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Factors influencing technological innovation efficiency in the Chinese video game industry: Applying the meta-frontier approach

Author

Listed:
  • Xi, Xun
  • Xi, Baoxing
  • Miao, Chenglin
  • Yu, Rongjian
  • Xie, Jie
  • Xiang, Rong
  • Hu, Feng

Abstract

Exploring technological innovation efficiency in China's video game industry allows us to reconceptualize the industry's state of development, identify barriers to technological innovation, and seek solutions. This study analyzed this industry's technological innovation efficiency across different regions in China using the meta-frontier approach and empirically tested the effects of human capital, financial capital, region, and policy factors using an econometric model. There were several main findings: (1) Beijing, Jiangsu, and Guangdong had higher meta-frontier technology ratios and more technological innovation efficiency, whereas Jilin and Hubei had lower ratios. Innovation efficiency in the latter regions showed more room for improvement, given the current technology level and factor input conditions. (2) Regarding group-frontier and meta-frontier technology efficiency, all regions (except Beijing) had room for improvement in the entire industry and individual companies. (3) Technological innovation efficiency fluctuated slightly across regions and over time. Beijing, Jiangsu, and Guangdong maintained high technological innovation efficiency, whereas Liaoning, Jilin, and Fujian did not. (4) A region's video game industry tended to have higher technological innovation efficiency if the industry had innovative video game practitioners who were good learners, more research and development investment, greater economic development, and better infrastructure support, among other factors.

Suggested Citation

  • Xi, Xun & Xi, Baoxing & Miao, Chenglin & Yu, Rongjian & Xie, Jie & Xiang, Rong & Hu, Feng, 2022. "Factors influencing technological innovation efficiency in the Chinese video game industry: Applying the meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    • Handle: RePEc:eee:tefoso:v:178:y:2022:i:c:s0040162522001068
    DOI: 10.1016/j.techfore.2022.121574
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    as
    1. Claussen, Jörg & Falck, Oliver & Grohsjean, Thorsten, 2012. "The strength of direct ties: Evidence from the electronic game industry," International Journal of Industrial Organization, Elsevier, vol. 30(2), pages 223-230.
    2. Mathijs De Vaan & Ron Boschma & Koen Frenken, 2013. "Clustering and firm performance in project-based industries: the case of the global video game industry , 1972--2007," Journal of Economic Geography, Oxford University Press, vol. 13(6), pages 965-991, November.
    3. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    4. Matthew T. Clements & Hiroshi Ohashi, 2005. "Indirect Network Effects And The Product Cycle: Video Games In The U.S., 1994–2002," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 515-542, December.
    5. Rajan, Raghuram G & Zingales, Luigi, 1998. "Financial Dependence and Growth," American Economic Review, American Economic Association, vol. 88(3), pages 559-586, June.
    6. La Porta, Rafael & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert W. Vishny, 1997. "Legal Determinants of External Finance," Journal of Finance, American Finance Association, vol. 52(3), pages 1131-1150, July.
    7. Huang, Zhehao & Liao, Gaoke & Li, Zhenghui, 2019. "Loaning scale and government subsidy for promoting green innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 148-156.
    8. Claude Diebolt & Ralph Hippe, 2019. "The long-run impact of human capital on innovation and economic development in the regions of Europe," Applied Economics, Taylor & Francis Journals, vol. 51(5), pages 542-563, January.
    9. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    10. Trabelsi Ramzi & Akri Ben Salah, 2018. "The Determinants of Innovation Capacity in the Less Innovative Countries in the Euro-Mediterranean Region," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 526-543, June.
    11. Archibugi, Daniele & Filippetti, Andrea & Frenz, Marion, 2013. "The impact of the economic crisis on innovation: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1247-1260.
    12. Lin, Mi & Kwan, Yum K., 2016. "FDI technology spillovers, geography, and spatial diffusion," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 257-274.
    13. Storz, Cornelia & Riboldazzi, Federico & John, Moritz, 2015. "Mobility and innovation: A cross-country comparison in the video games industry," Research Policy, Elsevier, vol. 44(1), pages 121-137.
    14. Jaehyeok Kim & Minwoo Jang & Donghyun Shin, 2019. "Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea," Sustainability, MDPI, vol. 11(14), pages 1-19, July.
    15. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Jin Zhou & Ali Raza & Hongguang Sui, 2021. "Infrastructure investment and economic growth quality: empirical analysis of China’s regional development," Applied Economics, Taylor & Francis Journals, vol. 53(23), pages 2615-2630, May.
    17. Manuel Guisado-González & Jennifer González-Blanco & José Luís Coca-Pérez & Manuel Guisado-Tato, 2018. "Assessing the relationship between R&D subsidy, R&D cooperation and absorptive capacity: an investigation on the manufacturing Spanish case," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1647-1666, December.
    18. Markard, Jochen & Erlinghagen, Sabine, 2017. "Technology users and standardization: Game changing strategies in the field of smart meter technology," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 226-235.
    19. Yu, Jiang & Wen, Yating & Jin, Jing & Zhang, Yue, 2019. "Towards a service-dominant platform for public value co-creation in a smart city: Evidence from two metropolitan cities in China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 168-182.
    20. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    21. Batabyal, Amitrajeet A. & Beladi, Hamid, 2019. "The optimal provision of information and communication technologies in smart cities," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 216-220.
    22. Chen, Ling & Yang, Wenhui, 2019. "R&D tax credits and firm innovation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 233-241.
    23. Rong, Ke & Xiao, Fei & Zhang, Xiaoyu & Wang, Jingjing, 2019. "Platform strategies and user stickiness in the online video industry," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 249-259.
    24. Lee, Kuei-Chiu, 2014. "Is per capita real GDP stationary in China? Sequential panel selection method," Economic Modelling, Elsevier, vol. 37(C), pages 507-517.
    25. Reinhardt, Ronny & Gurtner, Sebastian, 2018. "The overlooked role of embeddedness in disruptive innovation theory," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 268-283.
    26. Shuanglian Chen & Zhehao Huang & Benjamin M. Drakeford & Pierre Failler, 2019. "Lending Interest Rate, Loaning Scale, and Government Subsidy Scale in Green Innovation," Energies, MDPI, vol. 12(23), pages 1-22, November.
    27. Zhang, JingJing & Guan, Jiancheng, 2018. "The time-varying impacts of government incentives on innovation," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 132-144.
    28. Benzidia, Smaïl & Luca, Ruxandra Monica & Boiko, Sergiy, 2021. "Disruptive innovation, business models, and encroachment strategies: Buyer's perspective on electric and hybrid vehicle technology," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    29. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    30. Oguguo, Prince C. & Bodas Freitas, Isabel Maria & Genet, Corine, 2020. "Multilevel institutional analyses of firm benefits from R&D collaboration," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    31. Liu, Xiaohui & Buck, Trevor, 2007. "Innovation performance and channels for international technology spillovers: Evidence from Chinese high-tech industries," Research Policy, Elsevier, vol. 36(3), pages 355-366, April.
    32. Hu, Feng & Xi, Xun & Zhang, Yueyue, 2021. "Influencing mechanism of reverse knowledge spillover on investment enterprises’ technological progress: An empirical examination of Chinese firms," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    33. Yogesh Malhotra, 2000. "Knowledge Management and New Organization Forms: A Framework for Business Model Innovation," Information Resources Management Journal (IRMJ), IGI Global, vol. 13(1), pages 5-14, January.
    34. Rong, Ke & Ren, Qun & Shi, Xianwei, 2018. "The determinants of network effects: Evidence from online games business ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 45-60.
    35. Thomes, Tim Paul, 2015. "In-house publishing and competition in the video game industry," Information Economics and Policy, Elsevier, vol. 32(C), pages 46-57.
    36. Lantano, Francesco & Petruzzelli, Antonio Messeni & Panniello, Umberto, 2022. "Business model innovation in video-game consoles to face the threats of mobile gaming: Evidence from the case of Sony PlayStation," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    37. Chang, Jiyoon & Lee, Daeho, 2022. "Changes in user experience and satisfaction as media technology evolves: The reciprocal relationship between video games and video game-related media," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    38. Marchand, André & Hennig-Thurau, Thorsten, 2013. "Value Creation in the Video Game Industry: Industry Economics, Consumer Benefits, and Research Opportunities," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 141-157.
    39. Zhang, Jingjing & Groen, Aard, 2021. "Informal and formal open activities: Innovation protection methods as antecedents and innovation outputs as consequences," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
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