Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This paper examines the causal relationship between carbon (CO 2 ) emissions and economic growth in seven SAARC countries using time series data for the period from 1972-2012. We applied Vector Error Correction Modeling (VECM) approach. We have also applied Augmented DickeyFuller (ADF) and Phillips-Perron (P.P) test and Johansen’s cointegration approach to check time series properties and cointegration relationship of the variables. Results exhibit a cointegration relationship between environmental pollution and economic growth. Results also show that the estimated coefficients of (CO 2 ) emissions have positive and significant impacts on GDP in the long run. These results will help the environmental authorities to understand the effects of economic growth on environment for degradation and manage the environmental problems using macroeconomic methods.
Mirza Md. Moyen Uddin. 2014. \u201cCarbon Emission and Economic Growth of SAARC Countries: A Vector Autoregressive (VAR) Analysis\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 14 (GJHSS Volume 14 Issue E3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 101
Country: Bangladesh
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Mirza Md. Moyen Uddin and Md. Abdul Wadud (PhD/Dr. count: 0)
View Count (all-time): 136
Total Views (Real + Logic): 4636
Total Downloads (simulated): 2495
Publish Date: 2014 07, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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This paper examines the causal relationship between carbon (CO 2 ) emissions and economic growth in seven SAARC countries using time series data for the period from 1972-2012. We applied Vector Error Correction Modeling (VECM) approach. We have also applied Augmented DickeyFuller (ADF) and Phillips-Perron (P.P) test and Johansen’s cointegration approach to check time series properties and cointegration relationship of the variables. Results exhibit a cointegration relationship between environmental pollution and economic growth. Results also show that the estimated coefficients of (CO 2 ) emissions have positive and significant impacts on GDP in the long run. These results will help the environmental authorities to understand the effects of economic growth on environment for degradation and manage the environmental problems using macroeconomic methods.
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