Environmental Science and Pollution Research

, Volume 26, Issue 6, pp 6087–6098 | Cite as

Dynamic analysis of international green behavior from the perspective of the mapping knowledge domain

  • Xingwei Li
  • Jianguo DuEmail author
  • Hongyu Long
Research Article


Green behavior is an important part of the study of green development. To promote green development, it is necessary to engage in further innovation on the basis of lessons from international advancements in green behavior. To clarify the spatial and temporal distribution characteristics of international researchers in the study of green behavior, the research focus, and the research frontiers, a visual analysis was performed on 22,114 articles cited in the SSCI and SCI-EXPANDED databases from 2000 to 2017. This analysis was based on bibliometrics and mapping knowledge domain (MKD) analysis with CiteSpace 5.3.R4, a scientific and technological text-mining and visualization software. The results show that international green behavior research has the following main characteristics. First, a positive correlation was found between the number of papers and time. Second, research is highly valued by researchers in the natural sciences, such as ecology. The USA is involved in major research efforts and maintains a high level of cooperation with other countries and regions. International cooperation among institutions needs to be strengthened. The co-cited journals are primarily academic journals in the natural sciences. Third, research hotspots mainly focus on the theory of planned behavior (TPB), consumers, attitudes, performance, and environment, all of which evolve according to the phase path of “germination-growth.” Fourth, the research frontier issues are largely related to management science and environmental science, and the research objects and methods will become increasingly complex and interdisciplinary over time.


Mapping knowledge domain Green behavior CiteSpace Bibliometrics Visualization 



This work was also supported by the Special Funds of the National Social Science Fund of China (18VSJ038).


  1. Al Mamun A, Mohamad MR, Yaacob MRB, Mohiuddin M (2018) Intention and behavior towards green consumption among low-income households. J Environ Manag 227:73–86. Google Scholar
  2. Caya R, Neto JJ (2018) A bibliometric review about adaptivity. Procedia Comput Sci 130:1114–1119. Google Scholar
  3. Chen C (2006) CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inf Sci Technol 57(3):359–377. Google Scholar
  4. Chen C (2017) Science mapping: a systematic review of the literature. J Data Inf Sci 2(2):1–40. Google Scholar
  5. Chow WS, Chen Y (2009) Intended belief and actual behavior in green computing in Hong Kong. J Comput Inform Syst 50(2):136–141. Google Scholar
  6. Cui Y, Mou J, Liu Y (2018) Knowledge mapping of social commerce research: a visual analysis using CiteSpace. Electron Commer Res 18(4):837–868. Google Scholar
  7. Do Paço AMF, Reis R (2012) Factors affecting skepticism toward green advertising. J Advert 41(4):147–155. Google Scholar
  8. Du JG, Yu XH, Meng QF (2016) Evolution of enterprise’s productive behavior of green products based on computational experiments. Soft Sci 30(11):66–70+90. (In Chinese)Google Scholar
  9. Gaviria-Marin M, Merigó JM, Baier-Fuentes H (2018) Knowledge management: a global examination based on bibliometric analysis. Technol Forecast Soc Chang.
  10. Goh SK, Balaji MS (2016) Linking green skepticism to green purchase behavior. J Clean Prod 131:629–638. Google Scholar
  11. Gordon-Wilson S, Modi P (2015) Personality and older consumers’ green behaviour in the UK. Futures 71:1–10. Google Scholar
  12. Guo B, Zhen J, Tan M (2014) Empirical analysis of city dwellers’ consumption behavior of green agricultural products. J Huazhong Agric Univ (Soc Sci Ed) 03:82–90. (In Chinese)Google Scholar
  13. Han HS (2015) Travelers’ pro-environmental behavior in a green lodging context: converging value-belief-norm theory and the theory of planned behavior. Tour Manag 47:164–177. Google Scholar
  14. Han H, Kim Y (2010) An investigation of green hotel customers’ decision formation: developing an extended model of the theory of planned behavior. Int J Hosp Manag 29(4):659–668. Google Scholar
  15. Han H, Hsu LT, Sheu C (2010) Application of the theory of planned behavior to green hotel choice: testing the effect of environmental friendly activities. Tour Manag 31(3):325–334. Google Scholar
  16. Hartmann P, ApaolazaIbáñez V (2012) Consumer attitude and purchase intention toward green energy brands: the roles of psychological benefits and environmental concern. J Bus Res 65(9):1254–1263. Google Scholar
  17. He ZT, Yan L, Xie XB, Duan XH (2014) Identification and analysis on critical influential factors of green behavior decision-making for enterprises in resource-based industry cluster. China Popul Resour Environ 24(10):170–176 (In Chinese)Google Scholar
  18. Kim HJ (2005) A study on visualization of digital preservation knowledge domain using CiteSpace. J Korean Soc Libr Inf Sci 39(4):89–104.
  19. Lee JS, Hsu LT, Han H, Kim Y (2010) Understanding how consumers view green hotels: how a hotel’s green image can influence behavioural intentions. J Sustain Tour 18(7):901–914. Google Scholar
  20. Leng Y, Wang J, Zhu D, Wu Y, Zhao P (2009) Sulfonated organic heteropolyacid salts: recyclable green solid catalysts for esterifications. J Mol Catal A Chem 313(1):1–6. Google Scholar
  21. Li WN, Wu KJ (2013) Relationship among stakeholders, green management and performance. Sci Sci Manage Sci Tech 34(5):89–96 (In Chinese)Google Scholar
  22. Li F, Zhu BY, Xin T (2013) The specialty visualization study of psychometrics in recent 15 years: an analysis based on Citespace II. Adv Psychol Sci 20(7):1128–1138. Google Scholar
  23. Li X, Du J, Long H (2018a) A comparative study of Chinese and foreign green development from the perspective of mapping knowledge domains. Sustainability 10(12):4357. Google Scholar
  24. Li W, Tian L, Batool H (2018b) Impact of negative information diffusion on green behavior adoption. Resour Conserv Recycl 136:337–344. Google Scholar
  25. Liang D, Hou C, Jo MS, Sarigöllü E (2019) Pollution avoidance and green purchase: the role of moral emotions. J Clean Prod 210:1301–1310. Google Scholar
  26. Liu MT, Sunny DL (2018) Factors influencing Chinese consumers’ green purchase behavior: an examination and extension of theory of planned behavior (TPB). Glob Mark Conf 2018:321–325. Google Scholar
  27. Liu N, Tang SY, Lo CWH, Zhan X (2016) Stakeholder demands and corporate environmental coping strategies in China. J Environ Manag 165:140–149. Google Scholar
  28. Long X, Chen Y, Du J, Oh K, Han I, Yan J (2017) The effect of environmental innovation behavior on economic and environmental performance of 182 Chinese firms. J Clean Prod 166:1274–1282. Google Scholar
  29. Mantovani A, Tarola O, Vergari C (2017) End-of-pipe or cleaner production? How to go green in presence of income inequality and pro-environmental behavior. J Clean Prod 160:71–82. Google Scholar
  30. Mazar N, Zhong CB (2010) Do green products make us better people? Psychol Sci 21(4):494–498. Google Scholar
  31. Miao C, Fang D, Sun L, Luo Q (2017) Natural resources utilization efficiency under the influence of green technological innovation. Resour Conserv Recycl 126:153–161. Google Scholar
  32. Norton TA, Zacher H, Ashkanasy NM (2012) On the importance of pro-environmental organizational climate for employee green behavior. Ind Organ Psychol 5(4):497–500. Google Scholar
  33. Norton TA, Zacher H, Ashkanasy NM (2014) Organisational sustainability policies and employee green behavior: the mediating role of work climate perceptions. J Environ Psychol 38(3):49–54. Google Scholar
  34. Paço A, Shiel C, Alves H (2019) A new model for testing green consumer behaviour. J Clean Prod 207:998–1006. Google Scholar
  35. Prothero A, Dobscha S, Freund J, Kilbourne WE, Luchs MG, Ozanne LK, Thøgersen J (2011) Sustainable consumption: opportunities for consumer research and public policy. J Public Policy 30(1):31–38.
  36. Shiffrin RM, Börner K (2004) Mapping knowledge domains. Proc Natl Acad Sci U S A 101(suppl 1):5183–5185. Google Scholar
  37. Varela-Candamio L, Novo-Corti I, García-Álvarez MT (2018) The importance of environmental education in the determinants of green behavior: a meta-analysis approach. J Clean Prod 170:1565–1578. Google Scholar
  38. Wan B, Tian L, Zhu N, Gu L, Zhang G (2018) A new endogenous growth model for green low-carbon behavior and its comprehensive effects. Appl Energy 230:1332–1346. Google Scholar
  39. Wang JM, Wu LC (2015) Two-factor model of affection-behavior in green purchase: hypotheses and test. J Manag Sci 28(6):80–94. (In Chinese)
  40. Wei CF, Chiang CT, Kou TC, Lee BCY (2017) Toward sustainable livelihoods: investigating the drivers of purchase behavior for green products. Bus Strateg Environ 26(5):626–639. Google Scholar
  41. Whitmarsh L, O’Neill S (2010) Green identity, green living? The role of pro-environmental self-identity in determining consistency across diverse pro-environmental behaviours. J Environ Psychol 30(3):305–314. Google Scholar
  42. Wu FC, Tseng RL, Juang RS (2009) Initial behavior of intraparticle diffusion model used in the description of adsorption kinetics. Chem Eng J 153(1):1–8. Google Scholar
  43. Xie XB, Wu Y, Feng ZL, Hao ZT (2015) Identification and analysis on critical influential factors of green behavior decision-making for enterprises in resource-based industry cluster. China Popul Resour Environ 25(6):5–11 (In Chinese)Google Scholar
  44. Xu S, Chu C, Zhang Y, Ye D, Wang Y, Ju M (2018) Entangled stakeholder roles and perceptions of sustainable consumption: an evaluation of sustainable consumption practices in Tianjin, China. J Environ Manag 223:841–848. Google Scholar
  45. Yang Z, Sun J, Zhang Y, Wang Y (2017) Green, green, it’s green: a triad model of technology, culture, and innovation for corporate sustainability. Sustainability 9(8):1369. Google Scholar
  46. Young W, Hwang K, McDonald S, Oates CJ (2009) Sustainable consumption: green consumer behaviour when purchasing products. Sustain Dev 18(1):20–31. Google Scholar
  47. Zeng J, Chen KQ, He J, Zhang XJ, Sun CQ (2015) Edge hydrogenation-induced spin-filtering and rectifying behaviors in the graphene nanoribbon heterojunctions. J Phys Chem C 115(50):25072–25076. Google Scholar
  48. Zhang HY (2010) Empirical study on the green agricultural products’ consumer behavior in Guangzhou and its influential factors. J Northwest A&F Univ (Soc Sci Ed) 10(04):52–56. (In Chinese)Google Scholar
  49. Zhang Y, Narayan S, Geiman E, Lanuza GM, Velasquez T, Shanks B, Akay T, Dyck J, Pearson K, Gosgnach S, Fan CM, Goulding M (2008) V3 spinal neurons establish a robust and balanced locomotor rhythm during walking. Neuron 60(1):84–96. Google Scholar
  50. Zhang Y, Wang J, Xue Y, Yang J (2018a) Impact of environmental regulations on green technological innovative behavior: an empirical study in China. J Clean Prod 188:763–773. Google Scholar
  51. Zhang Y, Wei Y, Zhou G (2018b) Promoting firms’ energy-saving behavior: the role of institutional pressures, top management support and financial slack. Energy Policy 115:230–238. Google Scholar
  52. Zhao A, Du J, Guan H (2014a) Firm environmental innovation behavior under heterogeneous demand: an adaptive, agent-based modeling approach. Open Cybernet Syst J 8(1):489–499. Google Scholar
  53. Zhao HH, Gao Q, Wu YP, Wang Y, Zhu XD (2014b) What affects green consumer behavior in China? A case study from Qingdao. J Clean Prod 63:143–151. Google Scholar
  54. Zhou W, Kou A, Chen J, Ding B (2018) A retrospective analysis with bibliometric of energy security in 2000–2017. Energy Rep 4:724–732. Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of ManagementJiangsu UniversityZhenjiangChina
  2. 2.School of Civil Engineering and ArchitectureSouthwest Petroleum UniversityChengduChina

Personalised recommendations