大型科研仪器共享策略研究——以气相色谱仪的在线租赁为例
作者单位:

广东工业大学

基金项目:

教育部人文社会科学基金“数据驱动下具有反转效应的在线资产配置策略研究”(21YJA630117)、教育部人文社科2022年项目“粤港澳大湾区工科院校创新应用型人才培养模式研究:基于产教融合的新型研发机构视角”(22YJC880079)、广东省哲学社会科学2023年度项目“软硬资源协同驱动的粤港澳大湾区高校创新应用型人才培养模式研究”(GD23XJY12)


Research on the sharing strategy of online leasing of large-scale scientific research instruments:A case study of online leasing of gas chromatographs
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    摘要:

    大型科研仪器是科研工作中是必不可少的,但是因为其成本较高,如何有效地利用就成了一个重要课题。鉴于目前在租赁市场中,除了租赁和采购之外,还有更多的租赁形式,结合当前共享经济的快速发展,本文将资本的时间价值纳入其中,以气相色谱仪为例,从大型科研设备的租赁模式出发,对复利二重在线租赁问题进行了探讨。首先,运用竞争分析法建立了这一问题的竞争策略,并根据决策者对今后设备使用的长远期望,对共享二重在线租赁问题进行了风险补偿分析。最后,运用算例分析解释了利率、概率预期和风险容忍对最佳在线策略的影响。结果表明:在不同复利率的情况下,风险补偿策略的最佳决策时机存在差异;决策者预期成功获得的收益与风险容忍度呈正相关;在确定的风险容忍度下,概率预期的引入能够改善大型科研仪器在复利二重在线租赁问题的竞争比性能。

    Abstract:

    Large-scale scientific research instruments play a crucial role in scientific research, but their high cost has made effective utilization a pressing concern. In addition to traditional leasing and purchasing options, the rental market offers various leasing models that leverage the principles of the sharing economy. This article delves into the optimization of capital allocation by considering the time value of capital, using the gas chromatograph as a case study. Specifically, the focus is on the OptionA-B leasing model for large-scale scientific research equipment. The article begins by employing a competitive analysis approach to devise a strategic framework for the OptionA-B online leasing problem. Furthermore, it performs a risk compensation analysis that considers decision makers' long-term expectations regarding equipment utilization. Additionally, through numerical analysis, the article delves into how factors such as interest rates, probability expectations, and risk tolerance affect the optimal online leasing strategy. The findings suggest that fluctuations in compound interest rates result in differences in the ideal timing for deploying risk compensation strategies. Decision makers' projected income is directly correlated with their risk tolerance. Furthermore, incorporating probability expectations can improve the competitive performance of large-scale scientific research instruments in addressing the compound interest dual online leasing issue.

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引用本文

吴静婷,陈泽华,陈冠廷,张永,王亚煦.大型科研仪器共享策略研究——以气相色谱仪的在线租赁为例[J].,2024,44(10).

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历史
  • 收稿日期:2024-04-01
  • 最后修改日期:2024-05-05
  • 录用日期:2024-05-15
  • 在线发布日期: 2025-03-19
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