Is Fiscal Deficit Essential for Stimulating Economic Growth in Developing Economies? Theory and Empirical Evidence from India

2021 ◽  
Keyword(s):  
Economic Growth ◽  
Developing Economies ◽  
Negative Impact ◽  
Gdp Growth ◽  
Fiscal Deficit ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

The primary purpose of this paper was to assess the impact of fiscal deficit on the economic growth of the Indian economy and find out the causality between fiscal deficit and economic growth from 1981-82 to 2019-20. To analyse the long-run relationship between the variables Johansen Co-integration test was used; after verifying the existence of long-run relationship among variables, the Vector Error Correction Model (VECM) was used, and the Granger Causality test was also used for investigating the direction of causality between pair of variables. The findings of the study supported the ideology of classical economists in which they neglected the government intervention for the growth and development of an economy. The results showed that in long run, fiscal deficit had a significant negative impact on economic growth as one percent increase in fiscal deficit demoted the GDP growth rate by 0.075 percent, whereas in the short run, the impact was also found negative, but it was significant only one lag. Simultaneously, there was unidirectional causality found from fiscal deficit to GDP growth.

Impact of Trade Openness on Nigerian Economic Growth: An Empirical Investigation, 1970–2011

2020 ◽  
Vol 55 (2) ◽  
pp. 239-247 ◽  
Author(s):  
Gerald C. Nwadike ◽  
Ani Kelechi Johnmary ◽  
Chukwuma Samuel Alamba
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Unit Root Test ◽  
Total Import ◽  
Private Sector Investment ◽  
Ex Post ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

Geopolitical territories have often engaged in one form of trade or another with their neighbours. That is because no nation in the world can survive without one form of trade with other sovereign states. This study examines the nature of trade openness and economic growth in Nigeria from 1970–2011. The emphasis of this empirical study is to ascertain the impact of trade openness on Nigeria’s economic growth. Causal comparative or ex-post facto research design was adopted in the study. Econometric time series analyses like ADF unit root test, co-integration test and the ordinary least squared (OLS) were employed in the study. The result obtained was used to test the hypotheses, and it was revealed that (i) Trade Openness has positive significant impact on Nigeria’s economic growth; while (ii) Gross Domestic Product (GDP) responds to the shock of Trade Openness value as a proxy of total import and total export divided by GDP as well as change in Exchange Rate (DEXR) within Nigeria’s economy during the period of study. Thus, the co-integration results indicate that there exists long-run relationship among the variables used; hence; the researchers then recommended that there is urgent need for the government to create enabling environment for good trade policy that would attract both foreign and domestic private sector investment in the country. JEL Codes: F13, B27

scholarly journals How do Globalization, Technological Change and Employment Impact Economic Growth in Developing Countries? Evidence from Panel Data Analysis

2018 ◽  
Vol 1 (1) ◽  
pp. 39-49
Author(s):  
Fatima Saleem ◽  
Fatima Farooq ◽  
Imran Sharif Chaudhry ◽  
Noreen Safdar
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Causality Analysis ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
The Impact

This study aims at exploring the impact of globalization, technology and employment on economic growth of developing economies. This study also observed the long-run, short-run and causality relationships between globalization, technological innovations, employment, and economic growth for 20 selected developing countries covering the data for period of 1991 to 2017.  Since stationary of variables is examined through ADF tests, Levin-Lin-Chu test, and IM-Pesaran-Shin test and resulted with mixed order of integration, Panel ARDL estimation techniques are employed to measure the long run effects of these variables on growth of selected economies. Dumitrescu-Hurlin panel Granger Causality test was applied for causality analysis. All variables have strong positive and significant relationship with growth. This study concluded that knowledge and research-based education have a key role in promoting long-run growth as evident from the ‘New growth theory’ of Romer. On the basis of these results, it is suggested that knowledge and research-based education should be promoted and export-oriented policies should also be encouraged to attain benefits of trade openness and globalization for accelerating economic growth on sustainable basis.

scholarly journals Analysis of the Impact of Fiscal Policy on Economic Growth in South Africa: VECM Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 231
Author(s):  
Tshembhani Mackson HLONGWANE ◽  
Itumeleng Pleasure MONGALE ◽  
Lavisa TALA
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Fiscal Policy ◽  
Negative Impact ◽  
National Development ◽  
Real Gdp ◽  
Long Run ◽  
Fixed Capital Formation ◽  
The Government ◽  
The Impact

Fiscal policy ensures macroeconomic stability as a precondition for growth at the macro level. This study investigates the impact of fiscal policy on economic growth of South Africa from 1960 to 2014 through a Cointegrated Vector Autoregression approach. It seeks to contribute to the existing literature as well as in designing effective fiscal policy programmes which can propel economic performance. Theresults of the long run estimates revealed that government tax revenue has a positive and significant long run influence on economic growth, whereas the government gross fixed capital formation and budget deficit have a negative impact on real GDP. For that reason, the study recommends that some expansionary fiscal policy measures should be strengthened since they play a very important role in the economy so as to meet the government target of the National Development Plan Vision for 2030.

scholarly journals Tax revenue, expenditure, and economic growth: An analysis of long-run relationships

2017 ◽  
Vol 24 (03) ◽  
pp. 04-26
Author(s):  
Lien Nguyen Phuong ◽  
Thanh Su Dinh
Keyword(s):  
Economic Growth ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Tax Revenue ◽  
Dynamic Panel ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Impact

Focusing on the investigation of “long-term” relationship between tax revenue, expenditure, and economic growth, this paper employs the Granger causality test and finds that the linkage between tax revenue and spending is a bi-directional causal correlation. Furthermore, applying Persyn and Westerlund’s (2008) co-integration test allows for corroboration of existence of long-run cointegration linkages among outcome of economy and the three variables. In addition, by adopting two-step system generalized method of moments (SGMM) for a dynamic panel of 82 developed and developing countries during 16-year period (2000–2015), this research demonstrates that the impact of tax revenue and spending is substantial and ambiguous, depending on different groups of economies.

scholarly journals Economic Growth And Unemployment: An Empirical Assessment of Okun’s Law In The Case of Liberia

2021 ◽  
Author(s):  
Kaiballah Conteh
Keyword(s):  
Economic Growth ◽  
Unit Root Test ◽  
Policy Implications ◽  
Causality Test ◽  
Flexible Labor ◽  
Long Run ◽  
Integration Test ◽  
Augmented Dickey Fuller ◽  
Auto Regressive ◽  
The Government

The aim of this research is to look at the relationship between economic growth and unemployment in Liberia from 2001 to 2019. To investigate the association between unemployment and Gross Domestic Product (GDP), the unit root test, the Augmented Dickey-Fuller (ADF) Co-integration test, and the Standard Granger Causality test were used. The Auto Regressive Distribution Lag (ARDL) bounds test is used to decide if the variables have a long run linkage. The ARDL model findings indicate that there is no long-run association between unemployment and economic growth. The findings of this analysis have especially significant policy implications for Liberian economic policymakers. The observational findings revealed a negligible association between unemployment and economic growth in both the long and short term. The Liberian government should redirect its spending toward activities that directly and indirectly promote the creation of employment and decent jobs, a conducive environment and flexible labor market policies or legislation that are not impediments to job creation should be created, and finally, the government should prioritize industries that promote labor intensive.

Exploring the long-run relationship between financial inclusion and agricultural growth: evidence from Pakistan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Usman Farooq ◽  
Fu Gang ◽  
Zhenzhong Guan ◽  
Abdul Rauf ◽  
Abbas Ali Chandio ◽  
...  
Keyword(s):  
Negative Impact ◽  
Financial Inclusion ◽  
Small Scale ◽  
Content Type ◽  
Agricultural Growth ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

PurposeThis study aims to investigate the long-run relationship between financial inclusion and agricultural growth in Pakistan for the period of 1960–2018.Design/methodology/approachThe autoregressive distributed lag (ARDL) approach, the Johansen co-integration test and the dynamic ordinary least squared (DOLS) method are used for the evaluation.FindingsThe results show that in both short- and long run, domestic credit has a significantly negative impact on the agricultural growth, while broad money and cropped area positively affected the agricultural growth in Pakistan in both cases.Practical implicationsThe government and policymakers need to develop strategies that bring together agriculturalists on a single platform so that the government can clearly distinguish the interests of these farmers and can obtain precise information for allocating agricultural expenditure and easing access to credit for small-scale agriculturalists.Originality/valueThis is the first study to evaluate the impact of financial inclusion on the agricultural growth in Pakistan by using different econometric techniques, including the ARDL-bound approach, Johansen co-integration test and DOLS method.

A Causal Analysis between Construction Flows and Economic Growth: Evidence from India

2011 ◽  
Vol 12 (2) ◽  
pp. 27-42
Author(s):  
Aviral Kumar Tiwari
Keyword(s):  
Economic Growth ◽  
Standard Deviation ◽  
Structural Breaks ◽  
Negative Impact ◽  
Positive Impact ◽  
Causality Test ◽  
Positive Direction ◽  
Dynamic Framework ◽  
Long Run ◽  
The Impact

The study examined the causal relationship between construction flows and economic growth under a static and dynamic framework by employing the Engel-Granger and IRFs approach with incorporation of endogenously determined structural breaks. The static causality test result provided the evidence of bidirectional Granger-causality between construction flows and economic growth in India. The dynamic causality analysis indicated that for the first ten years, a standard deviation innovation in construction had positive impact on the GDP, while the long-run impact was negative. However, a standard deviation shock/innovation in GDP had a negative impact on the construction flows of the economy for the first 10 years of the period under shock analysis, while for the long-run, the impact was in the positive direction.

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 Stock Market Development and Economic Growth in Bangladesh: An Empirical Appraisal

2019 ◽  
pp. 252-258
Author(s):  
Md. Shakhaowat Hossin ◽  
Md. Shafiul Islam
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Policy Formulation ◽  
Market Development ◽  
Test Results ◽  
Causality Test ◽  
Stock Market Development ◽  
Long Run ◽  
Integration Test ◽  
The Impact

This article seeks to examine the impact of the Bangladesh’s stock market development on its economic growth from the period of 1989-2012. We have used Johansen Cointegration test to estimate the long-run equilibrium relationship between the variables and the Granger causality test was conducted in order to establish causal relationship, while the model was estimated using the error correction model (ECM). Johansen co-integration test results show that the Bangladesh’s stock market development and economic growth are co-integrated. This indicates that a long run relationship exists between stock market development and economic growth in Bangladesh. The causality test results suggest a unidirectional causality from stock market development to the economic growth. On the other hand, there is no “reverse causation” from economic growth to stock market development. The evidence from this study reveals that the activities in the stock market tend to impact positively on the economy. It is recommended therefore that stock market regulatory authority should therefore address policy issues that are capable of boosting the investors’ confidence through improved policy formulation and creation of awareness.

scholarly journals What is the relationship between FDI and economic growth? Evidence from EU15 countries

2020 ◽  
Vol 8 (1) ◽  
pp. 253-281
Author(s):  
Vlatka Bilas
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Panel Cointegration ◽  
Gdp Growth ◽  
Causality Test ◽  
Ardl Model ◽  
Long Run ◽  
Gdp Growth Rate ◽  
The Impact ◽  
The Relationship

The aim of the paper is to examine the relationship between foreign direct investment (FDI) and economic growth in EU15 countries over the period 2002-2018. EU15 makes a group of countries which entered the EU prior to the biggest enlargement in 2004, namely latest in 1995 (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden and United Kingdom). Paper findings contribute to the existing literature on the impact of FDI on economic growth. It employs different unit root tests, panel cointegration test (ARDL model) and Granger causality. Estimated panel ARDL model found some evidence that there are long-run equilibrium between LogGDP, LogFDI and LogFDIP series. The rate of adjustment back to equilibrium is between 4.43% and 5.95%. The long-run coefficients are all positive, but not all of them are statistically significant. In case of LogFDIP series long-run coefficients are statistically significant, varying between 0.1226 and 0.4398. These coefficients indicate that 1% increase in LogFDIP (logarithm of FDI to GDP) increases LogGDP between 0.1226% and 0.4398%. Results of Dumitrescu-Hurlin panel causality test indicated that there is only unidirectional causal relationship from GDP growth rate to FDI growth rate, and from GDP growth rate to LogFDIP. Conclusively, there is only a weak evidence that FDI had statistically significant impact on the GDP in EU15 countries.

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