Tourism,trade and growth: the case of Cyprus

Although the relationship between international trade and economic growth has found a wide application area in the literature over the years, this can not be said about tourism and growth or trade and tourism. This study employs the bounds test for cointegration and Granger causality tests to investigate a long-run equilibrium relationship between tourism, trade and real income growth, and the direction of causality among themselves for Cyprus. Results reveal that tourism, trade and real income growth are cointegrated; thus, a long-run equilibrium relationship can be inferred between these three variables. On the other hand, Granger causality test results suggest that real income growth stimulates growth in international trade (both exports and imports) and international tourist arrivals to the island. Furthermore, growth in international trade (both exports and imports) also stimulates an increase in international tourist arrivals to Cyprus. And finally, real import growth stimulate growth in real exports in the case of Cyprus.     

The J-curve dynamics of Turkey: an application of ARDL model

This article seeks an empirical evidence for the existence of the J-curve phenomenon both in the short-run and long-run for Turkey over the period 1980-2005. The bounds testing cointegration approach is employed to estimate the trade balance model. An augmented form of Granger causality analysis is implemented between trade balance, real effective exchange rates, foreign income and domestic income. The stability of the short-run as well as long-run coefficients in the trade balance model is tested too. The empirical results that the J-curve phenomenon is supported only in the short-run. Whilst causality tests reveal mix results, the parameter stability tests seem to be inconclusive.     

An Empirical Analysis of Short-run and Long-run Irish Export Functions: Does exchange rate volatility matter?

We analyse the long-run and short-run relationship between merchandise export volume and its determinants, foreign income, relative prices and exchange rate volatility, using the techniques of cointegration and error correction. The model was estimated for Irish exports and sectoral exports SITC 0-4 and SITC 5-8 to the EU using quarterly data for the period 1978-1998. The sectoral classification corresponds to the exports of mainly indigenous Irish firms and multinationals, respectively. We find that the exchange rate volatility has no effect on the volume of trade in the short-run but a significant positive effect in the long run. This is true in the aggregate and for our sectoral classifications. We can tentatively conclude that the decline in intra-EU exchange rate volatility associated with the single currency will lead to a long-run fall in Irish exports to the EU.     

Oil Exports, Non-Oil GDP, and Investment in the GCC Countries

This paper studies the long-run and short-run relationships between oil exports, non-oil GDP, and investment in five major oil-exporting countries. Its goal is to verify the effect of natural resources exports on economic performance. It considers the effect of cross-sectional correlations and uses the corresponding panel unit-root tests to study the long-run characteristics of the data series. The results show that resources' exports have no long-run relationship with the macroeconomic variables. A VAR analysis is used to estimate the short-run dynamics and shows that the effect of oil exports on those variables depends on local policies.     

Is there an export or import-led productivity growth in rapidly developing Asian countries? a multivariate VAR analysis

In contrast to cross-country studies, the paper investigates the relationships between trade and labour productivity for nine rapidly developing Asian countries in a time-series framework using a vector error-correction model. Independent tests on the long-run and short-run relationship between trade variables of exports and imports and productivity are conducted. The results suggest that trade has an important impact on productivity and output growth in the economy, however it is imports that provide the important?‘virtuous’?link between trade and output growth. The results indicate that exports and imports have qualitatively different impacts on labour productivity. The long-run result shows that there is no causal effect from exports to labour productivity growth for Hong Kong, Indonesia, Japan, Taiwan and Thailand; thereby suggesting that there is no export-led productivity growth in these countries. However, significant causal effects were found from imports to productivity growth, suggesting import-led productivity growth in India, Indonesia, Malaysia, Philippines, Singapore and Taiwan. In addition, the results indicate that imports tend to have greater positive impact on productivity growth in the long run.     

A further examination of the export-led growth hypothesis

This article challenges the common view that exports generally contribute more to GDP growth than a pure change in export volume, as the export-led growth hypothesis predicts. Applying panel cointegration techniques to a production function with non-export GDP as the dependent variable, we find for a sample of 45 developing countries that: (i) exports have a positive short-run effect on non-export GDP and vice versa (short-run bidirectional causality), (ii) the long-run effect of exports on non-export output, however, is negative on average, but (iii) there are large differences in the long-run effect of exports on non-export GDP across countries. Cross-sectional regressions indicate that these cross-country differences in the long-run effect of exports on non-export GDP are significantly negatively related to cross-country differences in primary export dependence and business and labor market regulation. In contrast, there is no significant association between the growth effect of exports and the capacity of a country to absorb new knowledge.     

CO2 emissions,economic growth,energy consumption,trade and urbanization in new EU member and candidate countries: A panel data analysis

This paper investigates the causal relationship between energy consumption, carbon dioxide emissions, economic growth, trade openness and urbanization for a panel of new EU member and candidate countries over the period 1992–2010. Panel unit root tests, panel cointegration methods and panel causality tests are used to investigate this relationship. The main results provide evidence supporting the Environmental Kuznets Curve hypothesis. Hence, there is an inverted U-shaped relationship between environment and income for the sampled countries. The results also indicate that there is a short-run unidirectional panel causality running from energy consumption, trade openness and urbanization to carbon emissions, from GDP to energy consumption, from GDP, energy consumption and urbanization to trade openness, from urbanization to GDP, and from urbanization to trade openness. As for the long-run causal relationship, the results indicate that estimated coefficients of lagged error correction term in the carbon dioxide emissions, energy consumption, GDP, and trade openness equations are statistically significant, implying that these four variables could play an important role in adjustment process as the system departs from the long-run equilibrium.     

The J-curve: evidence from commodity trade between US and China

In testing the short-run (J-curve effect) and the long-run effects of currency depreciation on the trade balance many researchers have used either trade data between one country and the rest of the world or between one country and another trading partner. Both groups are said to suffer from aggregation bias. To reduce the bias, in this article we consider trade data between one country (the US) and her trading partner (China) disaggregated by commodity. We use imports and exports of 88 industries (2-digit and 3-digit classifications) and cointegration analysis to show that the trade balance of at least 34 of the industries react favourably to real depreciation of the dollar. The J-curve effect is detected in 22 industries. Furthermore, most of these industries that are sensitive to currency depreciation are durable commodity groupings.     

Long-run income and price elasticities of demand for Colombian nontraditional exports: a multivariate cointegration framework

A long run income and price elasticities of demand is estimated for Colombian nontraditional exports through a multivariate cointegration analysis. Based on the combination of cointegration and exogeneity concepts and the inclusion of the complete dynamic system, the paper shows the existence of a long-run relationship among nontraditional exports, relative price and foreign demand, and higher long-run elasticities than those provided by the long-run cointegration vector coefficients that are usually reported in the trade literature.     

Long-run Effective Demand in the US Economy: An Empirical Test of the Sraffian Supermultiplier Model

The Sraffian supermultiplier is a model of demand-led growth that stresses the importance of the autonomous components of aggregate demand (exports, public spending and autonomous consumption). This article tests empirically some major implications of the model employing macroeconomic data for the United States. In particular, we study the long-run relation between autonomous demand and output through cointegration analysis. The results suggest that autonomous demand and output are cointegrated and that autonomous demand exerts a long-run effect on output. There is also some evidence of simultaneous causality, especially in the short-run. Movements in autonomous demand and in the investment share are also found to be positively related, with Granger-causality going from Z to I/Y.     

Investigating the semiconductor industry cycles

The aim of this article is to investigate the links between semiconductor sales and various macroeconomic, financial, industrial variables including inventories, equipment orders or semiconductor sector stock index. Statistical properties of these variables are studied. Both short-run and long-run interactions are analysed. On the short-run, our results indicate that relationships often imply feedbacks. Through the implementation of cointegration analysis, we separately identify both sales value and investments in the semiconductor market. An impulse–response analysis confirms the relevance of our choice of data and stability tests demonstrate that the parameters remain constant during the entire sample. The Vector Error Correction Models (VECMs) offer a representation respecting cycle theories and market actor analyses.     

Short-run and long-run dynamic linkages among international stock markets

This paper investigates the dynamic linkages among the U.S., Japan, U.K. and German stock market indices using daily data for the April 1, 1984 to May 31,91 period. In contrast to previous studies, a vector error correction model of cointegrated variables as developed by Johansen (1988, 1991) and Johansen and Juselius (1990) is employed to examine both short-run and long-run intermarket relationships among these four stock markets. Significant evidence is found in support of both short-run and long-run relationships among these four stock market indices. The U.S. stock market leads other stock markets in short-run in the pre and post October 1987 crash, but leads all other markets in the long-run in all periods examined. The presence of a one long-run cointegrating equilibrium relationship among the four stock market indices implies a limited role of international diversification for investors with long holding periods. However, because the US-Japan-Germany stock market indices, and Japan-UK-Germany indices are not cointegrated with each other, these indices may yield international portfolio diversification in the long-run. Finally, the conflicting results from multivariate cointegration tests found in this study can not be used to provide conclusive evidence on international stock market efficiency.     

Mexico's Economic Growth and the Balance of Payments Constraint: A cointegration analysis

This paper applies the basic balance-of-payments constraint model (BPCmodel), developed by A.P. Thirlwall, to the analysis of Mexico's economic growth in 1950-96.With the use of unit-root tests and cointegration analysis it estimates the long-run association between the growth of Mexico's real exports and real output in 1950-96, and selected subperiods. The results tend to show significant and positive cointegration between these two variables, thus giving support to the BPC-model as a relevant hypothesis to explain Mexico's long-term economic growth. Moreover, the findings of cointegration tests for selected subperiods suggest that the slowdown in its economic growth since 1982 is associated with an increase in the long-term income elasticity of imports that made more binding the balance-of-payments constraint on the expansion of domestic output.     

ENDOGENOUS TRADE POLICY: A TIME-SERIES APPROACH*

This paper provides a time-series analysis on the relationship between the extent of endogenous trade policy and both political and economic variables. The chosen trade policy indicator is the number of foreign-trade regulations passed each year for the benefit of a single firm or industry. The data are from Uruguay, 1925–1983. This country, which experienced an impressive economic decline, is an outstanding example of the rent-seeking society. The paper shows that endogenous regulations increased with discretionary policies, with adverse macroeconomic shocks and under dictatorship. It also shows that these regulations had a negative long-run effect on the growth rates of output and exports. The short-run effect was positive however.     

Financial market development and trade openness: evidence from emerging economies

International trade is said to be the engine of economic growth. Despite an enormous effort to explain this phenomenon, the relationship between financial market development and trade openness and integration into the world economy is still an enigma. This article investigates the relationship between financial market development and trade openness. To do this, we develop a long-run and short-run model (a bounds testing approach to cointegration) for 18 emerging economies over the period 1980 to 2011. Estimates from all models show that financial market development, including both the stock market and the banking sector, has significant effect on trade openness in both short-run and long-run phenomena in the majority of countries. Despite many similarities among emerging economies, additional evidence suggests that the link between either stock market development or banking sector development with trade openness works via each country’s specific structure.     

Tourism and trade in OECD countries. A dynamic heterogeneous panel data analysis

This article studies the empirical link between international tourism and trade. We apply dynamic heterogeneous panel data techniques to analyse both long and short-run relationship for the case study of OECD countries. This link is studied by estimating the cointegration vector and analysing the short causality between variables. The analysis recognises that inbound tourism can promote international trade and also that international flow of goods requires and may encourage tourist arrivals and departures. The statistical significance of this link supports the presence of business opportunities due to the potential complementary relationship between tourism and trade. The results suggest a short-run nexus between tourism and trade, and that these variables are cointegrated.     

Does the exchange rate matter to bilateral trade between Korea and Japan? Evidence from commodity trade data

This study examines the short- and long-run effects of exchange rate changes on trade flows in the context of disaggregating industry data of bilateral trade between Korea and Japan. For this purpose, an autoregressive distributed lag (ARDL) approach is used. Results show that Korea's exports and imports are relatively sensitive to the bilateral exchange rate in the short-run, but less responsive in the long-run. It is also found that income in the two countries has significant impacts on the bilateral trade flows in both the short- and long-run. Finally, exchange rate uncertainty and Japanese FDI to Korea are found to have little impacts on Korea's trade with Japan in the short- and long-run.     

Exchange rate policy and trade balance: a cointegration analysis of the Argentine experience since 1962

Using multivariate cointegration tests for nonstationary data and vector error correction models, this article examines the determinants of trade balance (TB) for Argentina over the last forty to fifty years taking into account that the short-run impacts of currency depreciation on the TB behaviour may differ from the long-run effects. Our investigation confirms the existence of long-run relationships among TB, real exchange rate (RER) and foreign and domestic incomes for Argentina during different RER management policies. Based on the estimations, the Marshall-Lerner condition is checked and, by means of impulse response functions, we trace the effect of a one-time shock to the RER on the TB not finding support for a J-curve pattern in the short-run.     

Cointegration for market forecast in the Spanish stock market

This study is interested in empirically testing the existence of a long-run relationship between the Spanish stock market and its fundamentals, and in checking to which extent this relationship helps in forecasting. This study is concerned with the behaviour of the aggregate Madrid Stock Exchange in a macroeconomic context. It also identifies as macroeconomic fundamentals: industrial production as a proxy for real activity, inflation and interest rates. This study tests the existence of cointegration by Johansen's procedure. The long-run relationships among the variables implied by the existence of cointegration do not allow inference to the interrelations among the variables. To get some insight into the short-run interactions among the variables, an impulse response analysis was performed. This study compares the forecasting ability of its model with respect to alternative multivariate specifications in terms of RMSE. Also measured is the value of the forecast for the financial agents assessing the extent to which it helps improve asset allocation.