ADOPTION AND INTENSITY OF MODERN BEE HIVE IN WAG HIMRA AND NORTH WOLLO ZONES, AMHARA REGION, ETHIOPIA

Asmiro Abeje, Kindye Ayen, Mulugeta Awoke, Lijalem Abebaw

Abstract


Wag Himra zone is one of the Amhara Regional State which has a potential honey production and it is a quite suitable for apiculture activities. The objectives of the study were (1) quantifying the determinant factors of the probability of adoption, (2) evaluating the intensity use of modern beehive and (3) identifying the major constraints of modern beehive production in wag Himra and north Wollo zones, Amhara Region, Ethiopia. Multi-stage sampling methods were employed. 268 rural beekeepers were interviewed for this study with proportional random sampling method from adopters and non-adopters. Among the 268 beekeepers, 97 (36.19%) and 171 (63.81%) were non-adopters and adopters respectively. Descriptive analysis and econometric (double-hurdle model) were applied using SPSS-22 and STATA-12, respectively. The first hurdle result revealed that age, the number of livestock owned, educational level, the number of local hives beekeepers possessed, training provided, the the total annual income of beekeepers, credit service, distance to Woreda agricultural office, extension service and participation in off-farm activities are the main factors that affect the probability of adoption decision. Moreover, the second hurdle revealed that age, the number of local hives beekeepers possessed, training access, credit service, and distance to Woreda agricultural office are the main factors that affect the intensity use of modern beehive. Additionally, Pests and predators, drought and lack of bee equipment and accessories are ranked as the first, second and third major constraints of beekeeping respectively which lead the bee colony to abscond and reduction of honey yield. According to the finding the authors safely recommended that those significant factors in adoption decision and intensity use of modern beehive should be considered by policy makers and planners of governmental and NGOs in setting their policies and strategies of honey production improvement interventions.

Keywords


Adoption; Modern beehive; double-hurdle Model; Intensity

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References


Jenberie, A. Tsega, A. and Bihonegn, A. (2016), Identification and characterization of honeybee flora in Wag-Lasta area, Amhara Region, Ethiopia.

Belets, G. and Berhanu, G. (2014), Adoption of improved box hive technology: analysis of smallholder farmers in Northern Ethiopia. International journal of Agricultural Economics and Extension, vol. 2 (2), pp. 077–082.

Berhanu, G. and Swinton, S. (2003), Investment in soil conservation in Northern Ethiopia: the role of land tenure security and public program. Agricultural Economics, 29, pp. 69–84. doi: 10.1016/SO169-5150(03)00022-7.

Cragg, J. (1971), Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica, 39, pp. 829–844. doi: 10.2307/1909582.

Cramb, R. A. (2003), Processes Affecting the Successful Adoption of New Technologies by Smallholders. Ed. In Hacker, B., Working with Farmers: The Key to the Adoption of Forage Technologies, ACIAR Proceedings. No. 95, ACIAR (Australian Centre for International Agricultural Research), Canberra, pp. 11–22.

Croppenstedt, A. and Demeke, M. (1996), Determinants of Adoption and Levels of Demand for Fertilizer for Cereal Growing Farmers in Ethiopia. Working Paper No. 96, Center for the Study of African Economies, Oxford University of Oxford.

Ehui, S. K., Lynam, J. and Okike, I. eds. (2004), Adapting Social Science to the Changing Focus of International Agricultural Research. Proceedings of a Rockefeller Foundation. ILCA Social Science Research Fellows Workshop Held at ILCA, Addis Ababa, 14–18 November 1994, pp. 189–203.

Feder, L., Just, R. E. and Zilberman, O. (1985), Adoption of Agricultural Innovations in Developing Countries: A Survey. Economic Development and Cultural Change, 32, pp. 255–298. doi: 10.1086/451461.

Gebiso, T. (2015), Adoption of a modern bee hive in Arsi Zone of Oromia Region: Determinants and Financial Benefits. Journal of Agricultural Sciences, 6, pp. 382–396. doi: 10.4236/as.2015.63038.

Green, W. (1993), Econometric Analysis, 2nd ed, Macmillan, New York, USA.

Green, W. (2000), Econometric Analysis, 4th ed, Macmillan, New York, USA.

Holeta Bee Research Center (2004), Beekeeping Training Manual, Holeta, Ethiopia.

Kassaye, A. (1990), The Honeybees (Apis Mellifera) of Ethiopia. A Morphometric Study. M. Sc. thesis, Agricultural University of Norway, As, Norway.

Kothari, C. R. (2004), Research Methodology: Methods and Techniques, 2nd Revised Ed., New Age International Private Ltd., New Delhi, India.

Gorfu, M. (2005), Adoption and profitability of Kenyan top bar hive beekeeping technology: A study in Ambasel woreda of Ethiopia. Unpublished MSc thesis, Alemaya University, Alemaya, Ethiopia.

Naseem, A. C. (1995), Macro Trends and Determinants of Fertilizer Use in Sub-Saharan Africa. MSU International Dev. Paper US.

Ray, G. L. (2001), Extension Communication and Management, Naya Prokash, Calcutta, pp. 145–162.

Rogers, E. M. and Shoemaker, F. F. (1971), Communication of Innovation: A Cross-Cultural Approach, 2nd ed, the Free Press, New York, USA.

Salim, M. (1986), Rural Innovation in Agriculture, Chugh Publications, New Delhi, India.

SPSS (2013), IBM SPSS Statistics 22 Core System User's Guide from [Online], available at: http://www.sussex.ac.uk/its/pdfs/SPSS_Brief_Guide_22.pdf.

Stata (2011), Stata User’s Guide Released V-12 Edition. Stata Press Publication StataCorp LP College Station, Texas, USA.

Teklewold, H., Dadi, L., Yami, A. and Dana, N. (2006), Determinants of adoption of poultry technology: a double-hurdle approach. Livestock Research for Rural Development, vol. 18(3). Retrieved November 17, 2016 [Online], available at: http://www.lrrd.org/lrrd18/3/tekl18040.htm.

Workneh, A., Puskur, R. and Karippai, R. S. (2008), Adopting improved box hive in Atsbi Wemberta district of Eastern Zone, Tigray Region: Determinants and financial benefits. IPMS (Improving Productivity and Market Success) of Ethiopian Farmers Project Working Paper 10. ILRI (International Livestock Research Institute), Nairobi, Kenya, 30 p.


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