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 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 Impact of Human Capital Underutilization on Economic Growth: the Case of India

2021 ◽  
Author(s):  
Vijaya Kumar M ◽  
Balu B
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Negative Relationship ◽  
Series Data ◽  
International Labor Organization ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Adf Test

Abstract This study investigated the effect of human capital underutilization on the economic growth of India. It has used time-series data accessed from the International Labor Organization (ILO) and World Bank database. This paper estimated the relationship between the underutilization of human capital on economic growth by applying the econometric tests like Augmented Dickey-Fuller (ADF) Test, Johansen Integration Test, and the Autoregressive Distributed Lag (ARDL) model. The results revealed that in the long run human capital underutilization has a negative relationship on GDP and labor productivity and it does not in the short run. The study recommends that specific policy legislations in the Indian labor markets are required for addressing the problem of human capital underutilization and thereby accelerating the economic growth and productivity for the current and future generations.

scholarly journals Estimating the Impact of Human Capital Underutilization on the Productivity and Economic Growth in India

2021 ◽  
Author(s):  
Vijaya Kumar M ◽  
Balu B
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Negative Relationship ◽  
Series Data ◽  
International Labor Organization ◽  
Distributed Lag ◽  
Integration Test ◽  
The Impact ◽  
Adf Test

Abstract This study investigated the effect of human capital underutilization on productivity and economic growth. It has used time-series data accessed from the International Labor Organization (ILO) and World Bank database. This paper estimated the relationship between the underutilization of human capital on productivity and economic growth by applying the econometric tests like Augmented Dickey-Fuller (ADF) Test, Johansen Integration Test, and the Autoregressive Distributed Lag (ARDL) model. The results revealed that in the long run human capital underutilization has a negative relationship on GDP and labor productivity and it does not in the short run. The study recommends that specific policy legislations in the Indian labor markets are required for addressing the problem of human capital underutilization and thereby accelerating the economic growth and productivity for the current and future generations.

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.

scholarly journals The impact of agriculture trade and exchange rate on economic growth of Pakistan: an NARDL and asymmetric analysis approach

2020 ◽  
Vol 50 (4) ◽  
Author(s):  
Imad Ali ◽  
Imran Khan ◽  
Hashmat Ali ◽  
Khan Baz ◽  
Qiangqiang Zhang ◽  
...  
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Granger Causality ◽  
Time Series Data ◽  
Maximum Level ◽  
Series Data ◽  
Distributed Lag ◽  
Integration Test ◽  
Trade And Exchange ◽  
The Impact

ABSTRACT: This study contributes to the extant literature on the nexus among agriculture export, import exchange rate and economic growth in Pakistan. We used annual time series data for 1980-2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. The NARDL testing results affirms asymmetric co-integration among the variables. The study main results show: (i) Co-integration test for long run the positive shocks in export and import have positive significant while exchange rate has positive effect the economic growth. (ii) Co-integration test for short run the positive shocks in import has positive significant and while Export and exchange rate have negative significant effect on economic growth. The symmetrical results show: (i) Export has unidirectional granger causality (ii) Exchange rate has bidirectional granger causality (iii) Import has not ganger causality with economic growth. In addition, the results demonstrated that causality relationship can help out policy maker to design such policies which are useful to economic growth of Pakistan, which could further promote foreign trade to gain the maximum level of economic growth.

scholarly journals ANALISIS DETERMINASI PERTUMBUHAN EKONOMI PROVINSI JAMBI

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Ali Fahmi
Keyword(s):  
Economic Growth ◽  
Government Spending ◽  
Capital Investment ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Investment Capital

This research aims to analyze the effect of government spending, investment of foreign capital investment, capital investment In Land and labor against growth of Jambi province during the 2004-2015. This research using Time Series data with regression analysis "Ordinary Least Square (OLS) wear EViews 8.  The findings from this research indicate that Labor become the most variable gives a positive impact against the next economic growth, government spending and investment, while investing PMDN PMA gives negative impact on The Economic Growth Of The Province Of Jambi. PMA investment posit no impact and no signikan against economic growth this is not prevalent, but it is possible the investment PMA in Jambi province is relatively small and still no impact in the absorption of the local Workforce. Menyikapai is an effort to boost the Economic growth of the Province of Jambi then needed a special business development policies should be directed at the activities that are labor-intensive to absorb labor as much as possible. Keywords: economic growth, government spending, PMA, the PMDN, and labor.

scholarly journals Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4) ◽  
pp. 164
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

Previous studies generally find mixed empirical evidence on the relationship between government spending and economic growth. This study re-examine the relationship between government expenditure and economic growth in South Africa for the period of 1990 to 2015 using the Vector Error Correction Model and Granger Causality techniques. The time series data included in the model were gross domestic Product (GDP), government expenditure, national savings, government debt and consumer price index or inflation. Results obtained from the analysis showed a negative long-run relationship between government expenditure and economic growth in South Africa. Furthermore, the estimate of the speed of adjustment coefficient found in this study has revealed that 49 per cent of the variation in GDP from its equilibrium level is corrected within of a year. Furthermore, the study discovered that the causality relationship run from economic growth to government expenditure. This implied that the Wagner’s law is applicable to South Africa since government expenditure is an effect rather than a cause of economic growth. The results presented in this study are similar to those in the literature and are also sustained by preceding studies.

Human Capital Impact on Economic Growth in Nigeria

2021 ◽  
Vol 7 (18) ◽  
pp. 15-22
Author(s):  
Chuwuemeka Ogugua AGBO ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Private Investment ◽  
Series Data ◽  
Tertiary Institutions ◽  
Explanatory Variables ◽  
The Government ◽  
The Impact

This study aims to examine the impact of human capital on economic growth in Nigeria. Despite all effort to improve education condition in Nigeria, there hasn’t been much encouraging improvement. This has caused a large number of the population to move abroad for studies. Most conducive tertiary institutions are owned by private individuals, the government owned universities have been overlooked and recklessly abandoned. In this study OLS multiple regression was adopted to analyze the time series data for the period of 1985-2018 to test if Average Year of Schooling (AVYS), Private Investment in Telecommunication (PIT), Capital Expenditure on Education (CEE), and Recurrent Expenditure on Education (REE) have an impact on growth in Nigeria or not. The data was derived from CBN statistical Bulletin (2018). Result showed that all the four explanatory variables have significant impact on Economic growth. However, it is therefore important for government to increase education budget annually.

HUBUNGAN KAUSALITAS HARGA JUAL DAN HARGA SEWA APARTEMEN DI JABODETABEK

2021 ◽  
Vol 1 (1) ◽  
pp. 93-105
Author(s):  
Zainal Zawir Simon ◽  
Effendy Zain ◽  
Zulihar Zulihar
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Time Series Data ◽  
Investment Analysis ◽  
Series Data ◽  
Analysis Tool ◽  
Selling Price ◽  
Causality Analysis ◽  
Granger Causality Analysis ◽  
Causality Relationship

Abstrak Penelitian ini bertujuan untuk mengetahui hubungan kausalitas antara harga jual apartemen dan harga sewa apartemen di wilayah Jabodetabek. Data yang dipergunakan adalah data  time series dalam bentuk kuartalan untuk periode 2007:1-2018:3 dan alat analisis yang dipergunakan adalah analisa kausalitas Granger. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan kausalitas antara harga jual apartemen dan harga sewa apartemen di wilayah Jabodetabek. Dengan kata lain perubahan harga jual  tidak mempengaruhi harga sewa. Sebaliknya harga sewa juga tidak mempengaruhi harga jual apartemen. Dengan demikian Investor diharapkan dalam melakukan analisis investasinya memasukkan faktor-faktor lain yang dapat mempengaruhi harga jual dan harga sewa untuk apartemen, agar terlepas dari pandangan bahwa harga jual mempengaruhi harga sewa dan sebaliknya.Kata Kunci : Harga Jual apartemen, Harga Sewa Apartemen, Data Runtut Waktu, Analisa Kausalitas GrangerABSTRACTThis study aims to determine the causality relationship between the selling price of apartments and apartment rental prices in the Greater Jakarta area. The data used are time series data in quarterly form for the period 2007: 1-2018: 3 and the analysis tool used is the Granger causality analysis. The results showed that there was no causality relationship between apartment selling prices and apartment rental prices in the Greater Jakarta area. In other words, changes in selling prices do not affect rental prices. Conversely the rental price also does not affect the selling price of the apartment. Thus Investors are expected to carry out investment analysis to include other factors that can affect the selling price and rental price for an apartment, so that regardless of the view that the selling price affects the rental price and vice versa.Keywords : Selling Price of apartments, rental prices apartments, time series data, Granger Causality Analysis

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