Graphene Revolution: An R&D-Based Growth Model Interpretation
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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

Quarterly Reviews

ISSN 2775-9237 (Online)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
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Published: 28 December 2018

Graphene Revolution: An R&D-Based Growth Model Interpretation

Nor Azam Abdul-Razak, Bakti Hasan-Basri, Mohd Zaini Abd-Karim, Kavintheran Thambitratnam, Thilagavathi Muttu

Universiti Utara Malaysia

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

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doi

10.31014/aior.1992.01.04.60

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Abstract

In the physics community, there is a new nanomaterial known as graphene which has been invariably referred to as the disruptive technology arguably due to its capability to revolutionize the information and communication technology. In the economics community, there is a celebrated model of economic growth which has been termed the R&D-based growth model due to its stipulation that growth is achieved through creative destruction, an idea introduced by the late economist Joseph Schumpeter. Inasmuch as the idea of disruptive technology is akin to that of creative destruction, this paper explores the extent to which the so-called graphene revolution can be given an R&D-based growth model interpretation. Although such consistency exists, there are some discrepancies which may alter the conclusions of the model.

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