2014SSRN Electronic JournalOpen access

Research into the Long-Run Relationship between Logistics Development and Economic Growth in Turkey

Sultan Kuzu, Emrah Önder

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Abstract

In this study, the long term relationship between economic growth and developments in the logistics sector are investigated. The basis of an econometric model, the relationship between logistics development and economic growth are established. The findings derived from analysis are annotated. Following methods are used in the analysis: Unit Root Tests, Engle-Granger Cointegration test and Granger Causality test. Two variables including GDP (represent to economic growth) and Turnover Index of Transportation and Storage (represent to logistic development) are used in this study. Through the analysis findings show that two variables are cointegrated. And in long run a Granger causality relation from economic growth to logistic development found. So it can be said that economic growth plays active role on the logistics development. Consequently, a Granger causality relation from logistics sector and economic growth is found in long run.

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What this paper is about

In this study, the long term relationship between economic growth and developments in the logistics sector are investigated. The basis of an econometric model, the relationship between logistics development and economic growth are established. The findings derived from analysis are annotated. Following methods are used in the analysis: Unit Root Tests, Engle-Granger Cointegration test and Granger Causality test. Two variables including GDP (represent to economic growth) and Turnover Index of Transportation and Storage (represent to logistic development) are used in this study. Through the analysis findings show that two variables are cointegrated. And in long run a Granger causality relation from economic growth to logistic development found. So it can be said that economic growth plays active role on the logistics development. Consequently, a Granger causality relation from logistics sector and economic growth is found in long run.

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Available abstract

In this study, the long term relationship between economic growth and developments in the logistics sector are investigated. The basis of an econometric model, the relationship between logistics development and economic growth are established. The findings derived from analysis are annotated. Following methods are used in the analysis: Unit Root Tests, Engle-Granger Cointegration test and Granger Causality test. Two variables including GDP (represent to economic growth) and Turnover Index of Transportation and Storage (represent to logistic development) are used in this study. Through the analysis findings show that two variables are cointegrated. And in long run a Granger causality relation from economic growth to logistic development found. So it can be said that economic growth plays active role on the logistics development. Consequently, a Granger causality relation from logistics sector and economic growth is found in long run.

Key concepts: Granger causality, Cointegration, Economics, Unit root, Econometrics, Unit root test, Causality (physics), Error correction model

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