Growth, Imbalance and Indian Economy

Author:

K.R.Venugopal

Publisher:

I K INTERNATIONAL PUBLISHING HOUSE PVT. LTD.

Rs288 Rs412 30% OFF

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Publisher

I K INTERNATIONAL PUBLISHING HOUSE PVT. LTD.

Publication Year 2007
ISBN-13

9788189866228

ISBN-10 8189866222
Binding

Hardcover

Edition FIRST
Number of Pages 586 Pages
Language (English)
Dimensions (Cms) 24 x 18 x 1
Weight (grms) 801

Professor K Venkatagiri Gowda was an incisive thinker par excellence. His Economic analysis on the budget were very much valued by the Economists and Administrator in the Country. His work has been internationally valued as definitive and path breaking in the Area of Monetary Economics, International finance and Planing. He has received Lord Leverhulme special Research Award, London School of Economics, 1935-55, and the Karnataka Rajotsava Award in 1983. The book is collection of 83 articles written by Professor Gowda which provide solutions to myriad of Economic problems of our Country.

K.R.Venugopal

K.R. Venugopal is serving as the Principal and Dean of Engineering at University Visvesvaraya College of Engineering, Bangalore University, Bangalore. He obtained his Bachelor of Engineering from University Visvesvaraya College of Engineering. He received his Masters degree in Computer Science and Automation from Indian Institute of Science, Bangalore. He was awarded Ph.D. in Economics from Bangalore University and Ph.D. in Computer Science from Indian Institute of Technology, Madras. He has a distinguished academic career and has degrees in Electronics, Economics, Law, Business Finance, Public Relations, Communications, Industrial Relations, Computer Science and Journalism. He has authored 23 books on Computer Science and Economics, which include Petrodollar and the World Economy; C Aptitude; Mastering C; Microprocessor Programming; Mastering C++ and others. During his nearly three decades of service at UVCE he has over 175 research papers to his credit. His research interests include Computer Networks, Parallel and Distributed Systems, Digital Signal Processing and Data Mining.
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