Document Type : Research Paper

Authors

• Aghdas Ghomsheh ¹
• Shahram Fattahi ²

¹ Assistant Professor of Economics, Razi University

² Associate Professor of Economics, Razi University

Abstract

Parallel to the growth of the world population and the need to ensure food security, the increase in production activities has been associated with adverse environmental consequences such as climate change, global warming, and acid rain. Therefore, it is necessary to analyze these effects based on economic-environmental theories. Based on this, the efficiency models can be modified with the simultaneous presence of good and bad output. In this study, the operational efficiency and environmental efficiency of Iran's provinces were evaluated during the years 2013-2018 with the presence of eight pollutants (NOX، SO2 SO3، CO، SPM، CO2، CH4 and N2 O) and using data envelopment analysis. The results showed that in the first region, the provinces of Alborz, Bushehr, Khorasan-Razavi, Khuzestan, Sistan and Baluchistan, Qom, Kohgiluyeh and Boyer-Ahmad and Hormozgan have always had high operational and environmental efficiency. In the second region, environmental efficiency was not higher than operational efficiency for any province. In the third region and in most of the studied years, operational efficiency of Ilam and Tehran provinces was higher than their environmental efficiency. The highest frequency of provinces was always seen in the fourth region. The lowest level of environmental efficiency in terms of the emission of all pollutants was always related to Yazd province. The lowest level of environmental efficiency in terms of the emission of all pollutants was always related to Yazd province. The lowest level of environmental efficiency in terms of emission of various pollutants was evaluated mainly for CO2 and SO3. In general, the average operational efficiency of the provinces was higher than their average environmental efficiency.

Keywords

• Environmental Efficiency
• Operational Efficiency
• Greenhouse Gas
• Energy Carriers
• Data Envelopment Analysis Method

Main Subjects

• Environmental, Resource and Energy Economics