scholarly journals Trade Liberalisation and Economic Growth in Macedonia

2016 ◽  
Vol 11 (2) ◽  
pp. 48-60 ◽  
Author(s):  
Viktorija Mano-Bakalinov

Abstract The objective of this paper is to explore the effects of trade on Macedonian economic growth. The autoregressive distributed lag (ARDL) model is applied on yearly data over the period of 1993-2014. Empirical investigation reveals that an increase of population and openness demonstrate a positive and significant effect on Macedonian economic growth. Given other diverging findings, this suggests that the relationship between trade reforms and growth through the productivity function may vary across transition economies. Nevertheless, the findings of this paper indicate that policies focusing on market liberalisation and opening the economy to trade have a positive effect on Macedonian economic growth, both in the short run and the long run.

2021 ◽  
Vol 14 (27) ◽  
pp. 63-75
Author(s):  
Okpeku Lilian ONOSE ◽  
◽  
Osman Nuri ARAS ◽  

The export-led growth hypothesis states a positive relationship between the growth of exports and long-run economic growth. This study examines the validity of the export-led growth hypothesis of services exports in 5 emerging economies, including Brazil, India, Nigeria, China, and South Africa (BINCS), for the period of 1980-2019. The study employs the panel mean group autoregressive distributed lag (ARDL) procedure to identify a causal relationship between services exports and gross domestic product (GDP) per capita. The findings show that the export-led growth hypothesis in services only has a positive effect on economic growth in the short run while other variables, including foreign direct investment (FDI), gross capital formation, and labour, increase economic growth in the long run. Hence, the emerging countries should focus more on internal investment to boost growth in the long and short run.


2018 ◽  
Vol 11 (2) ◽  
pp. 49-64
Author(s):  
Abdul Mansoor ◽  
Quratulain Shoukat ◽  
Shagufta Bibi ◽  
Khushbakht Iqbal ◽  
Romana Saeed ◽  
...  

AbstractThe objective of the study is to examine the relationship between money supply, price level and economic growth in the context of Pakistan by using Autoregressive Distributed Lag (ARDL) model, covered a period of 1980 to 2016. The results confirm the long-run relationship between the variables while using broad money supply as a response variable. However, in the price and income modeling, the variables do not support the cointegration relationship between the variables. The causality results confirmed the unidirectional relationship running from income to money supply, which implies that income do causes money supply in the short run, whereas money supply leads to inflation to support Monetarist view of inflation in a country. The results conclude that economic growth is imperative to stabilize money supply and price level through sound economic policies in a country.


2020 ◽  
Vol 70 (2) ◽  
pp. 215-227
Author(s):  
Konstantinos Spinthiropoulos ◽  
Christos Nikas ◽  
Eleni Zafeiriou

AbstractThe purpose of the study is to examine the relationship between tourism development and economic growth in Greece, using the Autoregressive Distributed Lag (ARDL)-Bounds testing procedure. The present paper attempts to examine the relevance of the tourism led growth hypothesis according to the Kaldorian theory. The analysis was carried out for the period from 1963 to 2016 and involves the short-run as well as the log-run impact. As a proxy for the output of the tourism sector, its receipts are employed, while as an index for economic growth, the GDP is employed. The empirical results show that the economy of Greece can recover and return to the long-run equilibrium with a speed of adjustment 7.17% per year.


Economies ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 35 ◽  
Author(s):  
E. M. Ekanayake ◽  
Carlos Moslares

In this study, we explore the hypotheses that (a) workers’ remittances enhance economic growth in Latin American countries, and (b) workers’ remittances help reduce poverty in Latin American countries. In recent decades, workers’ remittances have become an important source of income for many developing countries and, as a global aggregate, workers’ remittances are the largest source of foreign financing after foreign direct investment. This paper analyzes the effects of workers’ remittances on economic growth and poverty in 21 Latin American countries. The study uses annual data covering all Latin American countries for the period 1980–2018. We employ panel least squares and panel fully-modified least squares (FMOLS) methods. In addition, we estimate the short-run and long-run effects of workers’ remittances on economic growth and poverty on individual countries with the Autoregressive Distributed Lag (ARDL-ECM) approach to co-integration analysis. The results reveal that workers’ remittances have a positive effect on long-run economic growth in the majority of the countries studied, but have mixed effects in the short-run. They also suggest that workers’ remittances tend to lower poverty rates in Latin America.


2021 ◽  
pp. 0958305X2110453
Author(s):  
Pengfei Sheng ◽  
Haohao Wei ◽  
Chunjie Lou

Few studies addressed the relationship between the energy efficiency cycle and the export-oriented economic growth style, and our work aimed to contribute this research in the literature using China's dataset during 1985–2018. Results of the autoregressive-distributed-lag model there were two cycles in China's energy efficiency, and the first ranged from 1989 to 2002 while the second was over the period 2003–2012. Meanwhile, the estimations suggested that a 1% export increase was linked to a 0.107% increase in energy efficiency in the long run. However, the export was significantly and negatively associated with the short-run fluctuation of energy efficiency. As a result, the statistical simulation confirmed that export would raise the fluctuation range of energy efficiency.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 


2019 ◽  
Vol 22 (1) ◽  
pp. 103-122
Author(s):  
Badri Narayan Rath ◽  
Danny Hermawan

This paper investigates, using annual data from 1980 to 2014, whether adoption of information and communication technologies (ICT) fosters economic growth in Indonesia. We employ an Autoregressive Distributed Lag cointegration technique on an augmented neoclassical growth model. The empirical results indicate a positive effect of ICT development on economic growth in both the long-run and short-run. The other regressors, such as total factor productivity, human capital, and capital per worker, also positively affect economic growth. From a policy perspective, the Indonesian government should promote ICT development through greater investment.


2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.


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