Intention and willingness to pay for green freight transportation: An empirical examination

Transportation Research Part D: Transport and Environment

Volumn 31, Issue , 2014, Pages 116-125

  Schniederjans, Dara G ^a   Starkey, Christopher M ^b  

^a UNIVERSITY OF RHODE ISLAND   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Freight; Green transportation; Intention; Theory of planned behavior; Willingness to pay

Indexed keywords

CONSUMER BEHAVIOR; ENERGY EFFICIENCY;

FREIGHT; GREEN TRANSPORTATIONS; INTENTION; THEORY OF PLANNED BEHAVIOR; WILLINGNESS TO PAY;

FREIGHT TRANSPORTATION;

EMPIRICAL ANALYSIS; ENERGY EFFICIENCY; FREIGHT TRANSPORT; TRANSPORTATION SYSTEM; WILLINGNESS TO PAY;

EID: 84903884146     PISSN: 13619209     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trd.2014.05.024     Document Type: Article

References (53)

1. Ajzen I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50(2):179-211.
2. Amirjamshidi G., Mostafa T.S., Misra A., Roorda M.J. Integrated model for micro simulating vehicle emissions, pollutant dispersion and population exposure. Transp. Res. Part D 2013, 18:16-24.
3. Ba S., Pavlou P.A. Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior. MIS Quart. 2002, 26(3):243-268.
4. Bernath K., Roschewitz A. Recreational benefits of urban forests: explaining visitors' willingness to pay in the context of the theory of planned behavior. J. Environ. Manag. 2008, 89:155-166.
5. Boldero J. The prediction of household recycling newspapers: the role of attitudes, intentions and situational factors. J. Appl. Soc. Psychol. 1995, 25:440-462.
6. Bollen K.A. Structural Equations with Latent Variables 1989, Wiley, New York, NY.
7. Brazil W., Caulfield B., Rieser-Schüssler N. Understanding carbon: making emissions information relevant. Transp. Res. Part D 2013, 19:28-33.
8. Coleman L.J., Bahnan N., Kelkar M., Curry N. Walking the walk: how the theory of reasoned action explains adult and student intentions to go green. J. Appl. Bus. Res. 2011, 27(3):107-116.
9. Cordano M., Frieze I.H. Pollution reduction preferences of U.S. environmental managers: applying Ajzen's theory of planned behavior. Acad. Manag. J. 2000, 43:624-641.
10. Davis D. Business Research for Decision Making 1995, Wadworth, Belmount, CA.
11. Ewing R., Schmid T., Killingsworth R., Zlot A., Raudenbush S. Relationship between urban sprawl and physical activity, obesity, and morbidity. Am. J. Health Promot. 2003, 18:47-57.
12. Fishbein M., Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1975, Addison-Wesley, Reading, MA.
13. Flannery B., May D. Environmental ethical decision making in the U.S. metal-finishing industry. Acad. Manag. J. 2000, 43(4):642-662.
14. Gil L.A., Kwon K.N., Good L.K., Johnson L.W. Impact of self on attitudes toward luxury brands among teens. J. Bus. Res. 2012, 65(10):1425-1433.
15. Glenk K., Fischer A. Insurance, prevention or just wait and see? Public preferences for water management strategies in the context of climate change. Ecol. Econ. 2010, 69(11):2279-2291.
16. Hair J.F., Black W.C., Babin B.J., Anderson R.E., Tatham R.L. Multivariate Data Analysis 2006, Prentice Hall Inc., NJ.
17. Han Y., Hansen H. Determinants of sustainable food consumption: a meta-analysis using a traditional and a structural equation modeling approach. Int. J. Psychol. Stud. 2012, 4(1):1-22.
18. Handy S., Cao X.Y., Mokhtarian P. Correlation or causality between the built environment and travel behavior? Evidence from northern California. Transp. Res. Part D 2005, 10:427-444.
19. Heinen E., Maat K., Wee B.V. The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances. Transp. Res. Part D 2011, 16(2):102-109.
20. Hu L.T., Bentler P.M. Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol. Methods 1998, 3:424-453.
21. Hurley A.E., Scandura T.A., Schriesheim C.A., Brannick M.T., Seers A., Vandenberg R.J., Williams L.J. Exploratory and confirmatory factor analysis: guidelines, issues, and alternatives. J. Organ. Behav. 1997, 18:667-683.
22. Ito N., Takeuchi K., Managi S. Willingness-to-pay for infrastructure investments for alternative fuel vehicles. Transp. Res. Part D 2013, 18:1-8.
23. Kelloway E.K. Structural equation modelling in perspective. J. Organ. Behav. 1995, 16(3):215-224.
24. Klöckner C.A., Nayum A., Mehmetoglu M. Positive and negative spillover effects from electric car purchase to car use. Transp. Res. Part D 2013, 21:32-38.
25. Kraus S.J. Attitudes and prediction of behavior - a meta-analysis of the empirical literature. Pers. Soc. Psychol. Bull. 1995, 21:58-75.
26. Loureiro M.L., Lotade J. Do fair trade and eco-labels in coffee wake up the consumer conscience?. Ecol. Econ. 2005, 53:129-138.
27. Louviere J.J., Islam T. A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling. J. Bus. Res. 2008, 61(9):903-911.
28. Luzar E.J., Cosse K.J. Willingness to pay or intention to pay: the attitude-behavior relationship in contingent valuation. J. Socio-Econ. 1998, 27(3):427-444.
29. Mansfield E.R., Helms B.P. Detecting multicollinearity. Am. Stat. 1982, 36(3a):158-160.
30. Matthews, R., 2013. Consumer Awareness Driving Corporate Sustainability in 2013. (accessed 08.13). http://www.thegreenmarketoracle.com/2013/01/consumer-awareness-driving-corporate.html.
31. McAndrews C., Deakin E., Schipper L. Including climate change considerations in Latin American urban transport practices and policy agendas. J. Environ. Plan. Manag. 2013, 56(5):674-694.
32. Michalos A.C., Creech H., Swayze N., Kahlke P.M., Buckler C., Rempel K. Measuring knowledge, attitudes and behaviors concerning sustainable development among tenth grade students in Manitoba. Soc. Indic. Res. 2012, 106:213-238.
33. Nakamura K., Hayashi Y. Strategies and instruments for low-carbon urban transport: an international review on trends and effects. Transp. Policy 2013, 29:264-274.
34. Norsworthy M., Craft E. Emissions reduction analysis of voluntary clean truck programs at U.S. ports. Transp. Res. Part D 2013, 22:23-27.
35. Pavlou P.A., Fygenson M. Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Quart. 2006, 30(1):115-143.
36. Polonsky M.J., Vocino S.L., Grau R., Garma A.S., Ferdous A. The impact of general and carbon-related environmental knowledge on attitudes and behavior of U.S. consumers. J. Market. Manag. 2012, 28(3-4):238-263.
37. Rivera-Camino J. Corporate environmental market responsiveness: a model of individual and organizational drivers. J. Bus. Res. 2012, 65:402-411.
38. Rodriguez D.A., Brisson E.M., Estupinan N. The relationship between segment-level built environment attributes and pedestrian activity around Bogota's BRT stations. Transp. Res. Part D 2009, 14:470-478.
39. Salman A.Z., Al-Karablieh E. Measuring the willingness of farmers to pay for groundwater in the highland areas of Jordan. Agric. Water Manag. 2004, 1:61-76.
40. Senbel M., Ngo V.D., Blair E. Social mobilization of climate change: university students conserving energy through multiple pathways for peer engagement. J. Environ. Psychol. 2014, 38:84-93.
41. Sigurdardottir S.B., Kaplan S., Moller M., Teasdale T.W. Understanding adolescents' intentions to commute by car or bicycle as adults. Transp. Res. Part D 2013, 24:1-9.
42. Simon, S., 2010. The Secret to Turning Consumers Green: It isn't Financial Incentives. It isn't More Information. It's Guilt. (accessed 04.14). http://online.wsj.com/news/articles/SB10001424052748704575304575296243891721972.
43. Song Y., Knaap G.J. Quantitative classification of neighbourhoods: the neighbourhoods of new single-family homes in the Portland metropolitan area. J. Urban Des. 2007, 12:1-24.
44. Sperling, D., Salon, D., 2002. Transportation in developing countries: an overview of greenhouse gas reduction strategies. In: Pew Center on Global Climate Change. University of California Davis.
45. Taylor S., Todd P. An integrated model of waste management. Environ. Behav. 1995, 27(5):603-630.
46. Testa F., Iraldo F. Shadows and lights of GSCM (green supply chain management): determinants and effects of these practices based on a multi-national study. J. Clean. Prod. 2010, 18(10-11):953-962.
47. Ullman J.B., Bentler P.M. Structural equation modelling. Handb. Psychol. 2003, 607-634.
48. Vandenberg R.J., Lance C.E. A review and synthesis of the measurement invariance literature: suggestions, practices and recommendations for organizational research. Organ. Res. Methods 2000, 2:4-69.
49. Vermeir I., Verbeke W. Sustainable food consumption: exploring the consumer "attitude-behavioral intention" gap. J. Agric. Environ. Ethics 2006, 19(1):169-194.
50. West S.G., Finch J.F., Curran P.J. Structural equation models with no normal variables: problems and remedies. Structural Equation Modeling 1995, Sage, Thousand Oaks, CA. R.H. Hoyle (Ed.).
51. Xu J., Benbasat I., Cenfetelli R.T. Integrating service quality with system and information quality: an empirical test in the e-service context. MIS Quart. 2013, 37(3):777-804.
52. Yang Y., Chang W.M. Impact of electric rubber-tired gantries on green port performance. Res. Transp. Bus. Manag. 2013, 8:67-76.
53. Zhu Q., Sarkis J. Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. J. Oper. Manag. 2004, 22(3):265-289.