Inequalities in Regional Level Domestic CO 2 Emissions and Energy Use: A Case Study of Iran

Behnam Ata, Parisa Pakrooh, Ayoub Barkat, Ramzi Benhizia and János Pénzes
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Behnam Ata: Department of Social Geography and Regional Development, University of Debrecen, H-4023 Debrecen, Hungary
Parisa Pakrooh: Department of Agricultural Economics Engineering, University of Tabriz, Tabriz 5166616471, Iran
Ayoub Barkat: Department of Landscape Protection and Environmental Geography, University of Debrecen, H-4032 Debrecen, Hungary
Ramzi Benhizia: Department of Landscape Protection and Environmental Geography, University of Debrecen, H-4032 Debrecen, Hungary
János Pénzes: Department of Social Geography and Regional Development, University of Debrecen, H-4023 Debrecen, Hungary

Energies, 2022, vol. 15, issue 11, 1-26

Abstract: An increasing amount of CO 2 emissions from the household sector of Iran led us to analyze the inequality and understand the possible driving force behind the CO 2 emissions. The study of inequality provides information to policy-makers to point policies in the right direction. By considering the differences in the socio-economic factors of provinces, the study aims to analyze the inequality in CO 2 emissions and different kinds of energy consumption, including oil, gas and electricity, for the household sector of Iran’s provinces between 2000 and 2017. For this aim, the Theil index and Kaya factor, as a simple and common method, were considered to evaluate the inequality in both CO 2 emissions and energy consumption, and determine the driving factor behind CO 2 emissions. According to the results, inequality in oil and natural gas consumption were increasing, electricity was almost constant; however, CO 2 emissions experienced a decreasing trend for the study period. The Theil index changed from 0.4 to 0.65 for oil, from 0.18 to 0.22 for natural gas, from 0.17 to 0.15 for electricity, and from 0.2 to 0.14 for CO 2 emissions between 2001 and 2017. In addition, the results of the inequality study indicated that most of the inequalities belong to within-group inequalities in energy consumption and CO 2 emissions. The results of the Kaya factor indicate that the second factor, energy efficiency, with a 0.21 value was the main driving factor of inequalities in CO 2 emissions; however, the first factor, energy consumption, can be a potential factor for inequality in the following years, as it increased from 0.00 to 0.11 between 2001 and 2017. It seems that by removing the energy subsidy policy in 2010 and 2013, low-standard and energy-wasting old vehicles were the most effective factors of energy inefficiency in the household sector, which need more accurate policy-making.

Keywords: CO 2; energy; household; inequality; Kaya; Theil (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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