Anhui University of Finance and Economics

About: Anhui University of Finance and Economics is a education organization based out in Bengbu, China. It is known for research contribution in the topics: China & Hopf bifurcation. The organization has 933 authors who have published 1070 publications receiving 11500 citations. The organization is also known as: AUFE.

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Abstract: Simulation and prediction of the scale change of fungal community. First, using the experimental data of a variety of fungal decomposition activities, a mathematical model of the decomposition rate and the relationship between the bacterial species was established, thereby revealing the internal mechanism of fungal decomposition activity in a complex environment. Second, based on the linear regression method and the principle of biodiversity, a model of fungal decomposition rate was constructed, and it was concluded that the interaction between mycelial elongation and moisture resistance could increase the fungal decomposition rate. Third, the differential equations are used to quantify the competitive relationship between different bacterial species, divide the boundaries of superior and inferior species, and simulate the long-term and short-term evolution trends of the community under the same initial environment. And an empirical analysis is made by taking the sudden change of the atmosphere affecting the evolution of the colony as an example. Finally, starting from summer, combining soil temperature, humidity, and fungal species data in five different environments such as arid and semiarid, a three-dimensional model and RBF neural network are introduced to predict community evolution. The study concluded that under given conditions, different strains are in short-term competition, and in the long-term, mutually beneficial symbiosis. Biodiversity is important for the biological regulation of nature.

The coordination between China’s economic growth and environmental emission from the Environmental Kuznets Curve viewpoint

Abstract: The coordination between China’s economic growth and environmental emission is very important. Based on the Environmental Kuznets Curve theory, this paper uses panel smooth transition regression model to investigate the relationship between two representative emissions, i.e., CO2 and SO2, and economic growth. The empirical results show that there is no linear relationship between them. Inverted “U”-shaped relationship does not exist between carbon dioxide emissions and economic growth in China, but we find that the elasticity of the high-income areas is significantly less than that of the low-income areas. Environmental Kuznets Curve phenomenon exists between economic growth and sulfur dioxide emissions, and the elasticity in many developed provinces experienced from positive to negative status. This result verifies the international empirical evidence that CO2 does not decrease with economic growth and SO2 can generally meet the Environmental Kuznets Curve. This phenomenon indicates that the relationship between China’s economic development and environmental emission is consistent with international experience. Finally, some policy recommendations are given in the conclusion.

Double decomposition and optimal combination ensemble learning approach for interval-valued AQI forecasting using streaming data

Abstract: To forecast possible future environmental risks, numerous models are developed to predict the hourly values or daily averages of air pollutant concentrations using streaming data (a kind of big data collected from the Internet). On the one hand, real-time hourly data is massive and redundant, making it difficult to process. On the other hand, daily averages cannot reflect the fluctuations of air pollutant concentrations throughout the day. Therefore, a double decomposition and optimal combination ensemble learning approach is proposed for interval-valued AQI (air quality index) forecasting in this paper. In the first decomposition, considering the strong seasonal representation of AQI, the original data of each year is decomposed into four seasonal subseries on the basis of the Chinese calendar. Subsequently, we reconstruct the data of the same season in different years to get a new seasonal series to reduce the interference of seasonal changes on AQI forecasting. In the second decomposition, due to the nonlinearity and irregularity of interval-valued AQI time series, BEMD (bivariate empirical mode decomposition) is employed to decompose the interval-valued signals into a finite number of complex-valued IMF (intrinsic mode function) components and one complex-valued residue component with different frequencies to reduce the complexity of interval times series. Interval multilayer perceptron (iMLP) is utilized to model the lower bound and the upper bound simultaneously of the total components to obtain the corresponding forecasting results, which are merged to produce the final interval-valued output by an optimal combination ensemble method. Empirical study results show that the proposed model with different datasets and different forecasting horizons is significantly better than other considered models for its superior forecasting performances.

The national and international expansion of Chinese SMEs: evidence from Anhui Province

Abstract: Purpose – The purpose of this paper is to study the national and international expansion of small to medium‐sized enterprises (SMEs) in Anhui, China. The paper focuses on the interaction of SMEs with the Government, assessed through the development of specific industries as well as ownership and funding by the State, and the origins of the relative weakness of Chinese SMEs' competitive position.Design/methodology/approach – Data were collected from 154 SMEs and analysed using multivariate regressions; the models used the firms' export intensity at the regional, national, and international level as dependent variables. In total seven models were run: the first analysing the industry where SMEs operate, the second and third studying state funding and ownership, and the last four analysing a set of barriers hindering firms' expansion as independent variables.Findings – The results show that: SMEs operating in labour‐intensive industries have better access to international markets; ownership and/or funding by...