عوامل اثرگذار بر شدت انرژی در استان‌های کشور با تاکید بر پیوندهای فضایی

نوع مقاله : علمی - پژوهشی

نویسندگان

1 استادیار اقتصاد دانشکده اقتصاد خوارزمی تهران

2 دانش‌آموخته کارشناسی ارشد مهندسی سیستم‌های اقتصادی و اجتماعی، دانشکده اقتصاد دانشگاه خوارزمی

چکیده

امروزه میزان مصرف انرژی برای کارشناسان و ناظران اقتصادی یکی از مؤلفه‌های ارزیابی عملکرد کشورها و دولت‌هاست و شدت انرژی یکی از شاخص‌های بررسی کارایی مصرف انرژی تلقی می‌شود. هدف اصلی این پژوهش، بررسی برخی عوامل اثرگذار بر شدت انرژی از جمله تولید ناخالص داخلی سرانه، صنعتی شدن و زیرساخت‌های حمل‌و‌نقل است که با در نظر گرفتن پیوندهای فضایی بین مناطق (استان‌های) کشور در طی دوره زمانی ۱۳۸۷ تا ۱۳۹۲ تحلیل شده است. برای این منظور، روش اقتصاد سنجی پانل فضایی برای برآورد مدل به کار رفت. نتایج مدل خودرگرسیو فضایی با خطای فضایی (SAC) نشان داد شدت انرژی در ایران تحت تأثیر عامل فضایی بوده و میزان آن علاوه بر عوامل داخلی یک استان، به شدت انرژی استان‌های مجاور نیز وابسته است. به عبارت دیگر، هرگونه شوک خارجی وارد شده بر یک استان به کاهش شدت انرژی در استان‌های همسایه منجر می‌شود. همچنین بر اساس نتایج، تولید ناخالص داخلی سرانه دارای اثر منفی و معنادار و متغیرهای صنعتی شدن و زیرساخت‌های حمل‌ونقل دارای اثر مثبت و معنادار بر شدت انرژی در استان‌های ایران است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The Influential Factors of Energy Intensity in Iran’s Provinces with emphasis on Spatial Linkages

نویسندگان [English]

  • Siab Mamipour 1
  • Somayeh Karami 2
1 Assistant prof of Economics, Kharazmi university
2 MSc Student of Economic and Social Systems, Kharazmi University, Economic Department, Tehran, Iran
چکیده [English]

Todays, energy consumption for experts and economists is one of the components of the performance evaluation of governments and countries, and energy intensity is considered as one of the indicators for assessing energy efficiency. The main purpose of this paper is to study some of the influential factors of energy intensity, such as GDP per capita, industrialization and transportation infrastructure which has been studied considering the spatial links between the provinces during the period from 2008 to 2014. For this purpose, the spatial panel econometric method has been used to estimate the model. The results of Spatial Autoregressive Model with Auto Regressive disturbances (SAC) show that the energy intensity was influenced by the spatial factor in Iran. So, the energy intensity in a province is not only influenced by the internal factors of the province but is also influenced by the energy intensity of the adjacent province. In other words, any external shock to a province will lead to a reduction in energy intensity in adjacent provinces. Also, the results show that GDP per capita has a negative and significant effect and industrialization and transport infrastructure variables have a positive and significant effect on energy intensity in Iran's provinces.

کلیدواژه‌ها [English]

  • Energy Intensity
  • Adjacency
  • Spatial Panel
  • Spatial Autoregressive Model with Auto Regressive disturbances (SAC)
  • Iran's provinces
Adhikari, D., & Chen, Y. (2014). “Energy productivity convergence in Asian countries: A spatial panel data approach”. International Journal of Economics and Finance, 6(7), 94. [DOI:10.5539/ijef.v6n7p94]
Akbari, N., & Farahmand, Sh. (2005). “Economic convergence of Islamic countries and regional overflows considering a number of countries in Persian Gulf region: An econometric study”. Iranian Journal of Trade Studies, 34, 1-32. https://www.sid.ir/fa/journal/ViewPaper.aspx?ID=14489 (Persain)
Alahverdi, A., & Pourhatami, Z. (2015). “Analyzing the impact of city-dwelling and industrialization on the energy consumption in Iran”. In The second international conference on new studies in management, economics, and accounting. Malaysia. https://www.sid.ir/fa/seminar/ViewPaper.aspx?id=62897 (Persain)
Babazadeh, M., Ghadimi, Kh., & Mohseni, R. (2009). “The impact of investment in the transportation system on the economic growth in Iran”. Journal of Trade Studies, 50, 157-199. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=95281
Bahmani, M., Jamshidnezhad, A., & Ansari Lari, M. (2014). “Analyzing the factors related to energy consumption of houses in the provinces of Iran”. Quarterly Journal of Energy Economics Review, 10(42), 161-181. http://iiesj.ir/article-1-176-fa.html (Persain)
Baumann, F. (2008). “Energy Security as Multidimensional Concept”. Center for Applied Policy Research (CAP), Research Group on European Affairs, no. 1, March, p. 6. Retrievd from: https://www.ssoar.info/ssoar/handle/document/19624
Belotti, F., Hughes, G., & Mortari, A. P. (2013). “Xsmle: a Stata command for spatial panel-data models estimation”. In Italian Stata Users’ Group Meetings 2013 (no. 04). Stata Users Group. Retrievd from: https://ideas.repec.org/p/boc/dsug13/09.html
Chousa, J. P., Tamazian, A., & Vadlamannati, K. C. (2008). “Rapid Economic Growth at the Cost of Environment Degradation? Panel Data Evidience from BRIC Economies”. Retrievd from: https://deepblue.lib.umich.edu/handle/2027.42/64409
Destais, G., Fouquau, J., & Hurlin, C. (2007). “Economic development and energy intensity: A panel data analysis”. In The Econometrics of Energy Systems (pp. 98-120). Palgrave Macmillan, London. Retrievd from: https://link.springer.com/chapter/10.1057/9780230626317_5
Elhorst, J. P. (2014). “Spatial panel data models”. In Spatial econometrics (pp. 37-93). Springer, Berlin, Heidelberg. Retrievd from: https://link.springer.com/chapter/10.1007/978-3-642-40340-8_3
Emadzadeh, M., Sharifi, A., Dalali Esfahani, R., & Safdari, M. (2003). “Analyzing the trend of energy consumption in OECD countries”. Iranian Journal of Trade Studies, 28, 95-118. https://www.sid.ir/fa/journal/ViewPaper.aspx?ID=3861 (Persain)
Farajzadeh, Z. (2015). “Energy intensity in the economy of Iran: factors and determinants”. Journal of Iranian Energy Economics, 4(15), 43-86. https://www.sid.ir/fa/Journal/ViewPaper.aspx?id=356376 (Persain)
Farajzadeh, Z., & Nematollahi, M. A. (2018). “Energy intensity and its components in Iran: Determinants and trends”. Energy Economics, in Press. [DOI: 10.1016/j.eneco.2018.05.021]
Goli, Z., & Ashrafi, Y. (2010). “Analyzing the energy Intensity in Iran and investigating it based on Fischer index”. Quarterly Journal of Economic Research and Policies, 18(54), 35-54. http://qjerp.ir/article-1-236-fa.html (Persain)
Hezareh, R., Shayanmehr, S., Darbandi, E., & Schieffer, J. (2017). “Energy Consumption and Environmental Pollution: Evidence from the Spatial Panel Simultaneous-Equations Model of Developing Countries”. In 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama (no. 252818). Southern Agricultural Economics Association. [DOI: 10.22004/ag.econ.252818]
Huang, J., Du, D., & Hao, Y. (2017). “The driving forces of the change in China’s energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations”. Economic Modelling, 65, 41-50. [DOI: 10.1016/j.econmod.2017.04.027] 
Jiang, L., & Ji, M. (2016). “China’s energy intensity, determinants and spatial effects”. Sustainability, 8(6), 544. [DOI:10.3390/su8060544]
Jiang, L., Folmer, H., & Ji, M. (2014). “The drivers of energy intensity in China: A spatial panel data approach”. China Economic Review, 31, 351-360. [DOI: 10.1016/j.chieco.2014.10.003]
Jiang, L., Folmer, H., Ji, M., & Zhou, P. (2018). “Revisiting cross-province energy intensity convergence in China: A spatial panel analysis”. Energy Policy, 121, 252-263. [DOI:10.1016/j.enpol.2018.06.043] 
Khorsandi, M., & Azizi, Z. (2012). “The impact of energy consumption and consideration on the economic growth: Smooth transition of non-linear regression”. Journal of Environmental and Natural Resource Economics, 1(3), 17-34. http://jiee.atu.ac.ir/article_2598_0.html (Persain)
Lee, J., & Wong, D. W. (2001). “Statistical analysis with ArcView GIS”. John Wiley & Sons. Retrievd from: https://www.worldcat.org/title/statistical-analysis-with-arcview-gis/oclc/43913193
Mahmoudpour, K., Soleymani, M., & Sistani Bedouyi, Y. (2016). “The impact of targeted subsidies on energy intensity in the industry of Iran”. Quarterly Journal of Macro and Strategic Policies, 4(14), 91-124 http://www.jmsp.ir/article_12408.html (Persain)
Manzour, D., & Niakan, L. (2014). “The relationship between economic growth and energy intensity in ECO countries: Panel smooth threshold regression model”. Quarterly Journal of Economic Research and Policies, 69, 83-106. https://www.sid.ir/fa/journal/ViewPaper.aspx?ID=228621 (Persain)
Mazrati, M., & Motavaseli, M. (1999). “Political analysis of energy carrier need in Iran”. The Journal of Planning and Budgeting, 43-44, 29-76. https://www.sid.ir/fa/Journal/ViewPaper.aspx?ID=38188 (Persain)
Mobley, L. R., Frech Iii, H. E., & Anselin, L. (2009). “Spatial interaction, spatial multipliers and hospital competition”. International Journal of the Economics of Business, 16(1), 1-17. [DOI: 10.1080/13571510802638908]
Naji Meydani, A., Mahdavi Adeli, M., & Arabshahi Dalavi, M. (2015). “Analyzing the relationship between industrialization and the productivity of energy in the industry of Iran”. The Journal of Economic Policy, 7(13), 27-56. (Persain)
Sadorsky, P. (2013). “Do urbanization and industrialization affect energy intensity in developing countries?”. Energy Economics, 37, 52-59. [DOI: 10.1016/j.eneco.2013.01.009]
Seyf, A., & Hamidi Rozi, D. (2017). “Factors influencing the energy consumption index in some provinces in Iran: Spatial dynamic panel data approach”. Quarterly Journal of Energy Economic Review, 53, 61-103. http://iiesj.ir/article-1-774-fa.html (Persain)
Statistics Center of Iran. Annual Statistics of 2008 to 2013. Retrievd from: https://www.amar.org.ir/ (Persain)
Yu, H. (2012). “The influential factors of China’s regional energy intensity and its spatial linkages: 1988-2007”. Energy Policy, 45, 583-593. [DOI: 10.1016/j.enpol.2012.03.009]