scholarly journals Analysis of Factors Affecting Freight Demand Based on Input-Output Model

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Changxiang Lu ◽  
Shaochuan Fu ◽  
Jiaqi Fang ◽  
Jikai Huang ◽  
Yong Ye
Keyword(s):  
Industrial Structure ◽  
Demand Forecasting ◽  
Input Output ◽  
Value Analysis ◽  
Factors Affecting ◽  
Freight Traffic ◽  
Freight Volume ◽  
Consumption Coefficient ◽  
Change Trend ◽  
The Impact

Freight demand is a highly variable process over economic and industrial structure, and accurate freight demand forecasting is the basis of transportation planning. In order to clarify the influencing factors of freight volume so as to analyze and predict the change trend of freight volume accurately, this paper analyzes the impact of changes in economic, industrial structure, and complete consumption coefficients on freight demand, through constructing an input-output model for transportation value analysis and forecasting freight volume by fitting data of transportation value and freight traffic. Studies have shown that the growth in economic aggregate is the main reason for the increase in the value of transportation, and the change in the complete consumption coefficient is the main reason for the increase in freight traffic.

scholarly journals Factors Affecting Energy-Related Carbon Emissions in Beijing-Tianjin-Hebei Region

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Structure ◽  
Factors Affecting ◽  
Economic Output ◽  
Level Model ◽  
The Impact ◽  
The Relationship

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.

ENVIRONMENT FACTORS OF ENERGY COMPANIES AND THEIR EFFECT ON VALUE: ANALYSIS MODEL AND APPLIED METHOD

2009 ◽  
Vol 15 (3) ◽  
pp. 490-521 ◽  
Author(s):  
Juratė Šliogerienė ◽  
Artūras Kaklauskas ◽  
Edmundas Kazimieras Zavadskas ◽  
Juozas Bivainis ◽  
Mark Seniut
Keyword(s):  
Financial Indicators ◽  
Analysis Model ◽  
Property Development ◽  
Value Analysis ◽  
Factors Affecting ◽  
Environment Factors ◽  
Development Costs ◽  
Energy Companies ◽  
The Impact ◽  
Practical Task

Practical tasks related to property management and disposal in energy companies can be solved only if the actual property value of these companies is known. Traditional practical property valuation methods are based on the analysis of incurred property development costs or financial indicators of activities and are inadequate to account for the influence of environment factors on corporate activities and, in turn, on the value of companies. An analysis model for environment factors affecting energy companies was developed to improve objectiveness of valuation; through analysis of the model's components it is possible to analyse external macro, meso and microenviron‐ment of a particular company and to assess efficiency of such environment, as well as the impact of separate factors on value. A criteria system developed using the Analysis Model for Environment Factors and the Decision Support System for Measurement of Effect of Environment Factors on Value of Energy Companies, which was developed by the authors, were used to solve a practical task, which helped to evaluate the effectiveness of the Model of Environment Factors. The practical task included measurement of the utility degree and market value of the selected electricity companies and assessment of the impact of the criteria, which affect the environment, on the value of the selected energy companies. Santrauka Energetikos įmonių turto valdymo, disponavimo turtu praktiniams uždaviniams spręsti reikalinga tikroji šių įmonių turto vertė. Tradiciniai praktikoje taikomi turto vertinimo metodai pagrįsti turto sukūrimo sąnaudų ar veiklos finansinių rodiklių analize, jie neįvertina daugelio vertę veikiančių aplinkos veiksnių įtakos. Siekiant padidinti vertės nustatymo objektyvumą, pasiūlytas taikyti energetikos įmonių aplinkos veiksnių tyrimo modelis, kurio elementų analizė leidžia įvairiais aspektais pažvelgti į šių įmonių turto vertę ir įvertinti vertės kitimo priežastis. Sukurtas modelis leidžia analizuoti įmonės aplinką, vertinti jos efektyvumą, aplinką ir suinteresuotas grupes veikiančią išorinę makro-, mezo- ir mikroaplinką kaip visumą. Naudojantis rodiklių, apibūdinančių analizuojamo sektoriaus aplinką, sistema, pasiūlyta infrastruktūros įmonėms vertinti, taikyti daugiakriterine analize paremtus metodus. Siekiant nustatyti aplinkos veiksnių tyrimo modelio veiksmingumą, išspręstas praktinis uždavinys – taikant modelį ir remiantis daugiakriterinės analizės metodais nustatytas pasirinktų elektros energetikos įmonių naudingumo laipsnis ir rinkos vertė.

The Quantitative Analysis about the Impact on Transport Demands by the Industrial Structure

2013 ◽  
Vol 397-400 ◽  
pp. 722-725 ◽  
Author(s):  
Huan Huan Qin ◽  
Xiu Shan Jiang ◽  
Zheng Ying Nie
Keyword(s):  
Quantitative Analysis ◽  
Industrial Structure ◽  
Quality Analysis ◽  
Practical Significance ◽  
Input Output ◽  
Complete Decomposition ◽  
Industrial Structures ◽  
Structure Factors ◽  
National Economic ◽  
The Impact

Different industrial structures of national economic have different demands of the transport in quantity and quality. Analysis of the impact about the industrial structure on transport demands growth has important theoretical and practical significance. This research established a complete decomposition model between transportation demands and industrial structure factors, to analysis the impact about the industrial structure on transport demands. Calculating and processing with the input-output table of China, we provide ponderable suggestions and measures to adjust industrial structure and transport demands structure in China.

scholarly journals Analysis of agricultural economic growth factors based on Cobb Douglas production

2020 ◽  
Vol 189 ◽  
pp. 01002
Author(s):  
You Yang ◽  
Li Yang ◽  
ShouYi Liu
Keyword(s):  
Economic Growth ◽  
Growth Factors ◽  
Agricultural Economic ◽  
Empirical Analysis ◽  
Industrial Structure ◽  
Returns To Scale ◽  
Agricultural Labor ◽  
Factors Affecting ◽  
Economic Growth Factors ◽  
The Impact

An empirical analysis of agricultural economic growth factors yields the main factors affecting agricultural economic growth. Based on the Cobb-Douglas function, a regression model is established to analyze the impact of production factors such as capital and labor on agricultural economic growth. After empirical analysis, it is concluded that investment is the main factor affecting agricultural economic growth. In some provinces, agricultural economic growth still uses extensive economic growth and belongs to the type of increasing returns to scale. Based on the results, three suggestions are made to promote the steady and rapid growth of the agricultural economy: increase the input of fixed assets in agriculture and attract capital from all walks of life to the agricultural production; optimize the agricultural labor force and increase human resources training; adjust the industrial structure and develop modern agriculture.

The Impact of the Public Expenditure Cuts Policy on the Labor Market in Vietnam

2012 ◽  
pp. 22-46
Author(s):  
Huong Nguyen Thi Lan ◽  
Toan Pham Ngoc
Keyword(s):  
Labor Market ◽  
Computable General Equilibrium ◽  
Impact Evaluation ◽  
Public Expenditure ◽  
Computable General Equilibrium Model ◽  
Living Standard ◽  
Input Output ◽  
Policy Makers ◽  
The Public ◽  
The Impact

The purpose of this study is to evaluate the impact of public expenditure cuts on employment and income to support policies for the development of the labor mar- ket. Impact evaluation is of interest for policy makers as well as researchers. This paper presents a method – that is based on a Computable General Equilibrium model – to analyse the impact of the public expenditure cuts policy on employment and income in industries and occupations in Vietnam using macro data, the Input output table, 2006, 2008 and the 2010 Vietnam Household Living Standard Survey.

DAMPAK KEBIJAKAN FISKAL TERHADAP KINERJA SEKTOR PERTANIAN DI SULAWESI TENGGARA

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal
Keyword(s):  
Fiscal Policy ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Simultaneous Equations ◽  
Poor People ◽  
Land Area ◽  
Factors Affecting ◽  
Historical Simulation ◽  
The Impact ◽  
Direct Expenditure

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations

Estimating the impact of Bio-Economy using input-output table

2012 ◽  
Vol 26 (2) ◽  
pp. 59-86
Author(s):  
주원 ◽  
Lee Joo Rynag ◽  
Yoon-Jung Jung
Keyword(s):  
Input Output ◽  
Output Table ◽  
The Impact

Structural Model of Service Quality Factors Affecting Loyalty Sustainability

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Eman Al-erqi ◽  
◽  
Mohd Lizam Mohd Diah ◽  
Najmaddin Abo Mosali ◽  
◽  
...  
Keyword(s):  
International Students ◽  
Service Quality ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Quality Factors ◽  
Factors Affecting ◽  
Measurement Models ◽  
Confirmatory Factor ◽  
The University ◽  
The Impact

This study seeks to address the impact of service quality affecting international student's satisfaction towards loyalty tothe Universiti Tun Hussein Onn Malaysia(UTHM). The aim of thestudy is to develop relationship between service quality factor and loyalty to the university from the international students’ perspectives. The study adopted quantitative approach where data was collected through questionnaire survey and analysed statistically. A total of 246 responses were received and found to be valid. The model was developed and analysed using AMOS-SEM software. Confirmatory factor analysis (CFA) function of the software was to assessed the measurement models and found that all the models achieved goodness of fit. Then path analysis function was used to assessed structural model and found that service qualityfactors have a significant effect on the students’ satisfaction and thus affecting the loyaltyto the university. Hopefully the outcome form this study will benefit the university in providing services especially to the international students.

Influence of the ICCPR in Asia

2018 ◽  
Author(s):  
Yogesh Tyagi
Keyword(s):  
Human Rights ◽  
Political Rights ◽  
International Human Rights ◽  
Factors Affecting ◽  
Judicial Discourse ◽  
International Human ◽  
Golden Jubilee ◽  
Civil And Political Rights ◽  
The Impact

The golden jubilee of the International Covenant on Civil and Political Rights (ICCPR) coincides with the emergence of Asia as a centre of global attention. However, greater attention to Asia has been accompanied by some scepticism over its attitude towards human rights. The chapter provides an overall assessment of the impact of the ICCPR on the major Asian States, with an analysis of the factors affecting such influence. The chapter considers the involvement in, observance of, and compliance with the provisions of the ICCPR by these States. It further delves into the academic and judicial discourse on the ICCPR within these States, recording the domestic disposition towards judgments of foreign courts, the output of the Human Rights Committee, and the work of other international human rights bodies. It makes suggestions for developing mechanisms to improve the effectiveness of the ICCPR and for creating databases to perform further research in the area.

scholarly journals Assessing the Impact of Bank Concentration and Liquidity of Refah Bank Branches on Profitability during the Period1383-190

2014 ◽  
Vol 4 (1) ◽  
pp. 248
Author(s):  
Hossin Ostadi ◽  
Nastran Monsef
Keyword(s):  
Commercial Banks ◽  
Bank Capital ◽  
Factors Affecting ◽  
Bank Branches ◽  
Independent Variables ◽  
Bank Deposits ◽  
The Impact ◽  
Bank Concentration ◽  
Research Period

Profitability is an important factor to show this articledoeswhat is the role of the intermediary bank to collect your savings and allocation of loans.  Given the importance of profitability indicators in this study, the factors affecting the profitability of commercial banks in Iranare analyzedwith emphasis on the degree of centralization and bank deposits. Dependent variable is indicators of profitability (ROE, ROA) and bank deposits, bank size, bank capital, focus on liquidity and banking requirements are independent variables. Correlation analysis and OLS regression are used and the research period is 1381 to 1390 that the country's territory where bank branches.Our results indicate that the effect of bank size on profitability is positive and the increase in bank size on profitability is increased. Impact on the profitability of bank deposits is positive, ie increasing the profitability of bank deposits increased. Finally, the impact of bank concentration on profitability is positive. Increasing the bank's focus profitability increases. Moreover, the results adversely affect the liquidity of the index is profit. 

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