Restricted accessResearch articleFirst published online 2023-2
Influence of Internal and External Pressure Sensing on Green Travel Intention: Based on a Theoretical Model of the Theory of Planned Behavior and Pressure-state-response Model
Factors that affect environmentally sustainable travel behavior (or “green travel”) and their mechanisms of action are important to understand to conserve energy and reduce emissions. We constructed a model by integrating the theory of planned behavior (TPB) and the pressure-state-response (PSR) model with individual cognition of green travel policies (external pressure) and sensitivity of environmental problems (internal pressure). Then, an empirical study of 796 urban residents in eastern China was conducted. The results show that, with regard to the TPB, attitude has a direct and significant impact on self-practiced and interpersonal intentions, while perceived behavior control has a similar effect on self-practiced green travel intentions. Further, our results also indicate that subjective norms have indirect influence on both self-practiced and interpersonal intentions by affecting attitudes. With regard to the PSR model, urban residents’ cognitions of external and internal pressures affect their green travel intentions in various ways. Based on the results, some relevant policy recommendations aimed at promoting green travel are proposed.
YangR. R.LiL.ZhuJ.Impact of the Consciousness Factor on the Green Travel Behavior of Urban Residents: An Analysis Based on Interaction and Regulating Effects in Chinese Cultural Context. Journal of Cleaner Production, Vol. 274, 2020, p. 122894.
5.
LiaoH.KeB.Research on Urban Residents’ Low-Carbon Travel Behavior Based on Planned Behavior Theory and Environmental Values. Resources and Industry, Vol. 22, No. 4, 2020, pp. 64–70. [In Chinese]
6.
ZhengJ. J.XuM.LiR.YuL.Research on Group Choice Behavior in Green Travel Based on Planned Behavior Theory and Complex Network. Sustainability, Vol. 11, No. 4, 2019, p. 3765.
7.
LiW.ZhaoS.MaJ.QinW.Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach. Sustainability, Vol. 13, No. 6, 2021, p. 3492.
8.
AgagG.BrownA.HassaneinA.ShaalanA.Decoding Travellers’ Willingness to Pay More for Green Travel Products: Closing the Intention–Behaviour Gap. Journal of Sustainable Tourism, Vol. 28, No. 10, 2020, pp. 1551–1575.
9.
DällenbachN.Low-Carbon Travel Mode Choices: The Role of Time Perceptions and Familiarity. Transportation Research Part D: Transport and Environment, Vol. 86, 2020, p. 102378.
10.
ZhangH.ZhugeC.JiaJ.ShiB.WangW.Green Travel Mobility of Dockless Bike-Sharing Based on Trip Data in Big Cities: A Spatial Network Analysis. Journal of Cleaner Production, Vol. 313, 2021, p. 127930.
11.
GengJ. C.LongR.ChenH.LiW.Exploring the Motivation-Behavior Gap in Urban Residents’ Green Travel Behavior: A Theoretical and Empirical Study. Resources, Conservation and Recycling, Vol. 125, 2017, pp. 282–292.
12.
AjzenI.The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, Vol. 50, 1991, pp. 179–211.
13.
Ansu-MensahP.MuradA.Towards Sustainable Consumption: Predicting the Impact of Social-Psychological Factors on Energy Conservation Intentions in Northern Cyprus. Natural Resources Forum, Vol. 43, 2019, pp. 181–193.
14.
WangS. Y.JiC.HeH.ZhangZ.ZhangL.Tourists’ Waste Reduction Behavioral Intentions at Tourist Destinations: An Integrative Research Framework. Sustainable Production and Consumption, Vol. 25, 2021, pp. 540–550.
15.
LopesJ.KalidR.RodríguezJ.FilhoS.A New Model for Assessing Industrial Worker Behavior Regarding Energy Saving Considering the Theory of Planned Behavior, Norm Activation Model and Human Reliability. Resources, Conservation and Recycling, Vol. 145, 2019, pp. 268–278.
16.
WangZ.GuoD.WangX.ZhangB.WangB.How Does Information Publicity Influence Residents’ Behaviour Intentions Around E-Waste Recycling?Resources, Conservation and Recycling, Vol. 133, 2018, pp. 1–9.
17.
SujataM.KhorK.RamayahT.TeohA.The Role of Social Media on Recycling Behaviour. Sustainable Production and Consumption, Vol. 20, 2019, pp. 365–374.
18.
RuX. J.QinH.WangS.Young People’s Behaviour Intentions Towards Reducing PM2.5 in China: Extending the Theory of Planned Behaviour. Resources, Conservation and Recycling, Vol. 141, 2019, pp. 99–108.
19.
PanJ. Y.TruongD.Passengers’ Intentions to Use Low-Cost Carriers: An Extended Theory of Planned Behavior Model. Journal of Air Transport Management, Vol. 69, 2018, pp. 38–48.
20.
SiH. Y.ShiJ.TangD.WuG.LanJ.Understanding Intention and Behavior Toward Sustainable Usage of Bike Sharing by Extending the Theory of Planned Behavior. Resources, Conservation and Recycling, Vol. 152, 2020, pp. 1–10.
21.
HaH. Y.JandaS.Predicting Consumer Intentions to Purchase Energy-Efficient Products. Journal of Consumer Marketing, Vol. 29, No. 7, 2017, pp. 461–469.
22.
DongX. Y.ZhangB.WangB.WangZ.Urban Households’ Purchase Intentions for Pure Electric Vehicles Under Subsidy Contexts in China: Do Cost Factors Matter?Transportation Research Part A: Policy and Practice, Vol. 135, 2020, pp. 183–197.
23.
ShiH. X.WangS.GuoS.Predicting the Impacts of Psychological Factors and Policy Factors on Individual’s PM2.5 Reduction Behavior: An Empirical Study in China. Journal of Cleaner Production, Vol. 241, 2019, p. 118416.
24.
DaviesJ.FoxallG.PallisterJ.Beyond the Intention–Behaviour Mythology: An Integrated Model of Recycling. Marketing Theory, Vol. 2, No. 1, 2002, pp. 29–113.
25.
AliS.UllahH.AkbarM.AkhtarW.ZahidH.Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan. Sustainability, Vol. 11, 2019, p. 1462.
26.
Higueras-CastilloE.Liébana-CabanillasF.Munoz-LeivaF.Garcia-Maroto. Evaluating Consumer Attitudes Toward Electromobility and the Moderating Effect of Perceived Consumer Effectiveness. Journal of Retailing and Consumer Services, Vol. 51, 2019, pp. 387–398.
27.
ZhangB.LaiK.WangB.WangZ.From Intention to Action: How do Personal Attitudes, Facilities Accessibility, and Government Stimulus Matter for Household Waste Sorting?Journal of Environment Management, Vol. 233, 2019, pp. 447–458.
28.
WangS. Y.WangJ.LiJ.WangJ.LiangL.Policy Implications for Promoting the Adoption of Electric Vehicles: Do Consumer’s Knowledge, Perceived Risk and Financial Incentive Policy Matter?Transportation Research Part A: Policy and Practice, Vol. 117, 2018, pp. 58–69.
29.
YinJ.Research on Beijing Residents’ Choice of Travel Mode. Beijing Jiaotong University, 2012. [In Chinese]
30.
KaffashiS.ShamsudinM.Transforming to a Low Carbon Society; An Extended Theory of Planned Behaviour of Malaysian Citizens. Journal of Cleaner Production, Vol. 235, 2019, pp. 1255–1264.
31.
YangS.ChengP.LiJ.WangS.Which Group Should Policies Target? Effects of Incentive Policies and Product Cognitions for Electric Vehicle Adoption Among Chinese Consumers. Energy Policy, Vol. 135, 2019, p. 111009.
32.
WangS. Y.LiJ.ZhaoD.The Impact of Policy Measures on Consumer Intention to Adopt Electric Vehicles: Evidence From China. Transportation Research Part A: Policy and Practice, Vol. 105, 2017, pp. 14–26.
33.
CoadA.HaanP.WoersdorferJ.Consumer Support for Environmental Policies: An Application to Purchases of Green Cars. Ecological Economics, Vol. 68, 2009, pp. 2078–2086.
34.
CerveroR.MurphyS.FerrellC.GogutsN.TsaiY.-H.ArringtonG. B.BoroskiJ., et al. Transit-oriented development in the United States: experience, challenges, and prospects. Transportation Research Board, Washington, D.C., 2004.
35.
ZhuD. J.Research on Green Transformation of Chinese Cities Based on PSR Method. Journal of Tongji University (Social Science Edition), Vol. 22, No. 4, 2011, pp. 37–47. [In Chinese]
36.
ZhouZ. Z.WangJ.Research on the Ecological Environment Pressure of Yangtze River Economic Belt_Coupling and Coordinated Development of State and Response. Science and Technology Management Research, Vol. 39, No. 17, 2019, pp. 234–240. [In Chinese]
37.
XiongJ. N.LiW.ZhangH.ChengW.YeC.ZhaoY.Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data With Possible Application for Explaining the State of the Ecosystem. Sustainability, Vol. 11, No. 17, 2019, p. 4781.
38.
YangR. R.LongR.BaiY.LiL.The Influence of Household Heterogeneity Factors on the Green Travel Behavior of Urban Residents in the East China Region. Sustainability, Vol. 9, No. 2, 2017, p. 237.
39.
YangR. R.Research on Driving Mechanism and Policy of Green Travel Behavior of Urban Residents. China University of Mining and Technology, 2016. [In Chinese]
40.
WangY. T.WangY.LiN.Mangrove Ecosystem Health Evaluation System Based on PSR Model Taking Guangdong Province as an Example. Ecological Science, Vol. 29, No. 3, 2010, pp. 234–241. [In Chinese]
41.
ZhangA. Q.An Overview of Motivational Psychology Research in the 20th Century. Social Sciences Abroad, Vol. 2, 1992, pp. 10–15. [In Chinese]
42.
HattieJ.HodisF.KangS.Theories of Motivation: Integration and Ways Forward. Contemporary Educational Psychology, Vol. 61, 2020, p. 101865.
43.
DingZ. H.WangG.LiuZ.LongR.Research on Differences in the Factors Influencing the Energy-Saving Behavior of Urban and Rural Residents in China–A Case Study of Jiangsu Province. Energy Policy, Vol. 100, 2017, pp. 252–259.
44.
LiW. B.LongR.ChenH.ChenF.ZhengX.YangM.Effect of Policy Incentives on the Uptake of Electric Vehicles in China. Sustainability, Vol. 11, No. 12, 2019, p. 3323.
45.
BiresseliogluM. E.DemirM.RashidA.SolakB.OzyorulmazE.What are the Preferences of Household Energy Use in Pakistan? Findings From a National Survey. Energy and Buildings, Vol. 205, 2019, p. 109538.
46.
WangY.LiangJ.YangJ.MaX.LiX.WuJ.YangG.RenG.FengY.Analysis of the Environmental Behavior of Farmers for Non-Point Source Pollution Control and Management: An Integration of the Theory of Planned Behavior and the Protection Motivation Theory. Journal of Environmental Management, Vol. 237, 2019, pp. 15–23.
47.
De GrootJ. I. M.SchuitemaG.How to Make the Unpopular Popular? Policy Characteristics, Social Norms and the Acceptability of Environmental Policies. Environmental Science & Policy, Vol. 19–20, 2012, pp. 100–107.
48.
LiL.MingH.YangR.LuoX.The Impact of Policy Factors and Users’ Awareness on Electricity-Saving Behaviors: From the Perspective of Habits and Investment. Sustainability, Vol. 12, No. 12, 2020, p. 4815.
49.
MishalA.DubeyR.GuptaO.LuoZ.Dynamics of Environmental Consciousness and Green Purchase Behaviour: An Empirical Study. International Journal of Climate Change Strategies and Management, Vol. 9, 2017, pp. 682–706.
50.
KautishP.SharmaR.Study on Relationships Among Terminal and Instrumental Values, Environmental Consciousness and Behavioral Intentions for Green Products. Journal of Indian Business Research, Vol. 13, No. 1, 2018, pp. 1–29.
51.
LiG. M.LiW.JinZ.WangZ.Influence of Environmental Concern and Knowledge on Households’ Willingness to Purchase Energy-Efficient Appliances: A Case Study in Shanxi, China. Sustainability, Vol. 11, No. 4, 2019, p. 1073.
52.
LiaoC. H.ZhaoD.ZhangS.Psychological and Conditional Factors Influencing Staff’s Takeaway Waste Separation Intention: An Application of the Extended Theory of Planned Behavior. Sustainable Cities and Society, Vol. 41, 2018, pp. 186–194.
53.
Fuso NeriniF.TomeiJ.ToL. S.BisagaI.ParikhP.BlackM.BorrionA., et al. Mapping Synergies and Trade-Offs Between Energy and the Sustainable Development Goals. Nature Energy, Vol. 3, 2018, pp. 10–15.
54.
TrottaG.Factors Affecting Energy-Saving Behaviours and Energy Efficiency Investments in British Households. Energy Policy, Vol. 114, 2018, pp. 529–539.
55.
GkargkavouziA.HalkosG.MatsioriS.Environmental Behavior in a Private-Sphere Context: Integrating Theories of Planned Behavior and Value Belief Norm, Self-Identity and Habit. Resources, Conservation and Recycling, Vol. 148, 2019, pp. 145–156.
56.
ShiH. X.FanJ.ZhaoD.Predicting Household PM2.5-Reduction Behavior in Chinese Urban Areas: An Integrative Model of Theory of Planned Behavior and Norm Activation Theory. Journal of Cleaner Production, Vol. 145, 2017, pp. 64–73.
57.
HsiaoC. H.YangC.Predicting the Travel Intention to Take High Speed Rail Among College Students. Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 13, No. 4, 2010, pp. 277–287.
58.
National Bureau of Statistics. China Statistical Yearbook (2021). China Statistics Press. September2021.
59.
PrillwitzJ.BarrS.Moving Towards Sustainability? Mobility Styles, Attitudes and Individual Travel Behaviour. Journal of Transport Geography, Vol. 19, No. 6, 2011, pp. 1590–1600.
60.
PoortingaW.StegL.VlekC.Values, Environmental Concern, and Environmental Behavior: A Study Into Household Energy Use. Environment and Behavior, Vol. 36, No. 1, 2016, pp. 70–93.
61.
Van AckerV.WitloxF.Car Ownership as a Mediating Variable in Car Travel Behaviour Research Using a Structural Equation Modelling Approach to Identify its Dual Relationship. Journal of Transport Geography, Vol. 18, No. 1, 2010, pp. 65–74.
62.
AndersonJ. C.GerbingD.Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, Vol. 103, 1988, pp. 411–423.
63.
IacobucciD.Everything you Always Wanted to Know About SEM (Structural Equations Modeling) but Were Afraid to Ask. Journal of Consumer Psychology, Vol. 19, No. 4, 2009, pp. 673–680.
64.
JabeenG.YanQ.AhmadM.FatimaN.QamarS.Consumers’ Intention-Based Influence Factors of Renewable Power Generation Technology Utilization: A Structural Equation Modeling Approach. Journal of Cleaner Production, Vol. 237, 2019, p. 117737.
65.
HairJ. F.RingleC.SarstedtM.Partial Least Squares: The Better Approach to Structural Equation Modeling?Long Range Planning, Vol. 45, 2012, pp. 312–319.
66.
MardiaK. V.Measures of Multivariate Skewness and Kurtosis With Applications. Biometrika, Vol. 57, 1970, pp. 519–530.
67.
MardiaK. V.FosterK.Omnibus Tests of Multinormality Based on Skewness and Kurtosis. Communications in Statistics-Theory and Methods, Vol. 12, 1983, pp. 207–212.
68.
RigdonE. E.A Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice. Multivariate Behavioral Research, Vol. 30, No. 3, 1995, pp. 359–383.
69.
BagozziR. P.YiY.On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, Vol. 14, No. 1, 1988, pp. 33–46.
70.
ZhaoY.China’s New Energy Vehicle Subsidy Policy Review and its Impact on Sales: A New Energy as an Example. Guangxi Quality Supervision Review, Vol. 10, 2019, p. 127. [In Chinese]
71.
HeA. Z.LiT.GaiY.The Impact of Urban Residents’ Low-Carbon Interest Concern and Low-Carbon Responsibility Awareness on Low-Carbon Consumption: An Analysis of the Differences Between Eastern, Central and Western Regions Based on the Multi-Group Structural Equation Model. China Soft Science, Vol. 8, 2011, pp. 185–192. [In Chinese]
72.
KelmanH. C.The Role of Action in Attitude Change. Nebraska Symposium on Motivation, Vol. 27, 1980, pp. 117–194.
73.
TincP. J.GoodspeedM.SorensenJ.Understanding Trends in PTO Shielding Using Kelman’s Processes of Change. Journal of Agromedicine, Vol. 26, No. 2, 2021, pp. 193–198.
74.
LuX. F.HanL.Mediator, Moderator and Covariate Variables: Concepts, Statistical Testing, and Comparison. Journal of Psychological Science, Vol. 4, 2007, pp. 934–936. [In Chinese]
75.
MackinnonD. P.LockwoodC.WilliamsJ.Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods. Multivariate Behavioral Research, Vol. 39, No. 1, 2004, pp. 99–128.
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