Vertical collusion in public procurement: Estimation based on data for R&D composite auctions8

被引:0
|
作者
Belev, S. G. [1 ]
Veterinarov, V. V. [2 ,3 ]
Matveev, E. O. [1 ]
机构
[1] Lomonosov Moscow State Univ, Inst Appl Econ Res RANEPA, Moscow, Russia
[2] UCL, London, England
[3] Lomonosov Moscow State Univ, Moscow, Russia
关键词
vertical collusion; public procurement; composite auctions; R&D; affiliation; quality criterion; tobit; SPENDING EVIDENCE; PROPENSITY SCORE; COMPETITION; CORRUPTION; DESIGN; SELECTION; IMPACT; MODEL;
D O I
10.31737/22212264_2023_2_36-63
中图分类号
F [经济];
学科分类号
02 ;
摘要
One of the key problems in public procurement researchisidentifying violation signs, including vertical collusion. This paper discusses composite auctions (with a selection of a winner based not only on the price criterion) in the procurement for the results of research and development (R&D) work in Russia. Using the metric of interaction frequency, we identified suppliers that were potentially affiliated with customers. The results of econometric modeling suggest that potentially affiliated suppliers win with the final price closer to the initial maximum contract price (IMCP) than independent suppliers. This result is robust to specification changes and different evaluation methods. Potentially affiliated participants have higher quality scores in contests with potentially affiliated organizers. At the same time, independent participants receive lower scores in such auctions. Therefore, a potentially affiliated participant could set a higher price, winning due to an overstated quality criterion.
引用
收藏
页码:35 / 63
页数:29
相关论文
共 50 条
  • [31] A serialized civil aircraft R&D cost estimation model considering commonality based on BP algorithm
    Zhang, Yongjie
    Cao, Kang
    Liang, Ke
    Zeng, Yongqi
    Dong, Wenjun
    CHINESE JOURNAL OF AERONAUTICS, 2022, 35 (04) : 253 - 265
  • [32] R&D and Patent Data for Empirical Analysis for Evidence Based Science, Technology and Innovation Policy
    Motohashi, Kazuyuki
    2014 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING & TECHNOLOGY (PICMET), 2014, : 1301 - 1312
  • [33] A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem
    Karasakal, Esra
    Aker, Pinar
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2017, 73 : 79 - 92
  • [34] R&D and non-R&D in the innovation process among firms in ASEAN countries Based on firm-level survey data
    Tsuji, Masatsugu
    Ueki, Yasushi
    Shigeno, Hidenori
    Idota, Hiroki
    Bunno, Teruyuki
    EUROPEAN JOURNAL OF MANAGEMENT AND BUSINESS ECONOMICS, 2018, 27 (02) : 198 - 214
  • [35] A Cloud Computing-Based Analysis System for the National R&D Information Concerning with the Data Security
    Yong-Ki Kim
    Hanjo Jeong
    Wireless Personal Communications, 2016, 89 : 977 - 992
  • [36] R&D trend analysis based on patent mining: An integrated use of patent applications and invalidation data
    Han, Xiaotong
    Zhu, Donghua
    Lei, Ming
    Daim, Tugrul
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 167
  • [37] A Cloud Computing-Based Analysis System for the National R&D Information Concerning with the Data Security
    Kim, Yong-Ki
    Jeong, Hanjo
    WIRELESS PERSONAL COMMUNICATIONS, 2016, 89 (03) : 977 - 992
  • [38] Study on the R&D performance of high-tech industry in China - based on data envelopment analysis
    Ge H.
    Yang S.-Y.
    Journal of Interdisciplinary Mathematics, 2017, 20 (03) : 909 - 920
  • [39] Political Participation, R&D Intensity and Carbon Emission Intensity - An Empirical Study Based on Panel Data
    Li Zhi
    Zan Yangyang
    Yuan Jinfeng
    PROCEEDINGS OF THE 11TH EURO-ASIA CONFERENCE ON ENVIRONMENT AND CSR: TOURISM, SOCIETY AND EDUCATION SESSION (PART I), 2015, : 71 - 78
  • [40] The impact of the centralized volume-based procurement policy on Chinese pharmaceutical manufacturing firms' R&D investment: A difference-in-differences approach
    Qiu, Fangjun
    Chen, Shouming
    Li, Yujia
    Wang, Xianjing
    Zhu, Mengfei
    PLOS ONE, 2025, 20 (01):