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Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)

Citations

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  1. Chen, Ping-Chuan & Hung, Shiu-Wan, 2016. "An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 303-312.
  2. Li, Hao-Chung & Lee, Wen-Chieh & Ko, Bo-Ting, 2017. "What determines misallocation in innovation? A study of regional innovation in China," Journal of Macroeconomics, Elsevier, vol. 52(C), pages 221-237.
  3. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2020. "Reprint of "Performance evaluation of China's high-tech innovation process :Analysis based on the innovation value chain"," Technovation, Elsevier, vol. 94.
  4. Kai Xu & Lawrence Loh & Qiang Chen, 2020. "Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
  5. Liu, Meng-chun & Chen, Shin-Horng, 2012. "MNCs’ offshore R&D networks in host country's regional innovation system: The case of Taiwan-based firms in China," Research Policy, Elsevier, vol. 41(6), pages 1107-1120.
  6. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
  7. Kao, Chiang, 2014. "Efficiency decomposition for general multi-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 232(1), pages 117-124.
  8. Xie, Xuemei & Liu, Xiaojie & Blanco, Cristina, 2023. "Evaluating and forecasting the niche fitness of regional innovation ecosystems: A comparative evaluation of different optimized grey models," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  9. Leontitsis, Alexandros & Philippas, Dionisis & Sickles, Robin C. & Tziogkidis, Panagiotis, 2018. "Evaluating countries’ innovation potential: an international perspective," Working Papers 18-011, Rice University, Department of Economics.
  10. Bi, Kexin & Huang, Ping & Wang, Xiangxiang, 2016. "Innovation performance and influencing factors of low-carbon technological innovation under the global value chain: A case of Chinese manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 275-284.
  11. Liwen Sun & Ying Han, 2022. "Spatial Correlation Network Structure and Influencing Factors of Two-Stage Green Innovation Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
  12. Sungmin Park, 2015. "The R&D logic model: Does it really work? An empirical verification using successive binary logistic regression models," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1399-1439, December.
  13. Xiafei Chen & Zhiying Liu & Chaoliang Ma, 2017. "Chinese innovation-driving factors: regional structure, innovation effect, and economic development—empirical research based on panel data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 43-68, July.
  14. Chen, Kaihua & Kou, Mingting & Fu, Xiaolan, 2018. "Evaluation of multi-period regional R&D efficiency: An application of dynamic DEA to China's regional R&D systems," Omega, Elsevier, vol. 74(C), pages 103-114.
  15. Alexandru FOTIA & Cezar TECLEAN, 2019. "The Innovation Efficiency In Central And Eastern Europe – An Input-Output Comparative Analysis Between Czech Republic, Hungary, Poland And Romania," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 6, pages 269-287.
  16. Lin, Tzu-Yu & Chiu, Sheng-Hsiung & Yang, Hai-Lan, 2022. "Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
  17. Giorgio Prodi & Federico Frattini & Francesco Nicolli, 2016. "Regional Innovation Systems in China: A long-term perspective based on patent data at the prefectural level," SEEDS Working Papers 0316, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Apr 2016.
  18. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2018. "Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain," Technovation, Elsevier, vol. 74, pages 42-53.
  19. Weijiang Liu & Yue Bai, 2021. "An Analysis on the Influence of R&D Fiscal and Tax Subsidies on Regional Innovation Efficiency: Empirical Evidence from China," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
  20. Qiang Xu & Qianqian Hu & Tachia Chin & Chen Chen & Yi Shi & Jianxin Xu, 2019. "How Supply Chain Integration Affects Innovation in a Digital Age: Moderating Effects of Sustainable Policy," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
  21. Tang Yao & Yigang Wei & Jianhong Zhang & Yani Wang & Yunjiang Yu & Wenyang Huang, 2022. "What influences the urban sewage discharge in China? The effect of diversified factors on the urban sewage discharge in different regions of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6099-6135, May.
  22. Kangjuan Lv & Yu Cheng & Yousen Wang, 2021. "Does regional innovation system efficiency facilitate energy-related carbon dioxide intensity reduction in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 789-813, January.
  23. Mingting Kou & Yi Zhang & Yu Zhang & Kaihua Chen & Jiancheng Guan & Senmao Xia, 2020. "Does gender structure influence R&D efficiency? A regional perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 477-501, January.
  24. Nikolaos, Chatzistamoulou & Theodoros, Antonakis & Konstantinos, Kounetas, 2020. "Salary cap and National Basketball Association teams' productive performance. A two stage Data Envelopment Analysis approach under a metatechnology framework," MPRA Paper 98811, University Library of Munich, Germany.
  25. Nikos Chatzistamoulou & Kounetas Kostas & Antonakis Theodor, 2022. "Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity," Journal of Sports Economics, , vol. 23(2), pages 123-155, February.
  26. Tom Broekel & Nicky Rogge & Thomas Brenner, 2018. "The innovation efficiency of German regions – a shared-input DEA approach," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(1), pages 77-109, February.
  27. Li, Fengshu & Andries, Petra & Pellens, Maikel & Xu, Jianzhong, 2021. "The importance of large firms for generating economic value from subsidized technological innovation: A regional perspective," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  28. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2018. "The Effect of Sustainability as Innovation Objectives on Innovation Efficiency," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
  29. Vitor Miguel Ribeiro & Celeste Varum & Ana Dias Daniel, 2021. "Introducing microeconomic foundation in data envelopment analysis: effects of the ex ante regulation principle on regional performance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1215-1244, September.
  30. Xu, Aiting & Qiu, Keyang & Zhu, Yuhan, 2023. "The measurements and decomposition of innovation inequality: Based on Industry − University − Research perspective," Journal of Business Research, Elsevier, vol. 157(C).
  31. Hanley, Aoife & Liu, Wan-Hsin & Vaona, Andrea, 2011. "Financial development and innovation in China: Evidence from the provincial data," Kiel Working Papers 1673, Kiel Institute for the World Economy (IfW Kiel).
  32. Sueyoshi, Toshiyuki & Ryu, Youngbok, 2022. "Performance assessment on technology transition from small businesses to the U.S. Department of Defense," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
  33. Dorota Ciołek & Anna Golejewska, 2022. "Efficiency Determinants of Regional Innovation Systems in Polish Subregions," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 24-45.
  34. Zhu, Xinhua & Li, Yan & Zhang, Peifeng & Wei, Yigang & Zheng, Xuyang & Xie, Lingling, 2019. "Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency," Land Use Policy, Elsevier, vol. 88(C).
  35. Heindl, Anna-Barbara & Liefner, Ingo, 2019. "The Analytic Hierarchy Process as a methodological contribution to improve regional innovation system research: Explored through comparative research in China," Technology in Society, Elsevier, vol. 59(C).
  36. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2019. "Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea," Energies, MDPI, vol. 12(6), pages 1-14, March.
  37. Sebastian Losacker & Ingo Liefner, 2020. "Implications of China's innovation policy shift: Does “indigenous” mean closed?," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1124-1141, September.
  38. Goess, Simon & de Jong, Martin & Ravesteijn, Wim, 2015. "What makes renewable energy successful in China? The case of the Shandong province solar water heater innovation system," Energy Policy, Elsevier, vol. 86(C), pages 684-696.
  39. Lee, Jiyoung & Kim, Chulyeon & Choi, Gyunghyun, 2019. "Exploring data envelopment analysis for measuring collaborated innovation efficiency of small and medium-sized enterprises in Korea," European Journal of Operational Research, Elsevier, vol. 278(2), pages 533-545.
  40. Guan, JianCheng & Yam, Richard C.M., 2015. "Effects of government financial incentives on firms’ innovation performance in China: Evidences from Beijing in the 1990s," Research Policy, Elsevier, vol. 44(1), pages 273-282.
  41. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
  42. Siran Fang & Xiaoshan Xue & Ge Yin & Hong Fang & Jialin Li & Yongnian Zhang, 2020. "Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
  43. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
  44. Zhang, Bin & Luo, Yuan & Chiu, Yung-Ho, 2019. "Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 2-9.
  45. Ke-Liang Wang & Fu-Qin Zhang, 2021. "Investigating the Spatial Heterogeneity and Correlation Network of Green Innovation Efficiency in China," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
  46. Stepan Zemtsov & Maxim Kotsemir, 2019. "An assessment of regional innovation system efficiency in Russia: the application of the DEA approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 375-404, August.
  47. Min, Sujin & Kim, Juseong & Sawng, Yeong-Wha, 2020. "The effect of innovation network size and public R&D investment on regional innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  48. Baocheng He & Jiawei Wang & Jiaoyang Wang & Kun Wang, 2018. "The Impact of Government Competition on Regional R&D Efficiency: Does Legal Environment Matter in China’s Innovation System?," Sustainability, MDPI, vol. 10(12), pages 1-18, November.
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