MEROMORPHIC p-VALENT FUNCTION WITH FIXED SECOND NEGATIVE COEFFICIENTS

In this paper we consider the class ∑^＊（p,α,β,k,c） consisting of analytic functions with negativecoefficients and fixed second coefficient. The object of the present paper is to give coefficient estimates, convex linear combinations, some distortion theorems and radii of starlikeness and convexity for f（z） in the class ∑^＊（p,α,β,k,c） .

Analysis of the Impact of the Decline in Crude Oil Imports on the Japanese Economy

In Japan, crude oil use depends almost exclusively on imports, mainly from the Middle East. Therefore, guaranteeing crude oil imports is an important issue for the Japanese energy policy. To analyze the impact of a decrease in crude oil imports, two features of crude oil as an energy good should be taken into consideration, namely being a factor of production in the energy sector and feedstock in petroleum and coal products. This study uses the GTAP and GTAP-E models to evaluate the impact of the decrease in crude oil imports in Japan, applying the same methodology and exogenous values, and analyzes the difference of the simulation results between the two models. In Japan, crude oil is used in two sectors： as feedstock in petroleum and coal products, and as a factor of production in the electricity sector. When energy goods are used as feedstock, the GTAP model, in which energy goods are treated as intermediate inputs with fixed coefficients, is suitable for analysis. The GTAP-E model, which incorporates an energy substitution structure into the GTAP model, is, on the other hand, suitable for analyzing energy goods when they are used as a factor of production. Furthermore, this study uses both a static analysis and an analysis incorporating capital accumulation effects to evaluate short-term, as well as medium to long-term impacts. The simulation results clearly indicate that, in the GTAP-E model, when crude oil imports from the Middle East decrease, Japan attempts to increase its crude oil imports from other regions, but by less than in the case of the GTAP model. The results of this study show that, for energy goods used mainly as feedstock, such as crude oil, analysis with fixed coefficients presents more realistic simulation results than those using the energy substitution structure.

CFD modeling of pressure drop and drag coefficient in fixed beds:Wall effects

Simulations of fixed beds having column to particle diameter ratio （D/dp） of 3, 5 and 10 were performed in the creeping, transition and turbulent flow regimes, where Reynolds number （dpVLρL/μL） was varied from 0.1 to 10,000. The deviations from Ergun＇s equation due to the wall effects, which are important in D/dp 〈 15 beds were well explained by the CFD simulations. Thus, an increase in the pressure drop was observed due to the wall friction in the creeping flow, whereas, in turbulent regime a decrease in the pressure drop was observed due to the channeling near the wall. It was observed that, with an increase in the D/dp ratio, the effect of wall on drag coefficient decreases and drag coefficient nearly approaches to Ergun＇s equation. The predicted drag coefficient values were in agreement with the experimental results reported in the literature, in creeping flow regime, whereas in turbulent flow the difference was within 10-15%.

Energy-growth nexus for‘Renewable Energy Country Attractiveness Index’countries:Evidence from new econometric methods

This study explores the connections between renewable energy consumption(REC),non-renewable energy consumption(NREC),gross fixed capital formation(GFCF),the labor force(LF),and economic growth(GDP)in Renewable Energy Country Attractiveness Index(RECAI)countries for 1991-2016.We quantify the nexus between REC,NREC,and GDP while utilizing a production model framework and including the measures of labor and capital,for suggesting a phase-wise strategy to attain the sustainable development goals.We use robust methodologies including Lagrange Multiplier(LM)panel unit root tests with trend shifts,Westerlund cointegration test,LM bootstrap technique for cointegration with breaks,continuously updated fully modified(CUP-FM)and continuously updated bias-corrected(CUPBC)estimators,Augmented Mean Group(AMG)approach,fully modified ordinary least squares,dynamic ordinary least squares,Canonical Cointegrating Regression(CCR),and panel causality test proposed by Canning&Pedroni.We compute non-parametric time-varying coefficients with fixed effects for seeing the impact of GFCF,LF,REC,and NREC on GDP.Our results press upon policymakers to shift toward clean energy and REC for attaining the environmental goals(SDGs 6,7,13,and 15)and the economic goals(SDGs 1,2,8,and 10).While this shift would help developed economies,which have already attained the economic goals,to progress on the front of environmental goals,it would enable developing countries to progress on both fronts in a balanced manner.