Abstract
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.
Similar content being viewed by others
Notes
Download link for CiteSpace 5.3.R4: http://cluster.ischool.drexel.edu/~cchen/citespace/download/
References
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. https://doi.org/10.1016/j.jenvman.2018.08.061
Caya R, Neto JJ (2018) A bibliometric review about adaptivity. Procedia Comput Sci 130:1114–1119. https://doi.org/10.1016/j.procs.2018.04.163
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. https://doi.org/10.1002/asi.20317
Chen C (2017) Science mapping: a systematic review of the literature. J Data Inf Sci 2(2):1–40. https://doi.org/10.1515/jdis-2017-0006
Chow WS, Chen Y (2009) Intended belief and actual behavior in green computing in Hong Kong. J Comput Inform Syst 50(2):136–141. https://doi.org/10.1080/08874417.2009.11645392
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. https://doi.org/10.1007/s10660-018-9288-9
Do Paço AMF, Reis R (2012) Factors affecting skepticism toward green advertising. J Advert 41(4):147–155. https://doi.org/10.1080/00913367.2012.10672463
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. https://doi.org/10.13956/j.ss.1001-8409.2016.11.14 (In Chinese)
Gaviria-Marin M, Merigó JM, Baier-Fuentes H (2018) Knowledge management: a global examination based on bibliometric analysis. Technol Forecast Soc Chang. https://doi.org/10.1016/j.techfore.2018.07.006
Goh SK, Balaji MS (2016) Linking green skepticism to green purchase behavior. J Clean Prod 131:629–638. https://doi.org/10.1016/j.jclepro.2016.04.122
Gordon-Wilson S, Modi P (2015) Personality and older consumers’ green behaviour in the UK. Futures 71:1–10. https://doi.org/10.1016/j.futures.2015.05.002
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. https://doi.org/10.13300/j.cnki.hnwkxb.2014.03.018 (In Chinese)
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. https://doi.org/10.1016/j.tourman.2014.09.014
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. https://doi.org/10.1016/j.ijhm.2010.01.001
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. https://doi.org/10.1016/j.tourman.2009.03.013
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. https://doi.org/10.1016/j.jbusres.2011.11.001
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)
Kim HJ (2005) A study on visualization of digital preservation knowledge domain using CiteSpace. J Korean Soc Libr Inf Sci 39(4):89–104. https://doi.org/10.4275/kslis.2005.39.4.089
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. https://doi.org/10.1080/09669581003777747
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. https://doi.org/10.1016/j.molcata.2009.08.011
Li WN, Wu KJ (2013) Relationship among stakeholders, green management and performance. Sci Sci Manage Sci Tech 34(5):89–96 (In Chinese)
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. https://doi.org/10.3724/sp.j.1042.2012.01128
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. https://doi.org/10.3390/su10124357
Li W, Tian L, Batool H (2018b) Impact of negative information diffusion on green behavior adoption. Resour Conserv Recycl 136:337–344. https://doi.org/10.1016/j.resconrec.2018.04.026
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. https://doi.org/10.1016/j.jclepro.2018.11.103
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. https://doi.org/10.15444/gmc2018.03.06.04
Liu N, Tang SY, Lo CWH, Zhan X (2016) Stakeholder demands and corporate environmental coping strategies in China. J Environ Manag 165:140–149. https://doi.org/10.1016/j.jenvman.2015.09.027
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. https://doi.org/10.1016/j.jclepro.2017.08.070
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. https://doi.org/10.1016/j.jclepro.2017.01.110
Mazar N, Zhong CB (2010) Do green products make us better people? Psychol Sci 21(4):494–498. https://doi.org/10.1177/0956797610363538
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. https://doi.org/10.1016/j.resconrec.2017.07.019
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. https://doi.org/10.1111/j.1754-9434.2012.01487.x
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. https://doi.org/10.1016/j.jenvp.2013.12.008
Paço A, Shiel C, Alves H (2019) A new model for testing green consumer behaviour. J Clean Prod 207:998–1006. https://doi.org/10.1016/j.jclepro.2018.10.105
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. https://doi.org/10.1509/jppm.30.1.31
Shiffrin RM, Börner K (2004) Mapping knowledge domains. Proc Natl Acad Sci U S A 101(suppl 1):5183–5185. https://doi.org/10.1073/pnas.0307852100
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. https://doi.org/10.1016/j.jclepro.2017.09.214
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. https://doi.org/10.1016/j.apenergy.2018.09.076
Wang JM, Wu LC (2015) Two-factor model of affection-behavior in green purchase: hypotheses and test. J Manag Sci 28(6):80–94. https://doi.org/10.3969/j.issn.1672-0334.2015.06.007 (In Chinese)
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. https://doi.org/10.1002/bse.1942
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. https://doi.org/10.1016/j.jenvp.2010.01.003
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. https://doi.org/10.1016/j.cej.2009.04.042
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)
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. https://doi.org/10.1016/j.jenvman.2018.07.007
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. https://doi.org/10.3390/su9081369
Young W, Hwang K, McDonald S, Oates CJ (2009) Sustainable consumption: green consumer behaviour when purchasing products. Sustain Dev 18(1):20–31. https://doi.org/10.1002/sd.394
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. https://doi.org/10.1021/jp208248v
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. https://doi.org/10.13968/j.cnki.1009-9107.2010.04.026 (In Chinese)
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. https://doi.org/10.1016/j.neuron.2008.09.027
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. https://doi.org/10.1016/j.jclepro.2018.04.013
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. https://doi.org/10.1016/j.enpol.2018.01.003
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. https://doi.org/10.2174/1874110x01408010489
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. https://doi.org/10.1016/j.jclepro.2013.05.021
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. https://doi.org/10.1016/j.egyr.2018.10.012
Funding
This work was also supported by the Special Funds of the National Social Science Fund of China (18VSJ038).
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Philippe Garrigues
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Li, X., Du, J. & Long, H. Dynamic analysis of international green behavior from the perspective of the mapping knowledge domain. Environ Sci Pollut Res 26, 6087–6098 (2019). https://doi.org/10.1007/s11356-018-04090-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-018-04090-1