African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6854

Full Length Research Paper

Comparing productivity of rice under system of rice intensification and conventional flooding: A switching regression approach

Francis K. Kaloi
  • Francis K. Kaloi
  • Department of Agricultural Economics and Extension, University of Embu, P. O. Box 6-60100, Embu. Kenya.
  • Google Scholar
Hezron N. Isaboke
  • Hezron N. Isaboke
  • Department of Agricultural Economics and Extension, University of Embu, P. O. Box 6-60100, Embu. Kenya.
  • Google Scholar
Charles N. Onyari
  • Charles N. Onyari
  • Department of Land and Water Management, University of Embu, P. O. Box 6-60100, Embu, Kenya.
  • Google Scholar
Lucy K. Njeru
  • Lucy K. Njeru
  • Department of Agricultural Economics, Faculty of Agriculture, University of Nairobi, P.O Box 29053-00625, Nairobi, Kenya.
  • Google Scholar


  •  Received: 21 April 2020
  •  Accepted: 17 September 2020
  •  Published: 31 October 2020

References

Abdulai A, Huffman WE (2014). The Adoption and Impact of Soil and Water Conservation Technology: The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application (November 2016).

 

Adesina A, Zinnah M (1993). Technology Characteristics,farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone. Journal of Agricultural Economics 9(4):297-311.
Crossref

 

Amare M, Asfaw S, Shiferaw B (2012). Welfare impacts of maize - pigeonpea intensification in Tanzania 43:27-43.
Crossref

 

Amos (2014). Exploring for Improving Rice Production to Reduce Hunger Poverity in Kenya. World Environment 4(4):172-179.

 

Atera EA, Onyancha FN, Majiwa EBO (2018). Production and marketing of rice in Kenya : Challenges and opportunities. Journal of Development and Agricultural Economics 10:64-70.
Crossref

 

Bwala MA, John AU (2018). Profitability analysis of paddy production : A case of agricultural zone 1, Niger State Nigeria 16(1):88-92.
Crossref

 

Canon S, Halid A, Daud F (2018). The influence of labor and land use management on rice farming production in Pohuwato District. Jurnal Perspektif Pembiayaan Dan Pembangunan Daerah 5(4):337-347.
Crossref

 

Denkyirah E (2015). Profitability of Rice Production: A Comparative Analysis of System of Rice Intensification and Conventional Method in the Kassena- Nankana East District of Ghana. International Association of Agricultural Economists (IAAE).

 

GoK (2008). Ministry of Agriculture National Rice Development Strategy (2008-2018). Republic of Kenya. Nairobi. 

View

 

Kamoshita AY, Nguyen B, Dinh, VTH. (2018). Preliminary Assessment of Rice Production in Coastal Part of Red River Delta Surrounding Xuan Thuy National Park, Vietnam, for Improving Resilience. In Resilient Asia (pp. 7-38). Springer, Tokyo.
Crossref

 

Karki S (2010). System of rice intensification : an analysis of adoption and potential environmental benefits. Norwegian University of Life Sciences.

 

Karubanga AJG, Okry F, Kiwewesi S, Lwanga J, Mugerwa K (2019). Factors Effecting Change in Rice Production Practices and Technologies among Smallholder Farmers in Kamwenge. Indian Journal of Ecology 46:316-324.

 

Kassam A, Stoop W, Uphoff N (2011). Review of SRI modifications in rice crop and water management and research issues for making further improvements in agricultural and water productivity. Paddy and Water Environment 9(1):163-180.
Crossref

 

Katambara Z, Kahimba FC, MahooHF, Mbungu WB, Mhenga F, Reuben P,Nyarubamba A (2013). Adopting the system of rice intensification (SRI) in Tanzania: A review. Journal of Agricultural Sciences 4(8):369-375.
Crossref

 

Kinuthia BK (2015). The Impact of Agriculture Technology Adoption on Farmers' Welfare in Uganda and Tanzania, pp. 1-22.

 

Kirby M, Ahmad M, ud D, Mainuddin M, Khaliq T, Cheema MJM (2017). Agricultural production, water use and food availability in Pakistan: Historical trends, and projections to 2050. Agricultural Water Management 179:34-46.
Crossref

 

Lee YH, Kobayashi K (2017). Rice Yield Increase by the System of Rice Intensification is Dependent on Supplementary Water Availability in Rainfed Lowland Fields of Southern Cambodia. Tropical Agriculture and Development 61(1):48-55.

 

Lokshin M, Sajaia Z (2004). Maximum likelihood estimation of endogenous switching regression models. The Stata Journal 4(3):282-289.
Crossref

 

Myint PL, Napasintuwong O (2016). Research Article Economic Analysis of Paw San Rice Adoption in Myanmar. Asian Journal of Agricultural Research 10(5):175-184.
Crossref

 

Namara RE, Weligamage P, Barker R (2003). Prospects for Adopting System of Rice Intensification in Sri Lanka A Socioeconomic Assessment. Research Report - International Water Management Institute pp. 75-46.

 

Ndiiri JA, Mati BM, Home PG, Odongo B, Uphoff N (2013). Adoption, constraints and economic returns of paddy rice under the system of rice intensification in Mwea, Kenya. Agricultural Water Management 129:44-55.
Crossref

 

Ndirangu BW (2015). Influence of rice intensification system on rice production among small scale farmers. Case of Tebere in Mwea, Kirinyaga County in Kenya. University of Nairobi. Intensification system on rice production among small scale farmers.

 

Noltze M, Schwarze S, Qaim M (2012). Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste. Agricultural Systems 108:64-73.
Crossref

 

Omondi SO, Shikuku KM (2013). An Analysis of Technical Efficiency of Rice Farmers in Ahero Irrigation Scheme, Kenya 4(10):2222-1700.

 

Omwenga K, Mati B, Home P (2014). Determination of the Effect of the System of Rice Intensification (SRI) on Rice Yields and Water Saving in Mwea Irrigation Scheme, Kenya. Journal of Water Resource and Protection pp. 895-901.
Crossref

 

Paredes P, Rodrigues GC, Cameira M, Torres MO, Pereira LS (2017). Assessing yield, water productivity and farm economic returns of malt barley as influenced by the sowing dates and supplemental irrigation. Agricultural Water Management 179:132-143.
Crossref

 

Paudel GP, Bahadur D, Bahadur D, Justice SE, Mcdonald AJ (2019). Land Use Policy Scale-appropriate mechanization impacts on productivity among smallholders : Evidence from rice systems in the mid-hills of Nepal. Land Use Policy 85:104-113.
Crossref

 

Pede VO, Areal FJ, Singbo A, Mckinley J, Kajisa K (2018). Spatial dependency and technical efficiency : an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines. Agricultural Economics 49(3):301-312.
Crossref

 

Rahman S (2017). Climate, agroecology and socio-economic determinants of food availability from agriculture in Bangladesh (1948-2008). Sustainability (Switzerland) 9(3).
Crossref

 

Stoop W (2003). The System of Rice Intensification (SRI) from Madagascar Myth or Missed Opportunity? Hauts Plateaux of Madagascar.

 

Thakur AK, Mohanty RK, Singh R,Patil DU (2015). Enhancing water and cropping productivity through Integrated System of Rice Intensification (ISRI) with aquaculture and horticulture under rainfed conditions. Agricultural Water Management 161:65-76.
Crossref

 

Thura S (2010). Evaluation of weed management practices in the System of Rice Intensification (SRI) October 2010. Yezin Agricultural University.

 

Uphoff N, Thiyagarajan TM (2005). Prospects for rice sector improvement with the system of rice intensification, considering evidence from India. Paper Presented to the 16th International Rice Conference Held in Bali, Indonesia, 10-14 September 2005., 1-17.

 

Varma P (2017). Adoption of System of Rice Intensification and its impact on rice yields and household income : An analysis for India Adoption of System of Rice Intensification and its impact on rice yields and household income: An analysis for India.
Crossref