Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/110966
DC FieldValueLanguage
dc.contributor經濟系
dc.creator李文傑;李浩仲zh-tw
dc.creatorLi, Hao-Chung;Lee, Wen-Chieh;Ko, Bo-Tingen-US
dc.date2017-06
dc.date.accessioned2017-07-12T03:54:55Z-
dc.date.available2017-07-12T03:54:55Z-
dc.date.issued2017-07-12T03:54:55Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/110966-
dc.description.abstractThis paper sounds an alarm about disparate efficiencies among China`s regions in the allocation of innovation inputs. A theoretical measure of misallocation is adopted to gauge the distortions that exacerbate the inefficiency of resource allocations across geographic innovation units; these units’ usage of innovative inputs reveals the level of misallocations prevalent within the Chinese economy. The measure of innovation misallocation is computed by utilizing a micro dataset based on information from the China Statistical Yearbook for Science and Technology (CSYST) from 1999 to 2012. In addition, this paper probes the factors that co-move with China`s innovation resource misallocations. We find that, although an advanced financial market is beneficial to innovation efficiency in China, both the government`s extensive development of transportation infrastructure and the preferential treatment given to state-owned enterprises (SOEs) and foreign-invested enterprises (FIEs) negatively correlate with innovation efficiency. We conclude that emerging economies that are experiencing R&D input expansion, such as China, should be cautious in ensuring efficient resource allocations.
dc.format.extent1351631 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationJournal of Macroeconomics, 52, 221-237
dc.subjectResource misallocation; Innovation efficiency; Financial market; Infrastructure investment; Preferential treatment
dc.titleWhat determines misallocation in innovation? A study of regional innovation in China
dc.typearticle
dc.identifier.doi10.1016/j.jmacro.2017.04.005
dc.doi.urihttp://dx.doi.org/10.1016/j.jmacro.2017.04.005
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextrestricted-
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
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