Journal of Modern Economy


On the sustainable economy development of some European Countries

Research Article of Journal of Modern Economy On the sustainable economy development of some European Countries Nicholas S. Gonchar*, Olena P. Dovzhyk Mathematical Modeling Laboratory of Synergetics Department, the N.N.Bogolyubov Institute for Theoretical Physics, Kiev, Ukraine A new method to investigate the equilibrium state of an economy is proposed. The classification of the equilibrium states is given. The basic principle of equilibrium the economy to its environment is formulated. It is used to obtain the money circulation equation. On this basis the notion of the sustainable economic development is defined. The analysis of the economy of three European contries is given. The principle of adequacy of currency exchange and inflation rates to the determining factors is proposed. This work was supported in part by the Program of Fundamental Research of the National Academy of Sciences of Ukraine (project № 0118U003196). Keywords: Exchange Rate, Forecast, Sustainable Economy Development, Recession ...

Foreign direct investment, Agriculture and economic growth: ARDL and causality approach for Rwanda

Research Article of Journal of Modern Economy Foreign direct investment, Agriculture and economic growth: ARDL and causality approach for Rwanda Xiaoling Yuan1, Michel Mivumbi2 1Faculty, School of Economics and Finance, Xi'an Jiaotong University Shaanxi P.R.China. 2Doctoral Researcher Applied Economics, School of Economics and Finance, Xi'an Jiaotong University Shaanxi P.R.China. This study tested the relationship between Rwanda’s economic growth, foreign direct investment, and labor in agricultural spanning between 1970 and 2017. In this paper, the ARDL “bounds” test method is used to analyze the co-integration problem of variables with a constant level relationship. Co-integration coefficients were estimated using the ARDLs model. After verifying the long-term (co-integration) equilibrium relationship of economic growth within the variables, the error correction model is used to estimate the short-term coefficients. We found that agriculture and foreign direct investment have becomes an engine depending of Rwanda’s economic development. The FDI has a causal relationship to economic growth; while labor have no causal relationship to economic growth. The Rwandan government should promote macroeconomic policies to encourage foreign direct investment and promote economic growth in agriculture. Keywords: Foreign Direct Investment; Agriculture; ARDL Model; Bounds test; Economic growth ...

Assessing the Impact of Garbage Classification on China’s Economic Environment

Research Article of Journal of Modern Economy Assessing the Impact of Garbage Classification on China's Economic Environment Baogang Song1*, Xing Li2, Weiming Jing3, Qian Zhang4 1College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang, 443002, China. 2College of Mechanical & Power Engineering, China Three Gorges University, Yichang, 443002, China. 3College of Computer & Information Technology, China Three Gorges University, Yichang, 443002, China. 4College of Arts & Communication, China Three Gorges University, Yichang, 443002, China. This article mainly studies the impact of waste classification on China’s economy and environment. For the economy, the annual per capita waste removal volume, waste disposal cost, and waste disposal profit from 2008 to 2017 were selected as the three input indicators, and GDP was used as the output value. A BP neural network model based on GM (1,1) was established. The GM (1,1) model is used to predict the values of the three indicators in the next five years. The relationship between GDP and the three input indicators is determined using the BP neural network. The three indicators are substituted into the model to obtain the GDP in the next five years. value. As for the environment, the number of resource processing plants, resource processing capacity, and resource processing capacity are selected as three input indicators, and the per capita green space area is used to measure the impact on the environment. The same method is used to predict the per capita public green area in the next five years. The results show that garbage classification will have a beneficial impact on China’s economy and environment, but the impact will weaken year by year. Keywords: Garbage classification; Gray prediction; BP neural network ...

Predicting stock price based on BP neural network model

Research Article of Journal of Modern Economy Predicting stock price based on BP neural network model Yishuai Tian1*, Botao Liu1, Boying Lv1 1College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China. The increase in the stock will affect the development of the economy, so the description and forecast of the capital are fundamental. Therefore, this paper first analyzes the historical data of Everbright Bank stock (601818) and explains the stock increase, the share affected by the exchange rate, and the index correlation analysis. Then a prediction model based on BP neural network is established. BP is used to train stock descriptors to predict stock prices for the first 30 trading days in early 2019. Combined with ARE and MSE for error analysis, the average relative error is 3.6%, and the mean-variance is 0.041, indicating that the prediction effect of the model is good. To make a specific contribution to the study of stock price prediction. Keywords: Stock forecast; BP neural network; Stock analysis error check ...

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Journal of Modern Economy

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