Natural Hazards

, Volume 91, Issue 2, pp 611–633 | Cite as

Enhancing the development of sharing economy to mitigate the carbon emission: a case study of online ride-hailing development in China

  • Guowei Zhu
  • Hongshan Li
  • Li Zhou
Original Paper


The rapid development of online ride-hailing sharing economic platform provided an efficient way to mitigate the carbon emission of modern traffic in China. However, its development was blocked by the social management system whose update is relatively slow. How to resolve the conflict between the new economic paradigm development under the technology empowerment and the old public administration system and effectively solve the new economic and social problems it brought by are the major challenges for the healthy and sustainable development of this type of sharing economy. To shed light on the solutions to such conflict, the present paper conducts a case study on China’s largest online ride-hailing platform ‘Didi Chuxing’. The results indicate that the separation of ownership and use rights following the sharing economy brings a new approach to the efficient use of resources. The development of Didi displays a bottom-up policy innovation and institutional change. The path choice of enterprise development will affect its acquisition of legitimacy to a great extent. In this mobile Internet era, the public plays a critical role in shaping the new policy.


Carbon emission Sharing economy Online ride-hailing Technology empowerment Public policy 



This study was supported by the Natural Science Foundation of China (No. 71271079).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


  1. Airbnb (2014) New study reveals a greener way to travel: Airbnb community shows environmental benefits of home sharing. Accessed on 6 Dec 2016
  2. Belk R (2007) Why not share rather than own? Ann Am Acad Polit Soc Sci 611(1):126–140CrossRefGoogle Scholar
  3. Belk R (2014) You are what you can access: sharing and collaborative consumption online. J Bus Res 67(8):1595–1600CrossRefGoogle Scholar
  4. Botsman R, Rogers R (2010) What’s mine is yours: the rise of collaborative consumption. Harper Business, New YorkGoogle Scholar
  5. BP (2017) The BP statistical review of world energy 2017. BP Google Scholar
  6. Bruni DS, Verona G (2009) Dynamic marketing capabilities in science-based firms: an exploratory investigation of the pharmaceutical industry. Br J Manag 20(s1):S101–S117CrossRefGoogle Scholar
  7. Bucher E, Fieseler C, Lutz C (2016) What’s mine is yours (for a nominal fee)—exploring the spectrum of utilitarian to altruistic motives for Internet-mediated sharing. Comput Hum Behav 62:316–326CrossRefGoogle Scholar
  8. Cao L, Cai YF, Sheng YY et al (2015) Uber: starts an era of “sharing economy”. China Machine Press, Beijing (in Chinese) Google Scholar
  9. Castel P, Friedberg E (2010) Institutional change as an interactive process: the case of the modernization of the French cancer centers. Organ Sci 21(2):311–330CrossRefGoogle Scholar
  10. Cheng W, Liu Q, Zhang XF (2016) Didi: sharing economy changed China. People’s Post & Telecom Press, BeijingGoogle Scholar
  11. China National Bureau of Statistics (2015) The statistical yearbook of Chinese cities. Chinese Statistic Press, BeijingGoogle Scholar
  12. China National Bureau of Statistics (2016) The statistical yearbook of Chinese cities. Chinese Statistic Press, Beijing (in Chinese) Google Scholar
  13. Dall Pizzol H, Ordovás de Almeida S, do Couto Soares M (2017) Collaborative consumption: a proposed scale for measuring the construct applied to a carsharing setting. Sustainability 9(5):703–719CrossRefGoogle Scholar
  14. Ehrlich PR, Raven PH (1964) Butterflies and plants: a study in coevolution. Evolution 18(4):586–608CrossRefGoogle Scholar
  15. Eisenhardt KM (1991) Better stories and better constructs: the case for rigor and comparative logic. Acad Manag Rev 16(3):620–627Google Scholar
  16. Gansky L (2010) The mesh: why the future of business is sharing. Portfolio of Trade, LondonGoogle Scholar
  17. Glaser BSA (1967) The discovery of grounded theory. Aldine Publishing, ChicagoGoogle Scholar
  18. Kang J, Hwang K, Park S (2016) Finding factors that influence car sharing usage: case study in Seoul. Sustainability 8(8):709–721CrossRefGoogle Scholar
  19. Kwee Z, Van Den Bosch FA, Volberda HW (2010) The influence of top management team’s corporate governance orientation on strategic renewal trajectories. ERIM Report Series Reference No. ERS-2010-032-STRGoogle Scholar
  20. Lewin AY, Volberda HW (1999) Prolegomena on coevolution: a framework for research on strategy and new organizational forms. Organ Sci 10(5):519–534CrossRefGoogle Scholar
  21. Liu Y, Xia JCH (2016) Sharing economy theory and policy research trends. Econ Perspect 4:16–25 (in Chinese) Google Scholar
  22. Lounsbury M, Glynn MA (2001) Cultural entrepreneurship: stories, legitimacy, and the acquisition of resources. Strateg Manag J 22(6–7):545–564CrossRefGoogle Scholar
  23. Ma HT, Zhang XR, Sun Y et al (2016) Sharing economy: new economic plans from the supply side. Citic Publishing Group, Beijing (in Chinese) Google Scholar
  24. Martin E, Shaheen S (2011) Greenhouse gas emission impacts of carsharing in North America. IEEE Trans Intell Transp Syst 12:1074–1086CrossRefGoogle Scholar
  25. Martin E, Shaheen S, Lidicker J (2010) Impact of carsharing on household vehicle holdings: results from North American shared-use vehicle survey. Transp Res Rec 2143:150–158CrossRefGoogle Scholar
  26. People’s Daily (2016) Chinese private cars exceed 124 million. Accessed on 6th Dec 2016
  27. Schor JB, Fitzmaurice CJ (2015) Collaborating and connecting: the emergence of the sharing economy. In: Reisch L, Thogersen J (eds) Handbook of research on sustainable consumption. Edward Elgar, Cheltenham, p 410Google Scholar
  28. Shaheen S, Cohen A (2013) Carsharing and personal vehicle services: worldwide market developments and emerging trends. Int J Sustain Transp 7:5–34CrossRefGoogle Scholar
  29. Yin RK (2013) Case study research: design and methods. Sage, Beverly HillsGoogle Scholar
  30. Zhang YJ, Hao JF (2015) The allocation of carbon emission intensity reduction target by 2020 among provinces in China. Nat Hazards 79(2):921–937CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of MarketingBusiness School of Hunan UniversityChangshaChina

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