基于DEA模型和Malmquist指数的我国药品安全监管效率评价 点击下载
| 论文标题： | 基于DEA模型和Malmquist指数的我国药品安全监管效率评价 |
| 英文标题： | |
| 中文摘要： | 目的 评价2018年系列新药品安全监管政策颁布后我国药品安全监管效率，为优化我国药品安全监管体系建设、缩小区域差异提供建议。方法基于省级药品监管部门官方网站中的预决算公开平台、国家统计局官方网站获取7个行政区域18个省份的投入-产出指标的面板数据，采用数据包络分析（DEA）模型和Malmquist指数对我国2019－2020年药品安全监管效率进行实证分析。结果与结论DEA分析结果显示，2019－2020年，我国整体药品安全监管的综合技术效率（TE）低于1.000，未达到DEA有效；其中，仅辽宁、广东、广西3个省份的TE均为1.000，各个区域药品安全监管的效率差异显著。Malmquist指数分析结果显示，我国药品安全监管效率整体呈退步趋势，其中技术所支撑的监管能力不足及专业人才流失量大是主要因素，而药品监管部门改善其管理及监管水平可保证整体监管效率的提升；近半数省份（8/18）的药品监管现有规模已接近最优状态。应进一步加强基础建设、重视专业化人才培养，优化药品监管队伍；强化监管技术创新、完善技术支撑体系建设；合理分配监管资源、因地制宜协调各地区监管平衡，完善我国药品安全监管体系建设。 |
| 英文摘要： | OBJEC TIVE To evaluate the efficiency of drug safet y supervision in China after issuing a series of new policies in 2018，and to provide the suggestions for optimizing the construction of drug safety supervision system in China and narrowing regional differences. METHODS The panel data of input-output indexes of 18 provinces in 7 administrative regions were collected from the official website of provincial drug regulatory departments ，the open platform of budget and final accounts and the official website of National Bureau of Statistics. Data envelopment analysis （DEA）model and Malmquist index were adopted to conduct an empirical analysis on the efficiency of drug safety supervision in China during 2019-2020. RESULTS & CONCLUSIONS DEA analysis showed that during 2019-2020，the overall technical efficiency （TE）of drug safety supervision in China was lower than 1.000，which didn ’t meet effective DEA. Only Liaoning ，Guangdong and Guangxi had TE of 1.000，indicating significant differences in efficiency of drug safety supervision in different regions. The results of Malmquist index analysis showed that the overall efficiency of drug safety regulation in China was declining ，among which insufficient regulatory capacity supported by technology and large loss of professional personnel were the main factors ，and the improvement of drug regulatory departments ’ management and supervision level could ensure the improvement of overall regulatory efficiency. The current scale of drug supervision in nearly half of provinces （8/18）was close to the optimal state. It is necessary to strengthen the infrastructure construction and pay attention to the training of professional talents to optimize the drug regulatory team ；strengthen the innovation of supervision technology and improve the construction of technological support system ；rationally allocate regulatory resources and balance regional regulation according to local conditions to improve the construction of drug safety supervision system in China. |
| 期刊： | 2022年第33卷第15期 |
| 作者： | 段晓祥，王淑玲 |
| 英文作者： | DUAN Xiaoxiang ，WANG Shuling |
| 关键字： | 药品安全监管；效率；数据包络分析；Malmquist指数；投入-产出 |
| KEYWORDS： | drug safety supervision ；efficiency；data envelopment analysis ；Malmquist index ；input-output |
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