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Labor Productivity, Demographic Traits and ICT A Demo-Tech Productivity Model for Asian Region

Author

Listed:
  • Bilal Mehmood

    (Department of Economics, GC University, Lahore, Pakistan)

  • Parvez Azim

    (Department of Economics, GC University, Faisalabad, Pakistan)

  • Syed Hassan Raza

    (Department of Economics, Lahore Leads University, Lahore, Pakistan)

  • Huma Sohaib

    (Department of Economics, Lahore Leads University, Lahore, Pakistan)

Abstract

This paper develops an innovative model to explain the labor productivity in Asian countries, most of which are labor surplus and are endowed with substantial human capital. Such encouraging demographic traits are considered as complementary factors to use of Information and Communication Technologies (ICT). Population with labor having such favorable demographic traits and access to ICT results in higher labor productivity. Such is, here, termed as Demo-Tech Productivity Model and is tested by using data for 2000-2012 of 24 Asian countries. Econometric concerns like presence of endogenous and/or predetermined covariates and small time-series and cross-sectional dimensions of panel datasets are tackled by using System Generalized Method of Moments (SYS-GMM). Results show considerable support for the Demo-Tech Productivity hypothesis. Need is to design such models that suit the local demography and patterns of technological diffusion currently taking place in developing countries.

Suggested Citation

  • Bilal Mehmood & Parvez Azim & Syed Hassan Raza & Huma Sohaib, 2014. "Labor Productivity, Demographic Traits and ICT A Demo-Tech Productivity Model for Asian Region," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 773-783.
    • Handle: RePEc:eco:journ1:2014-04-08
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    Cited by:

    1. Farwa Amjad & Bilal Mehmood, 2016. "Dynamics of FDI, Technological Transformation and Environmental Degradation in Developing Countries: A Panel Analysis," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(59), pages 3-24, March.
    2. Bilal Mehmood & Saddam Ilyas, 2015. "Do Mobiles Take our Lives Away? An Empirical Analysis of Global Data," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(11), pages 526-531, November.
    3. Monika Gupta & Shubhi Bansal, 2020. "Covid-19 Disruption of Middle-Class Monthly Household Income and Budget," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 10-17.

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    More about this item

    Keywords

    Labor Productivity; Information and Communication Technology (ICT); System Generalized Method of Moments (SYS-GMM); Human Development Index (HDI).;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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