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
Article Fingerprint
ReserarchID
RION1
This study aims to examine empirically the impact of various determinants on exports in Pakistan using secondary data over the period from1981-2011.This area was selected for research because trade is equivalent to an engine of economic growth. For empirical analysis after checking the data for stationarity the least square method has been used. The empirical results show positive and statistically significant impacts of explanatory variables such as world income, industry value added, indirect taxes, exchange rate and saving on exports of Pakistan during the study period. The finding suggests that the volume of exports needs to be expanded maximally by appropriate policy and it certainly contribute well in achieving higher level of economic growth.
Dr. Muhammad Azam. 1970. \u201cAn Investigation of the Various Factors Influence on Exports\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 12 (GJMBR Volume 12 Issue B19): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
Total Score: 133
Country: United States
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Mr. Muhammad Nadeem, Muhammad Azam, Rabiul Islam (PhD/Dr. count: 0)
View Count (all-time): 177
Total Views (Real + Logic): 20768
Total Downloads (simulated): 10953
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
This study aims to examine empirically the impact of various determinants on exports in Pakistan using secondary data over the period from1981-2011.This area was selected for research because trade is equivalent to an engine of economic growth. For empirical analysis after checking the data for stationarity the least square method has been used. The empirical results show positive and statistically significant impacts of explanatory variables such as world income, industry value added, indirect taxes, exchange rate and saving on exports of Pakistan during the study period. The finding suggests that the volume of exports needs to be expanded maximally by appropriate policy and it certainly contribute well in achieving higher level of economic growth.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.