Considering that GDP is one of the main indicators that influence the economic growth of a country, there are certain factors that affect its increase or decrease. This study was conducted to understand the relationship between the Philippines’ economic growth (Gross Domestic Product) and its economic factors namely: Trade Openness, Inflation rate, Foreign Direct Investment, and Labor Force. The researchers used a quantitative-correlational approach to determine the strength of the relationships between the variables. Moreover, the researchers concluded that the variables of Foreign Direct Investment, Trade Openness, Labor Force were significant determinants to explain economic growth, while Inflation Rate was insignificant. The Philippine government may utilize the paper to emphasize the relationship of the variables towards economic growth, specifically, the Trade openness variable, which showed a significant relationship towards economic growth yet had unsatisfactory results as an indicator for economic growth.

The main objective of this study is to determine the relationship between carbon dioxide emissions with other study variables such as economic growth, energy consumption, population growth, and gross capital formation in the case of the Philippines set during the period 1976 to 2014. This paper employs various econometric techniques: the Augmented Dickey-Fuller unit root test, Johansen Cointegration test, and Ordinary Least Squares (OLS) estimation regression to prove that there is a relationship between the study variables. The outcome of the unit root test states that all variables are stationary, and cointegration tests prove that there is a long-run relationship among the study variables involved. The Ordinary Least Squares (OLS) estimation shows that energy consumption, population growth, and gross capital formation have a significant relationship with carbon dioxide emissions while economic growth is insignificant. Energy consumption and gross capital formation show a direct relationship between carbon dioxide emissions, while economic growth and population growth are indirectly related.

Considering that GDP is one of the main indicators that influence the economic growth of a country, there are certain factors that affect its increase or decrease. This study was conducted to understand the relationship between the Philippines’ economic growth (Gross Domestic Product) and its economic factors namely: Trade Openness, Inflation rate, Foreign Direct Investment, and Labor Force. The researchers used a quantitative-correlational approach to determine the strength of the relationships between the variables. Moreover, the researchers concluded that the variables of Foreign Direct Investment, Trade Openness, Labor Force were significant determinants to explain economic growth, while Inflation Rate was insignificant. The Philippine government may utilize the paper to emphasize the relationship of the variables towards economic growth, specifically, the Trade openness variable, which showed a significant relationship towards economic growth yet had unsatisfactory results as an indicator for economic growth.

This study examines the values, trends, and variables that determine the public education expenditures of the Philippines from 1990 to 2019. The researchers used the following variables: Public Education, Culture, and Manpower Development Expenditure in Millions, Tax Revenue in % share GDP, Total Population in Millions, and Real Gross Domestic Product Per Capita, to pave the way for a coherent understanding of the determinants of public education expenditure and theories used to build up this economic construct. The study utilized a multivariate Ordinary Least Squares regression analysis needed for the variables, along with statistical measures to assess the significance of the model. Which includes the following: the values of the t-test and f-stat in their respective p valued forms for the significance of the economic model, tests for serial correlation through the Durbin-Watson test and Breusch-Godfrey test, a test for multicollinearity through Variance Inflation Factor, a test for heteroscedasticity through Goldfeld-Quandt test and White's Heteroscedasticity test, testing for specification errors will be done through Ramsey's RESET test, and test for normality will be through a graphical method Histogram. The key findings of this study suggest that the variables; economic growth, tax, and population growth show signs of positive relationship and negation with the dependent variable education expenditure.

Over the past century, natural disasters have been terrorizing the economy by causing human fatalities and damaging infrastructure and production inputs. The Solow growth model suggests that natural disasters adversely affect gross domestic product (GDP) since these disrupt the production of inputs. On the contrary, the Schumpeterian growth theory provides an explanation behind the positive effect of natural disasters on economic growth. This study analyzed the relationship between natural disasters (i.e. earthquake, flood, and storm), economic activities (i.e. foreign aid and foreign direct investment) and GDP per capita income in the Philippines from 1990 to 2019. This study employed a multivariate analysis, time series regression, and autoregressive distributed lag (ARDL) approach. The results revealed a complex relationship between GDP per capita and the regressors. In the short run, the independent variables have a negative and significant relationship with the country’s per capita income. On the contrary, only FDI has a significant long-run relationship with the economy of the Philippines. The results highlight the Philippines’ need for comprehensive disaster plans and to lessen its dependence on foreign and external factors.