The Dynamic Relationship Between Technology Innovation and Human Development in Technologically Advanced Countries: Fresh Insights from Quantiles-on-Quantile Approach

被引:0
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作者
Muhammad Asif Qureshi
Jawaid Ahmed Qureshi
Ammar Ahmed
Shahzad Qaiser
Ramsha Ali
Arshian Sharif
机构
[1] Mohammad Ali Jinnah University,Faculty of Business Administration and Social Sciences
[2] Shaheed Zulfikar Ali Bhutto Institute of Science and Technology,Department of Business Administration
[3] MNS-UET Multan,Department of Management Sciences
[4] Capital University of Science and Technology (CUST),Department of Computer Science
[5] Universiti Utara Malaysia,School of Quantitative Sciences, Awang Had Salleh Graduate School of Arts and Sciences
[6] Universiti Utara Malaysia,Othman Yeop Abdullah Graduate School of Business
来源
Social Indicators Research | 2020年 / 152卷
关键词
Quantile-on-Quantile (QQ) approach; Technology innovation; Human development; Granger-causality in quantiles; Quantile unit root test (QURT); Quantile autoregressive unit root test (QAR);
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摘要
Our study investigates the relationship between technology innovation and human development in technologically advanced countries using data from quarterly observations from the last decade of the twentieth century to the first two decades of the twenty-first century. This objective of this study is to implement Quantile-on-Quantile regression (QQ) technique that as formulated by Sim and Zhou (J Bank Finance 55:1–8, 2015) and the renowned Granger-causality in quantiles as proposed by Troster (Econom Rev 37(8):850–866, 2018) examine the basic relationship between the given quantiles of technology innovation and their effects on the quantiles of human development. Therefore, the outcomes of this study explain the overall interdependence of technology innovation and affect the overall human development index. It is enumerated that the empirical results indicate that a significant positive relationship exists between technology innovation and human development in all selected technologically advanced countries, predominantly in both low and high tails. Moreover, the outcomes of Granger causality quantiles indicate a bi-directional fundamental relationship between these two variables in the dataset of all countries. The outcomes of the observations are extended to the recent findings on these two variables’ nexus and imply a differential impact on the technologically advanced countries. This causality guides us to offer some specific policy recommendations to each group of countries.
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页码:555 / 580
页数:25
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