Seyed Hussein Fatemi Nsab; Zohreh Hajiha; Ghodratollah Emamverdi; Ali Baghani
Abstract
The tourism industry is the largest and most diverse industry in the world. The impact of tourism on increasing employment and foreign exchange earnings, the prosperity of domestic industries, the expansion of international cooperation has changed the attitude of countries around the world and has found ...
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The tourism industry is the largest and most diverse industry in the world. The impact of tourism on increasing employment and foreign exchange earnings, the prosperity of domestic industries, the expansion of international cooperation has changed the attitude of countries around the world and has found an important place in government policy. Therefore, in this study, the orthogonal effect of financial development and tourism on economic growth in Iran has been modeled using the factor-augmented vector regression model (FAVAR) combined with the model of variable parameters over time (TVP). And using time series data during the years 1363 to 1397 has been studied. The results show that there is a positive and significant relationship between economic growth and tourism and a positive and significant relationship between economic growth and financial development. Financial development such as easy turnover in the country of origin and the simple use of financial instruments to finance tourists play an important role in the growth of this industry. Just as increased financial development leads to economic growth, so does economic growth lead to improved infrastructure and the development of the tourism industry.
Dynamic Panel Data
Hassan Heidari; asall sadeghpour
Volume 6, Issue 21 , November 2015, , Pages 28-11
Abstract
This study uses data from the eight largest Islamic countries known as D-8 for the period 2000 to 2013 concerns to assess the effect of tourism, energy consumption and political instability on economic growth. To address the objective of this study, we utilize both the static panel data approach as well ...
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This study uses data from the eight largest Islamic countries known as D-8 for the period 2000 to 2013 concerns to assess the effect of tourism, energy consumption and political instability on economic growth. To address the objective of this study, we utilize both the static panel data approach as well as the dynamic generalized method of moments (GMM) estimator to examine the impact of candidate variables. Our results show that energy consumption and tourism significantly contribute to the economic growth of countries in the D-8 region. Hence, our study lends some support to the existence of the tourism-led growth and energy-led growth hypotheses in the region. In line with our expectation, our estimation results also reveal that political instability impedes the process of economic growth and development in the D-8 countries. There fore, it should be take serious action in these countries to overcome political instability and attract international tourists to boost economic growth. Since energy consumption has the greatest impact on economic growth in member countries, policies that reduce energy consumption without planning to support the growth of the manufacturing sector in these countries, will have disturbing impact on economic growth.
Mohammad Reza Babaei Semiromi; Minoo Nazifi Naeini; Sahar Abbaspour
Volume 4, Issue 14 , May 2014, , Pages 130-113
Abstract
Tourism has a great impact on the economic and social activities and understanding these relationships is useful for a strong contribution to the interaction between sustainable development and tourism. This study investigated the status of tourism in Iran, and then Iranian tourism demand model using ...
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Tourism has a great impact on the economic and social activities and understanding these relationships is useful for a strong contribution to the interaction between sustainable development and tourism. This study investigated the status of tourism in Iran, and then Iranian tourism demand model using neural networks method is studied. In the model input parameters include the number of incoming tourism during 1980 to 2011, the foreign exchange earned from tourism over these years and a dummy variable to investigate the effect of war on tourism demand. The results show that exchange rate is the most important and war is the less important variables in our model. It insists on the need of development plan in this industry.
