DOI QR코드

DOI QR Code

An Analysis on the Determinants of Efficiency of the Pharmaceutical Firms using Stochastic Frontier Analysis

Stochastic Frontier Analysis를 이용한 제약회사의 효율성과 그 결정요인분석

  • Received : 2015.02.14
  • Accepted : 2015.06.19
  • Published : 2015.06.30

Abstract

Background & Methods: The purpose of this research is to estimate the efficiency of the pharmaceutical firms and the determinants of their efficiency. Stochastic frontier analysis(SFA) and panel study are applied to the data of 60 domestic pharmaceutical firms from 2006 to 2012. Results & Conclusion: First, the result of the stochastic frontier analysis shows that overall efficiency of the pharmaceutical firms is increasing as time goes by. However, if firms are classified by the scale, the larger firms show more efficiency and if classified by the degree of innovativeness, the innovative firms show more efficiency compared to the non-innovative firms. This evidences show that the scale and R&D investment have significant relationships with the efficiency of the pharmaceutical firms. Therefore, it is necessary to increase the national level of investment for the fundamental researches to vitalize R&D of the new drugs. Second, the result of estimation of the determinants of efficiency shows that the firms with larger sales promotion expenses and entertainment expenses have less efficiency compared to the other firms. This can be explained by the structural characteristics of the small generic pharmaceutical firms. Therefore, the government had better make the pharmaceutical firms to reduce sales promotion and entertainment expenses and increase R&D expenses by introducing systems such as global budgeting system on medicine or reference pricing system.

Keywords

References

  1. Korea Health Industry Development Institute. Health industry statistics. Cheongju: Korea Health Industry Development Institute; 2012.
  2. Kim WB, Kim WS. Dynamic efficiency measurement for Korean pharmaceutical industry using a DEA model. Korean Manag Rev 2002;31(6):1747-1762.
  3. Lee DH, Heo JM, An JH. Advertising expense efficiency analysis of domestic pharmaceutical companies using super DEA: focused on the changing of the advertising expense efficiency to sales of the separation of prescribing and dispensing before and 10 years later. Korean J Advert 2013;24(1):157-181.
  4. Battese GE, Coelli TJ. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 1995;20(2):325-332. DOI: http://dx.doi.org/10.1007/bf01205442.
  5. Ryu SL. Alternative efficiency measures and their determinants in Korean regional tax offices using a stochastic frontier production function. Korean J Tax Res 2013;30(1):135-161.
  6. Battese GE, Corra GS. Estimation of a production frontier model: with application to the pastoral zone of Eastern Australia. Aust J Agric Econ 1977;21(3):169-179. DOI: http://dx.doi.org/10.1111/j.1467-8489.1977.tb00204.x
  7. Kumbhakar SC. Production frontiers, panel data, and time-varying technical inefficiency. J Econ 1990;46(1-2):201-211. DOI: http://dx.doi.org/10.1016/0304-4076(90)90055-x.
  8. Jung SM, Yoo HJ. An analysis on the efficiency and productivity of the domestic pharmaceutical companies. Product Rev 2011;25(4):239-265. DOI: http://dx.doi.org/10.15843/kpapr.25.4.201112.239.
  9. You T, Chen X, Holder ME. Efficiency and its determinants in pharmaceutical industries: ownership, R&D and scale economy. Appl Econ 2010;42(17): 2217-2241. DOI: http://dx.doi.org/10.1080/00036840701765445.
  10. Saranga H, Phani BV. Determinants of operational efficiencies in the Indian pharmaceutical industry. Int Trans Oper Res 2009;16(1):109-130. DOI: http://dx.doi.org/10.1111/j.1475-3995.2009.00668.x.
  11. Luo X, Donthu N. Assessing advertising media spending inefficiencies in generating sales. J Bus Res 2005;58(1):28-36. DOI: http://dx.doi.org/10.1016/S0148-2963(03)00076-6.
  12. Sakong J, Lee KS. A study on the effect of the policy for the optimization of the pharmaceutical expenditures in Korean National Health Insurance System. Korean J Health Econ Policy 2007;13(1):139-172.
  13. Korea Drug Research Association. Korean research-based pharmaceutical industry white paper. Seoul: Korea Drug Research Association; 2012.
  14. LeeHK. Pharmaceutical companies in top entertainment expenses spending [Internet]. Seoul: Medical News; 2014 [cited 2015 May 7]. Available from: http://www.bosa.co.kr/umap/sub.asp?news_pk=575578.
  15. Cho HS. A study about the entertainment expences accounted for pharmaceutical company on the how practitioners preferences. J Korean Bus Educ 2011;21:75-100.
  16. Basu P, Joglekar G, Rai S, Suresh P, Vernon J. Analysis of manufacturing costs in pharmaceutical companies. J Pharm Innov 2008;3(1):30-40. DOI: http://dx.doi.org/10.1007/s12247-008-9024-4.
  17. Choi JY, Kim KS, Kim DH. Productive efficiency of the coastal fishing business: a comparison of data envelopment analysis and stochastic frontier analysis. J Korean Oper Res Manag Sci Soc 2010;35(3):59-68.
  18. Cin BC, Lee EY. Effects of R&D and exports on technical efficiency using stochastic frontier approach. Korean Corp Manag Rev 2010;17(1):1-21.
  19. Fare R, Grosskopf S, Lindgren B, Roos P. Productivity changes in Swedish pharmacies 1980-1989: a non-parametric Malmquist approach. J Product Anal 1992;3(1-2):85-101. DOI: http://dx.doi.org/10.1007/BF00158770.
  20. Gonzalez E, Gascon F. Sources of productivity growth in the Spanish pharmaceutical industry (1994-2000). Res Policy 2004;33(5):735-745. DOI: http://dx.doi.org/10.1016/j.respol.2003.12.004.
  21. Ha GR, Lee KT. Assessing advertising expenses efficiency of major advertiser in Korea. Korean J Bus Admin 2011;24(6):3655-3675.
  22. Henderson R, Cockburn I. Scale, scope, and spillovers: the determinants of research productivity in drug discovery. RAND J Econ 1996;27(1):32-59. https://doi.org/10.2307/2555791
  23. Hong SJ, Park JH. An analysis on the technical efficiency of garlic farming in Korea. J Agric Life Sci 2008;42(4):59-68.
  24. Kim HS, Song JH. A study on the efficiency analysis of abalone aquaculture in Wando region using stochastic frontier approach. J Fish Bus Admin 2012;43(2):67-77. DOI: http://dx.doi.org/10.12939/FBA.2012.43.2.067.
  25. Kim JG. R&D investment effect at the manufacture of medicine. Korean Health Econ Rev 2003;9(1):47-58.
  26. Kim JM, Ham US, Rhieu SY. Analysis of efficiency in hospitals by stochastic frontier approach. Korean J Bus Admin 2009;22(4):1867-1889.
  27. Kim YK, Lim CK. Comparison of total factor productivity of major terrestrial broadcasting companies in the world. Rev Cult Econ 2011;14(1): 124-143.
  28. Korea Health Industry Development Institute. Health industry white paper. Cheongju: Korea Health Industry Development Institute; 2012.
  29. Korea Pharmaceutical Manufacturers Association. Pharmaceutical industry statistics. Seoul: Korea Pharmaceutical Manufacturers Association; 2010.
  30. Mazumdar M, Rajeev M. Comparing the efficiency and productivity of the Indian pharmaceutical firms: a Malmquist-meta-frontier approach. Int J Bus Econ 2009;8(2):159-181.
  31. Park RK. A brief efficiency measurement way for the Korean container terminals using stochastic frontier analysis. J Korea Port Econ Assoc 2010;26(4):63-87.
  32. Roh JH. The measuring the effect of ICT on technical efficiency in SMEs by using stochastic frontier model. J Mark Econ 2011;40(1):1-26.
  33. Sakong J, Shin YW. An analysis on the effect of the government R&D subsidies on the private R&D investments: in the case of the pharmaceutical industry. Korean J Health Policy Admin 2010;20(1):183-203. https://doi.org/10.4332/KJHPA.2010.20.1.183
  34. Shibayama S, Tanikawa K, Fujimoto R, Kimura H. Effect of mergers and acquisitions on drug discovery: perspective from a case study of a Japanese pharmaceutical company. Drug Discov Today 2008;13(1-2):86-93. DOI: http://dx.doi.org/doi:10.1016/j.drudis.2007.10.015.
  35. Shibayama S, Tanikawa K, Fujimoto R, Kimura H. Effect of mergers and acquisitions on drug discovery: perspective from a case study of a Japanese pharmaceutical company. Drug Discov Today 2008;13(1-2):86-93. DOI: http://dx.doi.org/doi:10.1016/j.drudis.2007.10.015.
  36. Yoo KR. Comparing the efficiency of public financial agencies and private banks using the stochastic distance frontier function. Korean Public Admin Rev 2010;44(4):285-315.