Agricultural Climate Information Use: An Application of the Planned Behaviour Theory

Authors
M. Sharifzadeh 1
G. H. Zamani 1
D. Khalili 2
E. Karami 1
1 Department of Agricultural Extension and Education, College of Agriculture, Shiraz University, P. O. Box: 71441-65186, Shiraz, Islamic Republic of Iran.
2 Department of Water Engineering, College of Agriculture, Shiraz University, Shiraz, Islamic Republic of Iran.
Abstract
Despite considerable effort in developing climate information and demonstrating the potential benefits available to farmers, use of the climate information by farmers in farming decisions has not changed. The present research employed the theory of planned behaviour (TPB) as a theoretical framework to analyze the antecedents of agricultural climate information use behaviour. Fars Province wheat growers (n= 314) were administered a questionnaire survey that measured standard TPB constructs. The data and hypotheses were examined using structural equation modeling (SEM) by AMOS 7. Results from the maximum likelihood estimation showed that attitude was positively related to farmers’ climate information use in farming decisions. Thus, greater attitude (instrumental and affective) toward use of information in farming decisions was associated with stronger intention to engage in behaviour. Chi-square tests and fit indices indicated good fit for the final structural models. The results of this study demonstrated that the modified theory of planned behaviour provided a significant improvement on the model fit by adding a direct causal path linking attitude to behaviour. Applicability of the theory of planned behavior for measuring levels of wheat growers’ climate forecast use and the implications for future research are discussed.

Keywords

1. Adrian, A. M. 2006. Factors Influencing Adoption and Use of Precision Agriculture. A Dissertation Submitted to the Graduate Faculty of Auburn University in Partial Fulfillment of the Requirement for the Degree of Doctor of Philosophy, Auburn, Alabama.
2. Ajzen, I. 1991. The Theory of Planned Behavior. Organ. Behav. Hum. Dec., 50: 179-211.
3. Ajzen, I. 2005. Attitudes, Personality, and Behaviour. Open University, Milton Keynes. PP. 178.
4. Ajzen, I. 2002. Constructing a TPB Questionnaire: Conceptual and Methodological Considerations. Retrieved January 13, 2009, from: http://www-unix.oit.umass.edu/~aizen/.
5. Armitage, C. J. and Conner, M. 2001. Efficacy of the Theory of Planned Behaviour: A Meta-analytic Review. Brit. J. Soc. Psychol., 40: 471-499.
6. Artikov, I., Hoffman, S. J., Lynne, G. D., Pytlik Zillg, L. M., Hu, Q., Tomkins, A. J., Hubbard, K. G., Hayes, M. J. and Waltman, W. J. 2006. Understanding the Influence of Climate Forecasts on Farmer Decisions as Planned Behavior. J. Appl. Meteorol. Climatol., 45: 1202-1214.
7. Bagozzi, R. P. and Yi, Y. 1988. On the Evaluation of Structural Equation Models. J. Acad. Market. Sci., 16(1): 74-94.
8. Bamberg, S. 2003. How Does Environmental Concern Influence Specific Environmentally Related Behaviors? A New Answer to an Old Question. J. Environ. Psychol., 23 (1): 21–32.
9. Beedell, J. and Rehman, T. 2000. Using Social-psychology Models to Understand Farmers' Conservation Behaviour. J. Rural Stud., 16(1): 117–127.
10. Beedell, J. D. C. and Rehman, T. 1999. Explaining Farmers’ Conservation Behaviour: Why Do Farmers Behave the Way They Do? J. Environ. Manage., 57: 165–176.
11. Bergevoet, R. H. M., Ondersteijn, C. J. M., Saatkamp, H. W., van Woerkum, C. M. J. and Huirne, R. B. M. 2004. Entrepreneurial Behaviour of Dutch Dairy Farmers Under a Milk Quota System: Goals, Objectives and Attitudes. Agr. Syst., 80(1): 1–21.
12. Burton, R. F. 2004. Reconceptualising the ‘Behavioural Approach’ in Agricultural Studies: A Socio-psychological Perspective. J. Rural Stud., 20: 359-371.
13. Celuch, K., Goodwin, S. and Taylor, S. A. 2007. Understanding Small Scale Industrial User Internet Purchase and Information Management Intentions: A Test of Two Attitude Models. Ind. Market. Manag., 36(1): 109-120.
14. Chang, M. K. 1998. Predicting Unethical behavior: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behavior. J. Bus. Ethics, 17: 1825–1834.
15. Conner, M., Povey, R., Sparks, P., James, R. and Shepherd, R. 2003. Moderating Role of Attitudinal Ambivalence within the Theory of Planned Behaviour. Brit. J. Soc. Psychol., 42 (1): 75-94.
16. Davies, J., Foxall, G. R. and Pallister, J. 2002. Beyond the Intention–behaviour Mythology: An Integrated Model of Recycling. Market. Theory, 2 (1): 29-113.
17. Davis, F. D. 1993. User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts. Int. J. Man. Mach. Stud., 38: 475-485.
18. Do Valle, P. O., Rebelo, E., Reis, E. and Menezes, J. 2005. Combining Behavioral Theories to Predict Recycling Involvement. Environ. Behav., 37 (3): 364-396.
19. Fen, Y. S. and Sabaruddin, N. A. 2008. An Extended Model of Theory of Planned Behaviour in Predicting Exercise Intention. Int. Bus. Res., 1 (4): 108-122.
20. Fishbein, M. and Ajzen, I. 1975. Belief, attitude, Intention, and Behavior Behaviour: An Introduction to Theory And Research. Addison-Wesley, Reading, MA, PP.480.
21. Hammer, G. L., Hansen, J. W., Phillips, J. G., Mjelde, J. W., Hill, H., Love, A. and Potgieter, A. 2001. Advances in Application of Climate Prediction in Agriculture. Agr. Syst., 70: 515–553.
22. Harrison, M. and Williams, J. B. 2007. Communicating Seasonal Forecasts. In: “Seasonal Climate: Forecasting and Managing Risk”. (Eds.): Troccoli, A., Harrison, M., Anderson D. L. T. and Mason, S. J.. NATO Science Series, Springer Academic Publishers, Netherlands, PP. 299-322.
23. Harrison, M., Troccoli, A., Coughlan, M. and Williams, J. B. 2007. Seasonal Forecasts in Decision Making. In: “Seasonal Climate: Forecasting And Managing Risk”. (Eds.): Troccoli, A., Harrison, M., Anderson D. L. T., and Mason, S. J.. NATO Science Series, Springer Academic Publishers, Netherlands, PP. 13-44.
24. Hu, L. and Bentler, P. M. 1999. Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Struct. Equat. Model., 6: 1-55.
25. Hu, Q., Pytlik Zillg, L. M., Lynne, G. D., Tomkins, A. J., Waltman, W. J., Hayes, M. J., Hubbard, K. G., Artikov, I., Hoffman, S. J. and Wilhite, D. A. 2006. Understanding Farmers’ Forecast Use From Their Beliefs, Values, Social Norms, and Perceived Obstacles. J. Appl. Meteorol. Climatol., 45: 1190-1201.
26. Ingram, K. T., Roncoli, M. C. and Kirshen, P. H. 2002. Opportunities and Constraints for Farmers of West Africa to Use Seasonal Precipitation Forecasts With Burkina Faso as a Case Study. Agr. Syst., 74: 331–349.
27. Ivankova, N. V., Creswell, J. W. and Stick, S. L. 2006. Using Mixed-methods Sequential Explanatory Design: From Theory to Practice. Field Method., 18: 3-20.
28. Jagtap, S. S., Jones, J. W., Hildebrand, P., Letson, D., O’Brien, J. J., Podesta, G., Zierden, D. and Zazueta, F. 2002. Responding to Stakeholder’s Demands for Climate Information: From Research to Application in Florida. Agr. Syst., 74: 415-430.
29. Johnson, B. T. and Boynton, M. H. 2009. Putting Attitudes in Their Place: Behavioural Prediction in the Face of Competing Variables. Proceedings of the 12th Sydney Symposium of Social Psychology, March 2009, March 2009, Cambridge University Press, London, England, PP. 19-38.
30. Kaiser, F. G., Wölfing, S. and Fuhrer, U. 1999. Environmental Attitude and Ecological Behaviour. J. Environ. Psychol., 19: 1–19.
31. Karami, E. and Keshavarz, M. 2009. Sociology of Sustainable Agriculture. In: “Sociology, Organic Farming, Climate Change and Soil Science”. (Ed.): Litchfouse, E.. Sustainable Agriculture Reviews, Springer, Netherlands, 3: 19-40.
32. Karami, E. and Mansoorabadi, A. 2008. Sustainable Agricultural Attitudes and Behaviors: A Gender Analysis of Iranian Farmers. Environ. Dev. Sustain., 10(6): 883-898.
33. Karppinen, H. 2005. Forest Owners' Choice of Reforestation Method: An Application of the Theory of Planned Behavior. Forest Policy Econ., 7 (3): 393-409.
34. Kaufmann, P., Stagl, S. and Franks, D. W. 2009. Simulating the Diffusion of Organic Farming Practices in Two New EU Member States. Ecol. Econ., 68: 2580-2593.
35. Kolvereid, L. and Isaksen, E. 2006. New Business Start-Up and Subsequent Entry into Self Employment. J. Bus. Venturing, 21(6): 866–885.
36. Kraft, P., Rise, J., Sutton, S. and Røysamb, E. 2005. Perceived Difficulty in the Theory of Planned Behaviour: Perceived Behavioural Control or Affective Attitude? Brit. J. Soc. Psych., 44: 479–496.
37. Krueger, N. F., Reilly, M. D. and Carsrud, A. L. 2000. Competing Models of Entrepreneurial Intentions. J. Bus. Venturing, 15(5–6): 411–432.
38. Lam, S. P. 2006. Predicting Intention to Save Water: Theory of Planned Behavior, Response Efficacy, Vulnerability, and Perceived Efficacy of Alternative Solutions. J. Appl. Soc. Psychol., 36: 2803-2824.
39. Linger, H. and Aarons, J. 2005. Filling the Knowledge Management Sandwich: An Exploratory Study of a Complex Work Environment. In: “Information Systems Development: Advance in Theory, Practice and Education”. (Eds.): Vasilecas, O. and Caplinskas, A.. Springer, New York, PP. 501-513.
40. Lynne, G. D., Casey, C. F., Hodges, A. and Rahmani, M. 1995. Conservation Technology Adoption Decisions and the Theory of Planned Behavior. J. Econ. Psychol., 16(4): 581–598.
41. McIntosh, P. C., Pook, M. J., Risbey, J. S., Lisson, Sh. N. and Rebbeck, M. 2007. Seasonal Climate Forecasts for Agriculture: Towards Better Understanding and Value. Field Crop. Res., 104: 130-138.
42. Nazemos'sadat, S. M. J., Kamgar-Haghighi, A. A., Sharifzadeh, M. and Ahmadvand, M. 2006. Adoption of Long – Term Rainfall Forecasting: A Case of Fars Province Wheat Farmers. Iran. Agr. Ext. Educ. J., 2(2): 1-16.
43. Nelson, R. A., Holzworth, D. P., Hammer, G. L. and Hayman, P. T. 2002. Infusing the Use of Seasonal Climate Forecasting into Crop Management Practice in North East Australia Using Discussion Support Software. Agr. Syst., 74: 393–414.
44. Pallant, J. 2005. SPSS Survival Manual. A Step By Step Guide to Data Analysis Using SPSS for Windows. Version 12, Open University Press, Berkshire.
45. Pasban Eslam, B. 2009. Evaluation of Physiological Indices, Yield and Its Components as Screening Techniques for Water Deficit Tolerance in Oilseed Rape Cultivars. J. Agr. Sci. Tech., 11: 413-422.
46. Pozzebon M., Diniz, E. and Jayo, M. 2009. Adapting the Structurationist View of Technology for Studies at The Community/ Societal Levels. In: “Handbook of Research on Contemporary Theoretical Models in Information Systems”, (Eds.): Dwivedi, Y. K, Lal, B., Williams, M. D., Schneberger, S. L., and Wade, M. R.. Information Science Reference, IGI Global, Hershey, PA, USA, Chapter II, PP. 18-33.
47. Pulwarty, R. S., Olanrewaju, S. and Zorba, P. 2009. Communicating Agro Climatological Information, Including Forecasts, for Agricultural Decisions. In: “Guide to Agro-Meteorological Practices WMO Commission for Agricultural and Meteorological Practices”, (Ed.): Stigter, K.. Retrieved April 10, 2010, from: http://www.wmo.ch/web/wcp/agm/RevGAMP/ 40 pp
48. Ropelewski, C. F. and Lyon, B. 2002. Climate Information Systems and Their Applications. International Research Institute for Climate Prediction, Columbia University, Retrieved April 27, 2009, from: http://iri.columbia.edu/outreach/publication/book/ENSOsystem/chapter.html
49. Smarkola, C. 2008. Efficacy of a Planned Behavior Model: Beliefs That Contribute to Computer Usage Intentions of Student Teachers and Experienced Teachers. Comput. Hum. Behav., 24: 1196-1215.
50. Subbiah, A. R., Kalsi, S. R. and Yap, K. 2004. Climate Information Application for enhancing Resilience to Climate Risks. In: "The Meteorology Research Programme (TMRP)". Report of the International Committee of the Third International Workshop on Monsoons (IWM-III), 2-6 November 2004, Hangzhou, China, 70: 14-34.
51. Teguh Sambodo, L. A. A. 2007. The Decision Making Processes of Semi-commercial Farmers: A Case of Technology Adoption in Indonesia. A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy at Lincoln University.
52. Thomas, D. S. G., Twyman, C., Osbahr, H. and Hewitson, B. 2007. Adaptation to Climate Change and Variability: Farmer Responses to Intra-seasonal Precipitation Trends in South Africa. Climatic Change, 83: 301–322.
53. Tolma, E. L., Reininger, B. M., Evans, A. and Ureda, J. 2006. Examining the Theory of Planned Behavior and the Construct of Self-Efficacy to Predict Mammography Intention. Health Educ. Behav., 33 (2): 233-251.
54. Wong, J. K. and Sheth, J. N. 1985. Explaining Intention-Behaviour Discrepancy-- A Paradigm. In: “Advances in Consumer Research”, (Eds.): Hirschman E. C. and Holbrook, M. B.. Provo, Association for Consumer Research, UT, 12: 378-384.
55. Ziervogel, G. 2004. Targeting Seasonal Climate Forecasts for Integration into Household Level Decisions: The Case of Smallholder Farmers in Lesotho. Geogr. J., 170 (1): 6–21.
56. Ziervogel, G. and Downing, T. E. 2004. Stakeholder Networks: Improving Seasonal Climate Forecasts. Climatic Change, 65: 73-101.
57. Ziervogel, G., Bithell, M., Washington, R. and Downing, T. 2005. Agent-based Social Simulation: A Method for Assessing the Impact of Seasonal Climate Forecast
Applications Among Smallholder Farmers. Agr. Syst., 83 (1): 1-26.
Journal of Agricultural Science and Technology
Volume 14, Issue 3
May and June 2012
Pages 479-492