The relationship between international trade openness and economic growth in the developing economies

2015 ◽  
Vol 8 (2) ◽  
pp. 123-139 ◽  
Author(s):  
Muhammad Tahir ◽  
Toseef Azid
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Developing Economies ◽  
Labour Force ◽  
Trade Openness ◽  
Content Type ◽  
Long Run ◽  
Speed Up ◽  
Determinants Of Economic Growth ◽  
The Relationship

Purpose – This paper aims to establish a relationship between trade openness and economic growth in the context of the developing countries. This study has proposed a new measure of trade openness to the literature, as the available measures are flawed. Design/methodology/approach – Empirical analyses are carried out with the help of panel econometric techniques. Findings – The main finding of the paper is that the relationship between trade openness and economic growth is positive and statistically significant for developing countries. Besides trade openness, other determinants of economic growth such as investment and labour force are also significantly related with economic growth and carry expected coefficients. Further, it is found that frequent fluctuations in prices are detrimental to long-run economic growth. Practical implications – Therefore, the developing countries are suggested to speed up the process of trade liberalization and also pay favourable attention to other determinants of economic growth to achieve high economic growth. Originality/value – The authors have used a new measure of trade openness apart from the conventional trade volume measure of trade openness.

Trade openness and economic growth in the Asian region

2014 ◽  
Vol 7 (3) ◽  
pp. 136-152 ◽  
Author(s):  
Muhammad Tahir ◽  
Imran Khan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Least Squares Method ◽  
Trade Openness ◽  
Domestic Investment ◽  
Content Type ◽  
Asian Region ◽  
Long Run ◽  
The Impact ◽  
Determinants Of Economic Growth

Purpose – This paper aims to focus on the Asian developing countries to examine the impact of trade openness on economic growth. Design/methodology/approach – Empirical analysis is carried out with the help of panel econometric techniques and two-stages least squares method. Findings – The results show that trade openness has contributed significantly to the growth process of the developing countries located in the Asian region. It is also found that domestic investment has influenced economic growth for the sampled countries. Further, the results show that human capital has adversely affected economic growth despite the fact that different proxy variables are used. Research limitations/implications – No positive relationship between education and economic growth could be established despite using different measures of education. However, this issue has been brought to the attention of researchers for further investigation. Practical implications – Developing countries located in the Asian region, therefore, are suggested to speed up the process of trade liberalization and also pay favourable attention to other determinants of economic growth to accelerate long-run economic growth. Originality/value – The results presented in the paper are original. Some insights about the impact of education on economic growth have been highlighted.

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.

Economic growth, inequality and trade in developing countries

2016 ◽  
Vol 15 (3) ◽  
pp. 240-253 ◽  
Author(s):  
Muhammad Tariq Majeed
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Open Economy ◽  
Developing Economies ◽  
Negative Relationship ◽  
Growth Effect ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Short Run

Purpose The purpose of this study is to analytically explore and empirically test the relationships between economic growth, inequality and trade using a panel data set of 65 developing economies from 1965 to 2010. Design/methodology/approach This study sets a theoretical framework to explain the growth-trade nexus differentials in the developing economies. The study uses different econometric methods such as General Method of Moments to address the relationship of trade with growth in the presence of high inequalities. Findings The study determines the positive effect of trade on growth both in the short-run and in the long-run. However, the growth effect of trade is substantially influenced by the domestic context in terms of the prevalence of high initial inequalities. The study identifies high initial inequalities in developing countries as the likely reason for a negative relationship between trade and economic growth. The trade-growth nexus is significantly negative for the unequal group but strongly significantly positive for the less unequal one. Practical implications Those developing economic which mange to ameliorate inequalities are in a better position to compete in an open economy. Originality/value The study contributes in the existing literature by answering the question why growth effects of trade are not definitely positive or negative. The findings of the studies may help the policy-makers of developing economies to take the advantage of increasing international trade.

scholarly journals Urban population and economic growth: South Asia perspective

2016 ◽  
Vol 5 (1) ◽  
pp. 64 ◽  
Author(s):  
Sandip Sarker ◽  
Arifuzzaman Khan ◽  
Mehdad Mamur Mannan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
South Asia ◽  
Urban Population ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Unit Root Test ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Determinants Of Economic Growth

Previously economic growth was generally discussed in terms of foreign direct investment (FDI), educational growth, savings, investments, inflation as well as trade openness of a nation. Very recently it has been identified that population is one of the major determinants of economic growth of a nation. In the recent years, the study of urbanization has gained a matter of concern in developing countries as it has been recognized as part of a larger process of economic development which is affecting developing countries. South Asian countries are one of the emerging economics and growing at a faster rate over the past few years. At the same time, population of South Asia is growing at a significant rate. Therefore the study has attempted to identify the causal relationship between urban population and economic growth in South Asia using a panel data analysis. The study makes use of the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP), Pesaran as well as Fisher methods for panel unit root test. The panel Pedroni cointegration test suggests that there is long run relationship between the variables. The further panel Vector Error Correction Model (VECM) suggests that there is long run causality running from urban population growth to economic growth in South Asia. The study concludes that the growth of urban population can have significant impact on economic growth in South Asia in the long run.

scholarly journals Analysis of the causal effects of imports and foreign direct investments on indigenous innovation in developing countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin Azembila Asunka ◽  
Zhiqiang Ma ◽  
Mingxing Li ◽  
Nelson Amowine ◽  
Oswin Aganda Anaba ◽  
...  
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Developing Economies ◽  
Causal Effects ◽  
Foreign Direct Investments ◽  
Content Type ◽  
Long Run ◽  
Indigenous Innovation ◽  
Short Run ◽  
Innovation Output

PurposeThe purpose of this study is to analyze the performance of indigenous innovation in developing countries in the era of trade liberalization. It analyzes indigenous innovation from research and development (R&D) investments to innovation output and its effect on economic growth.Design/methodology/approachThe sample for this study includes 20 middle-income countries across five continents for the period between 1994 and 2018. The study employs the Crepon Duguet and Mairessec CDM model in a panel data setting to do a multistage analysis of the innovation process. A vector error correction model VECM is employed to test for Granger causality between the variables investigated.FindingsThe results show that imports and foreign direct investments (FDI) have generally have short-run and long-run causal effects on domestic R&D investments. In regions where imports and FDI do not have individual causal effects on innovation output, a joint increase in each of them and R&D have both short-run and long-run causal effects. Indigenous innovation is a significant contributor to economic growth when a country can produce and export novel products.Research limitations/implicationsThe sample is only limited to developing economies, and due to the unavailability of data, only 20 countries were captured.Practical implicationsImported products and FDI are critical to the innovation drive when such activities are targeted at enhancing indigenous innovation from R&D to the production of new products. Hence, policy formulation should encourage the absorption of foreign technologies that serve as inputs to indigenous innovation.Originality/valueThis paper focuses specifically on indigenous innovation and analyses the influence of foreign technologies in this effort. It tests the moderating roles of imports and FDI in the relationship between R&D and innovation output, concluding that both variables enhance the effect of R&D on innovation output.

Bank concentration, institutional quality, and economic growth

2016 ◽  
Vol 26 (2) ◽  
pp. 219-231 ◽  
Author(s):  
Bana Abuzayed ◽  
Nedal Al-Fayoumi
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Market Power ◽  
Developing Economies ◽  
Institutional Quality ◽  
Institutional Setting ◽  
Content Type ◽  
Mena Countries ◽  
Banking Concentration ◽  
The Relationship

Purpose This study aims to examine the influence of institutional quality on the relationship between economic growth and banking sector concentration. Design/methodology/approach The sample of our study covers 15 Middle East and North African (MENA) countries over the period 1996-2010. The results are estimated based on static and dynamic panel data analysis. Findings The results reveal a positive and significant relationship between economic growth and each banking concentration and institutional quality. The results support the argument that banking concentration and institutional quality are matters for growth in MENA countries. The results also indicate that the interaction variable between concentration and institutional quality is negative and significant. Research limitations/implications Building on Petersen and Rajans’ (1995) argument, this study suggests that in the absence of an appropriate level of institutional quality, banks in MENA region can depend on their market power to protect their benefits. This can be achieved by building long-term relationships with their borrowers to provide continuing credit and subsequently enhancing economic growth. Practical implications Under the low level of institutional quality in MENA countries, regulators and decision-makers should thoroughly think before imposing any policy that aims to restrict banking market power because such action could harm the economy. Social implications In developing countries, banking concentration may have a positive impact on the economy. This outcome may lead to an improvement in the standard of living for the society. Originality/value This is the first known study, to the best of our knowledge, that examines the role of institutional quality in shaping the relationship between economic growth and banking concentration in MENA countries. The authors opted to select MENA countries’ data because they generally reflect an institutional setting similar to many developing countries. Therefore, the results could be applicable in many developing economies and will encourage other researchers to investigate this proposition.

scholarly journals The impact of economic growth, trade openness and manufacturing on CO2 emissions in India: an autoregressive distributive lag (ARDL) bounds test approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaswanth Karedla ◽  
Rohit Mishra ◽  
Nikunj Patel
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Trade Openness ◽  
The Body ◽  
Content Type ◽  
Body Of Knowledge ◽  
Long Run ◽  
Bounds Test ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this study is to examine the impact of economic growth, trade openness and manufacturing on CO2 emissions in India.Design/methodology/approachThe study employed autoregressive distributive lag (ARDL) bounds test approach and uses CO2 emissions, trade, manufacturing and GDP per capita to examine the relationship using an annual time series data from World Development Indicators during 1971 to 2016.FindingsResults depict that there exists a long-run relationship between CO2 emissions and other variables. Trade openness significantly reduces CO2 emissions, whereas manufacturing and GDP have a significant and positive impact on CO2 in the long run.Research limitations/implicationsThe findings of the study contribute to the body of knowledge by providing new evidence on the relationship between developmental metrics and the environment. These findings are critical for policymakers and regulatory bodies to focus on economic development without jeopardizing environmental degradation.Practical implicationsIn order to keep its commitment to sustainability, India needs to develop policies that encourage cleaner production methods and establishment of non-polluting industries. Simultaneously, it must disincentivize industries that emit CO2 by policy frameworks such as carbon taxes, pollution taxes or green taxes.Originality/valueNone of studies examine at how these environmental factors interact in India. Kilavuz and Dogan (2020) used the same variables, but their scope was limited to Turkey. As a result, the study is the first to examine this relationship for India, contributing to the body of knowledge on economic growth, manufacturing, trade openness and environmental concerns.

Dynamics between trade openness, FDI and economic growth: evidence from an emerging economy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bijoy Rakshit
Keyword(s):  
Economic Growth ◽  
Structural Breaks ◽  
Negative Impact ◽  
Labour Force ◽  
Trade Openness ◽  
Empirical Literature ◽  
Data Series ◽  
Causality Analysis ◽  
Content Type ◽  
Long Run

Purpose This paper aims to examine the dynamics between trade openness, foreign direct investment (FDI) and economic growth in India over the period 1979 to 2017. This study further considers the role of pre and post-economic reforms in the analysis of these dynamics. Design/methodology/approach The authors apply the autoregressive distributed lag model to investigate the possible long-run associations among the variables. Zivot-Andrew unit root test was applied to detect the structural breaks present in the data series. Toda-Yamamoto causality approach has been applied to examine the direction of causality among the variables. Findings Findings show that trade openness exerts a negative impact on economic growth in the long-run. Although FDI inflow promotes economic growth in the long-run, FDI inflow does not seem to affect growth in the short-run. As far as causality analysis is concerned, findings confirm a unidirectional causality is flowing from FDI inflow and labour force to per capita gross domestic product growth in India. Practical implications The negative impact of trade openness on growth suggests that policymakers should implement more export-oriented policies to boost economic growth in the long-run. The ratio of exports to the total volume of trade has not increased satisfactorily over the years. Additionally, appropriate policies should aim at extracting the benefits of FDI inflow in the long-run. Originality/value Although several theoretical and empirical literature has investigated the nexus between FDI (or trade) and growth, this study, as a fresh attempt, investigates the long-run dynamics between trade openness, FDI, capital formation, labour force and economic growth in India.

Insurance effect on economic growth – among economies in various phases of development

2017 ◽  
Vol 27 (4) ◽  
pp. 501-519 ◽  
Author(s):  
Sajid Mohy ul din ◽  
Angappan Regupathi ◽  
Arpah Abu-Bakar
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Life Insurance ◽  
Significant Relationship ◽  
Content Type ◽  
Long Run ◽  
The Usa ◽  
Emerging And Developing Countries ◽  
The Uk ◽  
The Relationship

Purpose The purpose of this paper is to explore the relationship between insurance and economic growth for six (developed, emerging and developing) countries over the period of 1980 to 2015. Design/methodology/approach The study applies panel auto-regressive distributed lagged (PMG/ARDL) method to examine long-term and short-term relationship between insurance and economic growth for the USA, the UK, China, India, Malaysia and Pakistan. Findings The authors concluded that there exists a positive and significant relationship between life insurance, non-life insurance, trade openness, stock-market development and economic growth in the long run as p-value is less than 5 per cent. This study also found a significant relationship between employment rate, banking development and economic growth for the long run but the direction is negative. Foreign direct investment shows an insignificant relationship with economic growth in the long run. The results highlighted a significant and positive relationship between non-life insurance and economic growth in the short-run for the USA, the UK, China, India, Malaysia and Pakistan. Moreover, the relationship between life insurance and economic growth is positive and significant for India, Pakistan and the UK. Results reveal a significant but a negative relationship between life insurance and economic growth for the USA, China and Malaysia. Research limitations/implications Analysis is performed for only six countries and results of these six might not represent the whole world. Practical implications This research would help policymaker to consider wider aspects of insurance rather than considering it complementary service industry. Social implications Every individual, today, spends a huge amount of funds to purchase insurance. He or she should be aware of the wider social impact of their spending apart from risk transferring. Originality/value Researchers recently shifted their focus to investigate the relationship between insurance and economic growth but the topic is still lacking sufficient literature and various knowledge gaps. The study is an attempt to contribute in terms of refinement of the already existing body of knowledge and to fill literature gap. In addition, apart from the insurance–economy relationship, very few empirical studies used financial, banking and stock market along with insurance, proxies to measure accurate insurance contribution. Another element of originality lies in the comparative analysis of developed, emerging and developing countries.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

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.

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