scholarly journals Are some taxes better for growth in Pakistan? A time series analysis

2018 ◽  
Vol 45 (10) ◽  
pp. 1439-1452 ◽  
Author(s):  
Kashif Munir ◽  
Maryam Sultan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
International Trade ◽  
Sales Tax ◽  
Tax Base ◽  
Content Type ◽  
Long Run ◽  
Indirect Taxes ◽  
Short Run ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of taxes on economic growth in the long run as well as in the short run. Design/methodology/approach The study uses simple time series model, where real GDP is dependent variable and different forms of taxes are explanatory variables under ARDL framework from 1976 to 2014 at annual frequency for Pakistan. Findings Direct taxes have positive relation with economic growth in the long run. Sales tax, tax on international trade (tariffs) and other indirect taxes have positive impact on economic growth of Pakistan in the long run as well as in the short run. However, sales tax and other indirect taxes impact negatively on economic growth in the short run after one year because people realize decline in their real income. Practical implications Government should increase direct taxes by increasing tax base. Indirect taxes usually indicate negative impact after one and two years; therefore, government should decrease its reliance on indirect taxes. Government should promote tax awareness among the people which increase the tax morale of people and increase the tax base. Originality/value Taxes are disaggregated into direct and indirect taxes, while indirect taxes have been further disaggregated into excise duty, sales tax, surcharges, tax on international trade and other indirect taxes. This study provides useful insight for policy makers in designing taxes and their effect on growth.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

The Kyoto Protocol and CO2 emission: is India still hibernating?

2018 ◽  
Vol 11 (2) ◽  
pp. 152-168 ◽  
Author(s):  
Aaqib Ahmad Bhat ◽  
Prajna Paramita Mishra
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Kyoto Protocol ◽  
Empirical Relationship ◽  
Trade Openness ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
International Climate ◽  
The Impact

Purpose The purpose of this study is to investigate the relationship between CO2 emission and its core determinants, namely, economic growth, energy consumption and trade openness in the pre- and post-Kyoto Protocol era in the Indian economy. Design/methodology/approach The study uses the ARDL bounds test to analyze the long-run and short-run empirical relationship between the interested variables for the time period 1971-2013. A dummy variable representing the Kyoto Protocol regime has been included to examine the likely impact of international climate policies (Kyoto Protocol) in controlling and reducing CO2 emission in India. Findings The empirical results indicate the possibility of increase in CO2 emission from India even after the Kyoto Protocol regime. Evidence of inverted U-shaped relationship between CO2 emission and economic growth (EKC hypothesis) has been confirmed. However, compared to increase in CO2 emission, the magnitude of decrease due to improvement in economic growth is relatively lesser. Energy consumption and trade openness are also found to increase CO2 emission. Research limitations/implications The results indicate that there is a lack of commitment on the part of India to curtail CO2 emission, which can be disastrous for future prosperity. Financing the renewable electricity generation, R&D subsidy and tax-free renewable energy seems to be imperative to address this catastrophic problem. Originality/value This study is the first attempt to analyze the impact of international climate policy (Kyoto Protocol) on CO2 emission by incorporating a fixed dummy in the ARDL specifications.

Does female human capital contribute to economic growth in India?: an empirical investigation

2017 ◽  
Vol 44 (11) ◽  
pp. 1506-1521 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Physical Capital ◽  
Variance Decomposition ◽  
Content Type ◽  
Indian Economy ◽  
Education And Health ◽  
Long Run ◽  
Short Run ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of female human capital on economic growth in the Indian economy during 1970-2014. Design/methodology/approach The paper employs Ng-Perron unit root test to check the order of integration of the variables. The study also used ARDL-bounds testing approach and the unrestricted error-correction model to investigate co-integration in the long run and short run; Granger’s causality test to investigate the direction of the causality; and variance decomposition test to capture the influence of each variable on economic growth. Findings The study constructed a composite index for both male and female human capitals by taking education and health as a proxy for human capital. The empirical findings reveal that female human capital is significant and positively related to economic growth in both short run and long run, while male human capital is positive but insignificant to the economic growth; same is the case for physical capital, it implies that such investment regarding female human capital needs to be reinforced. Further, there is an evidence of a long-run causal relationship from female human capital, male human capital and physical capital to economic growth variable. The results of variance decomposition show the importance of the female human capital variable is increasing over the time and it exerts the largest influence in change in economic growth. Research limitations/implications The empirical findings suggest that the Indian economy has to pay attention equally on the development of female human capital for short-run as well as long-run growth of the economy. This implies that the policy makers should divert more expenditure for developing support for female education and health. Originality/value To the best of authors’ knowledge, this is the first attempt to study the relationship between female human capital and economic growth in the context of the Indian economy.

Foreign inflows and economic growth in Pakistan: some new insights

2020 ◽  
Vol 13 (3) ◽  
pp. 97-113
Author(s):  
Muhammad Tahir ◽  
Ahmad Ali Jan ◽  
Syed Quaid Ali Shah ◽  
Md Badrul Alam ◽  
Muhammad Asim Afridi ◽  
...  
Keyword(s):  
Economic Growth ◽  
Employment Level ◽  
Content Type ◽  
Significance Level ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
External Sources ◽  
The Impact

Purpose The purpose of this paper is to explore the contending role of important external inflows on the economic growth of Pakistan economy. The main purpose behind focusing on Pakistan is that it is receiving significant inflows from different international sources such as International Monetary Fund, World Bank and Asian Development Bank. Design/methodology/approach The study adopted the autoregressive distributed lag cointegration approach for the purpose of exploring the long-run cointegrating relationship among the variables. As Pakistan Government had been implementing some major liberalization policies during 1990s, data from 1976 to 2018 is used to estimate the specified models to reflect the impact of the surge of foreign inflows occurring from that time. In addition, error correction model is estimated for examining the short-run relationships. Findings The findings revealed the significant role played by different inflows in accelerating the economic growth. According to results, in the long run, all inflows, for example, Foreign direct investment (FDI), debt, official developdment assistance and remittances, have influenced significantly and positively the economic growth. The two control variables such as inflation and employment level included in the model have also played their expected role in the growth process. In the short run, some of the variables such as remittances, FDI and inflation rate have lost their significance level while for debt, aid and employment level, the signs of their coefficients become reversed. Practical implications Based on the findings, the study suggests the policymakers of Pakistan economy to liberalize the economy and attract more inflows from the external sources to accelerate economic growth. Originality/value To the best of the authors’ knowledge, this is the first comprehensive empirical study on the role of foreign inflows in the process of economic growth in the context of Pakistan economy.

Foreign aid and economic growth in sub-Saharan Africa

2019 ◽  
Vol 11 (1) ◽  
pp. 147-168 ◽  
Author(s):  
Nihar Ranjan Jena ◽  
Narayan Sethi
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Sub Saharan Africa ◽  
Cointegration Test ◽  
Modeling Framework ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Sub Saharan ◽  
The Impact

Purpose The purpose of this paper is to empirically examine the effectiveness of foreign aid in improving economic growth prospects in the sub-Saharan Africa (SSA) region from 1993 to 2017. Design/methodology/approach A sample of 45 SSA countries for the period 1993–2017 is considered for this study. The study uses various econometrics tools such as Pedroni and Kao’s cointegration test, Johansen-Fisher Panel cointegration test, FMOLS and PDOLS in order to ascertain the long-run and short-run dynamics among the variables under consideration. Findings The empirical results find that long-run and short-run relationships exist among foreign aid, economic growth, investment, financial deepening, price stability and trade openness of the SSA economies. The authors also find unidirectional causality running from foreign aid to economic growth. The policymakers in these countries are well-advised to implement suitable policy measures to build on the growth momentum created by foreign aid inflows. Originality/value The study uses a dynamic macroeconomic modeling framework to assess the impact of aid flows on economic growth in the SSA region. Taking into account the diversity of level of growth experienced by the 45 countries in the region, the study uses an appropriate regression technique, i.e., panel dynamic OLS whose results are robust. The finding is also supported by the Granger-causality test and robust cointegration techniques.

scholarly journals Re-examining the impact of financial intermediation on economic growth: evidence from Turkey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim Nandom Yakubu ◽  
Aziza Hashi Abokor ◽  
Iklim Gedik Balay
Keyword(s):  
Economic Growth ◽  
Financial Intermediation ◽  
Composite Index ◽  
Principal Component ◽  
Annual Data ◽  
Bounds Testing ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Impact

PurposeThis study seeks to investigate the impact of financial intermediation on economic growth in Turkey using annual data spanning 1970–2017.Design/methodology/approachBased on the results of the augmented Dickey–Fuller and Phillips–Perron unit root tests for stationarity, the authors employ the Autoregressive Distributed Lag (ARDL) bounds testing to cointegration to establish the long-run impact of financial intermediation alongside other control factors on economic growth. The study also examines the short-run relationship between financial intermediation and economic growth by estimating the Error Correction Model (ECM).FindingsThe authors’ findings indicate that financial intermediation significantly influences economic growth in both short and long run. However, the effect is positive only in the short run, lending support to the supply-leading hypothesis. Regarding the control variables, the authors observe that while financial openness shows a positive significant impact on economic growth in the long run, gross fixed capital formation matters only in the short run. The results further infer that regardless of the time period, inflation impedes economic growth.Originality/valueIn the empirical analysis of the relationship between financial intermediation and economic growth, financial intermediation is always measured using a single variable. The authors argue that such studies could produce bias and misleading results given that a single proxy does not adequately reflect financial intermediation activities. Likewise, such findings may delude policy implementation. To provide a more vivid and robust analysis, the authors employ the Principal Component Analysis (PCA) to construct a composite index for financial intermediation based on three broad measures. The researchers’ are unaware of any study on the financial intermediation–economic growth nexus using a composite index of financial intermediation. Thus, this paper fills this lacuna in the literature.

Finance-institution-growth trilogy: time-series insights from South Africa

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clement Olalekan Olaniyi ◽  
Adebayo Adedokun
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Positive Impact ◽  
Institutional Quality ◽  
Empirical Examination ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

PurposeThis study examines the moderating effect of institutional quality on the finance-growth nexus in South Africa from 1986 to 2015.Design/methodology/approachThis study adopts unit root tests, cointegration test and autoregressive distributed lag (ARDL) model.FindingsThe findings reveal that institutional quality constitutes a drain to the growth benefits of financial development (FD) in South Africa in the short-run while FD and institutional quality converge to enhance growth process of the country in the long-run. Also, the threshold of institutional quality beyond which institution stimulates strong positive impact of finance on growth is estimated to be 6.42 on a 10-point scale.Practical implicationsThis study, therefore, suggests that institutional quality matters in the way FD influences economic growth in South Africa. Hence, stakeholders are encouraged to trace and block lapses and loopholes in the institutional framework guiding financial system in South Africa so as to maximize growth benefits of FD.Originality/valueThis study contributes to the extant studies by introducing a country-specific analysis into the empirical examination of how institutional quality influences the impact of FD on economic growth. Also, this study deviates from other studies by determining the threshold of institutional quality beyond which FD stimulates strong positive effect on economic growth in South Africa

EMPIRICAL ANALYSIS OF THE EFFECTS OF FDI ON THE ECONOMIC GROWTH CASE OF THE REPUBLIC OF MACEDONIA

2018 ◽  
Vol 28 (1) ◽  
pp. 111-116
Author(s):  
Liza Alili Sulejmani
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Causal Relationship ◽  
Unit Root ◽  
Series Data ◽  
Republic Of Macedonia ◽  
Long Run ◽  
Short Run ◽  
The Republic ◽  
The Impact

The importance of FDI on the economic growth of a country is widely accepted fact among the scholars and policymakers, beside of the existing debate regarding the strength of its impact and the level of the development of a country.In this regard, the main objective of this paper is to empirically determine the effects of FDI on the Macedonian economy, through the co-integration and VECM methodology. In addition, this study analyzes the impact of FDI in the short-run and long-run period in the Republic of Macedonia, utilizing quarterly time series data for the period 1998 – 2017. Moreover, time series are tested for unit root by employing the Augmented Dickey Fuller test, demonstrating that variables contain unit root in their level, while are stationary in their first difference.Secondly, Granger causality test is used in order to investigate the causal relationship among FDI and real GDP growth rate in Republic of Macedonia for 1998q1-2017q2, by suggesting unidirectional causal relationship among these variables.Last but not least, this study investigates the existence of significant relationship between FDI and economic growth in the context of the Macedonian economy, in both long – run and short – run time period.

scholarly journals Pre-COVID-19 evaluation of external debt, corruption and economic growth in South Africa

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ebenezer Gbenga Olamide ◽  
Andrew Maredza
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Time Series ◽  
Time Series Data ◽  
External Debt ◽  
Public Institutions ◽  
Series Data ◽  
Content Type ◽  
Long Run ◽  
Short Run

PurposeThis study is a pre-COVID-19 exposition of the existing situation about external debt-GDP relationship, incorporating corruption into the hypothesis, making South Africa the object of the study. The aim is to examine the causal relationship between corruption, economic growth and external debt, and in the end proffer solutions to the problems arising therefrom.Design/methodology/approachThe study employed ARDL technique on time series data running from 1990 to 2019 with real gross domestic product as the dependent variable and external debt, external debt servicing, corruption, inflation and capital formation as regressors. Necessary tests that include unit root, cointegration, CUSUM and CUSUMSq, normality, serial correlation and heteroscedasticity were performed on the model.FindingsThe study shows that corruption, inflation and external debt servicing exert negative influences on economic growth while the effect of investment on growth was positive. External debt's effect in the short run was positive while its long-run effect on growth was negative. Among other things, the need to improve and strengthen public institutions in addition to targeting tax evaders and avoiders for increased government revenue were emphasized.Originality/valueThe study incorporates corruption into the country specific debt-GDP debate as against earlier studies that excluded corruption in their time series analysis or that were cross-country based. The authors also exposit the existing knowledge of the debt-GDP hypothesis before the outbreak of COVID 19 pandemic. This is expected to serve as a precursor to subsequent studies on the rising debt of South Africa during and after the pandemic.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

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