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基于熵权TOPSIS法的我国各地区医药产业资源承载力研究
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| 篇名： | 基于熵权TOPSIS法的我国各地区医药产业资源承载力研究 |
| TITLE： | Study on resource carrying capacity of pharmaceutical industry in various regions of China based on entropy weight TOPSIS method |
| 摘要： | 目的 为提高我国医药产业资源承载力、保障医药产业健康持续发展提供参考。方法构建包含4个一级指标和17个二级指标的资源承载力评价体系，收集2013－2020年我国31个省（自治区、直辖市）（以下简称“省份”）的上述指标数据，运用熵权优劣解距离法计算各指标权重和各省份的贴近度。结果与结论4个一级指标的权重分别为0.1820（产业规模）、0.3495（创新资源）、0.2115（经济资源）和0.2571（发展基础），提示创新资源是影响我国医药产业资源承载力的主要因素，产业发展基础和经济资源次之，产业规模的影响最小。2013－2016、2018－2020年我国各省份医药产业平均贴近度按年计算分别为0.2596、0.2671、0.2536、0.2499、0.2505、0.2485、0.2520，提示我国医药产业资源承载力呈稳定发展的趋势，但总体发展水平较低。江苏、广东、山东、浙江、北京等省份的承载力贴近度排名靠前，甘肃、海南、青海、西藏、宁夏等省份的排名靠后，总体呈现出由东部沿海地区向西部内陆地区逐步递减的趋势。对于医药产业资源承载力排名靠前的省份，可在保持原有承载力的基础上，进一步深化发展；对于医药产业资源承载力位于中间的省份，增强发展潜力、完善产业基础是提高其医药产业资源承载力水平的主要方法；对于医药产业资源承载力排名靠后的省份，可考虑从自身独特优势出发，充分利用特色产业资源，形成特色产业基础，积极推动区域间合作，实施区域集群化发展，提高医药产业资源承载力。 |
| ABSTRACT： | OBJECTIVE To provide reference for improving resource carrying capacity of pharmaceutical industry and guaranteeing the healthy and sustainable development of pharmaceutical industry of China. METHODS The evaluation system of resource carrying capacity was constructed ，including 4 primary indicators and 17 secondary indicators. The data of above indicators were selected from 31 provinces（autonomous regions and municipalities ）（hereinafter referred to as provinces ）of China during 2013-2020. The index weight and regional relevance were calculated by entropy weight technique for order preference by similarity to ideal solution（TOPSIS）method. RESULTS & CONCLUSIONS The weights of 4 primary indicators were 0.182 0 （industrial scale ），0.349 5（industrial innovation resources ），0.211 5（economic resources ）and 0.257 1（industrial development foundation）. It indicated that industrial innovation resources were the main factor affecting the resource carrying capacity of pharmaceutical industry ，followed by industrial development foundation and economic resources ，and the impact of industrial scale was the least. From 2013 to 2016 and from 2018 to 2020，the average closeness of the pharmaceutical industry in China ’s provinces were 0.259 6，0.267 1，0.253 6，0.249 9，0.250 5，0.248 5 and 0.252 0，respectively. It indicated that the resource carrying capacity of China ’s pharmaceutical industry showed a stable development trend ，but the overall development was in low level. The top 5 regions in terms of closeness of carrying capacity were Jiangsu ，Guangdong，Shandong，Zhejiang and Beijing ；the regions in the bottom 5 were Gansu ，Hainan，Qinghai，Tibet and Ningxia. Overall ，the resource carrying capacity of China ’s pharmaceutical industry showed a gradual decreasing trend from the eastern coastal area to the western inland area. For the provinces with the highest resource carrying capacity of pharmaceutical industry ，further development can be carried out on the basis of maintaining the original carrying capacity ；for the provinces with the middle resource carrying cap acity of p harmaceutical industry ，enhancing the development potential and improving the industrialfoundation are the main methods to improve the resource carrying capacity of pharmaceutical industry ；for the provinces wangjl@126.com with low resource carrying capacity of pharmaceutical industry ， it can be considered to start from their own unique advantages ， make full use of characteri stic industrial resources ，form a characteristic industrial foundation ，actively promote interregional cooperation ，implement regional cluster development and improve the resource carrying capacity of pharmaceutical industry. |
| 期刊： | 2022年第33卷第10期 |
| 作者： | 王佳洛，杨欢，公令臣，褚淑贞 |
| AUTHORS： | WANG Jialuo，YANG Huan，GONG Lingchen ，CHU Shuzhen |
| 关键字： | 医药产业资源；承载力；熵权法；优劣解距离法 |
| KEYWORDS： | pharmaceutical industry resources ；carrying capacity ；entropy weight method ；technique for order preference |
| 阅读数： | 171 次 |
| 本月下载数： | 3 次 |
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