2019
DOI: 10.1108/cr-09-2018-0059
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Indexing innovation within China

Abstract: Purpose Performed over a five-year time horizon, this paper aims to analyze the progression rates of technological innovation across 15 sub-provincial Chinese cities. The authors quantify and rate innovation performance, then rank the cities based on a purpose-built index designed to gauge the rate of technological progress. Design/methodology/approach Using the inferior constraint method, and a variety of national sources of data, the authors construct an innovation index based in part on new product sales … Show more

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Cited by 6 publications
(4 citation statements)
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“…In addition, China’s regional innovation efficiency is characterized by heterogeneity and agglomeration [ 35 ]. Moreover, the innovation efficiency of provinces in China declines from east to west [ 36 , 37 ]. Therefore, innovation efficiency may have a heterogeneous impact on the ecological footprint of different regions; however, previous or current research has not fully resolved this issue.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In addition, China’s regional innovation efficiency is characterized by heterogeneity and agglomeration [ 35 ]. Moreover, the innovation efficiency of provinces in China declines from east to west [ 36 , 37 ]. Therefore, innovation efficiency may have a heterogeneous impact on the ecological footprint of different regions; however, previous or current research has not fully resolved this issue.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The authors create a framework and use it as a guide to empirically investigate variations in innovation intensity at the national level [137]. The regional factors of innovativeness have been investigated in countries such as Germany [138], China [139], and Poland [140]. The final cluster we discuss is Cluster 10, which focuses on policy innovativeness at the state level ("state" is the most frequently used keyword in this cluster).…”
Section: Plos Onementioning
confidence: 99%
“…(Hang & Yuan-Sheng, 2011) have discovered the influence of technological progress on CO2 emissions in China from 1980 to 2006 and this influence is found to be positive in the early stages but harmful in the later stages. Owing to absence of spending on research and development (R&D), technological improvements may impair environmental quality, preventing the ideal level from being achieved (Cheng et al, 2019;Gu & Wang, 2018;Kivyiro & Arminen, 2014;Reid et al, 2019;Yongping, 2011). However, by employing ARDL and VAR models and using data from 1971 to 2014, (Zhang, 2021) has found that energy and technological innovation, particularly in China's metropolitan areas, are critical for lowering environmental deterioration (Chu, 2022) has conducted a study and looked at how the ecological footprints of 20 OECD countries were affected by environmental technology.…”
Section: Literature Reviewmentioning
confidence: 99%