Dynamic Mechanism of Effect Factors for Railway Passenger Volume

2014 ◽  
Vol 644-650 ◽  
pp. 5848-5852
Author(s):  
Chen Wang
Keyword(s):  
Choice Behavior ◽  
Gdp Growth ◽  
Economic Factors ◽  
Effect Factors ◽  
Travel Choice ◽  
Linear Dynamic ◽  
Gdp Growth Rate ◽  
Passenger Volume ◽  
Railway Passenger ◽  
Statistical Yearbook

The railway passenger volume is a non-linear, dynamic and complicated issue which is affected by many factors. Using the principle and method of system dynamic, this paper has analyzed the effect factors for railway passenger volume, including the economic factors, rail infrastructure factors and travel choice behavior factor. Considering about the causality among the factors, a dynamic model has been built based on the relevant data from <China Statistical Yearbook (2000-2013)>. At the same time, the model has been run for making predictions (2014-2030). This paper focuses on the influences caused by the fare increase and the increase of GDP growth rate.

scholarly journals Macroeconomic factors and stock prices – A case of real estate stocks on Ho Chi Minh stock exchange

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Vo Thi Quy ◽  
Dang Thi Ngoc Loi
Keyword(s):  
Growth Rate ◽  
Real Estate ◽  
Stock Prices ◽  
Stock Price ◽  
Inflation Rate ◽  
Gdp Growth ◽  
Economic Factors ◽  
Government Bond ◽  
Gdp Growth Rate ◽  
The Relationship

This study investigates the relationship of selected economic factors such as inflation rate, 10-year Government bond yields, GDP growth rate, exchange rate, and stock trading volumes and real estate stock price of 38 real estate companies listed on HOSE in period 7 years, from January 2009 to September 2015.The study found that 3 economic factors (inflation rate, GDP growth rate, and exchange rate) impact significantly on real estate stock prices; but the relationship between 10-year Government bond yield and trading volume, and real estate stock prices was not found. The research’s results imply that these factors should be taken into account as predictors of the movement of real estate stock price in Vietnamese stock market.

Financial and monetary policy of the State and its impact on the income level and poverty reduction in Russia

2020 ◽  
Vol 26 (5) ◽  
pp. 964-990
Author(s):  
N.I. Kulikov ◽  
V.L. Parkhomenko ◽  
Akun Anna Stefani Rozi Mobio
Keyword(s):  
Monetary Policy ◽  
Household Income ◽  
Poverty Reduction ◽  
The State ◽  
Financial Policy ◽  
Gdp Growth ◽  
Tax Rate ◽  
Gdp Growth Rate ◽  
The Government ◽  
The Impact

Subject. We assess the impact of tight financial and monetary policy of the government of the Russian Federation and the Bank of Russia on the level of household income and poverty reduction in Russia. Objectives. The purpose of the study is to analyze the results of financial and monetary policy in Russia and determine why the situation with household income and poverty has not changed for the recent six years, and the GDP growth rate in Russia is significantly lagging behind the global average. Methods. The study employs methods of analysis of scientific and information base, and synthesis of obtained data. The methodology and theoretical framework draw upon works of domestic and foreign scientists on economic and financial support to economy and population’s income. Results. We offer measures for liberalization of the financial and monetary policy of the government and the Central Bank to ensure changes in the structure of the Russian economy. The proposed alternative economic and financial policy of the State will enable the growth of real incomes of the population, poverty reduction by half by 2024, and annual GDP growth up to 6 per cent. Conclusions. It is crucial to change budget priorities, increase the salaries of public employees, introduce a progressive tax rate for individuals; to reduce the key rate to the value of annual inflation and limit the bank margin. The country needs a phased program to increase the population's income, which will ensure consumer demand.

scholarly journals Do Military Expenditure and Conflict Affect Economic Growth in Sri Lanka? Evidence from the ARDL Bounds Test Approach

2016 ◽  
Vol 8 (3) ◽  
pp. 1
Author(s):  
Abdul Rasheed Sithy Jesmy ◽  
Mohd Zaini Abd Karim ◽  
Shri Dewi Applanaidu
Keyword(s):  
Growth Rate ◽  
Civil War ◽  
Sri Lanka ◽  
Military Expenditure ◽  
Gdp Growth ◽  
Per Capita Gdp ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Per Capita ◽  
Bounds Test

Conflicts in the form of civil war, ethnic tensions and political discord are of enduring concern and a major bottleneck to economic development in Sri Lanka. Three decades of civil war and unethical political culture have caused severe economic problems for the country, including slower rate of growth and a huge defence expenditure. The aim of this study is to examine the effect of military expenditure and conflict on per capita GDP growth rate in Sri Lanka from 1973 to 2014 using the Solow growth model and ARDL bounds test approach. The results of the bounds test are highly significant and lead to cointegration. The negative and significant coefficients of the error correction term illustrate the expected convergence process in the long-run dynamic of per capita GDP. The estimated empirical results show that, the coefficients of military expenditure and conflict are negative and statistically significant in the short-run as well as in the long-run in determining per capita GDP growth rate in Sri Lanka. Hence, it is critically important to take necessary action to decrease military expenditure and provide an efficient political solution to the problem of minorities, specifically in the post-war period.

scholarly journals Interactive effects between travel behaviour and COVID-19: a questionnaire study

2021 ◽  
Author(s):  
Jinbao Zhang ◽  
Jaeyoung Lee
Keyword(s):  
Early Stage ◽  
Travel Behaviour ◽  
Interactive Effects ◽  
Factors Affecting ◽  
Individual Level ◽  
Passenger Volume ◽  
Spatial Autoregressive ◽  
Railway Passenger ◽  
The Individual ◽  
And Control

Abstract This study has two main objectives: (i) to analyse the effect of travel characteristics on the spreading of disease, and (ii) to determine the effect of COVID-19 on travel behaviour at the individual level. First, the study analyses the effect of passenger volume and the proportions of different modes of travel on the spread of COVID-19 in the early stage. The developed spatial autoregressive model shows that total passenger volume and proportions of air and railway passenger volumes are positively associated with the cumulative confirmed cases. Second, a questionnaire is analysed to determine changes in travel behaviour after COVID-19. The results indicate that the number of total trips considerably decreased. Public transport usage decreased by 20.5%, while private car usage increased by 6.4%. Then the factors affecting the changes in travel behaviour are analysed by logit models. The findings reveal significant factors, including gender, occupation and travel restriction. It is expected that the findings from this study would be helpful for management and control of traffic during a pandemic.

Analyzing and management of health care expenditure and gross domestic product (GDP) growth rate by adaptive neuro-fuzzy technique

2016 ◽  
Vol 64 ◽  
pp. 524-530 ◽  
Author(s):  
Igor Mladenović ◽  
Miloš Milovančević ◽  
Svetlana Sokolov Mladenović ◽  
Vladislav Marjanović ◽  
Biljana Petković
Keyword(s):  
Health Care ◽  
Growth Rate ◽  
Gross Domestic Product ◽  
Health Care Expenditure ◽  
Domestic Product ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Neuro Fuzzy

scholarly journals Assessment of the ripple effects and spatial heterogeneity of total losses in the capital of China after a great catastrophic shock

2017 ◽  
Vol 17 (3) ◽  
pp. 367-379 ◽  
Author(s):  
Zhengtao Zhang ◽  
Ning Li ◽  
Wei Xie ◽  
Yu Liu ◽  
Jieling Feng ◽  
...  
Keyword(s):  
Growth Rate ◽  
Spatial Heterogeneity ◽  
Economic Loss ◽  
Gdp Growth ◽  
Ripple Effect ◽  
Ripple Effects ◽  
Gdp Growth Rate ◽  
Direct Economic Loss ◽  
Indirect Economic Loss ◽  
Development Levels

Abstract. The total losses caused by natural disasters have spatial heterogeneity due to the different economic development levels inside the disaster-hit areas. This paper uses scenarios of direct economic loss to introduce the sectors' losses caused by the 2008 Wenchuan earthquake (2008 WCE) in Beijing, utilizing the Adaptive Regional Input–Output (ARIO) model and the Inter-regional ripple effect (IRRE) model. The purpose is to assess the ripple effects of indirect economic loss and spatial heterogeneity of both direct and indirect economic loss at the scale of the smallest administrative divisions of China (streets, villages, and towns). The results indicate that the district of Beijing with the most severe indirect economic loss is the Chaoyang District; the finance and insurance industry (15, see Table 1) of Chaowai Street suffers the most in the Chaoyang District, which is 1.46 times that of its direct economic loss. During 2008–2014, the average annual GDP (gross domestic product) growth rate of Beijing was decreased 3.63 % by the catastrophe. Compared with the 8 % of GDP growth rate target, the decreasing GDP growth rate is a significant and noticeable economic impact, and it can be efficiently mitigated by increasing rescue effort and by supporting the industries which are located in the seriously damaged regions.

scholarly journals The Relationship between Current Account Deficits and Growth in Montenegro: ARDL Bounds Testing Approach

2018 ◽  
Vol 7 (3) ◽  
pp. 5-24 ◽  
Author(s):  
Mustafa Özer ◽  
Jovana Žugić ◽  
Sonja Tomaš-Miskin
Keyword(s):  
Growth Rate ◽  
Current Account ◽  
Current Account Deficit ◽  
Gdp Growth ◽  
Bounds Testing ◽  
Current Account Deficits ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Short Run ◽  
The Relationship

Abstract In this study, we investigate the relationship between current account deficits and growth in Montenegro by applying the bounds testing (ARDL) approach to co-integration for the period from the third quarter of 2011 to the last quarter of 2016. The bounds tests suggest that the variables of interest are bound together in the long run when growth is the dependent variable. The results also confirm a bidirectional long run and short run causal relationship between current account deficits and growth. The short run results mostly indicate a negative relationship between changes in the current account deficit GDP ratio and the GDP growth rate. This means that any increase of the value of independent variable (current account deficit GDP ratio) will result in decrease of the rate of GDP growth and vice versa. The long-run effect of the current account deficit to GDP ratio on GDP growth is positive. The constant (β0) is positive but also the (β1), meaning that with the increase of CAD GDP ratio of 1 measuring unit, the GDP growth rate would grow by 0,5459. This positive and tight correlation could be explained by overlapping structure of the constituents of CAD and the drivers of GDP growth (such as tourism, energy sector, agriculture etc.). The results offer new perspectives and insights for new policy aiming for sustainable economic growth of Montenegro.

scholarly journals Trade Policies and Economic Growth

2013 ◽  
Vol 6 ◽  
pp. 33
Author(s):  
Thanawat Chalkual ◽  
Jeanne Peng ◽  
Shijia Liang ◽  
Yao Ju
Keyword(s):  
Economic Growth ◽  
Economic Performance ◽  
Positive Impact ◽  
Gdp Growth ◽  
Trade Policies ◽  
Gdp Growth Rate ◽  
Restrictive Trade ◽  
Tariff Rates ◽  
Economic Growth Rates ◽  
The Relationship

This paper aims to examine the relationship between trade policies and economic growth. In order to test whether restrictive trade policies have a positive impact on economic growth, we investigate America, Australia and China, and, analyse how their economic performance varies between a free trade environment and a relatively protective trade environment. In this paper, we focus on comparative advantage and use various data such as tariff rate, GDP growth rate, unemployment rate, etc. to test the influence of trade policies on economic growth.We find some support that less restrictive trade policy leads to better economic growth; however overall tariff rates do not seem to have a strong effect on economic growth rates

scholarly journals INNOVATION EFFECT THROUGH RESEARCH AND DEVELOPMENT ON ECONOMIC GROWTH IN 35 OECD COUNTRIES

2021 ◽  
Vol 11 (4) ◽  
pp. 159-166
Author(s):  
Maman Ali M. Moustapha ◽  
Qian Yu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Research And Development ◽  
Regression Model ◽  
Oecd Countries ◽  
Multiple Regression Model ◽  
Gdp Growth ◽  
Real Gdp ◽  
Gdp Growth Rate ◽  
Development Expenditure

This paper analyzes the effect of research and development (R&#38;D) expenditures on economic growth in the Organization of Economic Cooperation and Development (OECD) countries over the period 2000-2016. This study conducts an empirical analysis using a multiple regression model. The main findings confirm that an increase in research and development expenditure by 1% would generate an increase of real GDP growth rate to 2.83 %. The implication emerging from this study is that government and institutions need to increase investment in R&#38;D expenditures to fulfill inclusive economic growth perspective.

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