scholarly journals The effects of tax structure on economic growth: evidence from Pakistan economies

2016 ◽  
Vol 4 (2) ◽  
pp. 109
Author(s):  
Mahfooz Khan ◽  
Saif Ul amin ◽  
Sammandar Khan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Fiscal Policy ◽  
Time Series Analysis ◽  
Unit Root ◽  
Unit Root Test ◽  
Study Data ◽  
Causality Test ◽  
Series Analysis ◽  
Long Run

The study has been conducted to find out the effects of fiscal policy on economic growth in Pakistan. Taxes are selected as a proxy for fiscal policy and GDP as an economic growth. In this study the time series analysis was used. The study used difference tests and models. These tests were unit root test which at different levels was used for stationary and non-stationary another model was co-integration the co-integration further used two tests one was trace test and second one was maximum Eigen value these tests used for long run relationships between taxes and GDP. In this study Granger causality test lag 2 and lag 4 also for checking the effects of taxes on Pakistan GDP. The objectives of the study are to find out the relationship between taxes and GDP and also to testify the random walk between taxes and GDP. The data were taken from 1981 to 2012. Taxes dealt as an independent and GDP as a dependent variable of the study. Data were collected from Federal Bureau of Statistics and from Pakistan economic survey. Time series analysis is used to testify the hypotheses. The results of Unit Root test shows that GDP and taxes has a unit root and it is non- stationary. GDP has no unit root and stationary in nature at 1st difference level. The results of co-integration shows that both taxes and GDP no co-integration at 5 % level of significance. The study concludes that there is no Co-integration between taxes and GDP. The study recommended that fiscal policy should make according to the situation of the country and the tax rate should be change with a smooth rate.

scholarly journals Causal Relationship between Foreign Direct Investment and Economic Growth in Nigeria: 1970-2013

2015 ◽  
Vol 7 (11) ◽  
pp. 230 ◽  
Author(s):  
Uwazie I. U. ◽  
Igwemma A. A. ◽  
Nnabu Bernard Eze
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Unit Root ◽  
Direct Investment ◽  
Developing Economies ◽  
Unit Root Test ◽  
Annual Data ◽  
Policy Reforms ◽  
Causality Test ◽  
Long Run

Foreign direct investment is presumed to play immense role in economic growth in both developed and developing economies. This assumption has motivated the army of studies to actually determine the nexus between foreign direct investment and economic growth in Nigeria. But these studies were not unified on the direction of the causation, hence the need for the study. To effectively analyze the result, the study employs vector error correction model method of causality to analyze the annual data for the periods of 1970 to 2013. The Augmented Dickey-Fuller (ADF) unit root test show presence of unit root at level but stationary after first difference. The Johansen cointegration test confirms that the variables are cointegrated while the granger causality test affirms that foreign direct investment and economic growth reinforce each other in the short run in Nigeria. Also, it is reported that foreign direct investment granger cause economic growth both in the short and long run in Nigeria. Based on these findings, the study advocates the adoption of aggressive policy reforms to boost investors’ confidence and promotion of qualitative human capital development to lure FDI into the country. It also suggests the introduction of selective openness to allow only the inflow of FDI that have the capacity to spillover to the economy. These will attract FDI and boost economic growth in Nigeria.

scholarly journals Nexus between Economic Growth, Tourism Revenue and Financial Development in Bangladesh: A Time Series Analysis

2019 ◽  
Vol 9 (3) ◽  
pp. 134
Author(s):  
Syeda Sumaiya Habib ◽  
Md. Shahanawaz Sharif ◽  
Mohammad Amzad Hossain
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Financial Development ◽  
Positive Impact ◽  
Series Data ◽  
Series Analysis ◽  
Long Run ◽  
Short Run ◽  
Tourism Revenue

The main objective of this study is to analyze the nexus between economic growth, tourism revenue, and financial development in Bangladesh. This paper uses time series data from 1995 to 2016. Advance technique of time series analysis: Johansen Cointegration Approach is used to test the Cointegration among variables. Moreover, the Vector Error Correction (VECM) has been applied to study the long run and short run association among variables. The outcome of this study reveals that the tourism revenue and financial development has positive impact on economic growth in the long run. Variance decomposition and impulse response function also supports the positive association. According to the estimation of Granger Causality also reveals the unilateral direction in short run economic growth to tourism revenue. Providing more credit by financial sector to invest more on infrastructure and promoting Bangladesh as well as insuring proper security for foreign visitors would increase the revenue of this sector, which in turn stimulates economic growth of the country.

The Contribution of Foreign Direct Investment for Economic Growth of Ethiopia: Time Series Analysis

2018 ◽  
Vol 9 (02) ◽  
Author(s):  
Addissie Melak
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Time Series Analysis ◽  
Direct Investment ◽  
Policy Framework ◽  
Annual Growth Rate ◽  
African Countries ◽  
Series Analysis ◽  
Integration Test

Economic growth of countries is one of the fundamental questions in economics. Most African countries are opening their economies for welcoming of foreign investors. As such Ethiopia, like many African countries took measures to attract and improve foreign direct investment. The purpose of this study is to examine the contribution of foreign direct investment (FDI) for economic growth of Ethiopia over the period of 1981-2013. The study shows an overview of Ethiopian economy and investment environment by the help of descriptive and econometric methods of analysis to establish empirical investigation for the contribution of FDI on Ethiopian economy. OLS method of time series analysis is employed to analyse the data. The stationary of the variables have been checked by using Augmented Dickey Fuller (ADF) Unit Root test and hence they are stationery at first difference. The co- integration test also shows that there is a long run relationship between the dependent and independent variables. Accordingly, the finding of the study shows that FDI, GDP per capita, exchange rate, total investment as percentage of GDP, inflow of FDI stock, trade as percentage of GDP, annual growth rate of GDP and liberalization of the economy have positive impact on Ethiopian GDP. Whereas Gross fixed domestic investment, inflows of FDI and Gross capital formation influence economic growth of Ethiopia negatively. This finding suggests that there should be better policy framework to attract and improve the volume of FDI through creating conducive environment for investment.

scholarly journals Impact of Crude Prices on Retail Prices – A Time Series Analysis

2019 ◽  
Vol 8 (2S7) ◽  
pp. 606-612
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Crude Oil ◽  
Energy Demand ◽  
Multivariate Time Series ◽  
Secondary Data ◽  
Series Analysis ◽  
Long Run ◽  
The Uk ◽  
The Impact

The UK has emerged as one of the largest producers of petroleum in the world. A significant amount of petroleum is used for fulfilling the energy demand within the country. However, the country witnessed a different trend from 2015. This is mainly due to the increase in imports of petroleum in order to meet domestic needs. To this, there is a need to identify the impact of changes exist in petrol and crude oil prices in the UK. In this context, the researcher has undertaken primary research to derive conclusions which are case specific and can comply with the research aim. The study used secondary data for the year 2015-2018 and conducted multivariate time series analysis. A series of tests including unit root, ARIMA, and co-integration tests were used to derive the results. The study found that there was an asymmetric relationship between the movements of prices of crude oil with respect to retail fuel prices in the long run. However, the study is not without limitations which are represented at the end of the study following with its future scope

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