How productivity and domestic output are related to exports and foreign output in the case of Sweden

In this paper we examine the relationships between two sets of three variables: Swedish real exports, Swedish real GDP, and foreign real GDP in one set; and Swedish real exports, Swedish total factor productivity, and foreign real GDP in the other set. The foreign real GDP facing Sweden is proxied by total OECD real GDP minus Sweden's real GDP. Multivariate tests for integration and cointegration show that the variables in each model are cointegrated. We also perform Granger causality tests on these variables in our examination using the Toda-Yamamoto procedure. We discover bi-directional causality between Swedish real exports and Swedish real GDP (or Swedish total factor productivity). Foreign real GDP is shown to Granger cause Swedish real exports, but no significant causation of foreign real GDP on either domestic GDP or total factor productivity was found. A change in foreign real GDP thus appears to affect Swedish output and productivity only indirectly, through changes in Swedish exports. JEL classification:F41, F43, C30, C32     

Economic growth,exports and foreign direct investment in Least Developed Countries: A panel Granger causality analysis

This paper investigates potential Granger causality among the real GDP, real exports and inward FDI in Least Developed Countries for the period between 1970 and 2009. A new panel-data approach developed in Kónya (2006) [Kónya (2006), Exports and growth: Granger causality analysis on OECD countries with a panel data approach, Economic Modelling, 23, 978–992] which is based on SUR systems and Wald tests with country specific bootstrap critical values has been employed. The results indicate direct, one-period-ahead, unidirectional causality from exports to GDP in Haiti, Rwanda and Sierra Leone, and from GDP to exports in Angola, Chad and Zambia. Considering the FDI–Growth nexus, there is evidence of FDI Granger-causing GDP in Benin and Togo, and GDP Granger-causing FDI in Burkina Faso, Gambia, Madagascar and Malawi. While studying EXP–FDI relations, this paper finds that the causality is from FDI to real exports in Benin, Chad, Haiti, Mauritania, Niger, Togo and Yemen, and from real exports to FDI in Haiti, Madagascar, Mauritania, Malawi, Rwanda, Senegal and Zambia.     

Cointegration, causality and export-led growth in Mexico, 1895–1992

Cointegration and Granger-causality tests show that real exports and real GDP in Mexico over 1895–1992 were cointegrated and there was a significant and positive Granger-causal relationship running from exports to economic growth.     

A vector error-correction forecasting model of the US economy

Any research or policy analysis in economics must be consistent with the time-series properties of observed macroeconomic data. Numerous previous studies reinforce the need to specify correctly a model’s multivariate stochastic structure. This paper discusses in detail the specification of a vector error correction forecasting model that is anchored by long-run equilibrium relationships suggested by economic theory. The model includes six variables––the CPI, the GDP price index, real money balances (M1), the federal funds rate, the yield on long-term (10-year) government bonds, and real GDP––and four cointegrating vectors. The accuracy of VECM model forecasts for individual, univariate time series during for the 1990s is comparable to forecasts made by government agencies and private forecasters, perhaps because many forecasters share a similar implicit, long-run steady-state growth model of the economy. Judged by multivariate statistics that account for forecast-error covariance, VECM forecasts are found to be somewhat more accurate than a naïve random-walk alternative.     

Causality Between Exports and Economic Growth: The Empirical Evidence from Shanghai

The export-led growth hypothesis is tested using monthly time series data for Shanghai (one of the major exporting provinces in China) using the Granger no-causality procedure developed by Toda and Yamamoto (1995) in a vector autoregresion (VAR) model. This paper builds on the existing literature in three distinct ways. This is the first study of the export-led growth hypothesis which employs a regional dataset (Shanghai). Second, the paper follows Riezman et al . (1996) in controlling for the growth of imports to avoid a spurious causality result; and finally, the use of the methodology by Toda and Yamamoto is expected to improve the standard F -statistics in the causality test process. The research finds one-way Granger causality running from GDP to exports     

Revisiting the environmental kuznets curve hypothesis: evidence from the ASEAN-5 countries with structural breaks

This paper tests if the Environmental Kuznets Curve (EKC) hypothesis exists for ASEAN-5 countries in an annual sample data that covers 1971–2013, by utilizing Auto Regressive Distributed Lag (ARDL) methodology. The empirical findings give support for the EKC hypothesis for Thailand only, after considering the structural breaks. Furthermore, the paper tests the EKC hypothesis for a panel data of the ASEAN-5 by adopting the Pooled Mean Group (PMG) methodology. The results show that the long-run estimates provide no evidence for the EKC hypothesis. Finally, the paper examines the causality between the CO₂ emissions and GDP. For individual countries, bidirectional causality was found in the case of Thailand and Malaysia, plus unidirectional causality running from GDP and squared GDP to CO₂ emissions was found for Indonesia, but a unidirectional causality running from CO₂ emissions to GDP and squared GDP was found for the Philippines, however, no causality effect was found for Singapore. Furthermore, the pairwise Dumitrescu and Hurlin Panel Causality test show a bidirectional effect between CO₂ emissions and both GDP in addition to squared GDP.     

The export-output growth nexus in Japan: a bootstrap rolling window approach

The purpose of this article is to examine the export–output nexus in Japan by taking into account the time variation in the causal link with bootstrap Granger non-causality test and rolling estimation. The data used cover the seasonally adjusted real export and real Gross Domestic Product (GDP) for the 1957:1–2009:1 period. Standard Granger causality tests indicate no causality between export and real GDP series. On the contrary, full sample-modified Granger causality tests based on bootstrap, which are applicable irrespective of integration–cointegration properties of the data, indicate a bi-directional causal link between exports and real GDP. Accordingly, export growth should be an important factor behind Japan’s high-economic growth in the last three decades. Using parameter stability tests, we show that these results are not uniform for different sample periods and results vary due to structural changes. Using bootstrap rolling window estimation, we find that there is a positive bi-directional predictive power from the mid 1970s to the late-1980s between the series, while from the late 1990s to 2009 there is a positive predictive power only from export growth to output growth.     

Exports, imports, and economic growth in Portugal: evidence from causality and cointegration analysis

This paper investigates the Granger-causality between exports, imports, and economic growth in Portugal over the period 1865–1998. The role of the import variable in the investigation of exports–output causality is emphasized, enabling one to test for the cases direct causality, indirect causality, and spurious causality between export growth and output growth. The empirical results do not confirm a unidirectional causality between the variables considered. There is a feedback effect between exports–output growth and imports–output growth. More interestingly, there is no kind of significant causality between import–export growth. Both results seem to support the conclusion that the growth of output for the Portuguese economy during that period revealed a shape associated with a small dual economy in which the intra-industry transactions were very limited.     

Causality between exports,world income and economic growth in Pakistan

This paper investigates the direction of causation between GDP representing economic growth, exports and its different categories, imports and world income. After experiencing vigorous import-substitution in the past decades, Pakistan adopted an outward-looking strategy in the late 1980s with an emphasis on export promotion. A strong and stable relationship between GDP and exports and bi-directional causality between manufactured exports and GDP has been found. Export promotion policy is pursued consistently with an emphasis on manufactured exports and this is most likely to contribute adequately to economic growth in the long run.     

Temporal causality and the dynamics of democracy,emigration and real income in Fiji

This study is the first to explore temporal causality between democracy, emigration and real income in Fiji within a multivariate cointegration model. We find three long run relationships between democracy, emigration and real income. In the long run there is evidence that migration and democracy Granger cause real GDP in Fiji; real GDP and democracy Granger cause migration from Fiji and that real GDP and migration Granger cause democracy in Fiji. In the short run we find unidirectional Granger causality running from migration to real GDP and from democracy to real GDP, but neutrality between democracy and migration in the short run. We also extend the analysis to examine the degree of exogeneity of the variables beyond the sample period through considering the decomposition of variance and impulse response functions.     

IMMIGRATION UNEMPLOYMENT RELATIONSHIP: THE EVIDENCE FROM CANADA*

This paper examines the relationship between unemployment and immigration in Canada. The bi‐directional causality test finds no evidence of a significant effect of Canadian immigration on unemployment. Cointegration tests indicate that there is no observed increase in aggregate unemployment due to immigration in the long run. The results from the causality test based on the vector error correction model confirm that, in the short run, past unemployment does cause (less) immigration but not vice versa. There is also a long‐run positive relationship among per‐capita GDP, immigration rate and real wages. The results indicate that, in the short‐run, more immigration is possibly associated with attractive Canadian immigration policies, and in the long‐run, as the labour market adjusts, Canadian‐born workers are likely to benefit from increased migration.     

An analysis of EU wine trade: A gravity model approach

In this research study, a gravity model approach was used in order to analyze the main factors affecting the trade flows of wine in the EU. The empirical model was applied using data for the first twelve EU countries for the period 1989–97. It has been clearly shown in the empirical literature that gravity models can be successfully applied to a single commodity market. The present study utilized pooled cross-sectional and time series data in a one-way fixed effects model that accounted for country-pair heterogeneity. The results revealed that wine trade was positively influenced by an increase in GDP per capita, since greater income promotes trade. The remoteness of one country from another influenced exports positively and imports negatively, and the quantities traded did not prove to be very sensitive to wine prices. The depreciation of EU currencies and the high production of wine in the EU increased exports and reduced imports, while EU integration enhanced trade among members.     

中国能源消费与经济发展的动态关系研究

运用协整理论,研究了1953--2006年中国能源消费与实际GDP之间的关系。结果表明：中国能源消费和实际GDP之间存在协整关系。建立了能源消费与实际GDP之间的误差修正模型,并通过基于误差修正模型的格兰杰因果关系检验分析了中国能源消费和实际GDP之间的因果关系。结果表明：存在能源消费到实际GDP的短期格兰杰因果关系,存在实际GDP到能源消费的长期格兰杰因果关系。采用HP滤波技术分离出能源消费和实际GDP的趋势成分和周期成分,对能源消费和实际GDP的趋势成分、周期成分之间的关系进行分析。结果表明,能源消费和实际GDP的趋势成分之间存在共同趋势,能源消费和实际GDP的波动成分具有相同的波动特征。最后得出结论：中国能源消费与实际GDP之间的协整关系与经济增长和能源消费的共同波动有关。     

Openness in the Canadian economy: 1870–1988

The causal relation between openness and GDP and between exports and imports are examined. Causality test carried out in growth rates showed that over the period 1870–1988 openness, both narrowly and broadly defined, Granger-causes GDP growth; tests for the inverse causality produced mixed results, validating causality from GDP growth to export plus import growth, but rejecting causlaity from GDP growth to export growth; it was also found that export growth causes import growth, but not the opposite. Causality tests over four subperiods indicated the importance of openness for only the earliest phase of Canadian economic development. While the absence of causality in the later subperiods is largely compatible with the experience of the industrial countries, no meaningful comparison can be made between the experience of Canada and that of developing countries owing to causality variations of openness and to large differences in resource endowments.     

Nonlinear dynamics and the exports–output growth nexus

The untested assumption of a linear relationship between exports and output growth in previous empirical investigations may lead to invalid inference if the actual relationship is nonlinear. This paper re-examines the relationship between exports and economic growth in five industrialized economies (Canada, Italy, Japan, UK, and the US) with emphasis on the effect of nonlinearities on the causal relationships. Results from linearity tests show that nonlinearities do exist in the dynamic relationship between exports and GDP growth. Nonlinear smooth transition autoregressive (STAR) model results suggest that nonlinear Granger causality flows from exports to output growth and vice versa. Predictive accuracy tests further confirm the appropriateness of the nonlinear models over the linear model specification.     

Re-examining the financial development and economic growth nexus in Kenya

This paper re-examines the causal relationship between financial development and economic growth in Kenya for the period 1966–2005 within a quadvariate vector autoregressive (VAR) framework by including exports and imports as additional variables to the finance–economic growth nexus. We use four conventionally accepted proxies for financial development, namely money supply (M2), liquid liabilities (M3), domestic bank credit to the private sector and total domestic credit provided by the banking sector (all percent of GDP). Applying a modified version of the Granger causality test due to Toda and Yamamoto [Toda, H.Y. and Yamamoto, T., Statistical inference in vector autoregressions with possibly integrated process. Journal of Econometrics 1995; 66; 225–250], our empirical results suggest that in three out of the four measures of financial development we found evidence of a two-way Granger causality: (1) between domestic credit provided by the banking sector and economic growth; (2) between total domestic credit provided by the banking sector and economic growth, and (3) between liquid liabilities and economic growth. This implies that neither the supply-leading nor the demand-following hypotheses are supported in Kenya and that economic growth and financial development are jointly determined, or they complement each other. A major implication of our finding is that financial development promotes economic growth in Kenya and that policies at enhancing the development of the financial sector can help to spur economic growth.     

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.     

Little Divergence: Evidence from Cotton Textiles in Japan and China 1868–1930

This paper looks at the role of textile exports in Japan and China's economic development in the period of 1868–1930 as a major explanation for the “Little Divergence” between the two countries in the context of the “Great Divergence” between Europe and Asia. Because of textiles' large weighting in proto‐industrialization gross domestic product (GDP), we postulate that China's initial 20‐year lag in textiles vis‐à‐vis Japan turns out to be fatal for its industry and that it eventually ordains totally different development patterns for the textile industry in the two countries, which ultimately led to different growth patterns for the overall economy. Although both countries saw rapid growth of textile exports, the nature of those exports and the entailed position of each country in the industry value chain of trade were quite different. We then use Granger causality tests to show that in one case (Japan) it is in support of the export‐led‐growth hypothesis (ELG) while in another (China) it is not. Our study then also explains why Japan's industrial revolution took place much earlier than China's.     

Short-Run and Long-Run Effects of Copper Mining on Peru’s Recent Economic Growth

Peru is the second-largest producer and exporter of copper in the world. This paper proposes a novel approach to assess short-run and long-run effects of copper on Peru’s recent economic growth. Annual data over the 2014–2018 period were used to calculate a Mining Contribution Index (MCI). An institutional quality indicator of the World Competitiveness Index of the World Economic Forum measured the dependence of Peruvian economic growth on mining and the quality of its institutions, respectively. Then, monthly data during the period 2005–2018 were used to run vector autoregressive (VAR) and vector error correction (VEC) models to measure copper’s effects on the country’s economy over time. VAR-VEC models included copper production, exports, international price, investment, taxes paid by producing companies, and Peru’s gross domestic product (GDP). Stationarity and causality of variables were verified with the Augmented Dickey-Fuller and Granger tests, respectively. Due to the presence of non-stationary variables, a VEC model was implemented to forecast short- and long-run effects. The main results show that real GDP responds to copper output and other related explanatory variables differently, depending upon the instrument applied. Peruvian GDP has increased dependence on copper mining. The quality of its institutions could explain the presence of Dutch Disease or resource curse theory. Short- and long-run effects of copper output on GDP were generally statistically non-significant. GDP was statistically significant in relation to other mining variables, such as copper exports and the international price of copper.

     

The relationship between population growth and standard-of-living growth over 1870–2013: evidence from a bootstrapped panel Granger causality test

This paper examines the linkages between population growth and standard-of-living growth in 21 countries over the period of 1870–2013. We apply the bootstrap panel causality test proposed by Kónya (Econ Model 23:978–992, 2006), which accounts for both dependency and heterogeneity across countries. We find one-way Granger causality running from population growth to standard-of-living growth for Finland, France, Portugal, and Sweden, one-way Granger causality running from standard-of-living growth to population growth for Canada, Germany, Japan, Norway and Switzerland, two-way causality for Austria and Italy, and no causal relationship for Belgium, Brazil, Denmark, Netherlands, New Zealand, Spain, Sri Lanka, the UK, the USA, and Uruguay. Dividing the sample into two subsamples due to a structural break yields different results over the two periods of 1871–1951 and 1952–2013. Our empirical results suggest important policy implications for these 21 countries as the directions of causality differ across countries and time period.