Pass-through of diesel taxes and the effect on carbon emissions: Evidence from China.

As one of the most important instruments for reducing emissions from fossil fuels, taxes have been widely used in government battles against air pollution and climate change across the world. However, the pass-through of taxes and their effect on emissions are not evident in all situations. This study investigates the pass-through of diesel consumption taxes to retail prices and estimates the consequent effect on diesel consumption and carbon emissions in China. The results show that the pass-through rate of diesel taxes in China is around 0.49. Also, there is a significant effect of an oil company's market share on the pass-through rate. Based on the pass-through rate and estimated price elasticity, we conduct further estimations of the impact on diesel consumption and carbon emissions and find that the increase in the diesel consumption tax in 2014/2015 reduces 1.64% of annual diesel consumption and 0.096% of annual carbon emissions in China.

Intellectual Capital and Financial Performance: Comparison With Financial and Pharmaceutical Industries in Vietnam.

This study investigates the impacts of intellectual capital through Value-Added Intellectual Capital (VAIC) and its components: human capital efficiency (HCE) and structural capital efficiency (SCE) on financial performance in terms of return on assets (ROA) and return on equity (ROE). In addition, this study compares the effects between firms from financial and pharmaceutical industries. A total of 149 Vietnamese firms comprising of 108 financial firms and 41 pharmaceutical firms were examined. Based on the findings, VAIC and HCE show beneficial impacts on both financial performance measures, ROA, and ROE. However, SCE shows adverse and beneficial implications on ROA and ROE, respectively. In terms of industry comparison, VAIC has positive effects on ROA and ROE among the firms from financial industry, whereas it has no effect in the firms from pharmaceutical industry. The effect of HCE on ROA is stronger in the firms from financial industry than firms from pharmaceutical industry while the effect of HCE on ROE is stronger in the firms from pharmaceutical industry than firms from financial industry. The effect of SCE on ROA is stronger in the pharmaceutical firms than financial firms while the effect of SCE on ROE is stronger in the financial firms than pharmaceutical firms. Lastly, the implications of the importance of knowledge-based resources on value creation were elaborated.

Using electricity prices to curb industrial pollution.

In this study, we show that changes in electricity prices in China have significant environmental consequences through its effect on industrial pollution emissions concentrations. To investigate this relationship, we pair a novel dataset of hourly smokestack-level pollutant emissions of industrial plants in Anhui, China with changes in hourly electricity prices. Using a difference-in-differences (DID) regression model, we find that pollution emissions from these plants have an inverse relationship with electricity prices. This relationship is most prominent for firms in the highly competitive and energy-intensive sectors of metals and cement production. On average, we find that a 1% decrease in electricity price leads to around 1%-5.8% increase in sulfur dioxide and particulate matters emissions concentrations. Similarly, we also found impacts on the number of hours in which emissions were observed. These results suggest that electricity prices could be an effective policy tool for managing air pollution - a challenge currently faced by many low- and middle-income countries. More generally, policymakers need to be cognizant that electricity sector-related policies could generate unintended consequences for the environment.

Enhanced Generation of Integration-free iPSCs from Human Adult Peripheral Blood Mononuclear Cells with an Optimal Combination of Episomal Vectors.

We previously reported the generation of integration-free induced pluripotent stem cells from adult peripheral blood (PB) with an improved episomal vector (EV) system, which uses the spleen focus-forming virus U3 promoter and an extra factor BCL-XL (B). Here we show an ∼100-fold increase in efficiency by optimizing the vector combination. The two most critical factors are: (1) equimolar expression of OCT4 (O) and SOX2 (S), by using a 2A linker; (2) a higher and gradual increase in the MYC (M) to KLF4 (K) ratio during the course of reprogramming, by using two individual vectors to express M and K instead of one. The combination of EV plasmids (OS + M + K + B) is comparable with Sendai virus in reprogramming efficiency but at a fraction of the cost. The generated iPSCs are indistinguishable from those from our previous approach in pluripotency and phenotype. This improvement lays the foundation for broad applications of episomal vectors in PB reprogramming.

A ratiometric fluorescent sensor for zinc ions based on covalently immobilized derivative of benzoxazole.

In the present paper, we describe the fabrication and analytical characteristics of fluorescence-based zinc ion-sensing glass slides. To construct the sensor, a benzoxazole derivative 4-benzoxazol-2'-yl-3-hydroxyphenyl allyl ether (1) with a terminal double bond was synthesized and copolymerized with 2-hydroxyethyl methacrylate (HEMA) on the activated surface of glass slides by UV irradiation. In the absence of Zn(2+) at pH 7.24, the resulting optical sensor emitted fluorescence at 450 nm via excited-state intramolecular proton transfer (ESIPT). Upon binding with Zn(2+), the ESIPT process was inhibited resulting in a 46 nm blue-shift of fluorescence emission. Thus, the proposed sensor can behave as a ratiometric fluorescent sensor for the selective detection of Zn(2+). In addition, the sensor shows nice selectivity, good reproducibility and fast response time. Cd(2+) did not interfere with Zn(2+) sensing. The sensing membrane demonstrates a good stability with a lifetime of at least 3 months. The linear response range covers a concentration range of Zn(2+) from 8.0x10(-5) to 4.0x10(-3) mol/L and the detection limit is 4.0x10(-5) mol/L. The determination of Zn(2+) in both tap and river water samples shows satisfactory results.