Economic Growth and Macro Variables in India: An Empirical Study

2015 ◽  
pp. 42-59
Author(s):  
Saba Ismail ◽  
Shahid Ahmed

The research objective of this paper is to explore the empirical linkages between economic growth and foreign direct investment (FDI), gross fixed capital formation (GFCF) and trade openness in India (TOP) over the period 1980 to 2013. The study reveals a positive relationship between economic growth and FDI, GFCF and TOP. This study establishes a strong unidirectional causal flow from changes in FDI, trade openness and capital formation to the economic growth rates of India. The impulse response function traces the positive influence of these macro variables on the GDP growth rates of India. The study also reveals that the volatility of GDP growth rates in India is mainly attributed to the variation in the level of GFCF and FDI. The study concludes that the FDI inflows and the size of capital formation are the main determinants of economic growth. In view of this, it is expected that the government of India should provide more policy focus on promoting FDI inflows and domestic capital formations to increase its economic growth in the long-term.

2021 ◽  
Author(s):  
Richard Sendi ◽  
John Bbale Mayanja ◽  
Enock Nyorekwa

This paper investigated the determinants of economic growth in Uganda for the period 1982–2015 using the autoregressive distributed lag (ARDL) mode. The paper was motivated by the impressive economic performance of Uganda since 1986 that made her graduate from a “failed state” to a “mature reformer” in a short time. The paper established that while the initial level of GDP growth, government consumption and investment positively affected Uganda’s economic growth in the short run, inflation, foreign aid and a policy dummy variable representing structural adjustment programmes negatively impacted GDP growth. The results revealed that in the long run, trade openness, population growth, government consumption and investment positively influenced GDP growth in Uganda. The results failed to show a significant relationship between trade openness, population growth and human capital accumulation and economic growth in the short run. The study also failed to show a significant relationship between inflation, human capital and foreign aid and economic growth in the long run. The paper recommends policies that enhances sound macroeconomic fundamentals such as price stability, investment promotion, trade openness, increased government consumption, increased population growth and effective foreign aid.


The present study attempted to examine the recent effects of FDI on India's economic growth in the Make in India initiative (MII) launched by the government. The trends of FDI inflows in India showed that when the CAGR of FDI inflows was -2.78 percent from 2008 to 2014 (pre-Make in India), the CAGR of FDI inflows was 8.54 percent between 2014 to 2020 (Post-Make in India). Further, the OLS results showed that the variables such as FDI inflows, trade openness, and exchange rate significantly impact India's economic growth. The dummy variable that stood for the Make in India initiative had a statistically significant impact on growth. The predictions about FDI inflows showed an upward trajectory since 2021-2022, which suggested that India may have further scope to attract more FDI into the country if they continue to do reforms like before and enhance competitiveness, and FDI may have a long-term impact on GDP.


2020 ◽  
Vol 7 (54) ◽  
pp. 205-217
Author(s):  
Mnaku Honest Maganya

AbstractTanzania, like most other developing countries, faces numerous economic challenges in striving to achieve sustainable economic growth and development through taxation. In the literature, the debate on how effective taxes are as a tool for promoting economic growth and economic development remains inconclusive, as various research have reported mixed effects of tax on economic growth. This article investigates the effect of taxation on economic growth in Tanzania using the recently developed technique of autoregressive distributed lag model (ARDL) bounds testing procedure for the period from 1996 to 2019. Various preliminary tests were conducted including stationary tests as well as the pair-wise Granger causality test. According to the results obtained, domestic goods and services (TGS) taxes are positively related to GDP growth and are statistically significant at 1% level. Income taxes, on the other hand, were found to be negatively related to GDP growth and to be statistically significant at 5% level. The pair-wise Granger causality results indicated that there is bidirectional Granger causality between TGS and GDP growth at 1 % significance level. The government should aim at growing, nurturing and sustaining tax base to positively drive economic growth even further.


Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 890
Author(s):  
Jakub Bartak ◽  
Łukasz Jabłoński ◽  
Agnieszka Jastrzębska

In this paper, we study economic growth and its volatility from an episodic perspective. We first demonstrate the ability of the genetic algorithm to detect shifts in the volatility and levels of a given time series. Having shown that it works well, we then use it to detect structural breaks that segment the GDP per capita time series into episodes characterized by different means and volatility of growth rates. We further investigate whether a volatile economy is likely to grow more slowly and analyze the determinants of high/low growth with high/low volatility patterns. The main results indicate a negative relationship between volatility and growth. Moreover, the results suggest that international trade simultaneously promotes growth and increases volatility, human capital promotes growth and stability, and financial development reduces volatility and negatively correlates with growth.


2021 ◽  
Vol 7 (2) ◽  
pp. 263-272
Author(s):  
Sulaman Hafeez Siddiqui ◽  
Sohail Saeed ◽  
Areeba Khan ◽  
Hina Bhatti

Purpose: The benefits of Information and Communication Technologies (ICTs) in environmental resource management has been a topic of hot discussion for the policymakers across the world.  For the purpose, the government of Pakistan took initiative in 2018 to use technology for the country’s social welfare, financial benefits and to enhance environmental sustainability and named it as “Digital Pakistan Initiative”.Design/Methodology/Approach: For analysis, this study took CO2 emissions as the dependent variable and ICT, FDI inflows, and Trade Openness as independent variables. Data were collected on bimonthly basis from 2004 through 2019, and analyzed employing ARDL approach. Main purpose of the study was to examine the short-run and long-run relationship among carbon emissions and ICT, FDI Inflows and Trade Openness.Findings: The findings show that there exists a short-run relationship among all the variables; however, FDI inflows and trade openness have a significant relationship with CO2 emissions. The results also exhibit that there is no long-run relationship between CO2 emissions, FDI inflows, and Trade openness while ICT has an insignificant long-run relationship with CO2 emissions. With the increase of information and communication, the country’s environmental sustainability is also increased. Implications/Originality/Value: The current study was based on least considered variables and the pioneer in testing the complex relationship through VAR estimation.


2020 ◽  
Vol 1 (1) ◽  
pp. 50-54
Author(s):  
Kostiantyn Shaposhnykov ◽  
Yuriy Pavelko

The purpose of this work is to study the development of the national economy in recent years taking into account the environmental component. It is proved that providing conditions for long-term economic growth is the primary task of macroeconomy of any country. Unstable development of the national economy in recent decades accompanied by prolonged crises, as well as a slow path of reforming all spheres of life on the way to building a democratic society with a developed market economy cause constant attention of domestic scientists to this direction. Methodology. The results of environmental protection measures are classified, based on the practical use of modern economic and mathematical methods and models. Results. It is proved that when using these methods, the results of law enforcement measures can be divided into the following groups: in the conditions of positive rates of economic development, the volumes of atmospheric emissions of pollutants and carbon dioxide had a negative dynamics. This scenario of environmental and economic efficiency is the most desirable; positive growth rates of fresh water use are inferior to GDP growth rates, the rates of waste generation and water abstraction exceed the dynamics of GDP growth. This scenario is the least acceptable, as not only environmental damage is increasing in absolute terms, but environmental performance is also deteriorating. Practical implications. The period of 2015–2018 was chosen for research as it was characterized by the resumption of gradual economic growth in most sectors of the economy after the deep crisis of 2014. The available data of the State Statistics Service of Ukraine for 2019 has not currently contained complete information on volumes anthropogenic impact. The leaders of regional development in terms of GRP growth in 2015–2018 were Volyn (+ 5.72%), Kyiv (+ 5.66%) and Zhytomyr (+ 5.00%) regions. In contrast, the most depressed regions with negative economic growth rates were Donetsk (-1.86%), Luhansk (-0.84%) and Poltava (-0.51%) regions. In the latter region, the rate of population decline exceeded the increase in labor productivity, resulting in a decrease in performance. Value/originality of the work is the analysis of trends in the national economy taking into account the environmental component, which in contrast to the existing comes from modern experience of practical use of economic and mathematical methods, which allows to develop recommendations based on quantitative estimates.


2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.


Author(s):  
Tania Megasari ◽  
Samsubar Saleh

This study aims to analyze the determinants of foreign direct investment (FDI) in the Organization of Islamic Cooperation (OIC) country members for the period 2005 to 2018 The determinant variables of FDI are corruption, political stability and macroeconomic variables such as inflation, exchange rates, economic growth, and trade openness. Analysis used in the study  is the fixed effect model (FEM) of the OIC data panel.The results showed that economic growth and trade openness had a significant influence on foreign direct investment (FDI), while the effects of corruption, political stability, inflation and the exchange rate have no significant effect on foreign direct investment (FDI).


Author(s):  
Khairunisah Kamsin ◽  
James Alin ◽  
Mori Kogid

This paper examines the role of foreign direct investment (FDI) and capital formation as mechanisms of trade openness for economic growth in Malaysia. This study found that foreign direct investment and capital formation are indicators of trade openness. Thus, this study proposes that policymakers should develop policies so that Malaysia could gain more benefits from trade openness and subsequently, accelerate the country’s economic growth.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.


Sign in / Sign up

Export Citation Format

Share Document