Investigating changes in the scale of natural gas subsidies in the major sector of the Iranian economy and its factors analysis | ||
| فصلنامه علمی پژوهش های اقتصاد صنعتی | ||
| Volume 3, Issue 10, March 2020, Pages 55-73 PDF (1.44 M) | ||
| Document Type: applicative | ||
| DOI: 10.30473/indeco.2020.7021 | ||
| Authors | ||
| zeinolabedin sadeghi* 1; Seyed Abdolmajid Jalaei2; hanieh amin1 | ||
| 1Department of Economics, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| 2Professor of Economics in Shahid Bahonar University of Kerman, Kerman, Iran | ||
| Abstract | ||
| this reason, one of the most energy consuming carriers in Iran is natural gas. Increasing attention to environmental issues and efforts to reduce pollutant emissions cause an increase in consumption and therefore an increase in subsidies for this energy carrier since 2000. Therefore, careful management and planning in the field of energy supply and demand, especially the discussion of gas subsidies, which have witnessed many changes in recent years and reform of the existing structure, are necessary. In this regard, the present study aimed at analyzing the changes in the natural gas subsidy scale and its factor analysis in Iran, using four indices of LMDI-I analysis and natural gas subsidy changes in four years from 2009 to2015. The effect has been broken down by time chains. results show that in different sectors of Iranian economy the effect of competitive price of natural gas has the greatest effect and the effect of natural gas pricing mechanism has had the least effect on the changes of the natural gas subsidy scale. Indicates the impact of different sectors of the Iranian economy on regional and international prices and the small impact of the project. The purpose of subsidies in this area is generally to determine the effect of decomposing factors on the changes in the natural gas subsidy scale: Competitive Price Effect, Consumption Effect, Consumption Structure Effect and, finally, Pricing Mechanism Effect. | ||
| Keywords | ||
| Natural Gas Subsidy; Subsidy Scale; Pricing Modification; Logarithmic Mean Divisia Index | ||
| References | ||
|
اکبری، نعمتالله؛ طالبی، هوشنگ و اعظم جلایی (1393)، "تأثیر قانون هدفمندسازی یارانهها بر مصرف انرژی خانوار (مطالعه موردی: شهر اصفهان)"، پژوهشنامه اقتصاد انرژی ایران. شماره11، سال سوم، تابستان، صص 66-29. قادری، فرید؛ رزمی، جعفر و عسکر صادقی (1384). "بررسی تأثیر یارانه مستقیم انرژی بر شاخصهای کلان اقتصادی، با نگرش سیستمی". نشریه دانشکده فنی، جلد 39، شماره4، صص 537-527 محمدی، تیمور؛ قاسمی، عبدالرسول و امیر نکونام (۱۳۹۷). "واکنش قیمت گاز طبیعی نسبت به تغییرات قیمت نفت خام در بازار منطقهای اروپا و آسیا: رهیافت انتقال رژیم مارکف برداری". اقتصاد انرژی ایران (اقتصاد محیط زیست و انرژی)، 7(27)، صص ٣٠-١. Ang B.W., Bin Su and H. Wang (2016). "A Spatial–Temporal Decomposition Approach to Performance Assessment in Energy and Emissions". Energy Economics. No.60, pp. 112-121 Ang B.W. (2005). “The LMDI Approach to Decomposition Analysis: a Practical Guide”. Energ Policy 33 (7), pp. 867–871. Ang B.W. and X.Y. Xu (2014). “Multilevel Index Decomposition Analysis: Approaches and Application”. Energy Economics. No.44, pp.375–382. Ang B.W. (2004). “Decomposition Analysis for Policymaking in Energy: which is the Preferredmethod?”. Journal of Energy Policy. No. 32, pp. 1131–1139. Bu Y., Bai J.H. and Q.B. Shi (2020). “Spatial Pattern and Driving Factors for Interprovincial Natural Gas Consumption in China: Based on SNA and LMDI”. Journal of Cleaner Production, 121392. Hammonda G.P. and J.B. Norman (2011). Decomposition Analysis of Energy-Related Carbon Emissions from UK Manufacturing. Energy (In Press). http://www.mgtsolution.com/olib/752149908.aspx Lin B. and Z. Li (2020). “Analysis of the natural gas demand and subsidy in China: A multi-sectoral perspective”. Energy, 117786. Su B. and B.W. Ang (2011). “Stractural Decomposition Analysis Applied to Energy and Emission: Aggregation Issues”. Economic Systems Research, 24(3), pp. 299-317. Wang T. and B. Lin (2014). "China's Natural Gas Consumption and Subsidies-From a Sector Perspective". Energy Policy, Vol. 65, Issue.G, pp.541-551. Zhao H., Tan L., Zhang W., Ji M., Liu Y. and L. Yu (2010). “Decomposing the Influencing Factors of Industrial Carbon Emissions in Shanghai Using the LMDI Method”. Energy, No 35, pp.2505–2510. Zhao X., Zhang X. and S. Shao (2016). “Decoupling CO2 Emissions and Industrial Growth in China over 1993–2013: the role of investment”. Energy Econ. No. 60, pp.275–292.
| ||
|
Statistics Article View: 800 PDF Download: 600 |
||