توسعه مالی
hossein fathizadeh; masooud nonejad; Ali Haghighat; abbas aminifard
Abstract
This study investigates the relationship between economic growth, energy intensity and financial development in the agricultural, industry and mining and services sectors of the Iranian economy. For this purpose, annual time series data of the sectors during the period from 1974 to 2016 were used. ...
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This study investigates the relationship between economic growth, energy intensity and financial development in the agricultural, industry and mining and services sectors of the Iranian economy. For this purpose, annual time series data of the sectors during the period from 1974 to 2016 were used. To analyze the relationships, Autoregressive Distributed Lags (ARDL) and Structural Vector Autoregressive (SVAR) methods were used. The results of the long-run relationship of the ARDL model show that the impact of energy intensity on the economic growth of industry and mining, and services sectors is negative and significant and positive and significant in agriculture sector. The effect of financial development on economic growth in agriculture sector and industry and mining sector is positive and significant, while despite the positive impact of financial development on economic growth in services sector, the coefficient of this variable is not statistically significant. Furthermore, based on the results of variance decomposition in SVAR model, energy intensity growth and financial development growth have had a large share of economic growth fluctuations in different sectors of Iranian economy. Similarly, economic growth and financial development have also played a significant part in the energy intensity fluctuations of the sectors. Finally, energy intensity has the largest share of fluctuations in financial development in industry sector, while the economic growth has also played a considerable part in the fluctuations of financial development in the services sector.
s
Zahra Sharif; Masoud Nonejad; Ali Haghighat; Mehrzad Ebrahimi
Abstract
The fundamental question of this study is whether the variables that generally lead to increase in the general price level of goods and services in an economy over a period of time can reduce the prices level with the same intensity and during the same time period? To answer this question, according ...
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The fundamental question of this study is whether the variables that generally lead to increase in the general price level of goods and services in an economy over a period of time can reduce the prices level with the same intensity and during the same time period? To answer this question, according to the stylized facts and evidence of Iran’s economy, the results of the most important studies available, and the accurate official statistics, we investigate the main economic factors affecting the inflation in Iran. In this regard, using monthly time series data of economic factors (which include the liquidity, GDP, Iran's crude oil prices, and openness) over the period from November 2008 to October 2018, an error correction model based on hidden cointegration approach, CECM (Crouching Error Correction Model), has been used to differentiate between the asymmetric behaviour of variables through decomposing the variables into positive and negative components to distinguish the accurate relationships between the variables when they increase and decrease. The results of this study, while confirming the existence of the significant asymmetric relationships between the economic factors and inflation, emphasised on the incomplete pass-through of all of the factors mentioned above into the inflation rate. Furthermore, these results have confirmed the crucial role of the liquidity and real GDP in comparison to the other research variables to control the inflation rate. The results also highlighted that the period of returning the inflation rate to its long-run equilibrium would be significantly different if the policy of increase or decrease in each of the economic factors occurs; consequently, this issue should be taken into account in inflation-targeting policies.
