تأثیر فناوری اطلاعات و ارتباطات (ICT) بر مصرف انرژی در کشورهای منتخب منطقه منا (رویکرد GMM سیستمی)

نوع مقاله : مقالات پژوهشی

نویسندگان

• محمد علیزاده
• ابوالقاسم گلخندان

دانشگاه لرستان

https://doi.org/10.22067/erd.v22i10.43929

چکیده

هدف اصلی این مقاله بررسی تأثیر فناوری اطلاعات و ارتباطات (ICT) بر مصرف انرژی در کشورهای منتخب منطقه منا طی دوره‌ی زمانی 2011-1995 است. به این منظور از مدل ارائه‌شده توسط سادرسکی (2012) و سه شاخص: تعداد کاربران اینترنت، تعداد خطوط تلفن همراه و تعداد خطوط تلفن ثابت به‌عنوان متغیرهای اندازه‌گیری ICT استفاده شده است. هم‌چنین، با استفاده از روش گشتاورهای تعمیم‌یافته سیستمی (GMM-SYS) کشش‌های کوتاه‌مدت و بلندمدت بین متغیرهای مدل برآورد شده و مورد تجزیه‌و‌تحلیل قرار گرفته است. نتایج نشان می‌دهد که گسترش ICT با هر سه شاخص انداز‌ه‌گیری‌شده، مصرف انرژی سرانه را در کشورهای منتخب منطقه منا در کوتاه‌مدت و بلندمدت افزایش می‌دهد. به‌گونه‌ای که با افزایش یک‌درصدی در این شاخص‌ها، به‌طور متوسط مصرف انرژی سرانه در کوتاه‌مدت و بلندمدت به‌ترتیب 007/0 و 089/0 درصد افزایش می‌یابد.

کلیدواژه‌ها

• فناوری اطلاعات و ارتباطات (ICT)
• مصرف انرژی
• کشورهای منا
• گشتاورهای تعمیم‌یافته سیستمی (GMM-SYS)

عنوان مقاله [English]

The Impact of Information and Communication Technology (ICT) on Energy Consumption in MENA Region Selected Countries (system GMM approach)

نویسندگان [English]

• mohammad alizadeh
• Abolghasem Golkhandan

lorestan

چکیده [English]

The main objective of this paper is to analysis the impact of information and communication technology (ICT) on energy consumption in the MENA region selected countries during the period 1995-2011. For this purpose, used the model presented by Sadorsky (2012) and three indicators that measured ICT: the number of Internet users, the number of mobile lines and the number of telephone lines. Also, estimated and analyzed the short run and long run elasticities between the variables of the model using a system generalized method of moments (GMM-SYS). The results show that the development of ICT with each three measured indices, increased energy consumption per capita in MENA region selected countries in the short run and long run. So that a one percent increases in this indicator, average of energy consumption increases in the short run and long run respectively 0.007 and 0.089 percent.

کلیدواژه‌ها [English]

• information and communication technology (ICT)
• Energy Consumption
• MENA Countries
• system generalized method of moments (GMM-SYS)

مراجع

Anderson, T.W. & Hsiao, C. (1981). "Estimation of dynamic models with error components", Journal of the American Statistical Association, 76, 589-606.

Arellano, M. & Bond, S. (1991). "Some test of specification for panel data: Monte Carlo evidence and application to employment equations", Review of Economic Studies, 58, 277-297.

Arellano, M. & Bover, O. (1995). "Another look at the instrumental variable estimation of error compo net models", Journal of Econometrics, 68, 29-51.

Baltagi, B. (2005). Econometric analysis of panel data, John Wiley & Sons Ltd.

Barratt, R.S. (2006). "Meeting lifelong learning needs by distance teaching - clean technology", J. Cleaner Product, 14, 906–915.

Blundell, R. & Bond, S. (1998). "Initial conditions and moment restrictions in dynamic panel data models", Journal of Econometrics, 87, 115-143.

Bond, R. (2002). "Dynamic panel data model: A guide to micro data methods and practice", The Institute for Fiscal Studies Department of Economics, 1-34.

Cho, Y., Lee, J. & Kim, T. (2007). "The impact of ICT investment and energy price on industrial electricity demand: dynamic growth model approach", Energy Policy, 35, 4730–4738.

Collard, F., Feve, P. & Portier, F. (2005). "Electricity consumption and ICT in the French service sector", Energy Economics, 27(3), 541-550.

European Commission e-Business Watch. (2008). "The implications of ICT for energy consumption", Impact study no.09/2008.

Green, W.H. (2012). Econometric analysis, 7th Ed, New Jersey, Upper Saddle River: Pearson International.

Hilty, L.M. (2008). Information Technology and Sustainability, Books on Demand.

Ishida, H. (2014). "The effect of ICT development on economic growth and energy consumption in Japan", Telematics and Informatics, 1–10.

Hooshmand, M., Daneshnia, M., Sotoodeh, A. & Ghezelbash, A. (2013). "Causality relationship between energy consumption, economic growth and prices: using panel data OPEC member countries", Journal of Monetary and Financial Economics, No. 5, 234-256. (In Persian)

Im, K.S., Pesaran, M.H. & Shin, Y. (2003). "Testing for unit roots in heterogeneous panels", Journal of Econometrics, 115, 53-74.

Kao, C. (1999). "Spurious regression and residual-based tests for cointegration in panel data", Journal of Econometrics, 90, 1- 44.

Mahmoodzadeh, M. & Shahbeyki, H. (2011). "The effects of ICT on energy intensity in developing countries", Journal of New Economy and Commerce, No. 23, 24, 67-88. (In Persian)

Nofersti, M. (2010). Unit root and cointegration in econometric, Resa Publications. (In Persian)

Odhiambo, N.M. (2010). "Energy consumption, prices and economic growth in three SSA countries: a comparative study", Energy Policy, 38, 2463–2469.

Pedroni, P. (2004). "Panel cointegration, asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis", Econometric Theory, No. 3, 597-625.

Romm, J. (2002). "The internet and the new energy economy", Resource, Conservation and Recycling, 36, 197-210.

Sadorsky, P. (2012). "Information communication technology and electricity consumption in emerging economies", Energy Policy, 48, 130–136.

Takase, K. & Murota, Y. (2004). "The impact of IT investment on energy: Japan and US comparison in 2010", Energy Policy, 32(11), 1291–1301.

Tayebi, S., Hajikarami, M. & Sariri. H. (2011). "The effect of financial and trade openness on financial development: evidence from Iran and its trade partners (1996-2009) ", Journal of Economic Research (Rahe Andisheh), No. 4, 39- 60. (In Persian)

Toffel, M.W. & Horvath, A. (2004). "Environmental implications of wireless technologies: News delivery and business meetings", Environ. Sci. Technol, 38, 2961–2970.

Wakelin, O. & Shadrach , B.. (2001). "Impact assessment of appropriate and innovative technologies in enterprise development", (www.enterprise-impact.org.uk/pdf/ICTs.pdf).

http://www.itu.int/ict/statistics