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Kaihua Chen

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Kaihua Chen & Jiancheng Guan, 2012. "Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)," Regional Studies, Taylor & Francis Journals, vol. 46(3), pages 355-377, April.

    Cited by:

    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-Ching & Lee, Wen-Chieh & Ko, Bo-Ting, 2016. "What determines misallocation in innovation? A study of regional innovation in China," MPRA Paper 77998, University Library of Munich, Germany, revised 03 Dec 2016.
    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. Pham, Hien Thu & Hoang, Viet-Ngu & Yu, Ming-Miin & McLennan, Char-lee J., 2024. "Dynamic efficiency of Australia's innovation systems: A regional and state analysis," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. Liu, Yin & Alnafrah, Ibrahim & Zhou, Yaying, 2024. "A systemic efficiency measurement of resource management and sustainable practices: A network bias-corrected DEA assessment of OECD countries," Resources Policy, Elsevier, vol. 90(C).
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. Tom Broekel & Nicky Rogge & Thomas Brenner, 2013. "The innovation efficiency of German regions - a shared-input DEA approach," Working Papers on Innovation and Space 2013-08, Philipps University Marburg, Department of Geography.
    29. 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).
    30. 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.
    31. 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.
    32. 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).
    33. 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).
    34. 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).
    35. 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.
    36. 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).
    37. 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).
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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).
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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).
    50. 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.

  2. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.

    Cited by:

    1. Mehmet Ugur, 2013. "Governance, market power and innovation: evidence from OECD countries," Chapters, in: Mehmet Ugur (ed.), Governance, Regulation and Innovation, chapter 2, pages 25-57, Edward Elgar Publishing.
    2. Pawel Dobrzanski & Sebastian Bobowski, 2020. "The Efficiency of R&D Expenditures in ASEAN Countries," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
    3. Zabala-Iturriagagoitia, Jon Mikel & Aparicio, Juan & Ortiz, Lidia & Carayannis, Elias G. & Grigoroudis, Evangelos, 2021. "The productivity of national innovation systems in Europe: Catching up or falling behind?," Technovation, Elsevier, vol. 102(C).
    4. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    6. Svetlana V. Ratner & Svetlana A. Balashova & Andrey V. Lychev, 2022. "The Efficiency of National Innovation Systems in Post-Soviet Countries: DEA-Based Approach," Mathematics, MDPI, vol. 10(19), pages 1-23, October.
    7. Neave O'Clery & Stephen Kinsella, 2019. "Modular structure in labour networks reveals skill basins," Papers 1909.03379, arXiv.org, revised Jan 2022.
    8. Lee, Jun Gon & Park, Min Jae, 2020. "Evaluation of technological competence and operations efficiency in the defense industry: The strategic planning of South Korea," Evaluation and Program Planning, Elsevier, vol. 79(C).
    9. 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.
    10. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    11. Boxu Yang & Xielin Liu & Yuchen Gao & Langmei Zhu, 2023. "A research on the effectiveness of innovation policy for regional innovation under Chinese long-range plan," Science and Public Policy, Oxford University Press, vol. 50(3), pages 491-508.
    12. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    13. Yang, Lihong & Wang, Shixun, 2022. "Do fintech applications promote regional innovation efficiency? Empirical evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    14. 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.
    15. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    16. Qingxian An & Fanyong Meng & Sheng Ang & Xiaohong Chen, 2018. "A new approach for fair efficiency decomposition in two-stage structure system," Operational Research, Springer, vol. 18(1), pages 257-272, April.
    17. Kontolaimou, Alexandra & Giotopoulos, Ioannis & Tsakanikas, Aggelos, 2016. "A typology of European countries based on innovation efficiency and technology gaps: The role of early-stage entrepreneurship," Economic Modelling, Elsevier, vol. 52(PB), pages 477-484.
    18. Tziogkidis, Panagiotis & Philippas, Dionisis & Leontitsis, Alexandros & Sickles, Robin C., 2020. "A data envelopment analysis and local partial least squares approach for identifying the optimal innovation policy direction," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1011-1024.
    19. Yang Liu & Yaojun Fan & Yifan Wang & Jiayu Huang & Hu Xun, 2024. "City innovation ability and internet infrastructure development: Evidence from the “Broadband China” policy," Bulletin of Economic Research, Wiley Blackwell, vol. 76(1), pages 121-146, January.
    20. Lakitan, Benyamin, 2013. "Connecting all the dots: Identifying the “actor level” challenges in establishing effective innovation system in Indonesia," Technology in Society, Elsevier, vol. 35(1), pages 41-54.
    21. Meng, Qiaoyu & Li, Yi & Cao, Qinwei, 2024. "The paradox analysis and functional mechanism between R&D efficiency and transformation effect: Evidence from key universities in China," Technovation, Elsevier, vol. 130(C).
    22. Tihana Škrinjarić, 2020. "R&D in Europe: Sector Decomposition of Sources of (in)Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    23. Chen, Zhuo & Yang, Zhenbing & Yang, Lili, 2020. "How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    24. 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.
    25. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    26. MOTOHASHI Kazuyuki & ZHAO Qiuhan, 2023. "University as a Knowledge Source of Innovation: A spatial analysis of the impact on local high-tech startup creation," Discussion papers 23027, Research Institute of Economy, Trade and Industry (RIETI).
    27. Stylianos Gr. Margaritis & Constantinos P. Tsamadias & Elias E. Argyropoulos, 2022. "Investigating the Relative Efficiency and Productivity Change of Upper Secondary Schools: the Case of Schools in the Region of Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 128-160, March.
    28. Eun Sun Kim & Kuk Jin Bae & Jeongeun Byun, 2020. "The History and Evolution: A Big Data Analysis of the National Innovation Systems in South Korea," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    29. Pawel Dobrzanski, 2018. "Innovation expenditures efficiency in Central and Eastern European Countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 827-859.
    30. Tsolas, Ioannis E., 2014. "Precious metal mutual fund performance appraisal using DEA modeling," Resources Policy, Elsevier, vol. 39(C), pages 54-60.
    31. Yoon, Hyungseok (David) & Kim, Namil & Buisson, Bernard & Phillips, Fred, 2018. "A cross-national study of knowledge, government intervention, and innovative nascent entrepreneurship," Journal of Business Research, Elsevier, vol. 84(C), pages 243-252.
    32. Shi‐Xiao Wang & Wen‐Min Lu & Shiu‐Wan Hung, 2020. "Improving innovation efficiency of emerging economies: The role of manufacturing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 503-519, June.
    33. Montalvo, Carlos & Moghayer, Saeed, 2011. "State of an innovation system: theoretical and empirical advance towards an innovation efficiency index," MPRA Paper 38002, University Library of Munich, Germany.
    34. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    35. Jie Jiang & Qihang Zhang & Yifan Hui, 2023. "The Impact of Market and Non-Market-Based Environmental Policy Instruments on Firms’ Sustainable Technological Innovation: Evidence from Chinese Firms," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    36. 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.
    37. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    38. 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.
    39. 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.
    40. Luo, Zhengying & Chiu, Yung-Ho & Tang, Lingling & Xu, Yayun & Lu, Ching-Cheng, 2016. "Industrial Enterprises' Innovation Efficiency And The Influence Of Capital Source: Based On Statistical Data Of Industrial Enterprises In Jiangsu Province," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 57(2), pages 175-193, December.
    41. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
    42. Antonioli, Davide & Mazzanti, Massimiliano, 2017. "Towards a green economy through innovations: The role of trade union involvement," Ecological Economics, Elsevier, vol. 131(C), pages 286-299.
    43. Schøtt, Thomas & Jensen, Kent Wickstrøm, 2016. "Firms’ innovation benefiting from networking and institutional support: A global analysis of national and firm effects," Research Policy, Elsevier, vol. 45(6), pages 1233-1246.
    44. Pavlo Ilchuk & Іryna Mushenyk, 2018. "Influence Of Development Of National Innovation Systems On The Economic Efficiency," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 4(2).
    45. Ge, Shuang & Liu, Xielin, 2022. "The role of knowledge creation, absorption and acquisition in determining national competitive advantage," Technovation, Elsevier, vol. 112(C).
    46. Paul Jackson & Jochen Runde & Philip Dobson & Nancy Richter, 2016. "Identifying mechanisms influencing the emergence and success of innovation within national economies: a realist approach," Policy Sciences, Springer;Society of Policy Sciences, vol. 49(3), pages 233-256, September.
    47. Qinghua Xia & Qinwei Cao & Manqing Tan, 2020. "Basic research intensity and diversified performance: the moderating role of government support intensity," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 577-605, October.
    48. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    49. Jürgen Janger & Agnes Kügler, 2018. "Innovationseffizienz. Österreich im internationalen Vergleich," WIFO Studies, WIFO, number 61111.
    50. Jian-Wen Fang & Yung-ho Chiu, 2017. "Research on Innovation Efficiency and Technology Gap in China Economic Development," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-22, April.
    51. 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.
    52. Prokop, Viktor & Hajek, Petr & Stejskal, Jan, 2021. "Configuration Paths to Efficient National Innovation Ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    53. Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    54. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.
    55. Ron Boschma & Simona Iammarino & Raffaele Paci & Jordy Suriñach & Corinne Autant-Bernard & Sylvie Chalaye & Elisa Gagliardini & Stefano Usai, 2017. "European Knowledge Neighbourhood: Knowledge Production in EU Neighbouring Countries and Intensity of the Relationship with EU Countries," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(1), pages 52-75, February.
    56. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    57. Wonglimpiyarat, Jarunee, 2016. "Government policies towards Israel's high-tech powerhouse," Technovation, Elsevier, vol. 52, pages 18-27.
    58. Agnes Kügler & Jürgen Janger, 2015. "Innovationseffizienz in den EU-Ländern. Eine Data Envelopment Analysis (DEA)," WIFO Studies, WIFO, number 58202.
    59. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    60. Kun Chen & Xian-tong Ren & Guo-liang Yang & Hai-bo Qin, 2022. "The other side of the coin: The declining of Chinese social science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 127-143, January.
    61. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    62. Chen, Kaihua, 2014. "Measuring and decomposing the overall efficiency of multi-period and -division systems associated with DEA," MPRA Paper 55073, University Library of Munich, Germany.
    63. Barbero, Javier & Zabala-Iturriagagoitia, Jon Mikel & Zofío, José L., 2021. "Is more always better? On the relevance of decreasing returns to scale on innovation," Technovation, Elsevier, vol. 107(C).
    64. Shi‐Xiao Wang & Wen‐Min Lu & Shiu‐Wan Hung, 2020. "Industrial upgrading efficiency and free markets in emerging economies: A two‐stage meta‐frontier approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1084-1095, September.
    65. Chung, Doohee & Jung, Haejun & Lee, Yunjeong, 2022. "Investigating the relationship of high-tech entrepreneurship and innovation efficacy: The moderating role of absorptive capacity," Technovation, Elsevier, vol. 111(C).
    66. Oh, Ga-Eun (Grace) & Aliyev, Murod & Kafouros, Mario & Au, Alan Kai Ming, 2022. "The role of consumer characteristics in explaining product innovation performance: Evidence from emerging economies," Journal of Business Research, Elsevier, vol. 149(C), pages 713-727.
    67. Tone, Kaoru & Kweh, Qian Long & Lu, Wen-Min & Ting, Irene Wei Kiong, 2019. "Modeling investments in the dynamic network performance of insurance companies," Omega, Elsevier, vol. 88(C), pages 237-247.
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    Cited by:

    1. Lau, Antonio K.W. & Lo, William, 2015. "Regional innovation system, absorptive capacity and innovation performance: An empirical study," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 99-114.
    2. Li, Hao-Ching & Lee, Wen-Chieh & Ko, Bo-Ting, 2016. "What determines misallocation in innovation? A study of regional innovation in China," MPRA Paper 77998, University Library of Munich, Germany, revised 03 Dec 2016.
    3. Shahid Yusuf, 2012. "From Technological Catch-up to Innovation : The Future of China’s GDP Growth," World Bank Publications - Reports 12781, The World Bank Group.
    4. Zhang, Lin, 2017. "The knowledge spillover effects of FDI on the productivity and efficiency of research activities in China," China Economic Review, Elsevier, vol. 42(C), pages 1-14.
    5. 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.
    6. Chen Kaihua & Kou Mingting, 2014. "Staged efficiency and its determinants of regional innovation systems: a two-step analytical procedure," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(2), pages 627-657, March.
    7. Reza Naghizadeh & Shaban Elahi & Manoochehr Manteghi & Sepehr Ghazinoory & Marina Ranga, 2015. "Through the magnifying glass: an analysis of regional innovation models based on co-word and meta-synthesis methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2481-2505, November.
    8. Shi, Xing & Zhang, Ya & Wu, Yanrui & Wu, Huaqing, 2023. "Political turnover and firm innovation in China: The moderating role of innovation and entrepreneurship environment," Journal of Asian Economics, Elsevier, vol. 88(C).
    9. Xing Shi & Ya Zhang & Yanrui Wu & Huaqing Wu, 2023. "Political Turnover and Firm Innovation in China: The Moderating Role of Innovation and Entrepreneurship Environment," Economics Discussion / Working Papers 23-08, The University of Western Australia, Department of Economics.
    10. Liang, Yanze & Giroud, Axèle & Rygh, Asmund, 2022. "Strategic asset-seeking acquisitions, technological gaps, and innovation performance of Chinese multinationals," Journal of World Business, Elsevier, vol. 57(4).
    11. 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).
    12. 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.
    13. 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.
    14. He, Lerong & Jiang, Xiaozhen & Fang, Liting, 2023. "Tax policy reform and corporate innovation in China," Finance Research Letters, Elsevier, vol. 55(PA).

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