scholarly journals Modelo de gravedad económico, México – China para incrementar la competitividad de las mypes

2021 ◽  
Vol 5 (3) ◽  
pp. 293-312
Author(s):  
Anwar Alarcón Flores ◽  
Benedicta María Domínguez Valdez ◽  
Liliana de Jesús Gordillo Benavente ◽  
Claudia Vega Hernández
Keyword(s):  
Gross Domestic Product ◽  
Regression Model ◽  
Economic Model ◽  
Quantitative Model ◽  
Domestic Product ◽  
Small Enterprises ◽  
Micro And Small Enterprises ◽  
Lineal Regression ◽  
Modelo Económico

En el presente proyecto de investigación se da a conocer un modelo económico de competitividad entre México y China con el objetivo de incrementar las exportaciones y aprovechar el comercio que se tiene entre ambas naciones, se desarrolló un modelo cuantitativo ocupando los últimos cinco Productos Internos Brutos (PIB) y la distancia entre estas naciones para aplicar un modelo de regresión lineal, en lo encontrado fue que las relaciones comerciales bilaterales pueden ayudar a crecer a las Micro y pequeñas empresas (mypes) de México ya sea exportando o importante insumos de calidad. AbstractIn this investigative project, an economic model of competitiveness between Mexico and China is set forth. Its objective is to increase exportations and to take advantage of trade that exists among both nations; a quantitative model was developed using the last five gross domestic product indicators (GDP) and the distance between these two nations to apply a lineal regression model. Our findings show that the bilateral commercial relationship may lead to growth in micro and small enterprises (SMEs) in Mexico, whether by exporting or importing quality inputs.

scholarly journals Analysis of Macroeconomic Factors Effect to Gross Domestic Product of Bosnia and Herzegovina Using the Multiple Linear Regression Model

ECONOMICS ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 91-97
Author(s):  
Stanko Stanić ◽  
Željko V. Račić
Keyword(s):  
Growth Rate ◽  
Gross Domestic Product ◽  
Regression Model ◽  
Bosnia And Herzegovina ◽  
Export Growth ◽  
Domestic Product ◽  
Foreign Direct Investments ◽  
Macroeconomic Factors ◽  
Important Indicator ◽  
Independent Variables

Abstract This paper presents the application of the multiple regression analysis model in macroeconomic research using the model of Bosnia and Herzegovina in the period from 2005 to 2018. The objective of the research is to evaluate the effects of macroeconomic factors (independent variables) to gross domestic product (dependent variable), and based on theoretical and methodological research. Applying the Enter method, out of six independent variables, they are all included in the regression model, whereas the sequence of inclusion in the model is the following: foreign direct investments, Import, Export, Growth rate, unemployment and inflation. Numerous research indicate positive connection between gross domestic product as the dependent variable and foreign direct investments, Import, Export, Growth rate, unemployment and inflation, as independent variables. Other factors negligibly explain the most important indicator of economic activities of a country. Our assignment is to either confirm or reject the abovementioned statement.

scholarly journals DANA PIHAK KETIGA DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA PADA PERBANKAN SYARIAH DI INDONESIA

2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Dewi Sartika
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Regression Model ◽  
Statistical Method ◽  
Financial Statements ◽  
Multiple Regression Model ◽  
Third Party ◽  
Domestic Product ◽  
Islamic Banking ◽  
The Exchange Rate

This study examines the effect of GDP (Gross Domestic Product) and the exchange rate on U.S. dollar against the TPF (Third Party Funds) in Indonesia. The objective of Islamic banking in this study was to analyze the influence of GDP (Gross Domestic Product) Rupiah rate against U.S. dollar deposits (Fund Party Third) of Islamic banking in Indonesia. In writing this makes the GDP (Gross Domestic Product) and the rupiah rate to U.S. dollar as the variables that influence to measure how much influence on Deposits (Third Party Funds). This study used 24 samples comprising the financial statements starting from January 2004 till December 2009. The method used in this study is the statistical method with a multiple regression model, where to find or measure how much influence given by the GDP (Gross Domestic Product) and exchange rate on U.S. dollar against the TPF (Third Party Funds) Islamic banking. The result showed that the variables GDP (Gross Domestic Product) and the exchange rate on U.S. dollar deposits have a significant effect on the Fund (Third Party) Islamic banking in IndonesiaDOI: 10.15408/sjie.v2i2.2426

scholarly journals Disaggregation and Forecasting of the Monthly Indonesian Gross Domestic Product (GDP)

2018 ◽  
Vol 20 (4) ◽  
pp. 497-526
Author(s):  
Profita Sumunar Luthfiana ◽  
Nasrudin Nasrudin
Keyword(s):  
Linear Regression ◽  
Gross Domestic Product ◽  
Regression Model ◽  
Linear Regression Model ◽  
Domestic Product ◽  
Simple Linear Regression ◽  
Production Index ◽  
Simple Linear Regression Model ◽  
The Third ◽  
Economic Outlook

Gross Domestic Product (GDP) is considered as the best measure of economicperformance. However, in Indonesia, the GDP is presented in quarterly aggregate value.As a result, the monthly economic outlook is unknown, and analysis with other monthlyeconomic variables becomes limited. Therefore, this study will disaggregate quarterlyGDP into monthly GDP and its forecasting by using one of the coincident indicatorswhich are monthly Production Index of Large and Medium Manufacturing (industrialproduction index). Disaggregation is done on National GDP data of Indonesia period2000/I to 2016 / IV, whereas forecasting is made on monthly and quarterly GDP 2017.This study uses a combination of the simple linear regression model and ARIMA modelwith some modifications. The disaggregation result indicates that the monthly GDPmoves volatile and has a different pattern between quarters. Also, the monthly GDPdisaggregation and forecasting are proven that can be used by industrial productionindex that becomes a coincident indicator. GDP 2017 shows that the highest quarterlyGDP will have occurred in the third quarter, whereas the highest monthly GDP willhave occurred in June (second quarter). The result of disaggregation can be used furtherto the study of economic outlook will be more comprehensive.

scholarly journals Tecnologias Da Administração E Perenidade Das Micro E Pequenas Empresas

2017 ◽  
Vol 5 (2) ◽  
pp. 250-269
Author(s):  
Ilmar Polary Pereira
Keyword(s):  
Gross Domestic Product ◽  
Random Sample ◽  
Statistical Treatment ◽  
Field Research ◽  
Small Enterprises ◽  
Secondary Sources ◽  
Industrial Companies ◽  
Micro And Small Enterprises ◽  
Integrated Sustainability ◽  
The Universe

The article, which aimed at analyzing the contributions of the Technologies of the Administration, among them the Administration for Integrated Sustainability, in the perenity of the micro and small enterprises, investigated, based on the literature and on field research, investigated "how can the Technologies of Administration contribute with the perenity of the micro and small industrial companies and of services rendered in the sample"? The data were extracted from secondary sources. In the field, the universe was of 1.700 industrial companies and 15.112 of services rendered, in 170 municipal districts, with proportional stratified random sample, considering each economical category of the Gross Domestic Product. In the investigation, the used technique was the questionnaire and the data received statistical treatment, with analysis of the variables, components and dimensions of the Technologies of the Administration, variance analysis and correlation test. The results and conclusions suggest that the Technologies of the Administration favor the perenity of the industrial companies and of services rendered of the sample.

scholarly journals Mathematical Approach for Predicting the Gross Domestic Product of Malaysia

2020 ◽  
Vol 5 (10) ◽  
pp. 247-257
Author(s):  
Maryam Rukayyah Al-Munirah Ayob ◽  
Azizah Mohd Rohni
Keyword(s):  
Gross Domestic Product ◽  
Regression Model ◽  
Regression Models ◽  
Market Value ◽  
Domestic Product ◽  
Main Subject ◽  
Exponential Regression ◽  
Goods And Services ◽  
Future Developments ◽  
The Relationship

Gross domestic product (GDP) is a monetary measure of the market value of overall final goods and services produced in a given year, and serves as a gauge of the economy’s overall health and size. The GDP prediction is significant, as it can capture and understand the future developments of a country’s economy. In this paper, three different mathematical models have been used to predict Malaysia’s gross domestic product using regressions. The models discussed in this paper are linear, exponential and parabolic regressions. In developing the models, data from year 1970 to 2014 has been employed and data from year 2015 to 2019 has been used to examine the models' accuracy. The models are then observed to identify the most appropriate to express the relationship between the years and Malaysia’s gross domestic product. In this study, it is found that the parabolic regression model is more accurate compared to the linear and exponential regression models. The parabolic regression model is also the most appropriate since it is adjusted to the real conditions of Malaysia's gross domestic product which is the main subject of this paper. Finally, it is obtained that the prediction values of GDP in Malaysia will increase for the next ten years (2020 - 2029).   Keywords: Gross domestic product, Linear regression, Exponential regression, Parabolic regression

scholarly journals Analysis of the correlation between the Gross Domestic Product and the final consumption of electricity

2020 ◽  
Vol 14 (1) ◽  
pp. 59-73
Author(s):  
Liviu Valentin Vlăducu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Regression Model ◽  
Linear Regression Model ◽  
Electricity Consumption ◽  
Domestic Product ◽  
Efficiency Measures ◽  
The Moment

AbstractWhile the economy has shown clear signs of recovery, in quantitative terms, after the moment of the global crisis, energy production has returned to the level before the crisis, only since 2011. In this context, this paperwork aims to carry out an analysis on the existence of a correlation between the Gross Domestic Product registered in Romania and the final annual consumption of electricity. The databases used involve the data recorded for the period 2000-2018. Over time, in the specialty literature, there have been two approaches regarding the link between the economic growth and the energy consumption, respectively an approach starts from the idea that in order for economic growth to occur, energy consumption must increase, and another promotes the idea that economic growth can reduce energy consumption, by applying energy efficiency measures. To perform the analysis, a simple linear regression model was initially used in which we considered the Gross Domestic Product as a dependent variable and the Electricity Consumption as an explanatory factor (independent variable). Subsequently, analysing the results, a quadratic linear regression model was used to test the hypothesis of a more complex link between the two indicators. Following the tests performed on the two chosen variables, the Gross Domestic Product of Romania and the Final Electricity Consumption, can be argued that the energy intensity of the economy increases as economic growth reaches a certain threshold. After that threshold, economic growth is associated with the relative decrease in energy consumption.

Economic Problems of Quarantine Infections

2020 ◽  
Vol 11 (4) ◽  
pp. 1269
Author(s):  
Mikhail A. OSADCHUK ◽  
Maxim V. TRUSHIN ◽  
Alexey M. OSADCHUK ◽  
Elena A. BARABANOVA
Keyword(s):  
Gross Domestic Product ◽  
Economic Crisis ◽  
Economic Model ◽  
Transition Economy ◽  
Domestic Product ◽  
Economic Losses ◽  
Economic Problems ◽  
The Individual ◽  
Restrictive Measures ◽  
Pandemic Wave

Predictably, the fall in world gross domestic product (GDP) will be at least 4.2% due to restrictive measures in connection with the COVID-19 spread. The global economic crisis has not yet been overcome, and if the second pandemic wave occurs, its consequences can be even more disastrous. As a result of the COVID-19 pandemic, all countries will suffer, though the GDP reduction will be different, depending on the individual states’ previous economic situation. It seems important to compare different countries` economic losses depending on their economic model. Germany will be considered as a country with a developed economy, Russia and China – as transition economy countries and India – as a developing one. The results of studying such pandemics impact on various countries’ economies can be used in choosing the optimal answer to possible pandemics in the future.

scholarly journals Consumption Contribution to Economy Growth

2021 ◽  
Author(s):  
Ivan Sudibyo
Keyword(s):  
Gross Domestic Product ◽  
Southeast Asia ◽  
Regression Model ◽  
National Economy ◽  
Econometric Model ◽  
Domestic Product ◽  
Final Consumption ◽  
Economy Growth ◽  
Econometric Approach

The analysis of the final consumption influence on the Gross Domestic Product is rarely studied. The final consumption is one important studies that follow the expenses method of GDP calculation and formation. The econometric approach gives substantial results when a longer interval is approached. The fact of econometric model is the dependence of the national economy on final consumption. Thus, the unifactorial regression model can be used to establish the influence that the value of final consumption. The Researcher make some description about final consumption in Southeast Asia+3 and US.

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