{"title":"激励补贴企业家","authors":"Pietro Santoleri , Emanuele Russo","doi":"10.1016/j.respol.2024.105128","DOIUrl":null,"url":null,"abstract":"<div><p>In the attempt to boost innovation, policy-makers have enacted a myriad of programs targeting innovative start-ups in recent years. Empirical evidence on these initiatives has almost exclusively focused on national-level programs, overlooking those implemented at the local level. This paper provides the first quasi-experimental evidence on the joint effects of local policies focusing on Italy, where regional governments have been very active in providing financial support to these firms. By leveraging discontinuities in program design, we adopt a local randomization approach and document a null effect of these programs over a wide range of firm-level outcomes. However, we find that securing local subsidies increases start-ups’ probability to obtain additional public subsidies, which points in the direction of a <em>vicious</em> “Matthew effect” in subsidy allocation. Consistent with both reputation and learning mechanisms, the increase in follow-on subsidies occurs for funds disbursed at the local level only, whereas no effect is detected for subsidies allocated by national or international authorities.</p></div>","PeriodicalId":48466,"journal":{"name":"Research Policy","volume":"54 1","pages":"Article 105128"},"PeriodicalIF":7.5000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S004873332400177X/pdfft?md5=32b323a44355213d717cad43649269cb&pid=1-s2.0-S004873332400177X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Spurring subsidy entrepreneurs\",\"authors\":\"Pietro Santoleri , Emanuele Russo\",\"doi\":\"10.1016/j.respol.2024.105128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the attempt to boost innovation, policy-makers have enacted a myriad of programs targeting innovative start-ups in recent years. Empirical evidence on these initiatives has almost exclusively focused on national-level programs, overlooking those implemented at the local level. This paper provides the first quasi-experimental evidence on the joint effects of local policies focusing on Italy, where regional governments have been very active in providing financial support to these firms. By leveraging discontinuities in program design, we adopt a local randomization approach and document a null effect of these programs over a wide range of firm-level outcomes. However, we find that securing local subsidies increases start-ups’ probability to obtain additional public subsidies, which points in the direction of a <em>vicious</em> “Matthew effect” in subsidy allocation. Consistent with both reputation and learning mechanisms, the increase in follow-on subsidies occurs for funds disbursed at the local level only, whereas no effect is detected for subsidies allocated by national or international authorities.</p></div>\",\"PeriodicalId\":48466,\"journal\":{\"name\":\"Research Policy\",\"volume\":\"54 1\",\"pages\":\"Article 105128\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S004873332400177X/pdfft?md5=32b323a44355213d717cad43649269cb&pid=1-s2.0-S004873332400177X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research Policy\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S004873332400177X\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Policy","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S004873332400177X","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
In the attempt to boost innovation, policy-makers have enacted a myriad of programs targeting innovative start-ups in recent years. Empirical evidence on these initiatives has almost exclusively focused on national-level programs, overlooking those implemented at the local level. This paper provides the first quasi-experimental evidence on the joint effects of local policies focusing on Italy, where regional governments have been very active in providing financial support to these firms. By leveraging discontinuities in program design, we adopt a local randomization approach and document a null effect of these programs over a wide range of firm-level outcomes. However, we find that securing local subsidies increases start-ups’ probability to obtain additional public subsidies, which points in the direction of a vicious “Matthew effect” in subsidy allocation. Consistent with both reputation and learning mechanisms, the increase in follow-on subsidies occurs for funds disbursed at the local level only, whereas no effect is detected for subsidies allocated by national or international authorities.
期刊介绍:
Research Policy (RP) articles explore the interaction between innovation, technology, or research, and economic, social, political, and organizational processes, both empirically and theoretically. All RP papers are expected to provide insights with implications for policy or management.
Research Policy (RP) is a multidisciplinary journal focused on analyzing, understanding, and effectively addressing the challenges posed by innovation, technology, R&D, and science. This includes activities related to knowledge creation, diffusion, acquisition, and exploitation in the form of new or improved products, processes, or services, across economic, policy, management, organizational, and environmental dimensions.