ABSTRACT
Green innovation (GI) is increasingly recognised as an effective strategy for tackling climate change, mitigating environmental issues, and promoting sustainable development. Using panel data of the Chinese listed firms from 2007 to 2019, this study adopts the difference-in-differences approach to assess the impact of the green finance policy (GFP) initiated by the Chinese government in 2012 on the green innovation performance of firms. The findings reveal that the GFP significantly boosts the green innovation performance of heavily polluting enterprises (HPEs). Notably, this effect is more pronounced in state-owned enterprises and firms with high dependence on external finance. Compared with penalty-based regulations, incentive-based and voluntary environmental regulations demonstrate more significant moderating effects on the relationship between the GFP and green innovation performance for HPEs. We also identify improved efficiency in the usage of green investments as a potential mechanism through which the GFP enhances the green innovation performance of HPEs. Further comparative analysis shows that green enterprises can achieve simultaneous improvement in both the quality and quantity of green innovation, whereas HPEs predominantly exhibit enhancements in innovation quantity. To maximise the GFP's positive effects, it is recommended to facilitate more targeted bank lending towards HPEs to support their structural transformation. Additionally, the coordinated deployment of diverse environmental policy instruments is advised to exploit their synergistic effects.
Subject(s)
Climate Change , Environmental Policy , Government , Investments , Sustainable Development , ChinaABSTRACT
As fossil fuels gradually deplete, oil shale, one of the world's largest energy resources, has attracted much attention. Oil shale semi-coke (OSS) is the main byproduct of oil shale pyrolysis, which is produced in large quantities and causes severe environmental pollution. Therefore, there is an urgent need to explore a method suitable for the sustainable and effective utilization of OSS. In this study, OSS was used to prepare activated carbon by microwave-assisted separation and chemical activation, which was then applied in the field of supercapacitors. Raman, XRD, FT-IR, TEM, and nitrogen adsorption-desorption were adopted to characterize activated carbon. The results showed that ACF activated with FeCl3-ZnCl2/carbon as a precursor has larger specific surface area, suitable pore size, and higher degree of graphitization compared with the materials prepared by other activation methods. The electrochemical properties of several active carbon materials were also evaluated by CV, GCD, and EIS measurements. The specific surface area of ACF is 1478 m2 g-1, when the current density is 1 A g-1, the specific capacitance is 185.0 F g-1. After 5000 cycles of testing, the capacitance retention rate was as high as 99.5%, which is expected to provide a new strategy of converting waste products to low-cost activated carbon materials for high-performance supercapacitors.
ABSTRACT
BACKGROUND: PHIS transposon superfamily belongs to DNA transposons and includes PIF/Harbinger, ISL2EU, and Spy transposon groups. These three groups have similar DDE domain-containing transposases; however, their coding capacity, species distribution, and target site duplications (TSDs) are significantly different. RESULTS: In this study, we systematically identified and analyzed PHIS transposons in 836 sequenced eukaryotic genomes using transposase homology search and structure approach. In total, 380 PHIS families were identified in 112 genomes and 168 of 380 families were firstly reported in this study. Besides previous identified PIF/Harbinger, ISL2EU, and Spy groups, three new types (called Pangu, NuwaI, and NuwaII) of PHIS superfamily were identified; each has its own distinctive characteristics, especially in TSDs. Pangu and NuwaII transposons are characterized by 5'-ANT-3' and 5'-C|TNA|G-3' TSDs, respectively. Both transposons are widely distributed in plants, fungi, and animals; the NuwaI transposons are characterized by 5'-CWG-3' TSDs and mainly distributed in animals. CONCLUSIONS: Here, in total, 380 PHIS families were identified in eukaryotes. Among these 380 families, 168 were firstly reported in this study. Furthermore, three new types of PHIS superfamily were identified. Our results not only enrich the transposon diversity but also have extensive significance for improving genome sequence assembly and annotation of higher organisms.
