scholarly journals Trade Openness and Economic Growth in Nepal

2020 ◽  
Vol 3 (1) ◽  
pp. 1-20
Author(s):  
Surya Bahadur Rana

This study examines the impact of trade openness on economic growth in Nepal over the period 1975-2019. Using ARDL bounds testing approach to co integration in the multivariate framework, the study results reveal that there exists a long-run relationship between Nepal’s foreign trade and economic growth over the study period. The long-run estimates of ARDL models how that the level of trade openness in Nepal predicts the rate of economic growth of the country positively and significantly in the long-run. The study also reports the positive and significant long run effect of investment level on growth in Nepal over the study period supporting the trade induced investment growth hypothesis. It postulates that trade openness affects economic growth through the channel of investment. The growth enhancing role of trade openness implies that Nepal Government should promote international trade by eliminating trade barriers and making the procedures of foreign trade simple and convenient. Besides, Nepal’s import policy should promote investment environment particularly in capital intensive sectors to take the advantage of technology transfer from technologically advanced country. Furthermore, Nepal should pay proper attention and come up with effective human resource development policy that can uplift human knowledge and skills to make use of technologies from developed countries.

In recent years, economic transactions are carried out through electronic or online or cashless means all over the world especially in developed countries and developing countries like India. As a result of increased digital means of payment has brought down usage of cash transactions in the economy. Digital transactions have the features of speed, less cost, and comfort. A well functioning digital payment system has much relevance on overall economic activity, monetary policy, and financial stability of a country. This study tries to verify the impact of digital payments on the economic growth of India. The economic growth is measured through a proxy – real Gross Domestic Product. Digital payments are measured using Real Time Gross Settlement (RTGS), Clearing Corporation of India Ltd (CCIL) operated systems, paper clearing, retail electronic clearing, Card payments, and Prepaid Payment Instruments (PPIs). Data for digital payments and real GDP are collected from the year 2011 to 2019. Ordinary Least Square Regression, Auto-Regressive Distributed Lag (ADRL) co-integration approach and ARDL Bounds test are employed for the analysis. The study results reveal that digital payments impact economic growth significantly in the short run. But, digital payments don’t impact economic growth in the long-run.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

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.


Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.


2020 ◽  
Vol 12 (7) ◽  
pp. 2930 ◽  
Author(s):  
Rabail Amna Intisar ◽  
Muhammad Rizwan Yaseen ◽  
Rakhshanda Kousar ◽  
Muhammad Usman ◽  
Muhammad Sohail Amjad Makhdum

The aim of this study is to analyze the impact of trade openness and human capital on economic growth in 19 Asian countries from 1985 to 2017. We selected two geographically distributed regions (Western and Southern Asia) based on difference in their GDP per capita. We applied the unit root tests to examine the level of stationarity and found that all variables were integrated at first difference. Kao and Fisher cointegration tests were employed and the results revealed the presence of a long-run relationship. We applied fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models to check the magnitude of the long-run coefficients among trade openness, human capital and economic growth. To investigate the direction of causality, we used a Dumitrescu and Hurlin (DH) causality test. The results indicated that trade openness and human capital have a significant and positive relationship while labor force participation has a negative effect on economic growth in Southern Asia, and in the case of Western Asia, the impact is positive. Foreign direct investment (FDI) has a negative and significant impact on GDP per capita (GDPPC) in Western Asia while it is positive and significant in Southern Asia; Total population (TPOP) has a negative impact on GDPPC in both regions. Furthermore, human capital has a positive and significant impact on trade openness in both panels. Meanwhile, labor force participation (LFP) has a positive and significant impact on trade openness in Southern Asia and a negative impact in the case of Western Asia. Trade openness and economic growth have bidirectional causality in Western Asia and unidirectional causality in Southern Asia. It also shows that human capital and economic growth have unidirectional causality in both regions.


2020 ◽  
Vol 55 (2) ◽  
pp. 239-247 ◽  
Author(s):  
Gerald C. Nwadike ◽  
Ani Kelechi Johnmary ◽  
Chukwuma Samuel Alamba

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


2019 ◽  
Vol 20 (2) ◽  
pp. 205-223
Author(s):  
Nassir Ul Haq Wani

The notion that the international trade is the foundation of economic growth dates long back, and even now, an irresistible body of literature confirms a strong and positive link between trade openness and economic growth. However, most of these studies are focused on developed countries. Indeed literature from developing countries are scant, those from under developed and a landlocked country like Afghanistan are almost non-existent. This article endeavours to innovatively scrutinize the relationship between trade liberalization and economic growth in Afghanistan, using biannual data for the period 1995–2016 and thus evaluates the comparative effect of three different measures of trade openness on the economic growth by using more rigorous econometric techniques. Autoregressive distributed lag (ARDL) method, JJ CO-integration and ordinary least square (OLS) results suggest significant positive long-run relationship between export and economic growth. In contrast, total volume of trade and imports have significant negative effect on the economic growth. The addition of variables and results of fully modified OLS suggest that the results are robust. The Granger causality and variance decomposition analysis indicate the unidirectional causality between trade openness and economic growth. In export model, causality runs from export to growth. Whereas, in the model with total volume of trade and import, causality runs from growth to total volume of trade and imports in Afghanistan. From the findings, it is concluded that the policymakers should focus on export promotion strategy to enhance the economic growth in Afghanistan. Besides, efficient utilization of capital goods should be ensured and reliance on non-capital goods should be less in order to ensure high domestic production in the country. JEL: F10, F43, C22


2014 ◽  
Vol 16 (1) ◽  
pp. 188-205 ◽  
Author(s):  
Qazi Muhammad Adnan Hye ◽  
Wee-Yeap Lau

The main objective of this study is to develop first time trade openness index and use this index to examine the link between trade openness and economic growth in case of India. This study employs a new endogenous growth model for theoretical support, auto-regressive distributive lag model and rolling window regression method in order to determine long run and short run association between trade openness and economic growth. Further granger causality test is used to determine the long run and short run causal direction. The results reveal that human capital and physical capital are positively related to economic growth in the long run. On the other hand, trade openness index negatively impacts on economic growth in the long run. The new evidence is provided by the rolling window regression results i.e. the impact of trade openness index on economic growth is not stable throughout the sample. In the short run trade openness index is positively related to economic growth. The result of granger causality test confirms the validity of trade openness-led growth and human capital-led growth hypothesis in the short run and long run.


2011 ◽  
Vol 2 (2) ◽  
pp. 81-88
Author(s):  
Ahmad Jafari Samimi ◽  
Ramezan Hosseinzadeh .

Thirlwall’s law establishes a relation between the long-run growth rate, the growth of exports and the long-run income elasticity of imports. This paper applies Thirlwall’s basic balance-of-payments constraint growth model to Iranian economic growth for the period of 1971-2007 by using Autoregressive Distributed Lag (ARDL) Bounds Testing approach. The empirical results reveal that import is cointegrated with relative price and income, and the equilibrium growth rates coincide with actual growth rates. However, our estimated findings reveal that the Thirlwall’s law has been rejected in Iran. In other words, balance of payment doesn’t hinder economic growth in this country. The reason may be due to the fact that Iran is a member of OPEC and its oil export plays a significance role in the country’s foreign trade.


2018 ◽  
Vol 1 (1) ◽  
pp. 39-49
Author(s):  
Fatima Saleem ◽  
Fatima Farooq ◽  
Imran Sharif Chaudhry ◽  
Noreen Safdar

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.


2019 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Md. Mahmudul Alam ◽  
Gazi Salah Uddin ◽  
Loganathan Nanthakumar

The aim of this paper utilizes an energy demand model to investigate the impact of trade openness on energy consumption by incorporating scale and technique, composition and urbanization effects in the case of Malaysia. The study covers the sample period of 1970-2011 using quarter frequency data. We applied the bounds testing approach in the presence of structural breaks to examine the long run relationship between the variables. The VECM Granger causality is used to detect the direction of causality between the variables. Our findings indicate that growth effect (scale and technique effect) has a positive (negative) impact on energy consumption whereas composition effect stimulates energy demand in Malaysia.. Energy consumption is positively influenced by both from openness and urbanization. This study opens new policy insights for policy making authorities to articulate a comprehensive energy and trade policy to sustain economic growth and improve the environmental quality of Malaysia.


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