چکیده:
he main purpose of this study is to estimate the maritime transportation elasticities of the environmental pollution and economic growth in Iran within the short-run and long-run to find out the relationships among maritime transportation, environmental pollution and economic growth. The lagged endogenous model (a dynamic log-linear model that we used) is estimated using two distinctive approaches: single-equation one with OLS and simultaneous-equations with GMM. The results of both methods unanimously show that the maritime transportation elasticities of both environmental pollution and economic growth are low and positive just like the economic growth elasticities of environmental pollution. Therefore, environmental pollution has a positive relationship with the maritime transportation and economic growth, confirming the Pollution Haven Hypothesis; and the economic growth responds to the maritime transportation slightly and slowly. The policy-makers are advised to improve the environmentally-polluting infrastructure of the maritimetransportation rather than restricting the growth of this sector.
خلاصه ماشینی:
Maritime Transportation, Environmental Pollution, and Economic Growth in Iran: Using Dynamic Log Linear Model and Granger Causality Approach Saeed Mohamad Taghvaee*1, Behrouz Omaraee2, Vahid Mohamad Taghvaee3 Received: August 8, 2016 Accepted: November 12, 2016 Abstract he main purpose of this study is to estimate the maritime transportation elasticities of the environmental pollution and economic growth in Iran within the short-run and long-run to find out the relationships among maritime transportation, environmental pollution and economic growth.
The main purpose of this study is to estimate the maritime transportation elasticities of the environment and economy of Iran in the short-run and long-run to find out the relationship between maritime transportation on the one hand, and environmental pollution and economic growth on the other hand.
2. Methodology The elasticities of environmental pollution and economics growth are estimated in two intervals, short-run and long-run, in Iran during 1978-2012, using one dynamic log-linear model including two equations.
4. Models and Results Based on the results, the maritime transportation elasticities of environmental pollution and economic growth are low both in the short-run and long-run in Iran during 1978-2012.
Model Specification Using the dynamic log-linear model, the maritime transportation elasticities in Iran are estimated in the short-run and long-run with two distinctive regressions: 1) environmental pollution regression; and 2) economic growth regression; and two different methods: OLS and GMM.
6. Conclusion This study estimates the maritime transportation elasticities of environmental pollution and economic growth in short-run and long- run in Iran during 1978-2012, using the dynamic log-linear model with two distinctive methods: OLS and GMM.