Search results

The purpose of this paper is to shed light on the age-old trade-and-economic-growth controversy. The authors do so by utilizing the data relating to the G-20 countries between 1988 and 2013.

The authors seek to establish the formal statistical links between openness to trade and economic growth in the context of interactions with financial depth, gross capital formation, and foreign direct investment. The authors use a panel vector autoregressive model to obtain the estimates. The authors check for the robustness of the results.

The authors find that all the variables are cointegrated. That is, there is a long-run equilibrium relationship between the variables. Moreover, trade openness, financial depth, gross capital formation, and foreign direct investment are all causative factors for the economic growth of the G-20 countries in the long run. At the same time, the short-run results demonstrate that there is a myriad of causal links between these variables.

The decision makers in the G-20 countries wishing to encourage economic growth in the long run should pay close attention to trade openness, financial depth, gross capital formation, and foreign direct investment inflows to their countries.

The authors study an important group of countries over a long span of time, using advanced panel data techniques. The results demonstrate that future studies on economic growth that do not simultaneously consider trade openness, financial depth, foreign direct investment, and gross capital formation will offer biased or misguided results.

This study aims to establish the position of the European Union (EU-28) countries in the dynamics of international trade openness linkages and the Global Competitiveness Index (GCI) in correlation with the gross domestic product (GDP) per capita, research and development (R&D) expenditures, innovation capability and information and communication technology (ICT) adoption.

In the panel data set, comparative analyses were applied to scatter diagrams, correlation and regression analyses and structural equation models using Eurostat and World Economic Forum (WEF) data for the EU-28 countries in the period 2008–2019.

The empirical results did not confirm the hypotheses that a positive correlation exists between GCI and trade openness indicators and between GDP per capita and GCI. The ICT adoption and innovation capability increase GCI, which affects GDP per capita.

The empirical results provide a better understanding of the importance of trade policies, particularly in terms of trade openness and trade shares of the EU-28 countries, as it could contribute to increasing the GCI of the EU-28 countries. Furthermore, the results of this study underline the importance of ICT adoption and innovation capability and the need for appropriate government policies that improve global competitiveness.

This study, through empirical analysis, demonstrates the existence of correlations between trade openness (exports as % of GDP, imports as % of GDP and export market shares as % of world trade), R&D expenditures, innovation capability, ICT adoption, GDP per capita and the GCI in the EU-28 countries. In addition, this study contributes managerial and policy-based implications on driving forces of global competitiveness.

In 1969, the annual per capita income of Singapore was $650. By 1981, Singapore's gross national product per capita was $5,240. Such productivity placed this small developing state among the very wealthiest non‐OPEC developing countries of the world, with an unequalled 1960–82 average annual growth rate of 7.4 per cent. During the decade to 1982, real per capita GNP grew by an average of 9.2 per cent each year. In 1982, gross domestic product amounted to $14 billion. In 1983, Singaporean real GNP grew by 7.2 per cent, a performance matched only by Hong Kong and Taiwan. Unemployment was held to a level of 2.3 per cent and inflation to an even more modest 1.1 per cent. Singapore also achieved the highest national savings rate in the world, at 42 per cent of GDP. These trends produced a 1985 GNP per capita of $7,420, larger than those of Italy, Ireland, Spain, Greece, Portugal and New Zealand; and not much less than those of either Belgium or Britain (World Bank, 1987, p. 203). If the nation's GDP contracted by 1.9 per cent in 1985, it resumed expansion thereafter, at an inflation‐adjusted rate of 1.8 per cent in 1986, and 8.6 per cent in 1987 (Wall Street Journal, 1988, p. 12).

This paper aims to determine causal relationships between the level of productive credit, real deposits and money demand – all of them in real terms – and Gross National Product between 2006 and 2020.

The vector autoregressive technique (VAR) was used, where data from real macroeconomic aggregates published by the Central Bank of Ecuador (BCE) are correlated, such as productive credit, gross domestic product (GDP) per capita, deposits and money demand.

The results indicate that there is no causal relationship, in the Granger sense, between GDP and financial activity, but there is between the growth rate of real money demand per capita and the growth rate of total real deposits per capita.

The study shows that bank credit mainly finances the operations of current assets and/or liabilities. In addition, economic agents use the banking system mainly to carry out transactional and precautionary activities.

This study aims to assess the performance of domestic and foreign Islamic banks as well as the influence of foreign banks’ home country development influence on the performance of foreign banks.

This study uses data of 17 domestic Islamic banks and 11 foreign Islamic banks from Bahrain, Malaysia and Pakistan from 2010 to 2018. Pooled ordinary least square is used to investigate the relationship between home country development and performance of foreign Islamic banks.

Results from this paper suggest domestic Islamic banks in Malaysia have higher performance than their foreign counterparts while foreign Islamic banks from Pakistan have higher performance than their domestic counterparts. However, as a whole, the performance of domestic and foreign Islamic banks is not significantly different from one another. Development of foreign banks’ home country measured by gross national income per capita and gross domestic product per capita show significant positive influence on the performance of foreign Islamic banks.

Higher level of development of the home country of foreign banks appears to influence the performance of foreign banks in the host country.

The purpose of the paper is to empirically examine the relationship between energy consumption and economic growth for a panel of five South Asian economies, namely, India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period from 1971 to 2010 within a multivariate framework.

The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in the short and long run between energy consumption and economic growth using energy inclusive Cobb–Douglas production function for a panel of five South Asia countries, namely India, Pakistan, Bangladesh, Sri Lanka and Nepal.

Pedroni’s panel cointegration test indicates the long-run equilibrium relationship between economic growth per capita, energy consumption per capita and real gross fixed capital formation per capita for panel. Further, 1 per cent increase in energy consumption per capita increases the gross domestic product (GDP) per capita by 0.8424 per cent for the panel. Causality results suggest bidirectional causality between energy consumption per capita, gross fixed capital formation per capita and GDP per capita in the long run and unidirectional causality running from energy consumption per capita and gross fixed capital formation per capita to GDP per capita in the short run.

These South Asian countries should implement an expansionary energy policies through improving the energy infrastructure, energy efficiency measures and exploiting massive renewables’ availability for low-cost, affordable clean energy access for all, especially in the yet unserved rural and remote areas for further stimulating economic growth.

Implementing energy efficiency measures and massive renewables development (wind, solar and hydropower) may help the affordable and clean energy access and reducing fossils fuel dependence and its associated greenhouse emissions in South Asia.

The issue of export instability exerts an enduring fascination for economists with an interest in the area of economic development. Over several decades a voluminous literature has emerged embracing debates on the domestic consequences and on the causes of export instability. The purpose here is to examine these debates and an attempt is made to set out different theoretical stances, to classify and examine empirical findings, and to indicate the directions in which the debates have moved. Such a statement of a review article's purpose is, of course, incomplete without more specific delineation of the boundaries within which the general objectives are pursued. Here that delineation has three facets.

The purpose of this paper is to provide evidence that the U‐shaped relationship between intellectual property rights (IPRs) and per capita gross domestic product (GDP) observed in the past literature using a panel of data is not a consequence of longitudinal forces, as has been previously postulated, but instead a consequence of cross‐sectional influences.

Differences in the longitudinal and cross‐sectional relationship between IPRs and per capita GDP are analyzed through a variety of methods, including pooled regression analysis that isolates the regional differences that are critical in making an accurate longitudinal analysis from the panel data.

Analyzing the country data reveals that a longitudinal U‐shaped relationship is counterfactual, as countries generally do not weaken their IPRs once they are in place, barring a regime change or other alteration in their political economy. The significant U‐shape link between IPRs and per capita GDP empirically observed in preliminary analysis of the panel data is instead a result of cross‐sectional influences.

Making the distinction between the cross‐sectional and longitudinal relationship between IPRs and per capita GDP provides a more accurate insight about how IPRs change in a country as it develops.

This paper provides a meta‐analysis of the Hirshleifer and Shumway's results on the casual influence of daily cloud cover on stock index returns for 26 international stock exchanges. It aims to test whether these results are influenced by the location of the stock exchange and the development of the economy.

A conventional meta‐analytic procedure is used to synthesise the data. The effect size, of the influence of cloud cover on stock returns, is measured by the Fisher Z correlation coefficient. This is obtained from the t‐statistic of the slope coefficient reported in the regression for each country. Two study characteristics are used to differentiate between the 26 stock exchanges. These are the latitude of the city and the per capita Gross Domestic Product of the country.

The influence of cloud cover on stock returns becomes more negative as latitude increases and more negative as per capita Gross Domestic Product increases. A cloud cover effect does not exist at the equator.

The implication is that trading rules based on cloud cover will be more profitable at higher latitudes.

Meta‐analyses are infrequently used in the Finance literature. This paper illustrates their utility.