{"title":"通过在线农业平台提高农民收入:来自实地的证据","authors":"Retsef Levi, Manoj Rajan, Somya Singhvi, Yanchong Zheng","doi":"10.1287/msom.2022.0437","DOIUrl":null,"url":null,"abstract":"Problem definition: To improve the welfare of smallholder farmers, multiple countries (e.g., Ethiopia and India) have launched online agri-platforms to transform traditional markets. However, there is still mixed evidence regarding the impact of these platforms and, more generally, how they can be leveraged to enable more efficient agricultural supply chains and markets. This paper describes work conducted in close collaboration with the state government of Karnataka, India, to design, implement, and assess the impact of a new two-stage auction on the state’s online agri-platform, the United Market Platform (UMP). Methodology/results: To ensure implementability and protect farmers’ revenue, the auction design is guided by practical operational considerations, as well as semistructured interviews with a majority of the traders in the field. A new behavioral auction model informed by the field insights is developed to determine when the proposed two-stage auction can generate a higher revenue for farmers than the traditional single-stage, first-price, sealed-bid auction. The new auction mechanism was implemented on the UMP for a major market of lentils in February 2019. By the end of May 2019, commodities worth more than $6 million (USD) had been traded under the new auction. A difference-in-differences analysis demonstrates that the implementation has yielded a significant 3.6% price increase (corresponding to a 55%–94% profit gain) for over 10,000 farmers who traded in the treatment market. Managerial implications: The results from this paper offer tangible lessons on how innovative price discovery mechanisms could be enabled by online agri-platforms in resource-constrained environments. Importantly, the success of these designs critically depends on careful considerations of systemic operational and behavioral factors that affect trades in the physical markets.History: This paper has been accepted as part of the 2023 Manufacturing & Service Operations Management Practice-Based Research Competition.Funding: Financial support from the Tata Center for Technology and Design at MIT and the National Science Foundation [Grant 1452875] is gratefully acknowledged.Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0437 .","PeriodicalId":501267,"journal":{"name":"Manufacturing & Service Operations Management","volume":"81 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving Farmers’ Income on Online Agri-Platforms: Evidence from the Field\",\"authors\":\"Retsef Levi, Manoj Rajan, Somya Singhvi, Yanchong Zheng\",\"doi\":\"10.1287/msom.2022.0437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Problem definition: To improve the welfare of smallholder farmers, multiple countries (e.g., Ethiopia and India) have launched online agri-platforms to transform traditional markets. However, there is still mixed evidence regarding the impact of these platforms and, more generally, how they can be leveraged to enable more efficient agricultural supply chains and markets. This paper describes work conducted in close collaboration with the state government of Karnataka, India, to design, implement, and assess the impact of a new two-stage auction on the state’s online agri-platform, the United Market Platform (UMP). Methodology/results: To ensure implementability and protect farmers’ revenue, the auction design is guided by practical operational considerations, as well as semistructured interviews with a majority of the traders in the field. A new behavioral auction model informed by the field insights is developed to determine when the proposed two-stage auction can generate a higher revenue for farmers than the traditional single-stage, first-price, sealed-bid auction. 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引用次数: 0
摘要
问题定义:为了改善小农的福利,多个国家(如埃塞俄比亚和印度)推出了在线农业平台,以改变传统市场。然而,关于这些平台的影响,以及更广泛地讲,如何利用这些平台实现更高效的农业供应链和市场,目前仍证据不一。本文介绍了与印度卡纳塔克邦政府密切合作,在该邦的在线农业平台--联合市场平台(UMP)上设计、实施和评估新的两阶段拍卖的工作。方法/结果:为确保可实施性并保护农民收入,拍卖设计以实际操作考虑因素以及与现场大多数交易商的半结构式访谈为指导。根据实地考察结果建立了一个新的行为拍卖模型,以确定何时拟议的两阶段拍卖能为农民带来比传统的单阶段、第一价格、密封出价拍卖更高的收益。新的拍卖机制于 2019 年 2 月在小扁豆主要市场的 UMP 上实施。截至 2019 年 5 月底,在新拍卖机制下交易的商品价值超过 600 万美元。差异分析表明,对于在处理市场进行交易的 10,000 多名农民来说,新机制的实施使价格大幅上涨了 3.6%(相当于 55%-94% 的利润收益)。管理意义:本文的研究结果为在线农业平台如何在资源有限的环境中启用创新价格发现机制提供了切实可行的经验。重要的是,这些设计的成功关键取决于对影响实物市场交易的系统性操作和行为因素的仔细考虑:本论文已作为 2023 年制造与amp; 服务运营管理实践研究竞赛的一部分被接受:感谢麻省理工学院塔塔技术与设计中心(Tata Center for Technology and Design at MIT)和美国国家科学基金会(National Science Foundation [Grant 1452875])的资助:在线附录见 https://doi.org/10.1287/msom.2022.0437 。
Improving Farmers’ Income on Online Agri-Platforms: Evidence from the Field
Problem definition: To improve the welfare of smallholder farmers, multiple countries (e.g., Ethiopia and India) have launched online agri-platforms to transform traditional markets. However, there is still mixed evidence regarding the impact of these platforms and, more generally, how they can be leveraged to enable more efficient agricultural supply chains and markets. This paper describes work conducted in close collaboration with the state government of Karnataka, India, to design, implement, and assess the impact of a new two-stage auction on the state’s online agri-platform, the United Market Platform (UMP). Methodology/results: To ensure implementability and protect farmers’ revenue, the auction design is guided by practical operational considerations, as well as semistructured interviews with a majority of the traders in the field. A new behavioral auction model informed by the field insights is developed to determine when the proposed two-stage auction can generate a higher revenue for farmers than the traditional single-stage, first-price, sealed-bid auction. The new auction mechanism was implemented on the UMP for a major market of lentils in February 2019. By the end of May 2019, commodities worth more than $6 million (USD) had been traded under the new auction. A difference-in-differences analysis demonstrates that the implementation has yielded a significant 3.6% price increase (corresponding to a 55%–94% profit gain) for over 10,000 farmers who traded in the treatment market. Managerial implications: The results from this paper offer tangible lessons on how innovative price discovery mechanisms could be enabled by online agri-platforms in resource-constrained environments. Importantly, the success of these designs critically depends on careful considerations of systemic operational and behavioral factors that affect trades in the physical markets.History: This paper has been accepted as part of the 2023 Manufacturing & Service Operations Management Practice-Based Research Competition.Funding: Financial support from the Tata Center for Technology and Design at MIT and the National Science Foundation [Grant 1452875] is gratefully acknowledged.Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0437 .