scholarly journals Impact of Economic Reforms, FDI and Imports on GDP: Trends and Regression Analysis

2018 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Time Series Data ◽  
Economic Reforms ◽  
Chinese Economy ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Integration Test

The aim of this study is to explore the causal relationship between the exports, imports and economic growth of Chinese economy using time series data running from 1978 to 2016.Co integration, Granger Causality analysis and Vector Error Correction Mechanism (VECM) has been used in order to test the hypotheses about the presence of causality and co integration among the variables. The co integration test confirmed that exports, imports and GDP are co integrated, indicating an existence of long run equilibrium relationship among the variables and also confirmed by the Johansen co integration test results. The Granger causality test finally confirmed the presence of bi-directional causality between exports, imports and GDP. The study further shows that relative share of china’s exports in world exports has increased significantly after the introduction of economic reforms. Further, the rising exports have also made a significant contribution to the economic growth of Chinese economy due to forward and backward linkages.

scholarly journals Effect of Foreign Aids on Economic Growth in Nigeria

2020 ◽  
pp. 194-204
Author(s):  
Isiaka Najeem Ayodeji ◽  
Makinde Wasiu Abiodun
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Unit Root Test ◽  
Secondary Data ◽  
Least Square ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Impact

This study investigated the impact of foreign aids on economic growth in Nigeria using time series data spanned from 1990 to 2017. The research considered the secondary data that were gathered from CBN statistical bulletin 2017 and World Bank Data Indictors. Ordinary Least Square techniques was adopted in the study and used Augmented Dickey-Fuller Unit Root Test, co integration test, granger causality test, ECM to estimates data employed. The findings revealed that all the variables employed were stationary at first difference and integrated at the same order1(I), the co-integration test shows that variables are co-integrated at one co-integrating equation which means that there is a long run relationship. The Error Correction Model established that the error that caused disequilibrium in the short run is being corrected in the long-run at a speed of adjustment at 6%. The findings revealed real gross domestic product responds inversely to changes in official development assistance and foreign direct investment. Based on these findings the study concluded that foreign aids have a significant impact on economic growth in Nigeria. Different diagnostic tests are applied in order to confirm the major assumption of multiple regression analysis like multicollinearity, heteroskedasticity and autocorrelation. Therefore, the study recommends among others that government needs to formulate strong and effective education and healthcare policies to facilitate and attract investment in the sectors and improve their efficiency in the long-run that will influence productivity.

scholarly journals Human Capital and Economic Growth in India: A Co-integration and Causality Analysis

2015 ◽  
Vol 14 (2) ◽  
pp. 1-18
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Granger Causality ◽  
Capital Investment ◽  
Time Series Data ◽  
Series Data ◽  
Causality Analysis ◽  
Health Investment ◽  
Education Investment ◽  
Integration Test

The aim of this study is to explore the causality relationship between the human capital investment (education & health investment) and economic growth of Indian economy using time series data running from 1991-92 to 2012-13. Co integration, Granger Causality analysis and Vector Error Correction Mechanism (VECM)has been used in order to test the hypotheses about the presence of causality and co integration among thevariables. The co integration test confirmed that education investment, health investment and GDP are co integrated, indicating an existence of long run equilibrium relationship as confirmed by the Johansen co integration test results. The Granger causality test confirmed the presence of two way causality between education investment and GDP and also between health investment and GDP. It justify that both the components of human capital under consideration i.e. education investment and health investment are the key variables which are affecting economic growth of India and in the same way economic growth providing a platform for the growth of human capital.

scholarly journals Exploring the linkages of Foreign Direct Investment in Spain since 1970’s: an ARDL approach

2020 ◽  
Vol 33 (1) ◽  
pp. 39-54
Author(s):  
Verónica Cañal Fernández ◽  
Julio Tascón Fernández ◽  
María Gómez Martín
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Granger Causality ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Bounds Testing ◽  
Causality Test ◽  
Long Run ◽  
The Relationship

This paper analyzes the relationship between foreign direct investment (FDI), exports and economic growth in Spain using annual time series data for the period 1970 to 2016. To examine these linkages the autoregressive distributed lag (ARDL) bounds testing approach to cointegration for the long-run is applied. The results confirm a long-run relationship among the examined variables. The Granger causality test indicates a strong unidirectional causality between FDI and exports with direction from FDI to exports. Besides, the results for the relationship between FDI and economic growth are interesting and indicate that there is no significant Granger causality from FDI to economic growth and vice-versa.

scholarly journals Interaksi Hubungan antara Foreign Direct Investment dan Pertumbuhan Ekonomi

2019 ◽  
Vol 9 (2) ◽  
pp. 65-77
Author(s):  
KHOIRUL IFA ◽  
Neny Tri Indrianasari ◽  
Nawangsih Nawangsih
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Granger Causality ◽  
Direct Investment ◽  
Time Series Data ◽  
The Philippines ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Close Relationship

In ASEAN 5 countries namely Indonesia, Vietnam, Thailand, the Philippines and Malaysia have almost the same culture, in terms of social and economic aspects, the 5 countries have links between one country and another, so it is possible that the flow of foreign investment has a close relationship with economic growth. This study aims to determine the relationship between Foreign Direct Investment (FDI) and Economic Growth in ASEAN 5 Periods 1986-2017. This research is a two-way relationship research between the independent variable and the dependent variable that are reciprocal. The type of data used is the 1986-2017 time series data. Sources of data obtained from the World Bank. Data analysis technique uses Granger Causality analysis to see the 2-way relationship, and VAR (Vector Auto Regression) analysis by looking at the implus response factor for non-stationary data using VECM (Vector Error Correction Model) analysis. The results of the study state that based on the Granger Causality test there is no relationship between FDI and GDP and vice versa between GDP and FDI. Based on the VECM test there is a relationship between FDI and GDP.

Cointegration and Causality between Disaggregated Exports and Economic Growth in ASEAN-4 Nations

2021 ◽  
Vol 12 (3) ◽  
pp. 633-645
Author(s):  
Shahrun Nizam Abdul-Aziz Et.al
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Time Series Data ◽  
Granger Causality Test ◽  
The Philippines ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Manufactured Exports

This study aimed to examine the relationship between ASEAN-4’s disaggregates exports (i.e., manufactured and primary exports) and economic growth by utilising the time series data over the period from 1982 to 2017. The Johansen-Juselius multivariate procedure was performed to determine the existence of the long-run relationship between variables, while the Granger causality test within VECM was applied to analyse the long-run and short-run causal directions. Prior to that, the unit root test was conducted to examine the series properties of the variables. The empirical results from the Johansen and Juselius Multivariate Cointegration test revealed that there were long-run equilibrium relationships among variables, while the Granger causality test based on VECM found that the ELG hypothesis for manufactured exports was valid for Indonesia in the long-run and short-run, while in the Philippines this hypothesis was only valid for the short-run. On the other hand, in the case of Malaysia and Thailand, both ELG and GLE hypotheses were valid in both long-run and short-run. For each ASEAN-4 nation the results also revealed that physical capital indirectly caused economic growth via the manufactured exports. Nevertheless, in the case of Malaysia and Thailand, it seemed that the reserve effect was likely to happen whereby the economic growth caused the growth of manufactured exports through the increase of the national production. The growth of the manufactured exports due to the reverse effect in turn caused the demand for imports to increase, particularly the imports of intermediate products. As far as the primary exports were concerned, the ELG hypothesis was valid for Thailand in both long-run and short-run, while for Malaysia and Indonesia, this hypothesis was valid respectively in the long-run and short-run. For Thailand, Indonesia and Malaysia, it appeared that in the short run, human capital indirectly stimulated economic growth via primary exports.

scholarly journals The Nexus between Export and Economic Growth in Tanzania

2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
Causality Test ◽  
Goods And Services ◽  
Long Run ◽  
Causality Tests ◽  
The Government ◽  
Econometrics Analysis

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.

scholarly journals COINTEGRATING RELATION BETWEEN EXCHANGE RATE AND GOLD PRICE

2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Relationship

The very purpose of this paper is to analyse the relationship between gold price and Rupee – Dollar exchange rate in India. The study utilises the annual data of exchange Rate (ER) and Gold Price (GP) from 1970 to 2015 to determine the relationship. Different econometric tools like Unit root test, Johansen co integration test, Vector error correction model, Granger causality test are used for detecting the long run relation, if any between the mentioned variables. The result shows that there exists a long run cointegrating relation between the variables. That is we can stabilise the Gold Price movement by controlling the exchange rate fluctuations. Likewise it also shows that Exchange rate doesn’t Granger cause to Gold price and vice versa. It means that the time series data of one vasriable cannot be used to predict another.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

scholarly journals Stock Market and Economic Development: a Causality Test

2007 ◽  
Vol 3 (1) ◽  
pp. 36-44 ◽  
Author(s):  
Surya Bahadur G.C. ◽  
Suman Neupane
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Stock Market ◽  
Time Series Data ◽  
Series Data ◽  
Causality Test ◽  
Stock Market Development ◽  
Business Studies ◽  
Long Run ◽  
Made In

ABSTRACT An attempt has been made in this paper to examine the existence of causality relationship between stock market and economic growth based on the time series data for the year 1988 to 2005 using Granger causality test. The study finds the empirical evidence of long-run integration and causality of macroeconomic variables and stock market indicators even in a small capital market of Nepal. The causality has been observed only in real terms but not in nominal variables. In econometric sense, it depicts that the stock market plays significant role in determining economic growth and vice versa. Interestingly, the causation is evident with a lag of 3 to 4 years. Also, the paper reveals the importance of stock market development for fostering economic development. Journal of Nepalese Business Studies 2006/III/1 pp. 36-44

scholarly journals Granger Causality Between Local Government Expenditure and Economic Growth in Indonesia

2018 ◽  
Vol 3 (4) ◽  
pp. 80-86
Author(s):  
Sri Kurniawati
Keyword(s):  
Economic Growth ◽  
Local Government ◽  
Granger Causality ◽  
Government Expenditure ◽  
Granger Causality Test ◽  
Reciprocal Relationship ◽  
Series Data ◽  
Causality Test ◽  
West Kalimantan ◽  
Integration Test

Objective - This study examines the causal relationship between government expenditure and economic growth in West Kalimantan between 2009 and 2015. This research resulted in the enactment of Wagner's Law and/or Keynes's Theory in West Kalimantan leading the local government to take the right policies as an effort towards improving economic development. Methodology/Technique - By using panel data that combines time series data and cross-site data, it will be estimated by the Granger causality test which begins with a stationary test and co-integration test. Based on the co-integration tests, the results suggest that there is a long-term relationship between government expenditure and economic growth. Meanwhile, based on the Granger causality test, there is no reciprocal relationship between government expenditure and economic growth. Findings - A direct relationship in the form of the influence of government expenditure on economic growth in West Kalimantan. Novelty - These results are in line with the Keynes's Theory through its national income function. Type of Paper: Empirical Keywords: Government Expenditure; Economic Growth; Co-integration; Causality. JEL Classification: F40, F43, F49.

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