Influencing Factors of the Adoption of Agricultural Irrigation Technologies and the Economic Returns: A Case Study in Chaiyaphum Province, Thailand

This empirical research investigates the factors influencing the adoption of three irrigation technologies using a probit statistical model: water wheel (WW), water pump (WP), and weir (WR) irrigation technologies as well as their economic returns per unit of rice cultivated area. The influencing factors were categorized into demographic, socioeconomic, topographical, institutional, and attitudinal factor groups by 207 rice-growers in the Chaiyaphum province in northeastern Thailand. The results revealed that the land holding size, farm income, and water use association (WUA) membership factors were highly positively associated with the WW adoption. Meanwhile, age, farm income, skills training, and WUA membership were negatively correlated with the WP adoption. Nevertheless, proximity to a water source and upstream farmland location were positively correlated with the WP adoption. The WR adoption was positively associated with age but negatively correlated with the land holding size, upstream farmland location, and group participation factors. The cost–benefit analysis indicated that the WW irrigation scheme generated the highest economic return with the benefit-to-cost ratio schemes. The findings suggest that the WW irrigation technology would be deployed in the water management of other agricultural areas in the region to overcome the unfavorable geography and alleviate the local farmers’ disadvantageous economic conditions.

[1]  J. Maranville,et al.  Deficit irrigation and nitrogen effects on maize in a Sahelian environment: I. Grain yield and yield components , 2000 .

[2]  T. Facon,et al.  Thailand's water vision: a case study. , 2001 .

[3]  A. Patanothai,et al.  Improving Management of Natural Resources for Sustainable Rainfed Agriculture in Northeastern Thailand , 2001 .

[4]  Bas A. M. Bouman,et al.  ADOPTION OF WATER SAVING TECHNOLOGIES IN RICE PRODUCTION IN THE PHILIPPINES 1 , 2003 .

[5]  A. Sidibé Farm-level adoption of soil and water conservation techniques in northern Burkina Faso , 2005 .

[6]  R. Namara,et al.  Adoption and impacts of microirrigation technologies: empirical results from selected localities of Maharashtra and Gujarat states of India , 2005 .

[7]  David R. Lee Agricultural Sustainability and Technology Adoption: Issues and Policies for Developing Countries , 2005 .

[8]  R. Namara,et al.  Review of agricultural water management technologies and practices , 2006 .

[9]  M. Menker,et al.  Best practices and technologies for small scale agricultural water management in Ethiopia , 2006 .

[10]  H. Cao,et al.  Econometric analysis of the determinants of adoption of rainwater harvesting and supplementary irrigation technology (RHSIT) in the semiarid Loess Plateau of China , 2007 .

[11]  Integrated approach for water resources and irrigation management in Turkey , 2007 .

[12]  B. Ekasingh,et al.  Linkages between Access to Irrigation Water and Livelihood Strategies Using Sustainable Livelihood Framework , 2008 .

[13]  Thomas Herzfeld,et al.  Factors Affecting Chinese Farmers' Decisions to Adopt a Water-Saving Technology , 2008 .

[14]  N. Grigg Integrated water resources management: balancing views and improving practice , 2008 .

[15]  G. Zamani,et al.  Farmer participation in irrigation management: The case of Doroodzan Dam Irrigation Network, Iran , 2009 .

[16]  A. Asadi,et al.  Analysis of effective components on agricultural water management in Zarindasht county from farmers viewpoint. , 2009 .

[17]  S. Panahi,et al.  The Role of Optimizing Agricultural Water Resource Management to livelihood Poverty abolition in Rural Iran , 2009 .

[18]  G. Shivakoti,et al.  Context and Institutions in Irrigation Management: Applicability of Design Principles in Nepal and Thailand 1 , 2009 .

[19]  Victor Owusu,et al.  Adoption of safer irrigation technologies and cropping patterns: Evidence from Southern Ghana , 2011 .

[20]  C. Yirga,et al.  Effect Of Small-Scale Irrigation On The Income Of Rural Farm Households: The Case Of Laelay Maichew District, Central Tigray, Ethiopia , 2011 .

[21]  M. Yokohari,et al.  Neglected Canals: Deterioration of Indigenous Irrigation System by Urbanization in the West Peri-Urban Area of Bangkok Metropolitan Region , 2012 .

[22]  M. Muller,et al.  Integrated Water Resources Management in Practice: Better Water Management for Development , 2012 .

[23]  A. Diagne,et al.  Determinants of diffusion and adoption of improved technology for rice parboiling in Benin , 2012 .

[24]  Karim Naderi Mahdei,et al.  Identifying factors affecting optimal management of agricultural water , 2013 .

[25]  Adoption and impacts of an irrigation technology: Evidence from household level data in Tigray, Northern Ethiopia , 2013 .

[26]  E. Mungatana,et al.  Determinants of farmers' choice of innovative risk-reduction interventions to wastewater-irrigated agriculture , 2013 .

[27]  D. K. Willy,et al.  Social influence and collective action effects on farm level soil conservation effort in rural Kenya , 2013 .

[28]  R. Namara,et al.  Economic analysis of factors influencing adoption of motor pumps in Ethiopia , 2014 .

[29]  M. Masuku,et al.  Factors Influencing Farmers Participation in Smallholder Irrigation Schemes: The Case of Ntfonjeni Rural Development Area , 2014 .

[30]  M. Allahyari,et al.  Farmers’ opinions regarding effective factors on optimum agricultural water management , 2014 .

[31]  Pramuk Srichaiwong,et al.  Guidelines for Natural Food Conservation for the Community around the Upstream Forest of the Chi River Basin , 2014 .

[32]  Determinants of Awareness and Adoption of Improved Rice Varieties in North Central, Nigeria , 2015 .

[33]  J. Amikuzuno,et al.  Factors Influencing Pesticide Use in Smallholder Rice Production in Northern Ghana , 2015 .

[34]  J. Atlhopheng,et al.  A comparative review of water management sustainability challenges in smallholder irrigation schemes in Africa and Asia , 2016 .

[35]  Surabhi Mittal,et al.  Socio-economic Factors Affecting Adoption of Modern Information and Communication Technology by Farmers in India: Analysis Using Multivariate Probit Model , 2016 .

[36]  Geneille E. Greaves,et al.  Identifying Irrigation Strategies for Improved Agricultural Water Productivity in Irrigated Maize Production through Crop Simulation Modelling , 2017 .

[37]  Q. Zhang,et al.  Improving Agricultural Water Use Efficiency: A Quantitative Study of Zhangye City Using the Static CGE Model with a CES Water−Land Resources Account , 2017 .