Fukushima University

About: Fukushima University is a education organization based out in Fukushima, Japan. It is known for research contribution in the topics: Population & Environmental science. The organization has 705 authors who have published 1748 publications receiving 22358 citations.

Determinants of Trade Credit in the Japanese Manufacturing Sector

Abstract: This paper examines the determinants of trade credit in Japanese manufacturing companies. The empirical analysis presents evidence that the volume of trade credit is influenced not only by transactional factors but also by financial positions. The empirical test reveals that firms' future business prospects affect the volume of trade credit. Notably, for small firms whose liquidity is constrained, nontransactional factors such as an increase in cash flow reduce the need for trade credit. This paper also finds that trade payables act as a complement to bank loans. The quantitative relationship between trade payables and bank loans suggests that when monetary policy works in the financial markets, it also influences the trade-related credit markets. J. Japan. Int. Econ. , June 2001, 15 (2), pp. 160–177. Department of Economics, Fukushima University, 1 Kanayagawa, Fukushima-shi, Fukushima 960-1296, Japan. Copyright 2001 Academic Press. Journal of Economic Literature Classification Numbers: E52, G32.

Bouncing cosmology in f (R ,T ) gravity

Abstract: A cosmological model with a specific form of the Hubble parameter is constructed in a flat homogeneous, and isotropic background in the framework of $f(R,T)$ gravity, where $R$ is the scalar curvature and $T$ is the trace of the stress-energy-momentum tensor. The proposed functional form of the Hubble parameter is taken in such a way that it fulfills the successful bouncing criteria to find the solution of the gravitational field equations provided the Universe is free from initial singularity. The various constraints on the parameters are involved in the functional form of the Hubble parameter which are analyzed in detail. In addition, we explore physical and geometrical consequences of the model based on the imposed constraints. Furthermore, we demonstrate the bouncing scenario which is realized in our model with some particular values of the model parameters. As a result, we find that all of the necessary conditions are satisfied for a successful bouncing model.

Upscaling terrestrial carbon dioxide fluxes in Alaska with satellite remote sensing and support vector regression

Abstract: [1] Carbon dioxide (CO2) fluxes from a network of 21 eddy covariance towers were upscaled to estimate the Alaskan CO2 budget from 2000 to 2011 by combining satellite remote sensing data, disturbance information, and a support vector regression model. Data were compared with the CO2 budget from an inverse model (CarbonTracker). Observed gross primary productivity (GPP), ecosystem respiration (RE), and net ecosystem exchange (NEE) were each well reproduced by the model on the site scale; root-mean-square errors (RMSEs) for GPP, RE, and NEE were 0.52, 0.23, and 0.48 g C m−2 d−1, respectively. Landcover classification was the most important input for predicting GPP, whereas visible reflectance index of green ratio was the most important input for predicting RE. During the period of 2000–2011, predicted GPP and RE were 369 ± 22 and 362 ± 12 Tg C yr−1 (mean ± interannual variability) for Alaska, respectively, indicating an approximately neutral CO2 budget for the decade. CarbonTracker also showed an approximately neutral CO2 budget during 2000–2011 (growing season RMSE = 14 g C m−2 season−1; annual RMSE = 13 g C m−2 yr−1). Interannual CO2 flux variability was positively correlated with air temperature anomalies from June to August, with Alaska acting as a greater CO2 sink in warmer years. CO2 flux trends for the decade were clear in disturbed ecosystems; positive trends in GPP and CO2 sink were observed in areas where vegetation recovered for about 20 years after fire.