Impediments to Adoption of Agricultural Technologies in Regions with Water Shortage from the Viewpoint of Farmers: The Case of Drip Irrigation in SALMAS

Document Type : Original Article

Authors

1 Sharif University of Technology

2 Graduate School of Management and Economics, Sharif University of Technology

3 Institute for Research in Science, Technology and Industry Policies, Sharif University of Technology

Abstract

Regarding water crises in the world it is necessary to change and reform agricultural methods in order to increase efficacy.  Although it seems that farmers in some regions do not accept new technologies due to some problems. To address these problems, drip irrigation technology was investigated in Salmas near to zone Lake Urumia. Despite the government supports, the adoption of drip irrigation technologies in the SALMAS region is even lower than its neighbouring regions with less shortage of water crises. Through a qualitative, exploratory research based on the literature of technology adoption, this paper tries to uncover the reasons behind this lower than expected level of adoption among farmers. The findings suggest that farmers in the southern parts of the region suffer from insecurities that are caused by ethnic diversity of the local communities. The farmers in the western part, however, prefer having a pretty field over consuming less water. The implications for theories and practice are outlined.

Keywords

References

Abdulai, A., Owusu, V. & Bakang, J.-E. A. 2011. Adoption of Safer Irrigation Technologies and Cropping Patterns: Evidence from Southern Ghana. Ecological Economics, Volume (70), pp. 1415-1423.
Bagheri, A. & Ghorbani, A. 2011. Adoption and non-adoption of sprinkler irrigation technology in Ardabil Province of Iran. African Journal of Agricultural Research, Volume (6), pp. 1085-1089.
Bagozzi, R. P. 2007. The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, Volume (8).
Barse, K., Gohad, V. & Lunge, M. 2010. Adoption of Drip Irrigation System by Orange Growers in Amravati Taluka. Agriculture Update, Volume (5), pp. 346-348.
Carey, J. M. & Zilberman, D. 2002. A Model of Investment under Uncertainty: Modern Irrigation Technology and Emerging Markets in Water. American Journal of Agricultural Economics, Volume (84), pp. 171-183.
Caswell, M. F. & Zilberman, D. 1986. The Effects of Well Depth and Land Quality on the Choice of Irrigation Technology. American Journal of Agricultural Economics, Volume (68), pp. 798-811.
Chris perry, P. S., FAWZI KARAJEH 2017. Does Improved Irrigation Technology Save Water? A Review of the Evidence. Food and Agriculture Organization of the United Nations CAIRZO.
Elahi, Sh., Gharibi, J., Majid Pour, M. & Anvari Rostami, AS. A. 2015. Diffusion of Renewable Energy Technologies: The Grounded Theory Approach, Innovation Management, 4(2), pp. 33-56.
David, P. A. 1969. A Contribution to the Theory of Diffusion, Research Center in Economic Growth, Stanford University.
Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Mis Quarterly, pp. 319-340.
Dixit, A. K. & Pindyck, R. S. 1994. Investment under uncertainty, Princeton University Press.
Feder, G., Just, R. E. & Zilberman, D. 1985. Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, Volume (33), pp. 255-298.
Feder, G. & O’mara, G. T. 1981. Farm size and the diffusion of green revolution technology. Economic Development and Cultural Change, Volume (30), pp. 59-76.
Hoseinpour, M., Fakheri fard, A. & Naghili, R. 2010. Death of Urmia Lake, a Silent Disaster Investigating Causes, Results and Solutions of Urmia Lake Drying.  1st International Applied Geological Congress, Department of Geology, Islamic Azad University, Islamic Azad University-Mashad Branch, Iran.
Hultman, J. 2004, Technology adoption and embeddedness. Propositions on a four facet framework.  20th Annual IMP Conference.
ISIK, M. 2001, Technology Adoption Decisions Under Uncertainty: Impacts of Alternative Return Assumptions on Timing of Adoption.  AAEA Annual Meeting, Chicago IL, pp. 5-8.
Jafari shalamzari, M., Sadoddin, A., Sheikh, V. & Abedi sarvestani, A. 2016. Analysis of Adaptation Determinants of Domestic Rainwater Harvesting Systems (DRWHs) in Golestan Province, Iran. Environmental Resources Research, Volume (4), pp. 27-43.
Just, R. E. & Zilberman, D. 1988. The effects of agricultural development policies on income distribution and technological change in agriculture. Journal of Development Economics, Volume (28), pp. 193-216.
Kalantari, K., Rahimian, M., Mohammadi, Y., Asadi, A. & Ardali, A. A. 2010. Investigation of Effective Factors on Admission and Refusing of Sprinkler Irrigation System of Ardal Township, Iran. Journal of Food, Agriculture & Environment, Volume (8), pp. 1218-1224.
Kiruthika, N. 2014. Determinants of Adoption of drip Irrigation in Sugarcane Cultivation in Tamil Nadu. Analysis, Volume (143).
Kumar, D. S. 2012. Adoption of drip irrigation system in India: Some Experience and Evidence. Bangladesh Development Studies, Volume (35), pp. 61-78.
Lapar, M. L. A. & Ehui, S. K. 2004. Factors Affecting Adoption of Dual-Purpose Forages in the Philippine Uplands. Agricultural Systems, Volume (81), pp. 95-114.
Mcdonald, R. & Siegel, D. 1986. The value of waiting to invest. The Quarterly Journal of Economics, Volume (101), pp. 707-727.
Mohamend, Y. A. 1982. Diffusion of agricultural innovations among traditional farmers of Western Sudan—The case of East Kordofan and El Fasher districts. GeoJournal, Volume (6), pp. 31-40.
Mousavi Haghighi, M. & Tajik, M. 2014. New Product Diffusion Model: A System Dynamics Approach. Innovation Management, 3(3), pp. 77-99.
Namara, R. E., Nagar, R. & Upadhyay, B. 2007. Economics, Adoption Determinants, And Impacts Of Micro-Irrigation Technologies: Empirical Results from India. Irrigation Science, Volume (25), pp. 283-297.
Ogada, M. J., Mwabu, G. & Muchai, D. 2014. Farm Technology Adoption in Kenya: a Simultaneous Estimation of Inorganic Fertilizer and Improved Maize Variety Adoption Decisions. Agricultural and Food Economics, Volume (2), pp. 1-18.
Ranjan, R. & athalye, S. 2009. Drought resilience in agriculture: The role of Technological Options, Land Use Dynamics, and Risk Perception. Natural Resource Modeling, Volume (22), pp. 437-462.
Rogers everett, M. 1995. Diffusion of innovations. New York, 12.
Rossi, F. R., Souza filho, H. M. D. & CARRER, M. J. Irrigation adoption by orange producers of the state of São Paulo-Brazil: determinants and barriers.  2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas, 2016. Southern Agricultural Economics Association.
Shahzadi, E. 2013. Investigating Factors Influencing Adoption of Pressurized Irrigation Systems by Farmers Case Study: Garmsar County, Iran. American-Eurasian Journal of Agriculture and Environment Science, Volume (13), pp. 32-37.
Singh, P., Patel, S., Trivedi, M. & PATEL, G. 2015. Assessing the Relative Impacts of the Factors Affecting MIS Adoption Process. International Journal of Sustainable Development & World Ecology, Volume (22), pp. 213-218.
Sunding, D. & Zilberman, D. 2001. The Agricultural Innovation Process: Research and Technology Adoption in a Changing Agricultural Sector. Handbook of Agricultural Economics, Volume (1), pp. 207-261.
Urmia Lake Reconstruction Website, 1395, Land ownership status in the Urmia Lake Area, [available online] at ulrp.sharif.ir/fa.
Vaezi, L., Daran, H.H. 2012. Evaluation of the Effective Parameters on Pressurized Irrigation System by Iranian Farmers. Middle-East Journal of Scientific Research, Volume (11), pp. 39-45.
Van raaij, E. M. & Schepers, J. J. 2008. The Acceptance and Use of a Virtual Learning Environment in China. Computers & Education, Volume (50), pp. 838-852.
Venkatesh, V. 2000. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, Volume (11), pp. 342-365.
Venkatesh, V. & Bala, H. 2008. Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, Volume (39), pp.  273-315.
Venkatesh, V. & Davis, F. D. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, Volume (46), pp. 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. 2003. User Acceptance of Information Technology: Toward a Unified View. MIS quarterly, pp. 425-478.
Wilson, P. N. 2001. First-order economizing: Irrigation Technology Adoption and the Farm. Agrekon, Volume (40), pp. 231-248.
Wubeneh, N. G. & SANDERS, J. 2006. Farm-level Adoption of Sorghum Technologies in Tigray, Ethiopia. Agricultural Systems, Volume (91), pp. 122-134.
Yearbook, F. S. 2014. Europe and Central Asia Food and Agriculture. Budapest: FAO.
Yin, R. K. 2013. Case study research: Design and Methods, Sage Publications.
Innovation Management Journal
Volume 6, Issue 3 - Serial Number 21
December 2017
Pages 141-168

Files

History

  • Receive Date: 13 September 2017
  • Revise Date: 05 May 2018
  • Accept Date: 28 April 2018

Share

How to cite

Statistics