Abstract:This is a study of 42 developing countries of Asia, Africa and Latin America in which we first examine the impact of trade liberalisation on economic growth, investment share of GDP, openness, trade balance and current accounts (as percentages of GDP).Both panel data and country by country data are used to measure the impact of liberalisation on domestic economic growth measured in PPP terms from the data available in Heston, Summers and Aten (2001) study. Domestic economic growth is often positively related t… Show more
“…This study extends the previous work (Parikh and Stirbu, 2004) where static models have been used to study the relationship between trade liberalisation and economic growth and the joint impact of liberalisation and growth on trade balance. Our previous models and analysis can be useful to draw certain inferences but otherwise, it was analytically less strong as there existed problems of serial correlation with econometric estimation on panel or time series data.…”
The objectives of this paper are to study the impact of liberalisation on trade deficits and current accounts of developing countries. It is expected that trade liberalisation would promote economic growth from the supply side by leading to a more efficient use of resources, by encouraging competition, and by increasing the flow of ideas and knowledge across national boundaries. Trade liberalisation could lead to faster import growth than export growth and hence the supply side benefits may be offset by the unsustainable balance of payments position. This study uses panel data of 42 countries (both time-series and cross-section dimension) to estimate the effect of trade liberalisation and growth on trade balance while controlling for other factors such as income terms of trade. The major finding of the study is that trade liberalisation promotes growth in most cases, (Part 1 of this study) the growth itself has a negative impact on trade balance and this in turn could have negative impacts on growth through deterioration in trade balance and adverse terms of trade. Our conclusion is that trade liberalisation could constrain growth through adverse impact on balance of payments.
“…This study extends the previous work (Parikh and Stirbu, 2004) where static models have been used to study the relationship between trade liberalisation and economic growth and the joint impact of liberalisation and growth on trade balance. Our previous models and analysis can be useful to draw certain inferences but otherwise, it was analytically less strong as there existed problems of serial correlation with econometric estimation on panel or time series data.…”
The objectives of this paper are to study the impact of liberalisation on trade deficits and current accounts of developing countries. It is expected that trade liberalisation would promote economic growth from the supply side by leading to a more efficient use of resources, by encouraging competition, and by increasing the flow of ideas and knowledge across national boundaries. Trade liberalisation could lead to faster import growth than export growth and hence the supply side benefits may be offset by the unsustainable balance of payments position. This study uses panel data of 42 countries (both time-series and cross-section dimension) to estimate the effect of trade liberalisation and growth on trade balance while controlling for other factors such as income terms of trade. The major finding of the study is that trade liberalisation promotes growth in most cases, (Part 1 of this study) the growth itself has a negative impact on trade balance and this in turn could have negative impacts on growth through deterioration in trade balance and adverse terms of trade. Our conclusion is that trade liberalisation could constrain growth through adverse impact on balance of payments.
“…However, previous empirical evidence throws up mixed results. On the one hand, Edwards (), Krueger (), Frankel and Romer (), Wacziarg (, ), Parikh and Stirbu (), among others, argue that there is a link between liberalization of international trade and economic growth, Sachs and Warner (), argue that trade openness increases the convergence rate, whereas Nugent's () study discovers both winners and losers, Yanikkaya () obtains a mixture of positive or no relationships, and those of Baliamoune‐Lutz and Ndikumana () suggest that more opening up to trade has led to a divergence of income instead of convergence in African countries. Finally, among the greatest sceptics are Rodríguez and Rodrick (), who severely question the validity of the econometric methodology and techniques used in the studies of Dollar (), Edwards (), Sachs and Warner (); and that of Rodrik (), which points out that regression models of economic growth tell us nothing about the effectiveness of the policies (e.g., on trade) and the real motives of governments taking these measures.…”
We empirically analyze the causality relationship between economic growth and international trade using new advancements in the econometric methodology for heterogeneous panel data applied to Latin American countries.First, we test for dependencies between the units of cross-section (countries) and then we test for cointegration between growth and openness. Finally, we test for Granger causality using a heterogeneous panel data test. The results reject the hypothesis of general, unidirectional, and homogeneous relationship between trade openness and economic growth in Latin American countries as a group. However, considering heterogeneity, we found significant evidence of causality from trade liberalization to economic growth in Chile, Peru, Nicaragua, and Uruguay; we have found bidirectional causality in Mexico and Honduras; and a causal relationship from economic growth to trade liberalization in Colombia, Costa Rica, Guatemala, and the Dominican Republic.
“…As can be seen from Table 2, Trade of Balance causes inflation (TROB → INF) as also suggested by Lane (1997). Furthermore, economic activity seems to Granger cause Trade of Balance (GDP → TROB), a result that it is not supported by Parikh and Stirbu (2004). (5) VAR (3) VAR (3) VAR (4) VAR (3) VAR (3) VAR (3) VAR (2) VEC (3) VAR (3) VAR (5) VAR (1) VAR (5) BELGIUM VAR (4) VAR (5) VAR (4) VAR (3) VAR (2) VAR (4) VAR (4) VAR (4) VAR (2) VAR (1) VAR (4) VAR (4) VAR (1) VAR (1) DUTCH VAR (4) VEC (4) VAR (5) VAR (6) VAR (3) VAR (4) VAR (3) VAR (4) VAR (3) VAR (2) VAR (3) VAR (4) VAR (4) VAR (1) VAR (1) FINLAND VAR (4) VAR (3) VAR (5) VAR (4) VAR (3) VAR (3) VAR (4) VAR (4) VAR …”
Section: Empirical Results and Methodologyunclassified
This article investigates the interdependence of macroeconomics, financial and other variables for European Union countries using a multivariate vector autoregressive (VAR) approach for quarterly data. The VAR analysis is applied to all bivariate cases, and the best fitted models are selected in order to conduct Granger causality testing and impulse response functions. Contrary to the existing literature, this study reveals evidence of a unilateral direction between several cases and ambiguous results regarding Impulse response functions analysis. KEYWORDS Vector autoregressive analysis; causal relations; impulse response functions; macro and financial variables JEL CLASSIFICATION C22; C59; G10; E60
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