|Table of Contents|

[1] Yang Ge, Zhao Lindu,. Effect improvement of drug pricing reformbased on multi-channel coordination [J]. Journal of Southeast University (English Edition), 2020, 36 (4): 444-452. [doi:10.3969/j.issn.1003-7985.2020.04.010]
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
36
Issue:
2020 4
Page:
444-452
Research Field:
Economy and Management
Publishing date:
2020-12-20

Info

Title:
Effect improvement of drug pricing reformbased on multi-channel coordination
Author(s):
Yang Ge Zhao Lindu
School of Economics and Management, Southeast University, Nanjing 211189, China
Keywords:
drug pricing reform multi-channel coordination dual-channel model pharmaceutical e-commerce
PACS:
F202
DOI:
10.3969/j.issn.1003-7985.2020.04.010
Abstract:
To improve the effect of the drug pricing reform, a business model of pharmaceutical e-commerce is introduced into the pharmaceutical supply chain. First, based on the measures of the drug pricing reform, a dual-channel model is established, consisting of a drugstore and a hospital. The analysis of the model indicates that the reform leads to higher costs for patients. Then, an e-pharmacy is added to the dual-channel supply chain. Meanwhile, to reduce the home-delivery cost of the e-pharmacy, a multi-channel coordination strategy called “order online, delivery by drugstore” is proposed. By comparing the optimal values under the two models with and without coordination strategy, respectively, the results show that the profits of the e-pharmacy and the drugstore increase while the retail prices of drugs drop, and a large number of patients are diverted from the hospital. Therefore, the business model of pharmaceutical e-commerce with multi-channel coordination can greatly improve the effect of the drug pricing reform.

References:

[1] Zeng J Y, Chen X W, Fu H Q, et al. Short-term and long-term unintended impacts of a pilot reform on Beijing’s zero markup drug policy: A propensity score-matched study[J]. BMC Health Services Research, 2019, 19: 916. DOI:10.1186/s12913-019-4764-z.
[2] Wang X D. Beijing medical care reform[EB/OL].(2017-03-24)[2020-02-01]. http://www.chinadaily.com.cn /opinion/2017-03/24/content_28660140.htm.
[3] Chen L, Wu C, Guo Y, et al. Impacts of the drug markup reduction policy on hospital expenditures of esophageal cancer surgery inpatients in Shanghai, China[J].Public Health, 2020, 179: 118-126. DOI:10.1016/j.puhe.2019.09.023.
[4] Lin J N. Average profit margin of medical e-commerce is -5.5%[EB/OL].(2016-12-01)[2020-02-01]. http://news.163.com/16/1201/06/C76A8NRE000187VE.html.(in Chinese)
[5] Yang L P, Liu C J, Ferrier J A, et al. The impact of the National Essential Medicines Policy on prescribing behaviours in primary care facilities in Hubei Province of China[J]. Health Policy and Planning, 2013, 28(7): 750-760. DOI:10.1093/heapol/czs116.
[6] Yi H M, Miller G, Zhang L X, et al. Intended and unintended consequences of China’s zero markup drug policy[J]. Health Affairs, 2015, 34(8): 1391-1398. DOI:10.1377/hlthaff.2014.1114.
[7] Luan M N, Shao X, Dou F M. Financial conditions, health care provision, and patient outcomes: Evidence from Chinese public hospitals[J]. Economics Letters, 2020, 186: 108876. DOI:10.1016/j.econlet.2019.108876.
[8] Liu S, Xu H, Cui X, et al. How the implementation of drug zero markup policy will affect health care expenditure inhospitals: Observation and prediction based on Zhejiang model[J]. Value in Health, 2014, 17(7): A790. DOI:10.1016/j.jval.2014.08.432.
[9] Zhou Z L, Su Y F, Campbell B, et al. The financial impact of the ‘zero-markup policy for essential drugs’ on patients in County hospitals in western rural China[J]. PLoS One, 2015, 10(3): e0121630. DOI:10.1371/journal.pone.0121630.
[10] Shi X F, Zhu D W, Man X W, et al. “The biggest reform to China’s health system”: Did the zero-markup drug policy achieve its goal at traditional Chinese medicines County hospitals?[J]. Health Policy and Planning, 2019, 34(7): 483-491. DOI:10.1093/heapol/czz053.
[11] Yang C J, Shen Q, Cai W F, et al. Impact of the zero-markup drug policy on hospitalisation expenditure in western rural China: An interrupted time series analysis[J]. Tropical Medicine & International Health, 2017, 22(2): 180-186. DOI:10.1111/tmi.12817.
[12] Wang H, Tang Y, Liu Y, et al. Effect evaluation of national essential medicine system in China: Based on survey data from Shandong, Hubei and Sichuan[J]. Chinese Journal of Health Policy, 2012, 5(4): 30-34. DOI:10.3969/j.issn.1674-2982.2012.04.006. (in Chinese)
[13] Saha S, Sarmah S P, Moon I. Dual channel closed-loop supply chain coordination with a reward-driven remanufacturing policy[J]. International Journal of Production Research, 2016, 54(5): 1503-1517. DOI:10.1080/00207543.2015.1090031.
[14] Xu G Y, Dan B, Zhang X M, et al. Coordinating a dual-channel supply chain with risk-averse under a two-way revenue sharing contract[J]. International Journal of Production Economics, 2014, 147: 171-179. DOI:10.1016/j.ijpe.2013.09.012.
[15] Xiao T J, Qi X T. A two-stage supply chain with demand sensitive to price, delivery time, and reliability of delivery[J]. Annals of Operations Research, 2016, 241(1/2): 475-496. DOI:10.1007/s10479-012-1085-6.
[16] Liao P, Ye F, Wu X L. A comparison of the merchant and agency models in the hotel industry[J]. International Transactions in Operational Research, 2019, 26(3): 1052-1073. DOI:10.1111/itor.12365.
[17] Dan B, Liu C, Xu G Y, et al. Pareto improvement strategy for service-based free-riding in a dual-channel supply chain[J]. Asia-Pacific Journal of Operational Research, 2014, 31(6):1450050.DOI:10.1142/s021759591450050x.
[18] Dumrongsiri A, Fan M, Jain A, et al. A supply chain model with direct and retail channels[J]. European Journal of Operational Research, 2008, 187(3): 691-718. DOI:10.1016/j.ejor.2006.05.044.
[19] Amrouche N, Pei Z, Yan R L. Mobile channel and channel coordination under different supply chain contexts[J]. Industrial Marketing Management, 2020, 84: 165-182. DOI:10.1016/j.indmarman.2019.06.001.
[20] Pei Z, Yan R L. Cooperative behavior and information sharing in the e-commerce age[J]. Industrial Marketing Management, 2019, 76: 12-22. DOI:10.1016/j.indmarman.2018.06.013.
[21] Chen X, Wang X J, Jiang X K. The impact of power structure on the retail service supply chain with an O2O mixed channel[J]. Journal of the Operational Research Society, 2016, 67(2): 294-301. DOI:10.1057/jors.2015.6.
[22] Gao F, Su X M. Omnichannel retail operations with buy-online-and-pick-up-in-store[J]. Management Science, 2017, 63(8): 2478-2492. DOI:10.1287/mnsc.2016.2473.
[23] Gallino S, Moreno A. Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information[J].Management Science, 2014, 60(6): 1434-1451. DOI:10.1287/mnsc.2014.1951.
[24] Liu J R, Xu Q. Joint decision on pricing and ordering for omnichannel BOPS retailers: Considering online returns[J]. Sustainability, 2020, 12(4): 1539. DOI:10.3390/su12041539.
[25] Jiang Y Q, Liu L P, Lim A. Optimal pricing decisions for an omni-channel supply chain with retail service[J]. International Transactions in Operational Research, 2020, 27(6): 2927-2948. DOI:10.1111/itor.12784.
[26] Zhang P, He Y, Zhao X. “Preorder-online, pickup-in-store” strategy for a dual-channel retailer[J].Transportation Research Part E: Logistics and Transportation Review, 2019, 122: 27-47. DOI:10.1016/j.tre.2018.11.001.
[27] Yue X H, Liu J. Demand forecast sharing in a dual-channel supply chain[J]. European Journal of Operational Research, 2006, 174(1): 646-667. DOI:10.1016/j.ejor.2004.12.020.
[28] Huang W, Swaminathan J M. Introduction of a second channel: Implications for pricing and profits[J].European Journal of Operational Research, 2009, 194(1): 258-279. DOI:10.1016/j.ejor.2007.11.041.
[29] Hua G W, Wang S Y, Cheng T C E. Price and lead time decisions in dual-channel supply chains[J]. European Journal of Operational Research, 2010, 205(1): 113-126. DOI:10.1016/j.ejor.2009.12.012.
[30] Hotelling H. Stability in competition[J]. The Economic Journal, 1929, 39(153): 41. DOI:10.2307/2224214.
[31] Larralde H, Stehlé J, Jensen P. Analytical solution of a multi-dimensional Hotelling model with quadratic transportation costs[J].Regional Science and Urban Economics, 2009, 39(3): 343-349. DOI:10.1016/j.regsciurbeco.2009.01.001.

Memo

Memo:
Biographies: Yang Ge(1982—), male, Ph.D. candidate; Zhao Lindu(corresponding author), male, doctor, professor, ldzhao@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.71390333), the Key R & D Plans of Jiangsu Province(No.BE2017156).
Citation: Yang Ge, Zhao Lindu.Effect improvement of drug pricing reform based on multi-channel coordination[J].Journal of Southeast University(English Edition), 2020, 36(4):444-452.DOI:10.3969/j.issn.1003-7985.2020.04.010.
Last Update: 2020-12-20