Comparing the Efficiency and Productivity of the Indian Pharmaceutical Firms: A Malmquist-Meta-Frontier Approach
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Cited by:
- Chia-Nan Wang & Hector Tibo & Hong Anh Nguyen, 2020. "Malmquist Productivity Analysis of Top Global Automobile Manufacturers," Mathematics, MDPI, vol. 8(4), pages 1-21, April.
- Fernando Gascón & Jesús Lozano & Borja Ponte & David Fuente, 2017. "Measuring the efficiency of large pharmaceutical companies: an industry analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 587-608, June.
- Chiranjib Neogi & Atsuko Kamiike & Takahiro Sato, 2012. "Identification of Factors Behind Performance of Pharmaceutical Industries in India," Discussion Paper Series DP2012-23, Research Institute for Economics & Business Administration, Kobe University.
- Liao, Chun-Hsiung & Lien, Chun-Yu, 2012. "Measuring the technology gap of APEC integrated telecommunications operators," Telecommunications Policy, Elsevier, vol. 36(10), pages 989-996.
- Md. Abul Kalam Azad & Susila Munisamy & Kwek Kian Teng & Muzalwana Binti Abdul Talib & Paolo Saona, 2018. "Productivity Changes of Pharmaceutical Industry in Bangladesh: Does Process Patent Matter?," Global Business Review, International Management Institute, vol. 19(4), pages 1013-1025, August.
- Soumita Khan, 2017. "Efficiency of Indian fertilizer firms: A s tochastic frontier approach," Working Papers 396, Institute for Social and Economic Change, Bangalore.
- Mazumdar, Mainak & Rajeev, Meenakshi & Ray, Subhash C., 2012.
"Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms,"
Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 47(2), pages 191-221.
- Subhash C Ray & Mainak Mazumdar & Meenakshi Rajeev, 2010. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Working Papers id:3334, eSocialSciences.
- Mainak Mazumdar & Meenakshi Rajeev & Subhash Ray, 2011. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Working papers 2011-22, University of Connecticut, Department of Economics.
- Varun Mahajan & D. K. Nauriyal & S. P. Singh, 2020. "Domestic market competitiveness of Indian drug and pharmaceutical industry," Review of Managerial Science, Springer, vol. 14(3), pages 519-559, June.
- José Niño-Amézquita & Fedor Legotin & Oleg Barbakov, 2017. "Economic success and sustainability in pharmaceutical sector: a case of Indian SMEs," Post-Print hal-01735846, HAL.
- Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.
- Tulika Bhattacharya & Meenakshi Rajeev & Indrajit Bairagya, 2018. "Are high-linked sectors more productive in India? An analysis under an input–output framework," Indian Economic Review, Springer, vol. 53(1), pages 333-367, December.
- José Niño-Amézquita & Fedor Legotin & Oleg Barbakov, 2017. "Economic success and sustainability in pharmaceutical sector: a case of Indian SMEs," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 5(1), pages 157-168, September.
- Aas Mohammad & Bandi Kamaiah, 2016. "Efficiency Analysis of Indian Pharmaceutical Companies in the Post-TRIPS and Post Product Patent Regime using Stochastic Frontier Approach," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 19(62), pages 5-24, December.
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More about this item
Keywords
data envelopment analysis; efficiency; global frontier; group frontier; pharmaceutical; technological gap ratio; Malmquist productivity index;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- L6 - Industrial Organization - - Industry Studies: Manufacturing
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