欧盟商业前采购创新的预算分配设计

IF 1.6 Q3 PUBLIC ADMINISTRATION
N. Dimitri
{"title":"欧盟商业前采购创新的预算分配设计","authors":"N. Dimitri","doi":"10.1108/jopp-07-2019-0036","DOIUrl":null,"url":null,"abstract":"Pre-commercial procurement (PCP), introduced by the European Commission in 2007, is the most important purchasing procedure available to the European Union public sector to solicit innovative solutions from the business sector. As such solutions are not yet in the market, they first require research and development (R&D) activities. PCP is concerned with procuring R&D services only, and typically consists of three phases. This paper aims to discuss how the budget available to the contracting authority (CA) may be optimally allocated along such three phases.,The paper is mostly theoretical and the CA is assumed to maximise the overall probability of success in the PCP, that is the probability of receiving at least one successful proposal at the end of the procedure.,The main finding of the paper suggests that, for a CA, the optimal budget allocation across the three phases of the PCP depends on how likely it is to receive successful proposals in various stages of the procedure, as well as on the rewards paid to the invited companies.,In this paper, the author proposes a methodology for the optimal budget allocation of a CA and discusses how the approach could be practically implemented, pointing out its potential difficulties.,The main social implication of the findings is represented by the best use of the available budget, hence taxpayers’ money.,To the best of the author’s knowledge, no existing paper has discussed the optimal budget allocation in a PCP as in this work.","PeriodicalId":45136,"journal":{"name":"Journal of Public Procurement","volume":"20 1","pages":"88-96"},"PeriodicalIF":1.6000,"publicationDate":"2020-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/jopp-07-2019-0036","citationCount":"0","resultStr":"{\"title\":\"Budget allocation design in the EU pre-commercial procurement for innovation\",\"authors\":\"N. Dimitri\",\"doi\":\"10.1108/jopp-07-2019-0036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pre-commercial procurement (PCP), introduced by the European Commission in 2007, is the most important purchasing procedure available to the European Union public sector to solicit innovative solutions from the business sector. As such solutions are not yet in the market, they first require research and development (R&D) activities. PCP is concerned with procuring R&D services only, and typically consists of three phases. This paper aims to discuss how the budget available to the contracting authority (CA) may be optimally allocated along such three phases.,The paper is mostly theoretical and the CA is assumed to maximise the overall probability of success in the PCP, that is the probability of receiving at least one successful proposal at the end of the procedure.,The main finding of the paper suggests that, for a CA, the optimal budget allocation across the three phases of the PCP depends on how likely it is to receive successful proposals in various stages of the procedure, as well as on the rewards paid to the invited companies.,In this paper, the author proposes a methodology for the optimal budget allocation of a CA and discusses how the approach could be practically implemented, pointing out its potential difficulties.,The main social implication of the findings is represented by the best use of the available budget, hence taxpayers’ money.,To the best of the author’s knowledge, no existing paper has discussed the optimal budget allocation in a PCP as in this work.\",\"PeriodicalId\":45136,\"journal\":{\"name\":\"Journal of Public Procurement\",\"volume\":\"20 1\",\"pages\":\"88-96\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2020-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1108/jopp-07-2019-0036\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Public Procurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jopp-07-2019-0036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC ADMINISTRATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Public Procurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jopp-07-2019-0036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 0

摘要

商业前采购(PCP)由欧盟委员会于2007年推出,是欧盟公共部门可使用的最重要的采购程序,旨在向商业部门征求创新解决方案。由于这些解决方案尚未进入市场,它们首先需要研究与开发(R&D)活动。PCP只涉及采购研发服务,通常包括三个阶段。本文旨在讨论如何在这三个阶段对合同当局(CA)可用的预算进行最佳分配。这篇论文主要是理论性的,假设CA在PCP中最大限度地提高成功的总体概率,即在程序结束时至少收到一个成功提案的概率。本文的主要发现表明,对于CA来说,PCP三个阶段的最优预算分配取决于在程序的各个阶段收到成功提案的可能性,以及支付给受邀公司的奖励。在本文中,作者提出了一种CA最优预算分配的方法,并讨论了该方法如何在实际中实施,指出了其潜在的困难。研究结果的主要社会意义体现在对可用预算(即纳税人的钱)的最佳利用上。据作者所知,没有现有的论文讨论了PCP的最优预算分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Budget allocation design in the EU pre-commercial procurement for innovation
Pre-commercial procurement (PCP), introduced by the European Commission in 2007, is the most important purchasing procedure available to the European Union public sector to solicit innovative solutions from the business sector. As such solutions are not yet in the market, they first require research and development (R&D) activities. PCP is concerned with procuring R&D services only, and typically consists of three phases. This paper aims to discuss how the budget available to the contracting authority (CA) may be optimally allocated along such three phases.,The paper is mostly theoretical and the CA is assumed to maximise the overall probability of success in the PCP, that is the probability of receiving at least one successful proposal at the end of the procedure.,The main finding of the paper suggests that, for a CA, the optimal budget allocation across the three phases of the PCP depends on how likely it is to receive successful proposals in various stages of the procedure, as well as on the rewards paid to the invited companies.,In this paper, the author proposes a methodology for the optimal budget allocation of a CA and discusses how the approach could be practically implemented, pointing out its potential difficulties.,The main social implication of the findings is represented by the best use of the available budget, hence taxpayers’ money.,To the best of the author’s knowledge, no existing paper has discussed the optimal budget allocation in a PCP as in this work.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Public Procurement
Journal of Public Procurement PUBLIC ADMINISTRATION-
CiteScore
4.40
自引率
4.00%
发文量
13
期刊介绍: The Journal of Public Procurement (JOPP) seeks to further the understanding of public procurement. JOPP publishes original, high-quality research that explores the theories and practices of public procurement. The journal ensures that high-quality research is collected and disseminated widely to both academics and practitioners, and provides a forum for debate. It covers all subjects relating to the purchase of goods, services and works by public organizations at a local, regional, national and international level. JOPP is multi-disciplinary, with a broad approach towards methods and styles of research as well as the level of issues addressed. The Journal welcomes the submission of papers from researchers internationally. The journal welcomes research papers, narrative essays, exemplar cases, forums, and book reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信