank Jotzo and Shaozhou Qi

Climate Policy, 2018, vol. 18, issue 2, 258-273

Abstract: China plans to launch its nationwide Emissions Trading Scheme (ETS) in 2017. Uncertainty in China’s future economic growth rate and its effect on underlying emissions may need to be addressed to ensure stability of the scheme. This article investigates an ex-post cap adjustment mechanism for China’s ETS. An applicable rule for indexation of emissions targets to gross domestic product (GDP) adjustment is presented. Such an ex-post optimal emissions intensity target is estimated in an empirical simulation of the Hubei ETS, a large pilot scheme in a fast-growing Chinese province. And its implications for China’s planned national ETS have been discussed. The article finds that by correcting the emissions cap for the difference between expected and realized GDP, the ex-post adjustment can minimize the abatement costs. It can also limit the influence of uncertainties, as it minimizes the standard deviation of realized abatement, abatement cost, and allowance price for a given expected emissions reduction. In addition, with a limited number of parameters requiring estimation, the ex-post cap adjustment mechanism is feasible. It is consistent with the anticipated design of China’s planned national ETS and could be used alongside other design options such as price corridors.POLICY RELEVANCEIt will be important for the stability of China’s planned national ETS to address uncertainty about future GDP growth which can significantly affect underlying emissions growth. This paper proposes a specific solution, namely an ex-post cap adjustment mechanism for the ETS cap. This method provides flexibility with transparent rules, would be consistent with China’s overall ETS policy design, and could be implemented in practice as the required parameters can be readily estimated.

Date: 2018
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DOI: 10.1080/14693062.2016.1277684

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