Technology-Intensive Trade, Economic Growth and CO2 Emissions: ARDL Bounds Test Approach and Causality Analysis for BRICS

Article ID

470GJ

Technology-Intensive Trade, Economic Growth and CO2 Emissions: ARDL Bounds Test Approach and Causality Analysis for BRICS

Dr. Farha Fatema
Dr. Farha Fatema University of Dhaka
Dr. Mohammad Monirul Islam
Dr. Mohammad Monirul Islam
DOI

Abstract

This study identified long-run and short-run relationship as well as causal direction of medium and high tech (MHT) trade (proxy for tech-intensive trade), economic growth and CO2 emissions in BRICS for the period of 1992- 2015 applying ARDL bound test approach and error-correction based Granger causality. The disequilibrium (non-stationary) characteristics of CO2 emissions in China during 1992-2014, along with unavailability of MHT trade data prior to 1992, constrained the analysis of short-run and long-run relationship among the variables for the country. The study found that structural change did not affect CO2 emissions in India and Russia in the long-run but it did in the short-run in India. The study did not find any long-run cointegration among the variables for South Africa. It identified long-run causality running from MHT trade and growth to CO2 emissions for India and Russia, whereas long-run causality directed from MHT trade and CO2 emissions to growth was found in Brazil and India, and causality running from CO2 emissions and growth to MHT trade only held for India. The most critical policy suggestion provided by this study is that there is no generalized proposition when it comes to the nexus between MHT trade, economic growth and CO2 emissions.

Technology-Intensive Trade, Economic Growth and CO2 Emissions: ARDL Bounds Test Approach and Causality Analysis for BRICS

This study identified long-run and short-run relationship as well as causal direction of medium and high tech (MHT) trade (proxy for tech-intensive trade), economic growth and CO2 emissions in BRICS for the period of 1992- 2015 applying ARDL bound test approach and error-correction based Granger causality. The disequilibrium (non-stationary) characteristics of CO2 emissions in China during 1992-2014, along with unavailability of MHT trade data prior to 1992, constrained the analysis of short-run and long-run relationship among the variables for the country. The study found that structural change did not affect CO2 emissions in India and Russia in the long-run but it did in the short-run in India. The study did not find any long-run cointegration among the variables for South Africa. It identified long-run causality running from MHT trade and growth to CO2 emissions for India and Russia, whereas long-run causality directed from MHT trade and CO2 emissions to growth was found in Brazil and India, and causality running from CO2 emissions and growth to MHT trade only held for India. The most critical policy suggestion provided by this study is that there is no generalized proposition when it comes to the nexus between MHT trade, economic growth and CO2 emissions.

Dr. Farha Fatema
Dr. Farha Fatema University of Dhaka
Dr. Mohammad Monirul Islam
Dr. Mohammad Monirul Islam

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Dr. Farha Fatema. 2019. “. Global Journal of Management and Business Research – B: Economic & Commerce GJMBR-B Volume 19 (GJMBR Volume 19 Issue B6): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Issue Cover
GJMBR Volume 19 Issue B6
Pg. 53- 75
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GJMBR-B Classification: JEL Code: F43
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Technology-Intensive Trade, Economic Growth and CO2 Emissions: ARDL Bounds Test Approach and Causality Analysis for BRICS

Dr. Farha Fatema
Dr. Farha Fatema University of Dhaka
Dr. Mohammad Monirul Islam
Dr. Mohammad Monirul Islam

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