scholarly journals El papel de las externalidades de capital humano en un modelo de crecimiento endógeno para México

2018 ◽  
pp. 97
Author(s):  
Ana Beatriz Carrera Aguilar ◽  
Arturo Robles Valencia
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Regression Model ◽  
Technological Parameter ◽  
Fixed Time ◽  
Time Effects ◽  
Specific Factors ◽  
Capital Humano ◽  
University Degree ◽  
Empirical Approaches

A través de aproximaciones empíricas apoyadas en el modelo de crecimiento de Paul Romer y de la función de producción neoclásica tipo Cobb-Douglas, este trabajo incluye los factores propios de estos modelos a través de externalidades de capital para explicar el crecimiento económico en México. Se realizó un modelo de regresión de efectos fijos en el tiempo, empleando datos longitudinales para el período 2003-2008. Se concluye que el parámetro tecnológico es determinante para explicar el crecimiento del PIB mexicano, esto es, que la proporción de población con estudios superiores terminados influye directamente en el crecimiento económico del país. Las inversiones en ciencia y tecnología por parte de los estados mexicanos resultaron no significativas dentro del experimento realizado.Through empirical approaches supported in the growth model of Paul Romer and neoclassical production function Cobb-Douglas, this work includes specific factors such as externalities capital models to explain economic growth in Mexico. A panel data was constructed for 2003-2008 and a fixed-time-effects regression model applied. It is concluded that technological parameter is crucial for the growth of Mexican GDP, that is, the proportion of population with university degree directly affects economic growth. Investments in science and technology made by mexican states were not significatives within the experiment performed.

scholarly journals ANALISIS PENGARUH BELANJA MODAL TERHADAP PERTUMBUHAN EKONOMI DAN KETIMPANGAN PENDAPATAN DI SUMATERA BARAT

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Yohana Pranita ◽  
Idris Idris
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Regression Model ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Capital Expenditures ◽  
West Sumatra

Abstrak : This study aims to determine and analyze the effect of capital expenditureon economic growth and income inequality in West Sumatra. This research isdescriptive and inductive. The data used in this study is secondary data with datacollection using panel data obtained from BPS West Sumatra Province 2014-2018period with 19 regencies / cities in West Sumatra. This study analyzed using asimultaneous equation model (simultaneous equation regression model). The resultsof this study indicate that (1) Capital Expenditures have a significant effect onEconomic Growth in West Sumatra (2) Capital Expenditures have no significanteffect on Income Inequality in West Sumatra (3) Simultaneously Capital Expendituresand Economic Growth have a significant effect on Income Inequality in WestSumatra.Keyword : Capital Expenditure, Economic Growth, Income Inequality

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA DI SEKTOR INDUSTRI DAN PERDAGANGAN DI KABUPATEN/KOTA DI SUMATERA BARAT

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 634
Author(s):  
Muhammad Aidil Idham ◽  
Alpon Satrianto
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Regression Model ◽  
Analytical Method ◽  
T Test ◽  
Sequential Data ◽  
Education And Health ◽  
West Sumatra ◽  
The Cost ◽  
Economic Strengthening

This study aims to determine and analyze the factors that influence labor in the industrial and trade sectors in the province of West Sumatra. The type of data in this study is panel data from 19 districts / cities in West Sumatra. In analyzing sequential data for 2011 to 2015, the analytical method is the Regression Model Panel, the Classic Assumption Test and the t Test. Based on the results of testing the economic growth of West Sumatra, this is significant for workers in West Sumatra, while education and health have no significant effect on workers in West Sumatra. Positive economic strengthening of labor absorption Increased economic growth. While education and health do not have the cost to work..   Keywords:  economic growth, education, health and labor

scholarly journals Foreign direct investment, financial development and economic growth in Asian developing countries

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Nguyen Van Phuc ◽  
Nguyen Thuc Duy Anh
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Regression Model ◽  
Financial Development ◽  
Direct Investment ◽  
Fixed Effects ◽  
Lm Test ◽  
Asian Developing Countries

This research investigates the role of domestic financial development in enhancing the positive effects of foreign direct investment (hereafter, FDI) on economic growth in Asian developing countries. In other words, we examine whether countries with a better domestic financial system can utilize FDI more efficiently. The empirical analysis uses balanced panel data of 24 Asian developing countries in the period 1995-2009. This research applies the various models and techniques in panel data regression. Linear static models for panel data, including constant coefficients model or pooled regression model (POOLED), fixed effects regression model (FEM) and random effects regression model (REM) are employed. We analyze all models and employ several kinds of test including poolability test, Hausman test, LM test, fixed effects tests and Wald tests to select the most appropriated estimated model. The research findings show that FDI alone does not have direct effect on economic growth but does have when combined with financial development. Well-developed domestic financial markets promote the process of technological diffusion associated with FDI in Asian developing countries. Therefore, FDI and domestic financial development are complementary in increasing the rate of economic growth in the region. There is a threshold level of domestic financial development above which FDI starts to have positive impacts on economic growth.

Determinants Of Capital Structure For Multinational And Domestic Companies In India: Panel Data Regression Model

2019 ◽  
Vol 118 (7) ◽  
pp. 147-154
Author(s):  
K. Maheswari ◽  
Dr. J. Gayathri ◽  
Dr. M. Babu ◽  
Dr.G. Indhumathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Business Risk ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression ◽  
Return On Capital ◽  
Domestic Companies ◽  
The Capital Structure

The capital structure refers to the components of capital needed to establish and expand its business activities. The study was made with an objective to examine the determinants of capital structure of multinational and domestic companies listed in S&P BSE automobile sector. The study concluded that there is significant impact on capital structure determinants such as size, business risk, non debt shield tax, return on assets, tangibility, profit, return on capital employed and liquidity on the capital structure of multinational and domestic companies of Indian Automobile Sector.  

PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PDRB DI PROVINSI INDONESIA

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Infrastructure Investment ◽  
Water Infrastructure ◽  
Infrastructure Development ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
Spatial Coverage ◽  
The Government

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data

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