2020
DOI: 10.1177/2158244019900181
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Innovation Institution and Spatial Transfer of Energy Industry: The Case of Jiangsu Province, China

Abstract: This study aims to explore the effect of innovation institution on spatial transfer of energy industry in Jiangsu, China. We focus on the disparity of innovation and energy industry, and analyze the spatial transfer difference in different types of energy industry, rather than view energy industry as a whole. The study demonstrates the spatial change of energy industry at regional level and maps the spatial pattern at city level. The study chooses intellectual property rights (IPRs) protection intensity, autho… Show more

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Cited by 7 publications
(4 citation statements)
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References 64 publications
(78 reference statements)
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“…Third, it would be enlightening to take other industrial characteristics into consideration, such as technology intensity and resource endowments, when investigating the effect of ETes on GPI. Fourth, spatial heterogeneity may be a potential predictor of corporate GPI (Gao and Zhai, 2021; Gao et al ., 2020). Future studies could explain corporate GPI from this new perspective.…”
Section: Discussionmentioning
confidence: 99%
“…Third, it would be enlightening to take other industrial characteristics into consideration, such as technology intensity and resource endowments, when investigating the effect of ETes on GPI. Fourth, spatial heterogeneity may be a potential predictor of corporate GPI (Gao and Zhai, 2021; Gao et al ., 2020). Future studies could explain corporate GPI from this new perspective.…”
Section: Discussionmentioning
confidence: 99%
“…Some key areas of interest for interventions include fostering innovative work behaviour (AlEssa and Durugbo 2021 ), and reducing barriers (Hueske and Guenther 2015 ). Using transformative policies, pro-innovation institutions also attempt to address inequality in economic systems (Biurrun 2020 ; Perry 2021 ), manage immigrant integration that boosts cultural diversity (Nyseth and Ventura López 2021 ), and confront the conflating challenges of energy development and environmental protection (Gao et al 2020 ). Yet, institutional innovation is difficult and faces unease, disagreement, and conflict due to the dynamic nature and tension between institutional persistence and innovative change (Hargadon and Douglas 2001 ).…”
Section: Institutional Innovation: An Overviewmentioning
confidence: 99%
“…Orji and Liu (2020) employ fuzzy logic and Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS) to study the dynamic behavior of the key drivers of innovation-led lean approaches, and investigate their influence on sustainable performance in the manufacturing supply chain. Gao et al (2020) investigated the effect of innovation institution on the spatial transfer of the energy industry in Jiangsu, China.…”
Section: Literature Reviewmentioning
confidence: 99%