260 research outputs found
Opportunities and Challenges Faced by the Trade Cooperation of China and Africa
This paper is based on the new normal background that the early days macroeconomic stimulation lead to the waste of manufacturability and hasted to find a new trade market, So we use the RCA Index proposed by Balassa in 1965 to compute the RCA Index and RMA Index of the mainly ten products of the export and import trade between China and Africa, Then specifies the competitive industries and the disadvantage industries in two countries, furthermore affirms the high growth potential trading products among the China and Africa. At the end of the paper, several opportunities and challenges are proposed according to the empirical results
Measurement of Investment activity in China based on Natural language processing technology
The purpose of this study is to propose a new index to measure and reflect
China's investment activity in time, and to analyze the changes of China's
investment activity in the past five years. This study first uses the NEZHA
model for semantic representation, and expand the indicator system based on
semantic similarity. Then we calculate China's investment activity index by
using the network search data. This study shows that China's investment
activity began to decline in 2019, rebounded for a period of time after the
outbreak of COVID-19 in 2020, and then continued to maintain a downward trend.
Private investment activity has declined significantly, while government
investment activity has increased. Among the provinces in Chinese Mainland, the
investment activity of economically developed provinces has decreased
significantly, while the investment activity of some economically less
developed provinces in the north and south is higher. After the outbreak of
COVID-19, the investment period became shorter. Our research will provide
timely investment information for the government, decision makers and managers,
as well as provide other researchers who also pay attention to investment with
a perspective other than investment in fixed asset
Correlation, Breit and Quantum Electrodynamics effects on energy level and transition properties of W ion
The electron correlation effects and Breit interaction as well as Quantum
Electro-Dynamics (QED) effects were expected to have important contribution to
the energy level and transition properties of heavy highly charged ions. The
ground states [Ne] and first excited states
[Ne]3s of W ion have been studied by using
Multi-Configuration Dirac-Fock method with the implementation of Grasp2K
package. A restricted active space was employed to investigate the correlation
contribution from different models. The Breit interaction and QED effects were
taken into account in the relativistic configuration interaction calculation
with the converged wavefunction. It is found that the correlation contribution
from 3s and 3p orbital have important contribution to the energy level,
transition wavelength and probability of the ground and the first excited state
of W ion
Selecting Genes by Test Statistics
Gene selection is an important issue in analyzing multiclass microarray data. Among many proposed selection methods, the traditional ANOVA F test statistic has been employed to identify informative genes for both class prediction (classification) and discovery problems. However, the F test statistic assumes an equal variance. This assumption may not be realistic for gene expression data. This paper explores other alternative test statistics which can handle heterogeneity of the variances. We study five such test statistics, which include Brown-Forsythe test statistic and Welch test statistic. Their performance is evaluated and compared with that of F statistic over different classification methods applied to publicly available microarray datasets
Markov Switching Model With Bounce-Back Effect: An Application to Chinese Business Cycle
Based on Markov switching model with a bounce-back effect, this paper analyzes the data of the economic growth in China. The findings suggest that Markov switching model with a rebound effect fits the macroeconomic growth data in our country better. Whatās more, we can also see that the economic fluctuation in our country not only is characterized by its obvious nonlinearity and asymmetry but has significant ābounce-back effectā
- ā¦