Reform of energy prices, energy intensity and technology: A case study of Iran (ARDL approach)

Barkhordari, Sajjad; Fattahi, Maryam

doi:10.1016/j.esr.2017.09.004

Cited by 36 publications

(8 citation statements)

References 19 publications

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“…Referring to the United Nations Environment Program in 2016, households consume 40% of the primary energy (i.e., based on natural resources) in the world; hence, they are responsible for one-third of related global greenhouse gas (GHG) emissions [3,4]. In addition, energy as a determinant factor for the growing Iranian economy is mainly derived from natural resources [5]. Comparing the energy consumption from 2010-2013, it was observed that the average rate of energy use in Iran is about 169 kg of oil (equivalent to per 1000 United States dollars (USD) gross domestic product (GDP)), while this rate in the world is 133.85 kg of oil.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Variation in Household Energy Choice and Consumption: Case from Mahabad City, Iran

et al. 2019

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This study seeks to find a method to identify the dominant pattern of energy choice and consumption in households, centering on demographic factors affecting the use of home appliances. To this aim, this study dealt with a variety of energy sources widely used by households, namely, liquefied petroleum gas (LPG), electricity, and kerosene for cooking, heating and cooling, lighting, and home appliances. Additionally, significant associations for the household energy choice and consumption were identified for demographic variables including household size, gender, head-of-household age, educational level, and income group. A logistic regression analysis was performed to obtain quantitative data provided by a survey from 821 households across residential districts of urban and rural areas in Mahabad city, northwest Iran. Obtained data were analyzed within a proposed three-energy dimension model (3-ED). The results showed that, in the case of other variables remaining constant, income may lead to variation in LPG and electricity consumption. Unlike other independent variables, the head-of-household age failed to have a significant impact. The findings can contribute to a better understanding of effective factors got household energy choice and consumption in other cities, and they can be useful for the support of policy-makers in their consumption patterns.

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Section: Introductionmentioning

confidence: 99%

Determinants of Variation in Household Energy Choice and Consumption: Case from Mahabad City, Iran

et al. 2019

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“…The optimal lag is selected using the renowned Akaike information criterion (AIC) because AIC has exclusive power to estimate the lag-length for small samples (Shahbaz et al, 2018) compared to other criteria. If the calculated F-statistics is higher than the upper bound at 1%, 5% and10% level of significance the existence of cointegration is proved (Barkhordari and Fattahi, 2017) and the null hypothesis is rejected to accept the alternative hypothesis of the existence of cointegration. The existence of a long-run relationship can be revealed by joint F-Statistics or Wald statistic.…”

Section: Whereasmentioning

confidence: 97%

Causal Relationship between Economic Growth, Financial Deepening, Foreign Direct Investment and Innovation: Evidence from China

Islam

Liu

Khan

et al. 2018

Asian Economic and Financial Review

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This research examines the cointegration and causal relationship between economic growth, financial deepening, foreign direct investment and innovation in the context of China. The empirical results of the ARDL Bounds test to cointegration and VECM Granger causality validate the cointegration and causal association among variables. The study offers policy implication to bring more depth to the financial system to elevate potential innovative environment through FDI. Moreover, to boost real growth through the creation of spillover effects and to enrich the absorptive capacity, the policymakers need to pay attention to financial institutions access, depth and efficiency.Contribution/Originality: This study contributes in the existing literature by integrating FDI and innovation in finance-growth relationship and by analyzing the depth, access and efficiency of financial institutions and markets using the -New Broad-based Index of Financial Development‖. More importantly, the paper has identified the weaker subsector and suggested more concentration.

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“…Finally, the absence of a relationship between the intensity of energy and foreign direct investment is proved. Barkhordari and Fattahi (2017) found that energy prices, in the long run, affect the intensity of energy, and technological changes have a beneficial effect on the intensity of energy. Adom (2018) concluded that trade openness leads to a decrease in the intensity of energy, while democracy leads to an increase in the intensity of energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy intensity determinants based on structure-oriented cointegration by embedding a knowledge box in a time series model: evidence from Iran

Esmaeili

Rafei

2021

Environ Sci Pollut Res

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Energy intensity reduction is an exigent issue for Iran, where energy consumption is so high. Therefore, finding effective policies to reduce energy intensity is important. With this in mind, the impact of financial development, government investment, oil revenues, and trade openness on energy intensity is assessed in this study. We combined Structural Vector Error Correction Model (SVECM) and Directed Acyclic Graphs (DAG) technique to examine the relationships between study variables. The results of DAG prove that financial development, government investment, oil revenues, and trade openness influence the intensity of energy. Besides, the significant and long-run relationships among variables allowed us to apply SVECM. Impulse response functions and variance decomposition analysis indicate that government investment, oil revenues, and trade openness are negatively associated with the intensity of energy. Also, financial development positively influences energy intensity. Meanwhile, the impact of government investment is greater than oil revenues, trade openness, and financial development impacts. So, Government investment is the most effective policy regarding optimizing the consumption of energy and reducing energy intensity.We also advise policymakers to use oil revenues to increase government investment, enhancing the level of trade openness, and tax to the private sector to improve the level of energy intensity.

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Reform of energy prices, energy intensity and technology: A case study of Iran (ARDL approach)

Cited by 36 publications

References 19 publications

Determinants of Variation in Household Energy Choice and Consumption: Case from Mahabad City, Iran

Determinants of Variation in Household Energy Choice and Consumption: Case from Mahabad City, Iran

Causal Relationship between Economic Growth, Financial Deepening, Foreign Direct Investment and Innovation: Evidence from China

Energy intensity determinants based on structure-oriented cointegration by embedding a knowledge box in a time series model: evidence from Iran

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