واکاوی عوامل روانشناختی تأثیرگذار بر رفتار به‌کارگیری سامانه آبیاری کم‌فشار در استان آذربایجان‌شرقی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیارگروه ترویج، ارتباطات و توسعه روستایی، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران

2 استادیار گروه کشاورزی، دانشگاه پیام نور، تهران، ایران

3 استاد گروه ترویج و توسعه کشاورزی، دانشکده اقتصاد و توسعه کشاورزی، دانشگاه تهران، کرج، ایران

چکیده

یکی از سازوکارهای اصلی در مدیریت بهینه مصرف آب در کشاورزی، استفاده از فناوری­های مرتبط برای دستیابی به بهره­وری بالا است. در سال­های اخیر فناوری آبیاری کم­فشار به­عنوان یکی از روش­های نوین بهبود راندمان آبیاری سطحی مورد توجه قرار گرفته است. با توجه به اهمیت عوامل روانشناختی بر رفتار کشاورزان در به­کارگیری فناوری­های نوین، پژوهش حاضر با هدف تحلیل عوامل روانشناختی موثر بر رفتار کشاورزان در به­کارگیری سامانه آبیاری کم­فشار در استان آذربایجان­شرقی انجام شده است. این پژوهش به لحاظ هدف، کاربردی و از نظر طرح تحقیق، پژوهش­ کمی است. جامعه آماری تحقیق، کشاورزان استان آذربایجان­شرقی به تعداد 112010 نفر بودند که بر اساس فرمول کوکران، نمونه 393 نفری از آن­ها با استفاده از روش نمونه­گیری چندمرحله­ای انتخاب شدند. برای تجزیه و تحلیل داده­ها از نرم­افزارهای SPSS20  و AMOS21 استفاده شد. نتایج تجربی پژوهش با استفاده از مدل­سازی معادلات ساختاری نشان داد که متغیرهای نگرش، خودکارآمدی، هنجارهای اخلاقی، کنترل رفتاری و تمایل بر به­کارگیری فناوری آبیاری کم­فشار، 57 درصد از واریانس متغیر کاربرد آبیاری کم­فشار را تبیین کردند. همچنین، بر اساس نتایج مشخص شد که متغیر هنجارهای اخلاقی، پیش­بینی­کننده قوی­تری برای متغیر تمایل به کاربرد آبیاری کم­فشار بود.

کلیدواژه‌ها


  1. Ahmadvand, M., &Sharafipour, L. (2019). Determinants of water conservation behavior of wheat farmers in Orzuieh city using conservation motivation theory. Irrigation and Water Engineering of Iran, 38, 275-259. (In Farsi)
  2. Alkhasawneh, H. & Irshaidat, R. (2017). Empirical validation of the decomposed theory of planned behavior model within the mobile bank in adoption context. International Journal of Electronic Marketing and Retailing, 8 (1), 58-76.
  3. Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2008). Predicting intentions to purchase organic food: The role of affective and moral attitudes in the theory of planned behaviour. Appetite, 50(2), 443-454.
  4. Bamberg, S. & Moser, G. (2007). Twenty years after Hines, ¨Hungerford, and Tomera: a new meta-analysis of psycho-social determinants of pro-environmental behaviour. Environmental Psychology, 27, 14-25.
  5. Behbahani Motlagh, M., Sharifzadeh, M-S., Abdollahzadeh, G-H. & Mahboobi, M-R. (2018). Farmers' Adoption Behavior of Pressurized Irrigation Technology in Dashtestan County. Agricultural Extension and Education, 13 (1), 89-103. (In Farsi)
  6. Bolliger, D. U., Supanakorn, S., & Boggs, C. (2010). Impact of podcasting on student motivation inthe online learning environment. Computers and Education, 55(2), 714-722.
  7. Burton, R. J. (2004). Reconceptualising the behavioral approach in agricultural studies: a socio psychological perspective. Journal of Rural Studies, 20(3), 359-371.
  8. Castillo, G.M.L., Engler, A., & Wollni, M. (2021). Planned behavior and social capital: Understanding farmers’ behavior toward pressurized irrigation technologies. Agricultural Water Management, 243,1-20.
  9. Chan, L., & Bishop, B. (2013). A moral basis for recycling: Extending the theory of planned behavior. Environmental Psychology, 36(4), 96-102.
  10. Chen, M. F. & Tung, P. J. (2014). Developing an extended theory of planned behavior model to predict consumers' intention to visit green hotels. Hospitality Management, 36, 221–230.
  11. Chuchird, R., Sasaki, N., & Abe, I. (2017). Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand. Sustainability. 9(9), 1-16.
  12. Civelek, M.E. (2018). Essentials of Structural Equation Modeling. Zea E-Books. 64.
    htps://digitalcommons.unl.edu/zeabook/64
  13. Cook, A. J., Kerr, G. N., & Moore, K. (2002). Attitudes and intentions towards purchasing GM food. Economic Psychology, 23(5), 557-572.
  14. East Azerbaijan Jihad-e-Agriculture Organization. (2017). Fifty-seven thousand hectares of land in East Azerbaijan are equipped with modern irrigation. Retrieved from: http://www.irna.ir/eazarbaijan/fa/News/ (In Farsi)
  15. El-Shafie, F., Marwa, M.A, & Dewedar, O.M. (2018). Research Article Hydraulic Performance Analysis of Flexible Gated Pipe Irrigation Technique Using GPIMOD Model. Asian Journal of Crop Science, 10(4), 180-189.
  16. Feizabadi Y., & Gorji E.M. (2018). Analysis of effective factors on agricultural water management in Iran. Water and Land Development, 38, 35–41.
  17. Fielding, K.S., McDonald, R., & Louis, W.R. (2008). Theory of planned behavior, identity and intentions to engage in environmental activism. Journal of Environmental Psychology, 28(4), 318-326.
  18. Folorunso, O., & Ogunseye, S. (2008). Applying an enhanced technology acceptance model to knowledge management in agricultural extension services. Data Science Journal, 7. 31-45.
  19. Foster, T., Brozovic, N., Butler, A.P., Neale, C.M.U., Raes, D., Steduto, P., Fereres, E. & Hsiao, T.C. (2017). AquaCrop-OS: An open source version of FAO’s crop water productivity model. Agricultural Water Management, 181, 18–22.
  20. Gangwal, N. & Bansal, V. (2016). Application of Decomposed Theory of Planned Behavior for M-commerce Adoption in India. Proceeding of 18th International Conference on Enterprise Information Systems (ICEIS), India, 357-367.
  21. Garcia-Saldana, A., Landeros-Sanchez, C., Castaneda-Chavez, M., Martinez-Davila, J., Perez-Vazquez, A., & Carrillo-Avila, E. (2019). Fertirrigation with Low-Pressure Multi-Gate Irrigation Systems in Sugarcane Agro ecosystems: A Review. Pedosphere, 29(1), 1–11.
  22. Haacker, E., Sharda, V., Cano, A., Hrozencik, R., Nunez, A., Zambreski, Z., Nozari, S., Smith, G., Moore, L., Sharma, S., Gowda, P., Ray, C., Schipanski, M & Wascom, R. (2019). Transition Pathways to Sustainable Agricultural Water Management: A Review of Integrated Modeling Approaches. Journal of the American Water Resources Association, 55(1), 6-23.
  23. Harland, P., Staats, H., & Wilke, H. A. (2007). Situational and personality factors as direct or personal norm mediated predictors of pro- environmental behavior: Questions derived from norm-activation theory. Basic and Applied Social Psychology, 29(4), 323-334.
  24. Hung, S.Y., & Wu, H, L. (2012). Factors Influencing User Acceptance of Web-Based Decision Support Systems. Journal of Computer Information Systems, 52(4), 70-77.
  25. Islamic Parliament Research Center. (2018). Investigating the water crisis and its consequences in the country. Deputy of Infrastructure Research and Production Affairs, No. 15608. (In Farsi)
  26. Kaiser, F.G., & Scheuthle, H. (2003). Two challenges to a moral extension of the theory of planned behavior: moral norms and just world beliefs in conservationism. Personality and Individual Differences, 35, 1033-1048.
  27. Kaiser, F.G. (2006). A moral extension of the theory of planned behavior: Norms and anticipated feelings of regret in conservationism. Personality and Individual Differences, 41, 71–81.
  28. Kang, S., Hao, X., Du, T., Tong, L., Su, X., Lu, H., Li, X., Huo, Z., Li, S. & Ding, R. (2017). Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice. Agricultural Water Management, 179, 5–17.
  29. Kazemi, A., Nilipour, A. & Kabiry, N. (2013). Factors affecting Isfahanian mobile banking adoption based on the decomposed theory of planned behavior. Academic Research in Business and Social Sciences, 7(3), 230–245. (In Farsi)
  30. Kilic, D.S., & Dervisoglu, S. (2013). Examination of water saving behavior within framework of theory of planned Behavior. Secondary Education, 1(3). 8-13.
  31. Kopiyawattage, k.p.p., Warner, l., & Grady, R.T. (2019). Understanding Urban Food Producers’ Intention to Continue Farming in Urban Settings. Urban Agriculture and Regional Food Systems, 4 (1), 1-11.
  32. Leejoeiwara, B. (2015). Modeling adoption intention of online education in Thailand using DTPB with self- directed learning. Assumption University. Retrieved from: http://repository.au.edu/handle/6623004553 /3026.
  33. Lynne, G.D., Casey, C.F., Hodges, A., & Rahmani, M. (1995). Conservation technology adoption decisions and the theory of planned behavior. Economic Psychology, 16(4), 581-598.
  34. Mahboubi, M-R., Esmailie aval, M. & Yaghoubi, J. (2011). Impeding and facilitating factors influencing on using new irrigation methods by farmers: Case of West Boshroyeh Township in Southern Khorasan. Water and Irrigation Management, 1(1), 87-98. (In Farsi)
  35. Mastrangelo, M.E., Gavin, M., Laterra, P., Linklater, W., & Milfont, T. (2014). Psycho-Social Factors Influencing Forest Conservation Intentions on the Agricultural Frontier. Conservation Letters, 7(2), 103–110
  36. Mohammadi, A.A. & Alipour, H. (2018). Factors Affecting Adoption of New Irrigation Systems: Viewpoints of Experts of Departments of Agriculture Jihad in Tehran and Alborz Provinces. Water Research in Agriculture, 31 (3), 455-468. (In Farsi)
  37. Mohammadi, S-Z., Mohammadzade, S. & Yazdanpanah, M. (2016). Investigating the factors affecting the intention and behavior of water protection by gardeners in Dashtestan city; A test of the theory of planned behavior. Agricultural Extension and Education Research, 8 (4), 75-89. (In Farsi)
  38. Mohseni, A., Mousavi, S. H. & Jamali M. (2013). The role of entrepreneurship training on students’ entrepreneurial attitude and general self-efficiency beliefs. Research and Planning in Higher Education, 19 (3), 63-80. (In Farsi)
  39. Mollaei, M-S., Mahdavi, A. & Vatankhah, A. (2016). Hydraulic Evaluation of Low Pressure Drip Irrigation Systems Using Mathematical Modelling and Experimental Data. Water Research in Agriculture, 29 (1), 87-99. (In Farsi)
  40. Moons, I. & De Pelsmacker, P. (2015). An Extended Decomposed Theory of Planned Behavior to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison. Sustainability, 7, 6212-6245.
  41. Movahedi, R., Izadi, N. & Vahdatadab, R. (2018). Investigating Factors Affecting Farmers’Adoption of Pressurized Irrigation Tchnology in Asadabad County, Hamedan Province. Water Research in Agriculture, 31 (2), 287-300. (In Farsi)
  42. Nazari, A. & Manafiazar, R. (2014). Constructive Analysis about the Factors and Barriers in Rejection of New Irrigation Methods by Farmers (Case Study: Miandoab County). Human Geography Research, 46 (3), 615-634. (In Farsi)
  43. Nejadrezaei, N., Allahyari, M.S., Sadeghzadeh, M., Michailidis, A. & El Bilali, H. (2018). Factors affecting adoption of pressurized irrigation technology among olive farmers in Northern Iran. Applied Water Science, 8 (6), 190-202.
  44. Nouri, S. H. & Alavion, S. J. (2016). Analyzing effective factors on villagers’ behavior to apply educational services in Guilan Province. Journal of Research & Rural Planning, 4(4), 163-176. (In Farsi)
  45. Osama, A. M., Ahmed, A. & Mohammed, S.H. (2015). Performance Evaluation of Gated Pipes Technique for Improving Surface Irrigation Efficiency in Maize Hybrids. Agricultural Sciences, 6, 550-570.
  46. Pereira, S., Calejo, M.J., Lamaddalena, N., Douteb, A. & Bounoua, R. (2003). Design and performance analysis of low-pressure irrigation distribution systems. Irrigation and Drainage Systems, 17, 305-324.
  47. Rahimi Faizabadi, F., Yazdanpanah, M., Forouzani, M., Mohammad Zadeh, S. & Burton, R. (2017). Explanation of Farmers' Water Conservation Behaviors Using Extended Planned Behavior Theory: The Case of Farmers in Aleshtar County. Agricultural Extension and Education, 12(2), 1-17. (In Farsi)
  48. Rachel Koh, Y.T. (2020). Attitude, behaviour and choice: the role of psychosocial drivers in water demand management in Singapore. International Journal of Water Resources Development, 36(1), 69-87.
  49. Sabzchi, H. (2018). Investigation and analysis of supply and optimal use of water resources in East Azerbaijan province. Economic Efficiency, 35, 42-56. (In Farsi)
  50. Sadeghi, A., Farhadian, H., & Bijani, B. (2020). The mediating role of farmers' time perspective in water resources exploitation behaviour in the eastern area of Lake Urmia, Iran: An environmental psychological analysis. . Water and Environment, 34(s1), 106-120. (In Farsi)
  51. Sandoghi, A. & Raheli, H. (2017). Extending the model of planned behavior to predict the intention of producing organic products among Isfahan cucumber greenhouse owners by Moral norm variable. Iranian Journal of Agricultural Economics and Development Research, 47-2(4), 961-974. (In Farsi)
  52. Sarlak, M-A., GHolpaygani, Z, & Yamani, M. (2015). Investigating the effective factors on the acceptance of e-government by those who refer to the judiciary of Tehran province based on the DTPB model. Management and Development Process, 27(1), 27-42. (In Farsi)
  53. Shadkam, S., Rasouliazar, S., & Rashidpour, L. (2017). Factors affecting the attitude of farmers towards acceptance of pressurized irrigation systems (Case study: West Azerbaijan Province). Research in Ecology, 5(2), 1086-1094.
  54. Shi, D., Lee, T., & Maydeu-Olivares, T. (2019). Understanding the Model Size Effect on SEM Fit Indices. Educational and Psychological Measurement, 79(2), 310–334.
  55. Shojaei, M-M., Bijani, M., & Abbasi, E. (2020). Farmers' resilience behaviour in the face of water scarcity in the eastern part of Lake Urmia, Iran: an environmental psychological analysis. Water and Environment Journal, 34(4), 611-622.
  56. Sookhtanlou, M. (2018). Inhibiting factors on adoption of pressurized irrigation methods according to drought zoning in Northwestern Iran (Ardabil province). Desert, 23(1), 45-55.
  57. Sun, H., Wang, S., & Hao, X. (2019). An Improved Analytic Hierarchy Process Method for the evaluation of agricultural water management in irrigation districts of north China. Agricultural Water Management, 179, 324–337.
  58. Taghvaei, M., Beshagh, M. & Salarvand, E. (2010). An analysis of the effective factors in the lack of use of pressure irrigation technologies in rurals of Iran. Geographical Studies in Arid Zones, 1 (2), 11-23. (In Farsi)
  59. Tao, C., & Fan, C.C. (2017). A Modified Decomposed Theory of Planned Behavior Model to Analyze User Intention towards Distance-Based Electronic Toll Collection Services. Promet – Traffic and Transportation, 29 (1), 85-97.
  60. Taylor, S., & Todd, P.A. (1995). Understanding information technology usage, a test of competing modeles. Information Systems Research, 6 (2), 144-176.
  61. Thompson, E.J., Merkley, G.P., Keller, A.A. & Barfuss, S.L. (2010). Experimental determination of the hydraulic properties of low-pressure, lay-flat drip irrigation systems. Irrigation and Drainage Engineering. 137 (1), 37-48.
  62. Tognetti, R., Palladino, M., Delfine, S. & Alvino, A. (2003). The response of sugar beet to drip and low-pressure sprinkler irrigation in southern Italy. Agricultural Water Management. 60 (2), 135-155.
  63. Valizadeh, N., & Karimi Goghari, H. (2018). Psychological and social analysis of water resources protection: a solution to reduce vulnerability to water shortage. The Second National Conference on Meteorology of Iran, Mashhad. (In Farsi)
  64. Verma, P., & Sinha, N. (2018). Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service. Technological Forecasting and Social Change, 126, 207-216.
  65. Wang, J. Huang, J. Rozelle, S. Huang, Q., & Zhang, L. (2009). Understanding the Water Crisis in Northern China: What the Government and Farmers are doing? Water Resources Development, 25(1), 141-158.
  66. Woltering, L., Ibrahim, A., Pasternak, D. & Ndjeunga, J. (2011). The economics of low pressure drip irrigation and hand watering for vegetable production in the Sahel. Agricultural Water Management, 99 (1), 67-73.
  67. Yadav, R., & Pathak, G.S. (2016). Young Consumers' Intention towards Buying Green Products in a Developing Nation: Extending the Theory of Planned Behavior. Cleaner Production, 135, 732-739.
  68. Yadavar, H., Nami, M. & Zarifiyan, SH. (2018). Applying the Analysis of Planned Behavior Theory on Adoption of Organic Farming. Agricultural Science and Sustainable Production, 28 (1), 169-183. (In Farsi)
  69. Yazdanpanah, M., Hayati, D. & Zamani, GH. (2011). Analysis of Behavior and Behavioral Tendencies of Employees of Agricultural Organizations towards Water Conservation: Application of Evolved Theory of Planned Behavior. Environmental Sciences, 9 (1), 1-22. (In Farsi)
  70. Yazdanpanah, M. & Hasheminezhad, A. (2016). Determine Factors That Influenced Students’ Intention Regarding Consumption of Organic Product: Comparison Theory of Planned Behaviour and Health Belief Model.Iranian Journal of Agricultural Economics and Development Research, 2-46, 4, 817-831. (In Farsi)
  71. Yazdanpanah, M., Hyati, D., Hochrainer-stigler, S., & Zmani, GH. (2014). Understanding farmers' intention and behavior regarding water conservation in the Middle-East and North Africa: a case study in Iran. Environmental Management, 135, 63-72.
  72. Zeweld, W., Huylenbroeck, G.V., Tesfay, G. & Speelman, S. (2017). Smallholder farmers' behavioral intentions towards sustainable agricultural practices. Environmental Management, 187, 71-81.

Ziolkowska, J., & Peterson, J. (2016). Competition for Water Resources: Experiences and Management Approaches in the US and Europe. EBook. Elsevier