ارائه چارچوبی برای برآورد سهم‌های فناوری اطلاعات و ارتباطات از رشد بهره‌وری: شواهدی از صنایع تولیدی ایران | ||
| سیاست گذاری اقتصادی | ||
| مقاله 11، دوره 13، شماره 25، شهریور 1400، صفحه 345-373 اصل مقاله (1.1 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/epj.2021.15418.2169 | ||
| نویسندگان | ||
| محمود رضائی سراجی* 1؛ محمود محمودزاده2؛ پروانه سلاطین3؛ مهدی فتح آبادی3 | ||
| 1دانشجوی دکترای علوم اقتصادی، دانشگاه آزاد اسلامی واحد فیروزکوه | ||
| 2دانشیار گروه اقتصاد، دانشگاه آزاد اسلامی واحد فیروزکوه | ||
| 3استادیار گروه اقتصاد، دانشگاه آزاد اسلامی واحد فیروزکوه | ||
| چکیده | ||
| تأثیر فاوا بر توسعه اقتصادی و اجتماعی کشورها طی سه دهه گذشته توسط بسیاری از محققان با استفاده از روش‌ها و داده‌های مختلف در دوره‌های زمانی متفاوت و در سطح کشور یا کشورها انجام شده است. مطالعات نشان می‌دهد فاوا در سطح کلان بر بهره‌وری و رشد اقتصادی اثرگذار بوده است. هدف مطالعه حاضر، برآورد رشد بهره‌وری کل عوامل تولید، رشد بهره‌وری کوتاه مدت، سهم‌های مستقیم، غیر مستقیم و مجموع فاوا، میانگین سهم‌های فاوا و غیر فاوا از رشد بهره‌وری است. بدین منظور از نتایج آمارگیری کارگاه‌های صنعتی ده نفر کارکن و بیشتر در سطح کدهای دو رقمی مرکز آمار ایران در دوره زمانی ۱۳9۵-1385 در قالب حسابداری رشد با الگوی تحقیقات اولینر و سایچل استفاده گردید. نتایج تحقیق نشان می‌دهد: سهم فاوا در رشد بهره‌وری کل عوامل تولید و رشد بهره‌وری کوتاه مدت بر حسب نوع صنعت متفاوت می‌باشد. این سهم در برخی از سال‌ها و بخش‌های اقتصادی بسیار ناچیز و حتی منفی بوده است. رشد بهره‌وری کل عوامل تولید ۶ صنعت از ۲۳ صنعت و رشد بهره‌وری کوتاه مدت ۱۵ صنعت از ۲۳ صنعت مثبت بوده است. میانگین سهم‌های مستقیم، غیر مستقیم و مجموع فاوا ناچیز می‌باشد. همچنین سهم غیر مستقیم از سهم مستقیم کمتر می‌باشد. میانگین سهم سرمایه غیر فاوا بیشتر از میانگین سهم نیروی کار و سرمایه فاوا طی دوره مذکور بوده و این اختلاف در مورد میانگین سهم سرمایه فاوا، معنادار نیز می‌باشد. | ||
| کلیدواژه‌ها | ||
| فناوری اطلاعات و ارتباطات (فاوا)؛ بهره‌وری کل عوامل تولید؛ صنایع تولیدی ایران | ||
| عنوان مقاله [English] | ||
| Providing a framework to estimate ICT contributions to the growth of productivity: Evidence from the Iranian manufacturing industry | ||
| نویسندگان [English] | ||
| Mahmoud Rezaee Seraji1؛ Mahmoud Mahmoudzadeh2؛ Parvaneh Salatin3؛ Mehdi Fathabadi3 | ||
| 1PhD Student in Economics, Firoozkooh Branch, Islamic Azad University | ||
| 2Associate Professor of Economics, Firoozkooh Branch, Islamic Azad University | ||
| 3Assistant Professor of Economics, Firoozkooh Branch, Islamic Azad University | ||
| چکیده [English] | ||
| Introduction: The impact of ICT on the economic and social development of countries has been studied over the past three decades using different methods and data in different time periods and at national or international levels. Studies show ICT, at the macro level of productivity and economic growth, has been impressive. The ambiguity of ICT productivity was first raised by Robert Solo in 1987. For this reason, it is also known as "solo ambiguity". "We see computers everywhere except in productivity statistics", he said. In the 1980s, most studies reported a negative relationship between productivity at the economy level and the IT workforce. However, in the 1990s, further research findings highlighted the positive and significant effect of ICT on productivity and economic growth. Therefore, the effects and consequences of ICT have been discussed by researchers since the 1990s. The purpose of this study is to examine the productivity growth in all production factors, short-term productivity growth, direct, indirect and total ICT shares as well as the average ICT and non-ICT shares of productivity growth. Methodology: This research is applied in terms of purpose and descriptive-analytical in terms of data collection. The study aims to explore the relationship between ICT and the productivity growth of all the factors of production. A historical study of the correct measurement of the share of inputs in production shows that there are complex tools and methods in this regard, one of which is growth accounting. Using it, one can calculate the share of technology or the growth of technology in progress, which is equal to the growth of productivity in all the factors of production and is known as "solo waste". Solo waste is the share of productivity in GDP obtained by the difference of the growth of labor and capital from the growth of output. This study evaluates, compares, and analyzes the variables considering growth accounting and the research model of Oliner and Seichel (2002). For this purpose, application is made of the survey results of the industrial workshops of more than ten employees at the level of two-digit codes of the Statistics Center of Iran in the period 2006-2016. The following equations are used to calculate the total productivity growth of the short-term factors of production: = - ( + + ) Also, to calculate the direct and indirect ICT shares, the following equations is used: , (1+ ) The variables and formulas are fully explained in the text of the article. First, using the data available on the website of the National Statistics Center of Iran, the nominal value added, the compensation of services and the number of employees, the total price index is extracted by years. Also, using relation (6) the real value added is estimated, and relation (5) calculates the growth of the real value added and the employees. Equation (7) serves to calculate the share of labor force, and then the data on the payment of communications and telecommunications costs are extracted from the site of the Central Bank. Equations (8) and (9) calculate the ICT share and relationship as well as the share of non-ICT, respectively. Equation (9) also extracts the data from the website of the National Center for Total Investment and ICT Statistics. Relations (10) and (11) along with the explanations of the capital inventory section calculate the growth of real capital inventory of ICT and non-ICT. We now calculate the productivity growth of all the factors of production in the studied years. From Equations (14) and 17-13 and the explanations of the short-term productivity growth, we calculate the short-term productivity growth separately in the studied years. This paper presents the table of the average productivity growth for the total factors of production, the short-term productivity of ICT and their ranks in terms of the type of industry as well as the corresponding charts. Results and Discussion: Calculations show that only 6 out of 23 industries have experienced total factor productivity growth. The highest productivity growth of the total production factors is in medical, food and beverage, clothing, leather and bags, and in the paper industry, while the lowest is related to tobacco, furniture, printing, chemicals and coke. Calculations also show that 15 out of 23 industries have experienced short-term productivity growth. This shows that the response of most economic sectors to ICT is positive in the short term. The most growth of short-term productivity is related to food and beverage industries, clothing, leather and bags, medicine and paper, but the lowest occurs in the printing, tobacco, tobacco and chemical industries, chemicals, office machinery and recycling. The equation calculates the direct share of ICT, Equation (16) the indirect share of ICT and Equation (24) the sum of ICT shares. Then, the tables of the average direct, indirect and total ICT shares by years and types of industry are compared. At the end, the table of the average shares of labor force, ICT capital and non-ICT capital are compared according to the type of industry. Conclusion: The share of ICT in the productivity growth of all the factors of production and short-term productivity growth varies according to the type of industry. This share has been very small and even negative in some years and in some economic sectors. The averages of the direct and indirect shares as well as the total ICT are negligible. Moreover, the indirect share is less than the direct share. The average share of the non-ICT capital is higher than that of labor and the ICT capital during the mentioned period. The difference is significant regarding the average share of the ICT capital. | ||
| کلیدواژه‌ها [English] | ||
| ICT, Total productivity of production factors, Economic sectors of Iran | ||
| مراجع | ||
|
Barani Beiranvand, M. S. (2011). The Impact of Information Technology on Productivity in Mehr Financial and Credit Institution (Case Study of Lorestan branches), Shahid Beheshti University.
Bazzazan, F. (2013). "Measurement of Total Factor Productivity Using anInput-Output Approach". The Journal of Economic Policy 3(5): 143-168.
Behboudi, D. & Montazeri Shoorekchali, J. (2011). "The Investigation of TFP in Iranian Economy (1966-2007) (Growth Accounting Approach)". Quarterly Journal of Economic Growth and Development Research 1(3): 70-49.
Buiatti, C. Duarte, J.B. & Sáenz, L.F. (2017). "Why Is Europe Falling Behind Structural Transformation and Services’ Productivity Differences Between Europe and the U.S.". Working Paper, Cambridge Working Papers in Economics: 1708, University of Cambridge, 36.
D. Atkinson, R. (2018). "How ICT Can Restore Lagging European Productivity Growth". Journal of Information Technology and Innovation Foundation. Available at the following site: https://espas.secure.europarl.europa.eu/orbis/node/1352.
D. Atkinson, R. Ezell, S. Andes, S.M. & Castro, D. (2010). "The Internet Economy 25 Years After. Com". (Information Technology and Innovation Foundation), http://www.itif.org/publications/internet-economy-25-years-after-com; Matthieu Pélissié du Rausas et al., “Internet Matters: The Net’s Sweeping Impact on Growth, Jobs, and Prosperity” (McKinsey Global Institute, May 2011).
Dedrick, J. Gurbaxani, V. & Kraemer, K. (2003). "Information Technology and Economic Performance: A Critical Review of the Empirical Evidence". ACM Computing Surveys 35(1): 1-28.
Diermeier, M. & Goecke, H. (2017). "Productivity, Technology Diffusion and Digitization". Wirtschaftsforschung an der Universität München, München 18: 26-32.
Dimelis, S.P. & Papaioannou. S.K. (2017). "Does Upstream Regulation Matter When Measuring the Efficiency Impact of Information Technology? Evidence across EU and US Industries". Information Economics and Policy 41: 67-80.
Draca, M. Sadun, R. & Reenen, J. V. (2006). "Productivity and ICTs: A Review of the Evidence". CEP Discussion Paper No 749. DOI: 10.1093/oxfordhb/ 9780199548798.003.0005. Source: ePEc. https://www.researchgate.net/publication/5001176.
Edquista, H. & Henrekson. M. (2017). "Do R & D and ICT Affect Total Factor Productivity Growth Differently?". Telecommunications Policy 41: 106-119.
Gaspar, P. (2003). "ICT and its Impact on Productivity and Economic Growth in Candidate Countries". Retrievable at the following site: www.gasparalapitvany.eu › docs › 97.
Ghita-Mitrescu, S. & Duhnea, C. (2016). "Internet Banking in Romania at a Glance". Ovidius Univ. Ann. Econ. Sci. Ser. 16: 508-514.
Haider, F. Kunst, R. & Wirl, F. (2020). "Total Factor Productivity, Its Components and Drivers". Empirica https://doi.org.
Huang, J. Xiaochen, C. Huang, S. Tian, S. & Lei, H. (2019). "Technological Factors and Total Factor Productivity in China: Evidence based on a Panel Threshold Model". China Economic Review 54(C): 271-285.
Jafari, S. Esfandiari, M. & Pahlavani, M. (2020). "Investigating the Role of Factors Affecting the Total Factor Productivity in Iran with an Emphasis on Human Capital and Renewable and Non-Renewable Types of Energy". The Journal of Economic Policy 12(23): 321-344.
Kiani, K. & Sarlak, A. (2017). "Investigating the Impact of Information and Communication Technology on Capital Productivity and Total Production Factors in Iran". Journal of Financial Economics 11(39): 83-100.
Lee, H. & Khatri, Y. (2003). "IT and Productivity Growth in Asia". IMF Working Paper WO/03/13.
Liang, C. & Hejheng, R. (2020). "An International Comparison on TFP Changes in ICT Industry among Japan, Korea, Taiwan, China and the United States". Measuring Economic Growth and Productivity, Foundations, KLEMS Production Models, and Extensions: 117-136.
Lin, H.J. & Lin, W.T. (2007). "International E-banking: ICT Investments and the Basel Accord". J. Comp. Int. Manag. 10: 23-39.
Mačiulytė-Šniukienėa, A. & Gaile-Sarkane, E. (2014). "Impact of Information and Telecommunication Technologies Development on Labour Productivity". Procedia - Social and Behavioral Sciences 110: 1271-1282.
Mahmoodzadeh, M. & Fathabadi, M. (2017). "Driving Factors of Total Factor Productivity in Iranian Manufacturing Industries". Journal of Economic Modeling Research 7(26): 141-165.
Mahmoodzadeh, M. Ghavidel Doostkouyi, S. & Chavooshi, S. F. (2019). "Factors Affecting Expansion of E-Commerce in Iran". Economics Research 19(74): 201-230.
Mahmoodzadeh, M. Mousavi, M. & Paknahad, F. (2016). "Accounting the Growth of in Iran Manufacturing Sector by Emphasizing on ICT". Economic Modeling 9(32): 41-64.
Mahmoudzadeh, M. (2009). "The Effect of Information Technology on Labor Productivity in the Iranian Manufacturing Industries: 2002-2007". Journal of New Economy and Commerce 5(17): 1-22.
Mahmoudzadeh, M. (2010). "The Effects of Information and Communication Technology (ICT) on the Total Factor Productivity (TFP) in Iran". Journal of Executive Management 1(36): 107-130.
Mahmoudzadeh, M. (2011). "The Effects of Information and Communication Technology (ICT) on the Total Factor Productivity (TFP) in Selected Developing Countries". Iranian Journal of Trade Studies 15(57): 29-64.
Moshiri, S. Parsa, M. & Darougar, L. (2018). "Effects of Information Technology on Production Chain in Iran: An Input-Output Approach". Economics Research 18(68): 1-44.
Oliner, S. D. & Sichel, D. E. (2002). "Information Technology and Productivity: Where Are We Now and Where Are We Going?" Finance and Economics Discussion Series 2002-29, Board of Governors of the Federal Reserve System (U.S.), Revised 2002.
Solow. R. (1987). "We'd Better Watch Out". New York Times Book Review
Souma, W. Ikeda, Y. Iyetomi, H. & Fujiwara, Y. (2009). "Distribution of Labour Productivity in Japan over the Period 1996–2006". Economics The Open-Access, Open-Assessment E-Journal, 14(3). http://dx.doi.org/10.5018/ economics-ejournal. ja. 2009-14.
Stoica, O. Mehdian, S. & Sargu, A. (2015). "The Impact of Internet Banking on the Performance of Romanian Banks: DEA and PCA Approach". Procedia Econ. Financ 20: 610-622.
Toader, E. Firtescu, B. N. Roman, A. & Anton, S. G. (2018). "Impact of Information and Communication Technology Infrastructure on Economic Growth: An Empirical Assessment for the EU Countries". Sustainability 10: 3750.
Triplett, J. E. & Bosworth, B.P. (2003). "Productivity Measurement Issues in Services Industries: ‘Baumol’s Disease’ has Been Cured". FRBNY Economic Policy Review 9(3): 23-33.
Van Ark, B. Melka, J. Mulder, N. Timmer, M. & Ypma, G. (2003) "ICT Investments and Growth Accounts for the European Union, Final Report on “ICT and Growth Accounting” for the DG Economics and Finance of the European Commission". Research Memorandum GD-56, Groningen Growth and Development Centre.
www.amar.org.ir
www.cbi.ir
Zhen-Wei Qiang, Ch. Pitt, A. & Ayers, S. (2003). "Contribution of Information and Communication Technologies to Growth". Warld Bank Working Paper No. 24. http://dx.doi. org/10.1596/0-8213-5722-0. | ||
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