1993
DOI: 10.1080/10168739300000005
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Economic Development and International Trade

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Cited by 8 publications
(2 citation statements)
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References 16 publications
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“…According to Khan and Saqib (1993), there is a strong correlation between industrial policy instruments and export performance indicator, and empirical results confirm the presence of cointegration among exports and output growth, export growth performance and diversification and structural change in exports for Pakistan over the period of 1973-1998. Arslan and Tatlıdil (2012) conducted a study on the determinants of export diversification around the world, which concludes that export concentration using Gini coefficient as the dependent variable with trade openness, human capital, remoteness, terms of trade, import Kharel (2016) emphasizes that competitiveness in the manufacturing sector and export diversification play a key role.…”
Section: The Literature Reviewmentioning
confidence: 80%
“…According to Khan and Saqib (1993), there is a strong correlation between industrial policy instruments and export performance indicator, and empirical results confirm the presence of cointegration among exports and output growth, export growth performance and diversification and structural change in exports for Pakistan over the period of 1973-1998. Arslan and Tatlıdil (2012) conducted a study on the determinants of export diversification around the world, which concludes that export concentration using Gini coefficient as the dependent variable with trade openness, human capital, remoteness, terms of trade, import Kharel (2016) emphasizes that competitiveness in the manufacturing sector and export diversification play a key role.…”
Section: The Literature Reviewmentioning
confidence: 80%
“…The above equation is simplified form of difference equation that tell us about short run relationship among variables through differencing them, but in the current study we are interested in both short run and long run relationship, therefore we need to look out both short and long run relationship and since the time series have different set of integration order. (Ademola, 2012) (Ahmad, 2000) (Zahoor, 1988) (Khan & Saqib, 1993) argued that if the data are different in orders of integration, ARDL approach is best suitable method because H0: β0= α = Ф1= Ф2= Ф3=0 H1: β0≠α ≠Ф1≠Ф2≠ Ф3≠0…”
Section: 4mentioning
confidence: 99%