Effect of the Human Development Index on Mobile Telephony Diffusion: Evidence from SAARC Member Countries
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Purpose The propose of this study is to examine the effect of human development index on mobile telephony diffusion. Design/methodology/approach This study fits the modidensity of South Asian Association for Regional Cooperation (SAARC) member countries with an econometric Gompertz growth model. The diffusion factors, including the human development index (HDI), gross domestic product (nominal) per capita, fixed-line telephony subscription, and population data of each member country from 2005 to 2018 are considered for the empirical experiment. Furthermore, the mobidensity of randomly sampled countries with very high human development scores (the Republic of Korea, Switzerland and Norway) and high development scores (Brazil and Costa Rica) have been examined with the same process as SAARC members. Findings We have found a positive but insignificant relationship between the HDI value and mobile telephony diffusion in Afghanistan, Bangladesh, Bhutan, India, and Pakistan; a positive and statistically significant relationship at a 99% confidence level in SriLanka; and a negative and insignificant relationship in the Maldives and Nepal. HDI has both positive and negative effects on mobile telephony diffusion, with the nature of effect depending on the profiles of each country. HDI is a diffusion determinant of mobile telephony only for the high human development country groups. Research implications or Originality This study provides a reference for policymakers, telecommunication stakeholders, and future researchers to design the telecommunication policies and strategies.
Abstract
Purpose The propose of this study is to examine the effect of human development index on mobile telephony diffusion. Design/methodology/approach This study fits the modidensity of South Asian Association for Regional Cooperation (SAARC) member countries with an econometric Gompertz growth model. The diffusion factors, including the human development index (HDI), gross domestic product (nominal) per capita, fixed-line telephony subscription, and population data of each member country from 2005 to 2018 are considered for the empirical experiment. Furthermore, the mobidensity of randomly sampled countries with very high human development scores (the Republic of Korea, Switzerland and Norway) and high development scores (Brazil and Costa Rica) have been examined with the same process as SAARC members. Findings We have found a positive but insignificant relationship between the HDI value and mobile telephony diffusion in Afghanistan, Bangladesh, Bhutan, India, and Pakistan; a positive and statistically significant relationship at a 99% confidence level in SriLanka; and a negative and insignificant relationship in the Maldives and Nepal. HDI has both positive and negative effects on mobile telephony diffusion, with the nature of effect depending on the profiles of each country. HDI is a diffusion determinant of mobile telephony only for the high human development country groups. Research implications or Originality This study provides a reference for policymakers, telecommunication stakeholders, and future researchers to design the telecommunication policies and strategies.
참고문헌 (55)
- Aker, J. C., "Mobile Phones and Economic Development in Africa", Journal of economic Perspectives, 24(3), pp.207~232 (2010)
- Mohammad Afshar Ali, "Do income distribution and socio-economic inequality affect ICT affordability? Evidence from Australian household panel data", Economic Analysis and Policy, 64, pp.317~328 (2019), Elsevier BV[DOI]
- Arjun B., T., "Compilation of SAARC Charter", Conventions, SAARC Secretariat, pp.2016, ~
- Asif, S. Z., "5G Mobile Communications Concepts and Technologies" (2018), CRC Press
- Luz Angelica Pirir Avila, "Diffusion and competitive relationship of mobile telephone service in Guatemala: An empirical analysis", Telecommunications Policy, 42(2), pp.116~126 (2018), Elsevier BV[DOI]
- Vladimír Baláž, "Diffusion and competition of voice communication technologies in the Czech and Slovak Republics, 1948–2009", Technological Forecasting and Social Change, 79(2), pp.393~404 (2012), Elsevier BV[DOI]
- Roxana Barrantes, "Can the poor afford mobile telephony? Evidence from Latin America", Telecommunications Policy, 32(8), pp.521~530 (2008), Elsevier BV[DOI]
- Anabela Botelho, "The diffusion of cellular phones in Portugal", Telecommunications Policy, 28(5-6), pp.427~437 (2004), Elsevier BV[DOI]
- Castells, M., "The Mobile Communication Society - A global perspective", International Workshop on Wireless Communication Policies and Prospects A Global Perspective (2007)
- Choudrie, J., "Investigating Factors Influencing Adoption of Broadband in the Household", Journal of Computer Information Systems (2006)[DOI]
- Chow, G. C., "American Economic Association Technological Change and the Demand for Computer s", American Economic Review, 57(5), pp.1117~1130 (1967)
- Wen-Lin Chu, "Diffusion of mobile telephony: An empirical study in Taiwan", Telecommunications Policy, 33(9), pp.506~520 (2009), Elsevier BV[DOI]
- CIA, "The CIA World Factbook 2018-2019" (2018), Skyhorse Publishing
- Staged Estimation of International Diffusion Models: An Application to Global Cellular Telephone Adoption, "Dekimpe, M. G.", Technological Forecasting and Social Change, ~ (1998)
- "What is the Impact of mobile Telephony on Economic Growth?" (2012)[URL]
- Lauri Dieter Frank, "An analysis of the effect of the economic situation on modeling and forecasting the diffusion of wireless communications in Finland", Technological Forecasting and Social Change, 71(4), pp.391~403 (2004), Elsevier BV[DOI]
- Luis Fernando Gamboa, "An estimation of the pattern of diffusion of mobile phones: The case of Colombia", Telecommunications Policy, 33(10-11), pp.611~620 (2009), Elsevier BV[DOI]
- 드루바 쿠마르 고탐, "Impact of Brand Equity on Purchase Intention of Smart Phones", 아태비즈니스연구, 9(1), pp.1~18 (2018), 경영경제연구소[DOI]
- Grosso, M., "Determinants of Broadband Penetration in OECD Nations", Australian Communications Policy and Research Forum (2006)
- Harald Gruber, "Competition and innovation", Information Economics and Policy, 13(1), pp.19~34 (2001), Elsevier BV[DOI]
- Harald Gruber, "The diffusion of mobile telecommunications services in the European Union", European Economic Review, 45(3), pp.577~588 (2001), Elsevier BV[DOI]
- "Mobile Economy 2018" (2018)[URL]
- Ruchita Gupta, "Diffusion of mobile telephony in India: An empirical study", Technological Forecasting and Social Change, 79(4), pp.709~715 (2012), Elsevier BV[DOI]
- Martin Hilbert, "When is Cheap, Cheap Enough to Bridge the Digital Divide? Modeling Income Related Structural Challenges of Technology Diffusion in Latin America", World Development, 38(5), pp.756~770 (2010), Elsevier BV[DOI]
- Bidiasse Honoré, "Diffusion of mobile telephony: Analysis of determinants in Cameroon", Telecommunications Policy, 43(3), pp.287~298 (2019), Elsevier BV[DOI]
- Junseok Hwang, "Investigation of factors affecting the diffusion of mobile telephone services: An empirical analysis for Vietnam", Telecommunications Policy, 33(9), pp.534~543 (2009), Elsevier BV[DOI]
- "The ICT Development Index (IDI): Conceptual Framework and Methodology" (2017)[URL]
- "ITU Telecommunication Development Sector/ICT statistics" (2019)[URL]
- "The ICT Development Index (IDI) Methodology, Indicators and Definitions" (2019)[URL]
- Kalba, K. A. S., "The Adoption of Mobile Phones in Emerging Markets: Global Diffusion and the Rural Challenge", International Journal of Communication, 2, pp.31~ (2008)
- Kim, C., "Diffusions of Mobile Cellular Phones in Sub Sahara Africa", Proceedings of PICMET ’12, pp.1617~1626 (2012)
- 김명수, "Determinants of The Continuance Intention to Use in The Korean 3G Telecommunications Market", 아태비즈니스연구, 3(2), pp.16~22 (2012), 경영경제연구소
- Minkyu Lee, "The diffusion of mobile telecommunications services in Korea", Applied Economics Letters, 14(7), pp.477~481 (2007), Informa UK Limited[DOI]
- Mingfeng Lin, "Research Commentary —Too Big to Fail: Large Samples and the p -Value Problem", Information Systems Research, 24(4), pp.906~917 (2013), Institute for Operations Research and the Management Sciences (INFORMS)[DOI]
- A Development of the Human Development Index, "Lind, N.", Social Indicators Research, ~ (2019)
- Xielin Liu, "Diffusion of Mobile Telephony in China: Drivers and Forecasts", IEEE Transactions on Engineering Management, 59(2), pp.299~309 (2012), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- "Models for Innovation Diffusion" (1985)[URL]
- Pooja Malhotra, "Factors affecting adoption of Internet Banking: A case study from India", 아태비즈니스연구, 5(2), pp.13~24 (2014), 경영경제연구소
- Silvia Massini, "The diffusion of mobile telephony in Italy and the UK: an empirical investigation", Economics of Innovation and New Technology, 13(3), pp.251~277 (2004), Informa UK Limited[DOI]
- Christos Michalakelis, "Diffusion models of mobile telephony in Greece", Telecommunications Policy, 32(3-4), pp.234~245 (2008), Elsevier BV[DOI]
- "Human Development Report 2019 Beyond Income , beyond Averages , beyond today :Inequalities in Human Development in the 21st Century" (2019)[URL]
- James E. Prieger, "The broadband digital divide and the benefits of mobile broadband for minorities", The Journal of Economic Inequality, 13(3), pp.373~400 (2015), Springer Science and Business Media LLC[DOI]
- S.H. Sabzpoushan, "A flexible nonlinear model for simulating growth systems", Communications in Nonlinear Science and Numerical Simulation, 82, pp.105009~ (2020), Elsevier BV[DOI]
- Harvinder Singh, "Determinants of Shopping Experience for Mall Shoppers: Empirical Investigation in an Emerging City of Raipur (India)", 아태비즈니스연구, 5(1), pp.13~22 (2014), 경영경제연구소
- Sanjay Kumar Singh, "The diffusion of mobile phones in India", Telecommunications Policy, 32(9-10), pp.642~651 (2008), Elsevier BV[DOI]
- Azamat Sultanov, "The diffusion of mobile telephony in Kazakhstan: An empirical analysis", Technological Forecasting and Social Change, 106, pp.45~52 (2016), Elsevier BV[DOI]
- Sanna Sundqvist, "The effects of country characteristics, cultural similarity and adoption timing on the diffusion of wireless communications", Journal of Business Research, 58(1), pp.107~110 (2005), Elsevier BV[DOI]
- UNDP., "Human Development Indices and Indicators. 2018 Statistical Update", United Nations Development Programme, 27(4), pp.123~ (2018)
- "Human Development Data (1990-2018)" (2019)[URL]
- "World Bank Open Data :Free and open Access to Global Development Data" (2019)[URL]
- Feng-Shang Wu, "Diffusion models of mobile telephony", Journal of Business Research, 63(5), pp.497~501 (2010), Elsevier BV[DOI]
- Peter Yamakawa, "The diffusion of mobile telephones: An empirical analysis for Peru", Telecommunications Policy, 37(6-7), pp.594~606 (2013), Elsevier BV[DOI]
- Yunus, M., "Mobile Telephony in Rural Areas", 1~4 (2011)
- Jianjun Zhang, "The dynamic linkage between information and communication technology, human development index, and economic growth: evidence from Asian economies", Environmental Science and Pollution Research, 26(26), pp.26982~26990 (2019), Springer Science and Business Media LLC[DOI]
- Xiaoqun Zhang, "Exploring the patterns and determinants of the global mobile divide", Telematics and Informatics, 34(1), pp.438~449 (2017), Elsevier BV[DOI]
