Indian Journal of Industrial Relations: Economics & Social Dev.

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Determinants of Trade, Trade Advantage & Trade Competitiveness in Indian Pharmaceuticals


Affiliations
1 Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, India
     

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This paper analyzes the determinants of trade, trade advantage and trade competitiveness in pharmaceutical industry in India during 2000-2014. Tools such as bivariate correlation coefficient, step-wise regression and multiple regression models were used. The variables such as GDP, Foreign Direct Investment (FDI), Money Supply (M2), Indirect Taxes (IT), Exchange Rate (ER), Population Growth (PG), Real GDP, Per capita GDP and Inflation were used. It was found that the relationship between export, import and total trade with related variables were significant. GDP was the major factor determining the export performance of pharmaceutical industry in India. There was direct relationship between trade openness and money supply and Government Expenditure (GE) was the major factor responsible for the growth of trade balance
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  • Gulshan Akhtar (2013), “Indian Pharmaceutical Industry: An Overview”, IOSR Journal of Humanities and Social Science (IOSR-JHSS) 13(3): 51-66.

  • https://wits.worldbank.org/wits/wits/witshelp/Content/Utilities/e1.trade_indicators.htm

  • NIIR Board, Drugs & Pharmaceutical Technology Handbook, Format: Paperback, ISBN: 8178330547 Code: NI130, Pages: 636, Publisher: Asia Pacific Business Press Inc.


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  • Determinants of Trade, Trade Advantage & Trade Competitiveness in Indian Pharmaceuticals

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Authors

N. M. Varshini
Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, India
M. Manonmani
Department of Economics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore 641043, India

Abstract


This paper analyzes the determinants of trade, trade advantage and trade competitiveness in pharmaceutical industry in India during 2000-2014. Tools such as bivariate correlation coefficient, step-wise regression and multiple regression models were used. The variables such as GDP, Foreign Direct Investment (FDI), Money Supply (M2), Indirect Taxes (IT), Exchange Rate (ER), Population Growth (PG), Real GDP, Per capita GDP and Inflation were used. It was found that the relationship between export, import and total trade with related variables were significant. GDP was the major factor determining the export performance of pharmaceutical industry in India. There was direct relationship between trade openness and money supply and Government Expenditure (GE) was the major factor responsible for the growth of trade balance

References