{"title":"政府补贴对企业R&D支出的影响——来自浙江省的证据","authors":"Hua Cheng, Xianping Chen","doi":"10.1109/IEMC.2006.4279899","DOIUrl":null,"url":null,"abstract":"China government has implemented some schemes of public funds in order to increase R&D intensity of private firms. This study analyzes the effects of public R&D schemes on the innovation activities of private firms in Zhejiang Province of China. The main question in this paper is whether government subsidies to Private R&D stimulate R&D activities or simply crowd out privately financed R&D. Empirically, we investigate the average causal effects of all government subsidies in Zhejiang Province of China using Propensity Score Matching. In order to account for possible selectivity bias, and to improve comparability of firms, two different versions of matching approach are employed. The Nearest neighbor estimator is preferred to the Kernel estimator. The results show that government R&D subsidies do not have a significant effect on R&D expenditures of private firms.","PeriodicalId":153115,"journal":{"name":"2006 IEEE International Engineering Management Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Effect of Government Subsidies on Private R&D Expenditure: --Evidence from Zhejiang Province of China\",\"authors\":\"Hua Cheng, Xianping Chen\",\"doi\":\"10.1109/IEMC.2006.4279899\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"China government has implemented some schemes of public funds in order to increase R&D intensity of private firms. This study analyzes the effects of public R&D schemes on the innovation activities of private firms in Zhejiang Province of China. The main question in this paper is whether government subsidies to Private R&D stimulate R&D activities or simply crowd out privately financed R&D. Empirically, we investigate the average causal effects of all government subsidies in Zhejiang Province of China using Propensity Score Matching. In order to account for possible selectivity bias, and to improve comparability of firms, two different versions of matching approach are employed. The Nearest neighbor estimator is preferred to the Kernel estimator. The results show that government R&D subsidies do not have a significant effect on R&D expenditures of private firms.\",\"PeriodicalId\":153115,\"journal\":{\"name\":\"2006 IEEE International Engineering Management Conference\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Engineering Management Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMC.2006.4279899\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Engineering Management Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMC.2006.4279899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Effect of Government Subsidies on Private R&D Expenditure: --Evidence from Zhejiang Province of China
China government has implemented some schemes of public funds in order to increase R&D intensity of private firms. This study analyzes the effects of public R&D schemes on the innovation activities of private firms in Zhejiang Province of China. The main question in this paper is whether government subsidies to Private R&D stimulate R&D activities or simply crowd out privately financed R&D. Empirically, we investigate the average causal effects of all government subsidies in Zhejiang Province of China using Propensity Score Matching. In order to account for possible selectivity bias, and to improve comparability of firms, two different versions of matching approach are employed. The Nearest neighbor estimator is preferred to the Kernel estimator. The results show that government R&D subsidies do not have a significant effect on R&D expenditures of private firms.