Search

This paper uses a sample of 1,867 firms that participate in the "Top-10,000 Energy- Consuming Enterprises Program" in China and aims to identify strategic traders in its pilot emissions trading scheme. Firms included in the ETS can exert their market power and manipulate allowance prices to achieve low compliance costs, which will consequently influence the effectiveness of this platform. This is of great importance to regulators or designers of this system in identifying these strategic traders and understanding their impact. We follow the basic principle proposed by Godal (2005) and develop a simple and implementable empirical procedure to study firm-level data from seven pilot programs in China. The results show that strategic traders exist with clear regional and sectoral differences. As a consequence of strategic trading by these firms, the overall volume of trading falls remarkably, with a clear increase in total compliance costs. [ABSTRACT FROM AUTHOR]

The intention of this paper is to (i) introduce a multi-regional dynamic emissions trading model and (ii) examine the potential impact of an emissions trading scheme (ETS) on the long-term evolution of energy technologies from national and regional perspectives in China. The establishment of this model is a salutary attempt to Sinicize the global integrated assessment model that combines economy, energy, and environment systems. The simulation results indicate that: (1) for majority of regions, ETS is more effective in cutting CO2 emissions than a harmonized carbon tax (HCT), but this might not be true for the entire country, which means that these two options have little difference in overall carbon reduction; (2) carbon tax policy is a more cost-effective option in curbing CO2 with respect to ETS in the long run; (3) neither ETS nor pure carbon tax provide enough incentives for the breakthrough of carbon-free energy technologies, which illustrates that matching with some other support policies, such as subsidies and R&D investment, is essential to extend the niche market; and (4) In the context of ETS, the diffusion of non-fossil technologies in regions that act as sellers performs much better than this diffusion in the buyer regions. [ABSTRACT FROM AUTHOR]