{"title":"Beyond bean counting: Is the policy effective for the innovation efficiency of wind power industry in China?","authors":"Zihao Jiang, Jiarong Shi, Zhiying Liu, Lei Gong","doi":"10.1093/RESEVAL/RVAB037","DOIUrl":null,"url":null,"abstract":"The technological innovation of wind power is crucial to energy security and energy structure transformation. The Chinese government has been committed to improving the innovation of the wind power industry for decades. Although academic researchers and wind power policymakers have been widely concerned about the absolute score of innovation output, concentrating on innovation output in isolation is ultimately insufficient. This article goes beyond bean counting and evaluates the innovation of the Chinese wind power industry from the perspective of relative efficiency, and then assesses the efforts of the government to improve innovation efficiency (IE). The study uses the data of 105 wind power listed enterprises in China over the period 2008–2019. According to the recommendation made by the existing papers, IE is defined as the capability to generate innovation outputs per unit of R&D investment. Regression analysis is applied to test the policy effect. During 2008–2019, the average value of IE of Chinese wind power industry is 0.196. The IE of wind power enterprises in eastern China (0.265) is higher than that in central and western China (0.169). Besides, the regression results indicate that all categories of wind power innovation policies contribute to the IE of wind power industry in China. Furthermore, the innovation policies issued by the departments of the State Council significantly improve the IE of wind power industry, but the innovation policies from the National People's Congress and the State Council have no significant impacts on IE. [ FROM AUTHOR] Copyright of Research Evaluation is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)","PeriodicalId":47668,"journal":{"name":"Research Evaluation","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Evaluation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1093/RESEVAL/RVAB037","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 8
Abstract
The technological innovation of wind power is crucial to energy security and energy structure transformation. The Chinese government has been committed to improving the innovation of the wind power industry for decades. Although academic researchers and wind power policymakers have been widely concerned about the absolute score of innovation output, concentrating on innovation output in isolation is ultimately insufficient. This article goes beyond bean counting and evaluates the innovation of the Chinese wind power industry from the perspective of relative efficiency, and then assesses the efforts of the government to improve innovation efficiency (IE). The study uses the data of 105 wind power listed enterprises in China over the period 2008–2019. According to the recommendation made by the existing papers, IE is defined as the capability to generate innovation outputs per unit of R&D investment. Regression analysis is applied to test the policy effect. During 2008–2019, the average value of IE of Chinese wind power industry is 0.196. The IE of wind power enterprises in eastern China (0.265) is higher than that in central and western China (0.169). Besides, the regression results indicate that all categories of wind power innovation policies contribute to the IE of wind power industry in China. Furthermore, the innovation policies issued by the departments of the State Council significantly improve the IE of wind power industry, but the innovation policies from the National People's Congress and the State Council have no significant impacts on IE. [ FROM AUTHOR] Copyright of Research Evaluation is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
期刊介绍:
Research Evaluation is a peer-reviewed, international journal. It ranges from the individual research project up to inter-country comparisons of research performance. Research projects, researchers, research centres, and the types of research output are all relevant. It includes public and private sectors, natural and social sciences. The term "evaluation" applies to all stages from priorities and proposals, through the monitoring of on-going projects and programmes, to the use of the results of research.