Volume 8, Issue 27 (3-2017)                   jemr 2017, 8(27): 123-175 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sadeghi M, Khoshkhooy M. Comparative Analysis of the Economic Factors and Technical Factors in Improving Energy Efficiency in the Iranian Household Sector. jemr 2017; 8 (27) :123-175
URL: http://jemr.khu.ac.ir/article-1-1239-en.html
Comparative Analysis of the Economic Factors and Technical Factors in Improving Energy Efficiency in the Iranian Household Sector
Mahdi Sadeghi , Mahdi Khoshkhooy * 1
1- , khoshkhooy@gmail.com
Abstract:   (8866 Views)

Today one of the basic conditions for economic development in one country, is the high performance of energy sources used in different sections of the country economy. When the efficiency is raised, one of essential requirements is benefit from technologies and equipments with higher technical and performance specifications, and removing economic barriers or improving economic policies, in order to achieve as higher efficiency as possible in energy consumption. Considering that close to half of the our country energy consumption accounted for households and this sector is the largest consumer of energy in the country, and considering the importance of the issue of energy consumption, in this study we decided to analyze and scrutiny the phenomenon of energy efficiency in the household sector, and to achieve accurate and scientific analysis in this area based on expert opinion data, using structural equations modeling technique in LISREL. Based on the result of the model, economic policies (price and none price) has relatively more importance than the technical and technological solutions to the problem of improving energy efficiency in the household sector, as well as important and effective indices of each of these factors are extracted and identified. According to it, "levy a tax on energy consumption" among economic policies, and indicators of "e-government infrastructure development", "development of smart counters and Equipments WARNING energy consumption in homes" and "development of vernacular architecture patterns adapted to climatic conditions in different regions of the country" in connection with Technical foctors, have the greatest impact on energy efficiency in the mentioned sector. However, if the relationship identified for both the economic policies and technical-technological factors with the dependent variable "performance" was not acceptable very good, this matter can indicate this fact that there are other variables and factors that are influencing and can have a great role to play. Among these factors it can be addressed the socio-cultural factors and insights and norms of society which can be a help to aggravate the problem of inefficiency in energy use.

Keywords: Economic Factors, Technical Factors, Energy Efficiency, Residential Sector, LISREL Techniques, Confirmatory Factor Analysis, Structural Equation Modeling.
Full-Text [PDF 2683 kb]   (7540 Downloads)    
Type of Study: Applicable | Subject: انرژی، منابع و محیط زیست
Received: 2015/05/2 | Accepted: 2017/01/3 | Published: 2017/05/17
References
1.  Amirmoieni, Mehran. Energy savings: price or nonprice policies. Series of subsidy economy lectures. Tehran. Faculty of Islamic Studies and Economics. University of Imam Sadeq (AS). 1386. pp. 554-541.
2.  Amini, M. Toolayi, R. Amini, A. Social strategies as non-precious alternatives in solving the problem of energy consumption pattern reform in the country. Journal of social issues discussion in Iran. The first year, the second number, the summer of 1389.
3.  A review of 25 years of the country's energy statistics, the Ministry of Energy, 1394.
4.  Affairs of Power and Energy, Office of Electricity and Energy macro planning, 1392.
5.  Bazargan, Abbas. Research methods in behavioral sciences. Agah Publication. Tehran. 1376.
6.  Baghaei, H. Ghahremanifard, K. Globalization, consumerism and the role of education in reforming of consumption patterns. Journal of cultural engineering. Forth year. Number 37 and 38 February, and March 1388. pp. 65-55.
7.  Brace, Ian, Questionnaire design: how to plan, structure and write survey material for effective market research, market research in practice, Second edition, 2008.
8.  Cliene, P. Easy Guide for factor analysis. Sayyid Jalal Sadrossadat and Asghar Minaei. Samt Press. First Edition. Tehran. 1380.
9.  Cundiff, E.W. Fundamentals of Modern Marketing, (New‌York: Prentice Hall, 1973).
10.  Elahi dehghi, Iraj; Analysis of urban household energy demand in Iran; Master's Thesis of Faculty of Economics; Tehran. University of Imam Sadeq (AS). Mordad 1371.
11.  Energy balance sheets for 1391 and earlier, the Ministry of Energy.
12.  Estiri, Hossein. Building and household X-factors and energy consumption at the residential sector: A structural equation analysis of the effects of household and building characteristics on the annual energy consumption of US residential buildings. Energy Economics 43 (2014). Pp. 178–184.
13.  Falissard, Bruno, Analysis of Questionnaire Data with R, Taylor & Francis Group, 2012.
14.  Foddy, William H. (William Henry). Constructing questions for interviews and questionnaires: theory and practice in social research. Cambridge University Press, 2003.
15.  Garver, M. S. and Mentzer, J.T. Logistics research methods: Employing structural equation modeling to test for construct validity, Journal of Business Logistics, 20, 1, 1999, pp. 33-57.
16.  Gholizade, A. barati, J. The analysis of the factors influencing household energy consumption and electricity consumption of households in Iran: With the emphasis on energy efficiency. Novin Quarterly Journal of Economics and Business, Issue 25. Summer 1390.
17.  Habibi, Arash. Practical training of LISREL software, structural equation modeling and factor analysis [on line]. Winter of 1391: https://www.parsmodir.com
18.  Habibi, Arash. Practical training of SPSS software [on line]. Fall 1392: https://www.parsmodir.com
19.  Henderson, J.M & Quandt, E.R. "Microeconomic Theory: A Mathematical Approach". Mc Graw – Hill, 1985.
20.  HOE, Siu. Loon, Issues and procedures in adopting structural equation modeling technique, journal of applied quantitative methods, vol 3, no 1, 2008, pp 76-83.
21.  Hoelter, D. R. The analysis of covariance structures: Goodness-of-fit indices, Sociological Methods and Research, 11, 1983, pp. 325-344.
22.  Human, Heydarali. Structural equation modeling using LISREL software, 1384, Samt Publications.
23.  Human, Heydarali. Multivariate data analysis in behavioral research. Peykefarhang publication. 2th edition. Tehran. 1385.
24.  Isarinia, Mahdi; Employment effects resulting from energy consumption optimization in the household sector using input-output model; Master's Thesis. Faculty of Economics. University of Imam Sadeq (AS). Summer of 1388.
25.  Jackson, D.L. (2003). "Revisiting sample size and number of parameter estimates: Some support for the N: q hypothesis". Structural Equation Modeling, 10: 128–141.
26.  Khaki, Gholamreza. Research Methodology with the approach to the dissertation. Baztab Publications. Tehran. 1384.
27.  Kline, R.B. Principles and practice of structural equation modeling (3rded.). New York: Guilford Press. (2010).
28.  Kline, R. B. Principles and Practice of Structural Equation Modeling, New York, Guilford Press, 1998.
29.  Liu, H. T., Guo, J. E., Qian, D., & Xi, Y. M. (2009). Comprehensive evaluation of household in direct energy consumption and impacts of alternative energy policies in China by input-output analysis. Energy Policy, 37, pp. 3194-3204. [DOI:10.1016/j.enpol.2009.04.016]
31.  Masoodi, Hamid. LISREL training in a few minutes [on line]. Mashhad. 1391: www.Hamidmassoudi.com
32.  Moosavi saadatabadi, Seyyed M; Investigation of Factors Affecting consumption optimization of electric energy in Sirjan Special Economic Zone; Faculty of Management at Azad University of Tehran. Bahman 1390.
33.  Mas – Collel, Andrew & Whinston, Micheal. D & Green, Jerry. R. "Microeconomic Theory". Oxford University Press, 1995.
34.  McQuitty, S. Statistical power and structural equation models in business research, Journal of Business Research, 57, 2, 2004, pp. 175-183.
35.  Mekhilef, S. Saidur, R. Said, S. M. Hong, P. H. and Islam, M. R. Techno-economic evaluation of energy efficiency measures in high rise residential buildings in Malaysia. Clean Techn Environ Policy (2014) 16:23–35.
36.  Najmi, Ali. Shakouri G. Hamed and Keramati, Abbas. Energy consumption in the residential sector: a study on critical factors. International Journal of Sustainable Energy, 2014.
37.  Productivity and energy intensity in Iran and world, department of studies and economic policies of the Central Bank of Islamic Republic of Iran.
38.  Presser, Stanley ... [et al.]. Methods for Testing and Evaluating Survey Questionnaires, John Wiley & Sons, Inc.2004.
39.  Saris. Willem E. Design, evaulation, and analysis of questionnaires for survey research, John Wiley & Sons, Inc. 2007.
40.  Sadeghi shahdani, M. khoshkhooy, M. The analysis of social institutions and resources affecting the improvement of consumer behavior of urban households (case study of the behavior of energy consumption). Quarterly Journal of economic planning and urban management. Number 9. Tehran. Winter 1393.
41.  Sattari ghahfarkhi, Mojtaba; Modeling the effects of nonprice policy of energy consumption pattern reform on macroeconomic variables using computable general equilibrium (CGE); Master's Thesis. Faculty of Economics. University of Imam Sadeq (AS). 1389.
42.  Shahhoseini, A. Rezayi, Z. An Analysis of the indicators of reforming consumption patterns in Iran. Cultural and social research group. Number 72. Summer 1390. pp. 106-87.
43.  Shah, R., & Goldstein, S. M. Use of structural equation modeling in operations management research: Looking back and forward. Journal of Operations Management, 24, 2006, pp. 148-169.
44.  Sivo, S. A., Fan, X. T., Witta, E. L. snd Willse, J. T. The Search for 'Optimal' Cutoff Properties: Fit Index Criteria in Structural Equation Modeling, Journal of Experimental Education, 74, 3, 2006, pp. 276-289.
45.  Soheyli, Kumarth; Effects of price policies in the energy sector on the demand of energy carriers; PhD Thesis, Faculty of Economics. University of Imam Sadeq (AS). 1381.
46.  Transport and energy Information of the country, enterprise of fuel consumption optimization, 1390.
47.  Trainor, Audrey A. Graue, Elizabeth, Reviewing Qualitative Research in the Social Sciences. Routledge, 2013.
48.  Tylor, E. B. (1958 [1871]) Primitive Culture: researches into the development of mythology, philosophy, religion, art and custom. Vol. 1: Origins of Culture, Gloucester, MA: Smith.
49.  Varian, Hal. R. "Intermediate Microeconomics". W.W. Norton & Company, New York. London, 1993.
50.  Willis, Jerry, Foundations of Qualitative Research: interpretive and critical approaches, Library of Congress Cataloging-in-Publication Data, 2007.
51.  Wilhite, Harold. A cross-cultural analysis of household energy use behaviour in Japan and Norway. Energy Policy, Volume 24, Issue 9, September 1996, Pages 795–803.
52.  World Energy Council. Energy Efficiency Policies around the World: Review and Evaluation. London: World Energy Council. 2008.
53.  http://www.moe.gov.ir/
54.  http://www.saba.org.ir/
55.  www.tahlil-amari.com
56.  http://www.tavanir.org.ir
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb