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عوامل موثر بر نابرابری آموزشی با تاکید بر دسترسی به اینترنت: مطالعه موردی کشورهای منتخب آسیای غربی | ||
| پژوهشنامه اقتصاد کلان Macroeconomics Research Letter | ||
| دوره 16، شماره 32، آذر 1400، صفحه 39-63 اصل مقاله (534.73 K) | ||
| نوع مقاله: علمی | ||
| شناسه دیجیتال (DOI): 10.22080/iejm.2022.22703.1896 | ||
| نویسندگان | ||
| وحید تقی نژادعمران* 1؛ مهران سام دلیری2؛ علیرضا بیات3؛ مبین رمضان پور4 | ||
| 1دانشیار، گروه پولی، بخش عمومی، گروه اقتصاد، دانشگاه مازندران، بابلسر، ایران | ||
| 2دانشجو دکتری، اقتصاد پولی، دانشگاه علامه طباطبایی، تهران، ایران | ||
| 3کارشناسی ارشد اقتصاد، دانشگاه علم و صنعت ایران، تهران، ایران | ||
| 4کارشناسی ارشد اقتصاد نظری، دانشگاه مازندران. بابلسر، ایران | ||
| تاریخ دریافت: 07 آذر 1400، تاریخ بازنگری: 06 اسفند 1400، تاریخ پذیرش: 18 تیر 1401 | ||
| چکیده | ||
| بخش مهمی از سرمایه انسانی فرد که مستقیم بر رفاه او و جامعه اثر دارد، با آموزش شکل میگیرد؛ این کار نیازمند توزیع برابر فرصتهای آموزشی میان توده مردم است. امروزه با تغییر پدید آمده در فرآیندهای آموزشی به دلیل رشد فناوریهای ارتباطات و نقش همهگیری بیماری کووید-19، دسترسی به اینترنت و مخارج دولت در کنار عوامل دیگر اثرگذار در ادبیات مربوطه بر نابرابری آموزشی میتواند اثر بگذارد. بر پایه اهمیت آموزش در توسعه و پیشرفت اقتصادی، این مطالعه به دنبال بررسی تاثیر دسترسی به اینترنت بر نابرابری آموزشی در کشورهای منتخب آسیای غربی در دورهی زمانی 2019-2010 و با استفاده از روش تابلویی حداقل مربعات کاملا اصلاح شده (FMOLS) است. نتایج بدست آمده از برآورد مدل نشان میدهد که مخارج عمومی دولت، دسترسی به اینترنت و سرمایهگذاری تاثیر منفی و معناداری بر نابرابری آموزشی در کشورهای مطالعه شده داشته است؛ به این معنی که متغیرهای یاد شده به توزیع برابرتر آموزش میان افراد میانجامند. همچنین یافته تجربی دیگر این که نابرابری درآمدی و نابرابری جنسیتی هر دو به گونههای معنیدار نابرابری آموزشی را در کشورهای آسیای غربی افزایش میدهند. | ||
| کلیدواژه‌ها | ||
| دسترسی به اینترنت؛ نابرابری آموزشی؛ روش حداقل مربعات کاملا اصلاح شده؛ کشورهای آسیای غربی | ||
| عنوان مقاله [English] | ||
| The Impact of Internet Access on Educational Inequality: A Case Study on the Selected West Asian Countries | ||
| نویسندگان [English] | ||
| Vahid Taghinezhadomran1؛ mehran Samdaliri2؛ Alireza Bayat3؛ Mobin Ramezanpour4 | ||
| 1Associate Professor, Monetary Public Section, Department of Economics, Mazandaran University, Babolsar, Iran. | ||
| 2Ph.D. Student in Monetary Economics, Allameh Tabatabaei University, Tehran, Iran. | ||
| 3M.A in Economics, University of Science and Technology of Iran, Tehran, Iran. | ||
| 4M.A in Theoretical Economics, Mazandaran University. Babolsar, Iran. | ||
| چکیده [English] | ||
| An important part of an individual's human wealth, which directly affects his or her well-being and that of society, is formed through education. This requires an equal distribution of educational opportunities among the people. Today, with the change in educational processes due to the growth of communication technologies and the role of Covid 19, access to the Internet and government spending, along with other relevant factors in the literature have affected educational inequality. Based on the importance of education in economic development and progress, this study investigates the impact of Internet access on educational inequality in the selected West Asian countries during the period 2010-2019 using the panel Fully Modified Ordinary Least Squares method (FMOLS).The results of the model estimation show that public government expenditures, Internet access and investment have a negative and significant effect on educational inequality in the countries .This means that these variables lead to a more equal distribution of education among individuals. Another empirical finding is that income inequality and gender inequality both significantly increase educational inequality in West Asian countries. | ||
| کلیدواژه‌ها [English] | ||
| Internet access, Educational Inequality, Fully Modified Ordinary Least Squares (FMOLS), West Asian | ||
| مراجع | ||
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Abdulqadir, I. A., & Asongu, S. A. (2022). The asymmetric effect of internet access on economic growth in sub-Saharan Africa. Economic Analysis and Policy, 73, 44-61. Akbari, N., Farahmand, S., & Jamali, S. (2011). Spatial analysis of the effect of government’s fiscal policy on income distribution inequality in Iran: (GWR Approach). Quarterly Journal of Quantitative Economics, 8(3), 1-26. (In Persian). Baltagi, B. (2005). Econometric Analysis of Panel Data. (3rd ed), John Wiley & Sons, Chichester, England. Billon, M., Crespo, J., & Lera-Lopez, F. (2021). Do educational inequalities affect Internet use? An analysis for developed and developing countries. Telematics and Informatics, 58, 101521. Büchi, M., Just, N., & Latzer, M. (2016). Modeling the second-level digital divide: a five-country study of social differences in Internet use. New Media & Society, 18(11), 2703–2722. Bustomi, M. J. F. (2012). Ketimpangan pendidikan antar kabupaten/kota dan implikasinya di Provinsi Jawa Tengah. Economics Development Analysis Journal, 1(2). Chernichovsky, D. (1985). Socioeconomic and demographic aspects of school enrollment and attendance in rural Botswana. Economic development and cultural change, 33(2), 319-332. Crespo-Cuaresma, J., Foster, N., & Stehrer, R. (2011). Determinants of regional economic growth by quantile. Regional Studies, 45(6), 809-826. Digdowiseiso, K. (2010). Measuring gini coefficient of education: the Indonesian cases. MPRA Paper No, 19865. University Library of Munich. Germany. Grewenig, E., Lergetporer, P., Werner, K., Woessmann, L., & Zierow, L. (2020). COVID-19 and educational inequality: how school closures affect low-and high-achieving students (No. 260). Discussion Paper. file:///C:/Users/hzobe/Downloads/cesifo1_wp8648.pdf Gujarati, D. N. (2019). Basic econometrics, Translated by Hamid Abrishmi; University of Tehran, 16th edition. (In Persian). Hoeller, P., Joumard, I., & Koske, I. (2014). Reducing income inequality while boosting economic growth: Can it be done? Evidence from OECD countries. The Singapore Economic Review, 59(01), 1450001. Hosseinzadeh, A., & mombeini, M. (2019). Study the role of cultural, social, and economic capital on educational inequality 2. Journal of Educational Scinces, 25(2), 213-232. (In Persian). Kao, C. (1999). Spurious regression and residual-based Tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-44. Karimi Moughari, Z., Maghsoodloo, M., & Elmi, Z. (2018). The effect of educational inequality on employment in iran's provinces. Iranian Journal of Economic Research, 23(76), 85-106. (In Persian). Keramatfar, M., Sahabi, B., Asari, A., Abbasian, E. (2019). Estimation of household educational expenditure model using censored data. Quarterly Journal of Applied Theories of Economics, 5(4), 221-246. (In Persian). Komeyjani, A., & Salatin, P. (2010). The Study of The Effect Quality of Governance on The Economic Growth in Iran and Select Neihgbor Countries (Turkish and Pakistan). Journal of Industrial Strategic Management, 7(20), 27-41. Lorel, B. (2008). Assessing Brazilian educational inequalities. Revista Brasileira de Economia, 62(1), 31-56. Najjari, M., & hassani, M. (2019). Analysis inequality of higher education access opportunities (Case study: townships of west Azerbaijan). Journal of Educational Planning Studies, 7(14), 76-96. (In Persian). Navabakhsh, F. (2014). The changes of lifestyle in the process of modern technologies’ development. Journal of Iranian Social Development Studies, 6(2), 45-63. (In Persian). Nilsson, A. (2004). Income inequality and crime: The case of Sweden (No. 2004: 6). Working Paper. Department of Economics, Univ. Nugroho, R. (2011). Gender dan Strategi Pengarus-Utamaannya di Indonesia. Yogyakarta: Pustaka Pelajar. Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and statistics, 83(4), 727-731. Rafati, R., shahrakipoor, H., & nazem, F. (2019). Identifying factors and components of educational inequalities in Mashhad education and training areas in order to present a desirable model. Journal of Educational Planning Studies, 8(15), 56-80. (In Persian). Robinson, L., Cotten, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., Schulz, J., Hale., T., & Stern, M. J. (2015). Digital inequalities and why they matter. Inf, Commun & Soc, 18(5), 569–582. Rodríguez-Pose, A., & Tselios, V. (2011). The determinants of regional educational inequality in Western Europe. In Innovation, Growth and Competitiveness, 135-163. Springer, Berlin, Heidelberg. Sameti, M., & Alsadat, Z. (2013). The effect of financial development on the inequality of income distribution: A case study of selected developing countries. Macroeconomics Research Letter, 7(14), 2-2. (In Persian). Sen, A. (2000). Development as Freedom. New York: Anchor Books. Senadza, B. (2012). Education Inequality in Ghana: Gender and Spatial Dimensions. Journal of Economic Studies, 39(6), 724-739. Suryadi, A., & Idris, E. (2010). Kesetaraan Gender dalam Bidang Pendidikan. Bandung: PT. Genesindo. Taheri, M. A., & Khodabakhshi, A. (2021). Interactive effect of education indicators and income distribution in selected countries of the islamic conference organization. Program and Budget Research, 2(1), 55-80. (In Persian). Tauheed, T., & Nasir, M. (2020). Educational Inequality and Inclusiveness: The Case of Khyber Pakhtunkhwa, Pakistan. Journal of Applied Economics and Business Studies, 4(1), 1-28. Tesfeye K. (2002). The economics of education: conceptual framework. Journal of African Economies, 26: 357-374. Todaro, M. P., & Smith, S. C. (2011). Pembangunan Ekonomi. Ed ke-11. Jakarta: Erlangga. Umar, H. M. (2017). The Microeconomic Determinants of Educational Inequality in Nigeria. Proceeding of International Conference on Humanities, Language, Culture & Business, Penang 2017. UNDP (2020). http://hdr.undp.org/en/composite/IHDI for the list of surveys used to estimate inequalities. UNESCO (2017). A guide for ensuring inclusion and equity in education. [Online]Available at: https://www.european agency.org/sites/default/files/news/newsfiles/UNESCO%20guide.pdf [Accessed April 2020]. UNESCO (2020). Adverse Consequences of School Closures. https://en.unesco.org/covid19/educationresponse/consequences [accessed September 15,2020]. World Bank (2020). World Development Indicators. Available at: https://databank.worldbank.org/ Yagami, F. (2013). Kesenjangan antara Harapan dengan Kenyataan. http://www.slideshare.net/ itrayagami/kesenjangan-antara-harapan-dengan-kenyataan. Yazdi Feyzabadi, V., Mehrolhassani, M., Monajemi, F., & Pourhosseini, S. (2019). Measuring of educational inequality in medical sciences sector from 2010 to 2016: A descriptive study in Iranian provinces. Iranian Journal of Epidemiology, 14, 82-92. (In Persian). | ||
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