The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights

R&D investment plays a great role in achieving China’s low-carbon economy goals, which has a moderating effect on the relationship between income and carbon emissions. Furthermore, such a moderating effect may have spatial differences, given the possible spatial dependence of carbon emissions. Therefore, this paper explores the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998⁻2015. The empirical results firstly indicate that R&D investment moderates the positive impact of income on local carbon emissions for both the non-spatial and spatial model, and that more R&D investment can make carbon emissions reach the turning point earlier. Secondly, R&D investment in the local province increases the positive influence of local income on neighboring carbon emissions, which mainly results from the transfer effect of carbon emissions rather than the knowledge spillovers effect. The results are indicated to be robust by three types of robustness analyses. Finally, FDI and patents are the main constrained forces of local and neighboring carbon emissions; coal consumption is the main driver of local carbon emissions

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

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 corridorsThis work was supported by Australia’s Department of Foreign Affairs and Trade (Australia-China Research Program on Market Mechanisms for Climate Change Policy) [grant number CCA141504] and The National Natural Science Foundation of China [grant number 71503087]

Photochemically controlled synthesis of anisotropic Au nanostructures : platelet-like Au nanorods and six-star Au nanoparticles

We report the shape-controlled synthesis of anisotropic Au nanostructures through TiO2-assisted photochemical reduction of HAuCl4. By using this method, we have successfully synthesized the platelet-like Au nanorods and six-star Au nanoparticles. Importantly, the platelet Au nanorod exhibits the unique asymmetric five-twinned structure. The colloidal TiO2 sols were used as both the photocatalyst to initiate the reaction and the stabilizing agent for the produced Au nanostructures. Significantly, in this photochemical process, the tunable irradiation intensity allows us to kinetically control the crystal evolution at various growth stages, leading to the shape difference of ultimate gold nanostructures. Our synthetic method shows a great potential as an alternative or supplement to the other wet chemical approaches for the shape-control of metallic nanostructures