IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i16p9266-d616693.html
   My bibliography  Save this article

Can the Diffusion Modes of Green Technology Affect the Enterprise’s Technology Diffusion Network towards Sustainable Development of Hospitality and Tourism Industry in China?

Author

Listed:
  • Keke Sun

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Xia Cao

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Zeyu Xing

    (School of Management, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

In the post-epidemic era, encouraging enterprises to implement green technology innovation in the hospitality and tourism industry is important, which can reduce resource consumption, decrease environmental pollution and promote sustainable industrial development. Based on evolutionary game theory and Exponential Random Graph Models (ERGM), this paper develops an evolutionary game model between focal and marginal enterprises and analyzes the dynamic evolutionary process and the steady state of the evolutionary strategy of the major stakeholders. The impact of different technology diffusion modes on the enterprise’s technology diffusion network is quantitatively verified using ERGM and MPNet software. The results show that the neighborhood effect has a positive impact on the technology diffusion network of enterprises in the hospitality and tourism industry, the partner effect has a negative impact on the technology diffusion network of enterprises, and the social circle effect has a significant positive effect on the technology diffusion network of enterprises in the hospitality and tourism industry. This study can help governments to develop more targeted policies that can serve as a basis for enterprises to develop dynamic strategies and can further facilitate the implementation and diffusion of green technology innovations in the hospitality and tourism industry.

Suggested Citation

  • Keke Sun & Xia Cao & Zeyu Xing, 2021. "Can the Diffusion Modes of Green Technology Affect the Enterprise’s Technology Diffusion Network towards Sustainable Development of Hospitality and Tourism Industry in China?," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9266-:d:616693
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/16/9266/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/16/9266/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    2. Anthony Goerzen & Paul W. Beamish, 2005. "The effect of alliance network diversity on multinational enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 26(4), pages 333-354, April.
    3. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    4. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    5. Ulrich Wassmer, 2010. "Alliance Portfolios : A Review and Research Agenda," Post-Print hal-02313048, HAL.
    6. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
    7. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    8. Ramnath K. Chellappa & Nilesh Saraf, 2010. "Alliances, Rivalry, and Firm Performance in Enterprise Systems Software Markets: A Social Network Approach," Information Systems Research, INFORMS, vol. 21(4), pages 849-871, December.
    9. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    10. Zahid Yousaf & Magdalena Radulescu & Crenguta Ileana Sinisi & Luminita Serbanescu & Loredana Maria Paunescu, 2021. "Harmonization of Green Motives and Green Business Strategies towards Sustainable Development of Hospitality and Tourism Industry: Green Environmental Policies," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    11. Ji, Ping & Ma, Xin & Li, Gang, 2015. "Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective," International Journal of Production Economics, Elsevier, vol. 166(C), pages 155-162.
    12. He, Peng & He, Yong & Xu, Feifei, 2018. "Evolutionary analysis of sustainable tourism," Annals of Tourism Research, Elsevier, vol. 69(C), pages 76-89.
    13. Ozkan-Canbolat, Ela & Beraha, Aydin, 2016. "Evolutionary knowledge games in social networks," Journal of Business Research, Elsevier, vol. 69(5), pages 1807-1811.
    14. Ma, Ding & Yu, Qian & Li, Jing & Ge, Mengni, 2021. "Innovation diffusion enabler or barrier: An investigation of international patenting based on temporal exponential random graph models," Technology in Society, Elsevier, vol. 64(C).
    15. Freeman, Chris, 1994. "The Economics of Technical Change," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 18(5), pages 463-514, October.
    16. Liang, Xinning & Liu, Anita M.M., 2018. "The evolution of government sponsored collaboration network and its impact on innovation: A bibliometric analysis in the Chinese solar PV sector," Research Policy, Elsevier, vol. 47(7), pages 1295-1308.
    17. Du, Ruijin & Wang, Ya & Dong, Gaogao & Tian, Lixin & Liu, Yixiao & Wang, Minggang & Fang, Guochang, 2017. "A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013," Applied Energy, Elsevier, vol. 196(C), pages 142-151.
    18. Potter, Antony & Paulraj, Antony, 2021. "Unravelling supplier-laboratory knowledge spillovers: Evidence from Toyota's central R&D laboratory and subsidiary R&D centers," Research Policy, Elsevier, vol. 50(4).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chenggang Wang, 2022. "Green Technology Innovation, Energy Consumption Structure and Sustainable Improvement of Enterprise Performance," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    2. Busra Agan & Mehmet Balcilar, 2023. "Unraveling the Green Growth Matrix: Exploring the Impact of Green Technology, Climate Change Adaptation, and Macroeconomic Factors on Sustainable Development," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    3. Busra Agan & Mehmet Balcilar, 2022. "On the Determinants of Green Technology Diffusion: An Empirical Analysis of Economic, Social, Political, and Environmental Factors," Sustainability, MDPI, vol. 14(4), pages 1-23, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guiyang Zhang & Chaoying Tang & Yong Qi, 2020. "Alliance Network Diversity and Innovation Ambidexterity: The Differential Roles of Industrial Diversity, Geographical Diversity, and Functional Diversity," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    2. Shi, Yingying & Wei, Zixiang & Shahbaz, Muhammad & Zeng, Yongchao, 2021. "Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network," Energy Economics, Elsevier, vol. 101(C).
    3. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Liming Zhao & Haihong Zhang & Wenqing Wu, 2019. "Cooperative knowledge creation in an uncertain network environment based on a dynamic knowledge supernetwork," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 657-685, May.
    5. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    6. Jacob, Jojo & Belderbos, René & Lokshin, Boris, 2023. "Entangled modes: Boundaries to effective international knowledge sourcing through technology alliances and technology-based acquisitions," Technovation, Elsevier, vol. 122(C).
    7. Rogbeer, Shalini & Almahendra, Rangga & Ambos, Björn, 2014. "Open-Innovation Effectiveness: When does the Macro Design of Alliance Portfolios Matter?," Journal of International Management, Elsevier, vol. 20(4), pages 464-477.
    8. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    9. Yu Liu & T. Ravichandran, 2015. "Alliance Experience, IT-Enabled Knowledge Integration, and Ex Ante Value Gains," Organization Science, INFORMS, vol. 26(2), pages 511-530, April.
    10. Zhao, Jianyu & Wei, Jiang & Yu, Lean & Xi, Xi, 2022. "Robustness of knowledge networks under targeted attacks: Electric vehicle field of China evidence," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 367-382.
    11. Jiancheng Guan & Lanxin Pang, 2018. "Bidirectional relationship between network position and knowledge creation in Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 201-222, April.
    12. J. Nils Foege & Erk P. Piening & Torsten-Oliver Salge, 2017. "Don’T Get Caught On The Wrong Foot: A Resource-Based Perspective On Imitation Threats In Innovation Partnerships," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-42, April.
    13. Zakaryan, Arusyak, 2023. "Organizational knowledge networks, search and exploratory invention," Technovation, Elsevier, vol. 122(C).
    14. Xue Wang, 2018. "The Effect Of Inbound Open Innovation On Firm Performance In Japanese Manufacturing Firms: Comparative Study Between Research Centre And Business Unit," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-35, October.
    15. Zhang, Guiyang & Gao, Yuchen & Qi, Yong, 2022. "National depth and R&D alliance portfolio international expansion: The moderation of technological discontinuity and long-term orientation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    16. de Leeuw, Tim & Lokshin, Boris & Duysters, Geert, 2014. "Returns to alliance portfolio diversity: The relative effects of partner diversity on firm's innovative performance and productivity," Journal of Business Research, Elsevier, vol. 67(9), pages 1839-1849.
    17. Wadhwa, Anu & Phelps, Corey & Kotha, Suresh, 2016. "Corporate venture capital portfolios and firm innovation," Journal of Business Venturing, Elsevier, vol. 31(1), pages 95-112.
    18. Zhao, Jianyu & Yu, Lean & Xi, Xi & Li, Shengliang, 2023. "Knowledge percolation threshold and optimization strategies of the combinatorial network for complex innovation in the digital economy," Omega, Elsevier, vol. 120(C).
    19. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).
    20. Ruguo Fan & Rongkai Chen, 2022. "Promotion Policies for Electric Vehicle Diffusion in China Considering Dynamic Consumer Preferences: A Network-Based Evolutionary Analysis," IJERPH, MDPI, vol. 19(9), pages 1-21, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9266-:d:616693. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.