Journal Name:
- Eurasian Journal of Business and Economics
Publication Year:
- 2014
Key Words:
Author Name |
---|
- 14
- English
REFERENCES
Agarwal, S. Yadav, S.P. and Singh. S.P. (2010). DEA based estimation of the technical
efficiency of state transport undertakings in India. OPSEARCH, 47(3), 216-230.
http://dx.doi.org/10.1007/s12597-011-0035-4
Andersen, P. & Petersen, N.C. (1993). A procedure for ranking efficient units in data envelopment
analysis. Management Science, 39(10), 1261-1264. http://dx.doi.org/10.1287/mnsc.39.10.1261
Banker, R.D., Charnes A., Cooper, W.W. (1984). Some models for the estimation of technical
and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-
1092.
http://dx.doi.org/10.1287/mnsc.30.9.1078
Bauer, P. W., Berger, A. N., Ferrier, G. D., & Humphrey, D. B. (1998). Consistency conditions
for regulatory analysis of financial institutions: a comparison of frontier efficiency
methods. Journal of Economics and Business, 50(2), 85-114.
http://dx.doi.org/10.1016/S0148-6195(97)00072-6
Bayyurt, N. and Duzu, G. (2008). Performance measurement of Turkish and Chinese
manufacturing firms: a comparative analysis. Eurasian Journal of Business and Economics, 1
(2), 71-83.
Bhasa, M. P. (2006). Does ownership affect performance? Empirical evidence from the
Indian pharmaceutical industry. Finance India, 20(3), 913-940.
Cambridge Consultants, (2013) India: Driving world pharmaceuticals by 2030? Accessed on
June 18, 2014 from website: http://www.pharmaleaders.tv/wpcontent/
uploads/2013/03/IND2012-DR-006_web-v0.1.pdf
Caves, R.E. (1992). Determinants of technical efficiency in Australia.In Richard E. Caves (eds.),
Industrial Efficiency in Six Nations. Cambridge (Mass): MIT Press, 241-272.
Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the efficiency of decision making
units. European Journal of Operational Research, 2, 429-441.
http://dx.doi.org/10.1016/0377-2217(78)90138-8
Chaudhuri, K. and Das, S. (2006). WTO, the TRIPS and Indian pharmaceutical industry.
Journal of Quantitative Economics, 4(1), 97-110.
Chaudhuri, S.(2005). The WTO and India’s Pharmaceuticals Industry. Oxford University Press,
New Delhi.
Coelli, T., Rao, D.S.P. and Battese, G. (1998). An Introduction to Efficiency and Productivity
Analysis. Kluwar Academic Publishers, London, North Holland.
http://dx.doi.org/10.1007/978-1-4615-5493-6
Cooper, W.W., Lawrence, M.S. and Tone, K. (2006) Introduction to Data Envelopment
Analysis and its Uses. Springer, New York.
Corporate Catalyst India Pvt Ltd (2014) A Brief Report on Pharmaceutical Industry in India.
New Delhi.
Doyle, J.R. and Green, R.H. (1994). Efficiency and cross-efficiency in DEA: derivatives
meaning and uses. Journal of Operational Research Society, 45 (5), 567–578.
http://dx.doi.org/10.1057/jors.1994.84
Dutta Chaudhuri, M., (1990). Background to the current debate on economic reforms: oil shocks,
world trade and adjustment problems for the Indian economy. In: Guha, A. (Ed.), Economic
Liberalization, Industrial Structure and Growth in India, Oxford University Press, New Delhi.
Efficiency and Ranking of Indian Pharmaceutical Industry: Does Type of Ownership Matter?
EJBE 2014, 7 (14) Page | 49
Gagnon, M-A and Lexchin, J. (2008). The cost of pushing pills: A new estimate of
pharmaceutical promotion expenditures in the United States. PLoS Medicine, 5(1): e1.
http://dx.doi.org/10.1371/journal.pmed.0050001
Grace, C. (2004). The effect of changing intellectual property on pharmaceutical industry
prospects in India and China. DFID Health Systems Resource Centre, 1-68.
Greene, W. (2007). The emergence of India's pharmaceutical industry and implications for
the US generic drug market. US International Trade Commissin, Office of Economics.
Hamied, Y.K. (1993). Patents and the pharmaceutical industry: a review. Presentation at the
International Conference on Patent Regime Proposed in the Uruguay Round, New Delhi,
Cipla Ltd.
Hymer, S.H. (1976). The International Operations of National Firms: A Study of Direct Foreign
Investment, The MIT Press, Cambridge, M.A.
ICRA (2002). The Indian Pharmaceutical Industry. ICRA Industry Watch Series, New Delhi.
Joshi, R.N. and Singh, S.P. (2008). Productivity growth and efficiency trends in the Indian
textile industry. Journal of Textile Association, 68(6), 242-250.
Kaur, P. and Kaur, G. (2010). Impact of mergers on the cost efficiency of Indian commercial
banks. Eurasian Journal of Business and Economics, 3 (5), 27-50.
http://dx.doi.org/10.1108/17410400810904029
Kumar, S. and Arora, N. (2012). Evaluation of technical efficiency in Indian sugar industry: an
application of full cumulative data envelopment analysis. Eurasian Journal of Business and
Economics, 5 (9), 57-78.
Kumar, S. and Gulati, R. (2008). Evaluation of technical efficiency and ranking of public sector
banks in India: an analysis from cross-sectional perspective. International Journal of
Productivity and Performance Management, 57(7), 540-568.
Mahajan, V., Nauriyal, D.K. and Singh, S.P. (2014). Technical efficiency analysis of the Indian
drug and pharmaceutical industry: A Non-parametric Approach, Benchmarking: An
International Journal, 21(5), 734-755.
Majumdar, S.K. (1998). Slack in the state -owned enterprises: An evaluation of the impact of
soft -budget constraints. International Journal of Industrial Organization, 16(3), 377 -94.
http://dx.doi.org/10.1016/S0167-7187(96)01043-0
Mazumdar, M. and Rajeev, M. (2009). Comparing the efficiency and productivity of the
Indian pharmaceutical firms: A Malmquist-Meta-Frontier approach. International Journal of
Business and Economics, 8(2), 159-181.
Mazumdar, M., Rajeev, M., & Ray, S. C. (2009). Output and Input Efficiency of Manufacturing
Firms in India: A Case of the Indian Pharmaceutical Sector. Institute for Social and Economic
Change.
Mishra, P. and Chandra, T. (2010). Mergers, acquisitions and firm’s performance: Experience of
Indian pharmaceutical industry. Eurasian Journal of Business and Economics, 3(5): 111-126.
Mogha, S.K., Yadav, S.P. and Singh, S.P. (2014). New slack model based efficiency assessment
of public sector hospitals of Uttarakhand: State of India. International Journal of Systems
Assurance Engineering and Management, 5(1): 32-42. http://dx.doi.org/10.1007/s13198-
013-0207-0
Nauriyal, D. K., &Sahoo, D. (2008). The new IPR regime and Indian drug and pharmaceutical
industry: An empirical analysis. In 3rd Annual Conference of the EPIP Association, Bern,
Switzerland—Gurten Park/October (pp. 3-4).
Varun MAHAJAN, D.K. NAURIYAL& S.P. SINGH
Page |50 EJBE 2014, 7 (14)
Ozcan, Y.A., (2008). Healthcare Benchmarking and Performance Evaluation: An Assessment
Using Data Envelopment Analysis, Springer, New York. http://dx.doi.org/10.1007/978-0-387-
75448-2
Pannu, H.S., Kumar, U.D. and Farooquie, J.A. (2011). Efficiency and productivity analysis of
Indian pharmaceutical industry using data envelopment analysis. International Journal of
Operational Research, 10(1), 121-136. http://dx.doi.org/10.1504/IJOR.2011.037266
Ramanathan, R. (2003). An Introduction to Data Envelopment Analysis: A Tool for
Performance Measurement. Sage Publising, New Delhi.
Saranga, H. (2007). Multiple objective data envelopment analysis as applied to the Indian
Pharmaceutical Industry. Journal of the Operational Research Society, 58(11), 1480-1493.
http://dx.doi.org/10.1057/palgrave.jors.2602280
Saranga, H., & Banker, R. D. (2010). Productivity and technical changes in the Indian
pharmaceutical industry. Journal of the operational research society,61(12), 1777-1788.
http://dx.doi.org/10.1057/jors.2009.142
Saranga, H., &Phani, B. V. (2009). Determinants of operational efficiencies in the Indian
pharmaceutical industry. International transactions in operational research, 16(1), 109-130.
http://dx.doi.org/10.1111/j.1475-3995.2009.00668.x
Seiford, L.M. and Zhu, J. (1998). Stability regions for maintaining efficiency in data
envelopment analysis.European Journal of Operational Research, 108, 127-39.
http://dx.doi.org/10.1016/S0377-2217(97)00103-3
Shivdas, A.P. (2012). Resource Based View of Performance Measurement of Pharmaceutical
Companies in India: Sales versus Efficiency, Amrita School of Business, Working Paper
No.120.
Sinuany-Stern, Z. & Friedman L. (1998). DEA and the discriminant analysis of ratios for
ranking units. European Journal of Operations Research, 111, 470–478.
http://dx.doi.org/10.1016/S0377-2217(97)00313-5
Sinuany-Stern, Z., Mehrez, A. and Barboy, A. (1994). Academic departments efficiency via
DEA. Computer and O.R. 21 (5), 543–556. http://dx.doi.org/10.1016/0305-0548(94)90103-1
Sueyoshi, T. &Kirihara A. (1998). Efficiency measurement and strategic classification of
Japanese banking institutes. International Journal of Systems Science, 29, 1249-1263.
http://dx.doi.org/10.1080/00207729808929613
Tone, K. (2002). A slacks-based measure of super-efficiency in data Envelopment Analysis.
European Journal of Operational Research, 143, 32-41. http://dx.doi.org/10.1016/S0377-
2217(01)00324-1
Tyagi, S., Mahajan, V. and Nauriyal, D.K. (2014). Innovations in Indian drug and
pharmaceutical industry: Have they impacted exports?. Journal of Intellectual Property
Rights, 19 (July), 243-252
Yao, C. (2003). Measuring super-efficiency in DEA in presence of infeasibility. European
Journal of Operational research, 161(2), 429–444.
Yawe, B. (2010). Hospital performance evaluation in Uganda: a super-efficiency data
envelope analysis model. Zambia Social Science Journal, 1(1): 79-105
Zhu, J. (2001). Super-efficiency and DEA sensitivity analysis. European Journal of Operational
Research, 129, 443-455. http://dx.doi.org/10.1016/S0377-2217(99)00433-6.