Socio-economic factors affecting agro-forestry technology adoption in Nyando, Kenya

• Autorzy: Magugu J. W. , Feng S. , Huang Q. , Ototo O. G.

Identyfikatory

DOI

10.2478/jwld-2018-0062

Warianty tytułu

PL

Czynniki społeczno-ekonomiczne wpływające na stosowanie technologii rolniczych i leśnych w Nyando w Kenii

• Języki publikacji: EN

Abstrakty

EN

Agro-forestry (AFR) technologies are perceived to improve livelihoods and natural resource sustainability of the rural households. Despite their aggressive promotion by multiple national and international agencies, the adoption of AFR technologies has been minimal in Kenya. This study conducted a survey to examine the socio-economic factors that affect the adoption process in Nyando, Kenya. Results revealed that farmers with bigger farms and higher education were more likely to adopt the new technology. Additionally, farmers were quicker to adopt technology if they had an increase in crop yields and had stayed longer in the study area. Generally, wealthier famers tended to adopt more AFR technology than those with less income. Access to information was the only factor strongly correlated with the rest of the independent variables. The results suggest that, adoption would be more enhanced with a clear focus on extension activities, income enhancing AFR practices and soil amelioration technologies. This study may be replicated in other parts of Kenya and East Africa to improve the level of AFR technology adoption for sustainable rural development.

PL

Uważa się, że technologie rolnicze i leśne (AFR) poprawiają warunki życia i odnawialność zasobów naturalnych w gospodarstwach wiejskich. Mimo intensywnej promocji tych technologii przez liczne agencje krajowe i międzynarodowe, stosowanie technologii AFR w Kenii jest minimalne. W ramach badań przeprowadzono ankietę w celu przeanalizowania czynników społecznych i ekonomicznych, które wpływają na proces wdrożenia tych technologii w Nyando w Kenii. Wyniki wykazały, że rolnicy z większych gospodarstw rolnych i o wyższym wykształceniu byli bardziej skłonni stosować nowe technologie. Ponadto rolnicy szybciej przyjmowali nowe technologie, jeśli uzyskiwali wzrost plonów i dłużej mieszkali na badanym obszarze. Bogatsi rolnicy byli skłonni wdrożyć więcej technologii AFR niż rolnicy o niższych dochodach. Dostęp do informacji był jedynym czynnikiem, który silnie korelował z resztą zmiennych niezależnych. Wyniki sugerują, że wdrożenie tych technologii byłoby powszechniejsze, gdyby większą uwagę poświęcono dodatkowym działaniom, praktykom AFR zwiększającym przychody rolników i technologiom poprawiającym jakość gleb. Takie badania można powtórzyć w innych regionach Kenii i wschodniej Afryki, aby zwiększyć poziom stosowania technologii AFR w celu zrównoważonego rozwoju obszarów wiejskich.

Słowa kluczowe

EN

adoption; agro-forestry technologies; farmers; socio-economic factors

PL

czynniki społeczno-ekonomiczne; rolnicy; technologie rolniczo-leśne

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2018
• Tom: no. 39
• Strony: 83--91
• Opis fizyczny: Bibliogr. 65 poz., rys., tab.

Twórcy

autor

Magugu J. W.

• University of Arkansas, 615 N Court St, 72701 Carlisle, USA

autor

Feng S.

• University of Arkansas, Department of Geosciences, Fayetteville, AR, USA

autor

Huang Q.

• University of Arkansas, Department of Agricultural Economics an Agribusiness, Fayetteville, AR, USA

autor

Ototo O. G.

• Louisiana State University, School of Renewable Natural Resources, Baton Rouge, LA, USA

Bibliografia

• AJAYI O.C., AKINNIFESI F.K., SILESHI G., CHAKEREDZA S. 2007. Adoption of renewable soil fertility replenishment technologies in the southern African region: Lessons learnt and the way forward. Natural Resources Forum. Vol. 31. Iss. 4 p. 306–317.
• ALEMU B. 2012. Carbon stock potentials of woodlands and land use and land cover changes in north western lowlands of Ethiopia [online]. MSc thesis. Hawassa, Ethiopia. Hawassa University. [Access 22.01.2015]. Available at: https://cgspace.cgiar.org/handle/10568/25151
• ALILA P.O., ATIENO R. 2006. Agricultural policy in Kenya: Issues and processes. In: Future Agricultures Consortium Workshop. Institute of Development Studies p. 20–22.
• ALTIERI M.A. 2004. Linking ecologists and traditional farmers in the search for sustainable agriculture. Frontiers in Ecology and the Environment. Vol. 2. Iss. 1 p. 35–42.
• BEKELE W., DRAKE L. 2003. Soil and water conservation decision behavior of subsistence farmers in the Eastern Highlands of Ethiopia: A case study of the Hunde-Lafto area. Ecological Economics. Vol. 46. Iss. 3 p. 437–451.
• BLEHER B., USTER D., BERGSDORF T. 2006. Assessment of threat status and management effectiveness in Kakamega Forest, Kenya. In: Forest diversity and management. Eds. D.L. Hawksworth, A.T. Bull. Ser. Topics in Biodiverisity and Conservation. Vol. 2. Springer p. 99–117.
• BOZ I., AKBAY C. 2005. Factors influencing the adoption of maize in Kahramanmaras province of Turkey. Agricultural Economics. Vol. 33(s3) p. 431–440.
• CHIBNIK M. 1978. The value of subsistence production. Journal of Anthropological Research. Vol. 34. Iss. 4 p. 561–576.
• CLAY D., REARDON T., KANGASNIEMI J. 1998. Sustainable intensification in the highland tropics: Rwandan farmers' investments in land conservation and soil fertility. Economic Development and Cultural Change. Vol. 46. Iss. 2 p. 351–377.
• CURRENT D., LUTZ E., SCHERR S.J. 1995. Costs, benefits, and farmer adoption of agroforestry: Project experience in Central America and the Caribbean [online]. World Bank Publications. No. 14. Washington, DC pp. 232. [Access 22.01.2015]. Available at: http://documents.worldbank.org/curated/en/970021468247833086/Costs-benefits-andfarmer-adoption-of-agroforestry-project-experience-in-Central-America-and-the-Caribbean
• DENNING G.L. 2001. Realising the potential of agroforestry: Integrating research and development to achieve greater impact. Development in Practice. Vol. 11. Iss. 4 p. 407–416.
• ERDMANN T.K. 2005. Agroforestry as a tool for restoring forest landscapes. In: Forest restoration in landscapes. Beyond planting trees. Eds. S. Mansourian, D. Vallauri. New York. Springer p. 274–284.
• FENG S., FU Q. 2013. Expansion of global drylands under a warming climate. Atmospheric Chemistry and Physics. Vol. 13 p. 10081–10094.
• FRANZEL S. 1999. Socioeconomic factors affecting the adoption potential of improved tree fallows in Africa. Agroforestry Systems. Vol. 47. Iss. 1–3 p. 305–321.
• GABRIELSSON S., BROGAARD S., JERNECK A. 2013. Living without buffers illustrating climate vulnerability in the Lake Victoria basin. Sustainability Science. Vol. 8. Iss. 2 p. 143–157.
• GHOLAMREZAI S., SEPAHVAND F. 2017. Farmers’ participation in Water User Association in western Iran. Journal of Water and Land Development. No. 35 p. 49–56. DOI 10.1515/jwld-2017-0067.
• HOSMER Jr D.W., LEMESHOW S., STURDIVANT R.X. 2013. Applied logistic regression. John Wiley & Sons. ISBN 9780470582473 pp. 510.
• IIYAMA M., KARIUKI P., KRISTJANSON P., KAITIBIE S., MAITIMA J. 2008. Livelihood diversification strategies, incomes and soil management strategies: A case study from Kerio Valley, Kenya. Journal of International Development. Vol. 20. Iss. 3 p. 380–397.
• JACKSON N., WALLACE J., ONG C. 2000. Tree pruning as a means of controlling water use in an agroforestry system in Kenya. Forest Ecology and Management. Vol. 126. Iss. 2 p. 133–148.
• JERNECK A., OLSSON L. 2008. Adaptation and the poor: development, resilience and transition. Climate Policy. Vol. 8. Iss. 2 p. 170–182.
• JERNECK A., OLSSON L. 2013a. Food first! Theorising agroforestry adoption in smallscale agriculture: Risk evaders, opportunity seekers and the 'the food imperative' in sub-Saharan Africa. International Journal of Agricultural Sustainability. Vol. 12. Iss. 1 p. 1–22.
• JERNECK A., OLSSON L. 2013b. More than trees! Understanding the agroforestry adoption gap in subsistence agriculture: Insights from narrative walks in Kenya. Journal of Rural Studies. Vol. 32 p. 114–125.
• KABWE G., BIGSBY H.R., CULLEN R. 2009. Factors influencing adoption of agroforestry among smallholder farmers in Zambia [online]. In: The 2009 NZARES Conference. Nelson, New Zealand. 27–28.08.2009. New Zealand Agricultural and Resource Economics Society (Inc.). [Access 22.01.2015]. Available at: https://www.semanticscholar.org/paper/Factors-influencing-adoption-of-agroforestry-among-Kabwe-Bigsby/210f1c2c0df6c3b814f6756bc280db9934d97bf5
• KANG B., WILSON G. 1987. The development of alley cropping as a promising agroforestry technology. In: Agroforestry: A decade of development. Eds. H.A. Stepler, P.K.R. Nair. Nairobi. International Council for Research in Agroforestry p. 227–243.
• KIPTOT E., FRANZEL S., HEBINCK P., RICHARDS P. 2006. Sharing seed and knowledge: Farmer to farmer dissemination of agroforestry technologies in western Kenya. Agroforestry Systems. Vol. 68. Iss. 3 p. 167–179.
• KWESIGA F., AKINNIFESI F., MAFONGOYA P., MCDERMOTT M., AGUMYA A. 2003. Agroforestry research and development in southern Africa during the 1990s: review and challenges ahead. Agroforestry Systems. Vol. 59. Iss. 3 p. 173–186.
• LAMBRECHTS C., WOODLEY B., CHURCH C., GACHANJA M. 2003. Aerial survey of the destruction of the Aberdare Range forests. UNEP. Division of Early Warning and Assessment pp. 35.
• LINIGER H., STUDER R.M., HAUERT C., GURTNER M. 2011. Sustainable land management in practice – Guidelines and best practices for Sub-Saharan Africa. TerrAfrica, World Overview of Conservation Approaches and Technologies (WOCAT), Food and Agriculture Organization of the United Nations (FAO). ISBN 978-92-5-000000-0 pp. 243.
• LIU H., HUANG Q. 2013. Adoption and continued use of contour cultivation in the highlands of southwest China. Ecological Economics. Vol. 91 p. 28–37.
• MATTILA M., KARJALUOTO H., PENTO T. 2003. Internet banking adoption among mature customers: Early majority or laggards? Journal of Services Marketing. Vol. 17. Iss. 5 p. 514–528.
• MCDONALD D.G., GLYNN C.J. 1994. Difficulties in measuring adoption of apple IPM: A case study. Agriculture, Ecosystems and Environment. Vol. 48. Iss. 3 p. 219–230.
• MEIJER S.S., CATACUTAN D., AJAYI O.C., SILESHI G.W., NIEUWENHUIS M. 2015. The role of knowledge, attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in sub-Saharan Africa. International Journal of Agricultural Sustainability. Vol. 13. No. 1 p. 40–54.
• MERCER D.E. 2004. Adoption of agroforestry innovations in the tropics: A review. Agroforestry Systems. Vol. 61. Iss. 1–3 p. 311–328.
• MUCHENA F., HILHORST T. 2000. Nutrients on the move: Soil fertility dynamics in African farming systems. IIED. ISBN 1899825568 pp. 146.
• MUGENDA O.M. 1999. Research methods: Quantitative and qualitative approaches. Nairobi. African Centre for Technology Studies. ISBN 9966411070 pp. 256.
• MUGI-NGENGA E.W., MUCHERU-MUNA M.W., MUGWE J.N., NGETICH F.K., MAIRURA F.S., MUGENDI D.N. 2016. Household's socio-economic factors influencing the level of adaptation to climate variability in the dry zones of Eastern Kenya. Journal of Rural Studies. Vol. 43 p. 49–60.
• MWANGI V.W. 2013. Energy consumption among rural households in Mukaro location of Nyeri County, Kenya. MArts Thesis. Nairobi. University of Nairobi pp. 94.
• MWASE W., SEFASI A., NJOLOMA J., NYOKA B.I., MANDUWA D., NYAIKA J. 2015. Factors affecting adoption of agroforestry and evergreen agriculture in Southern Africa. Environment and Natural Resources Research. Vol. 5. No. 2 p. 148–157.
• NEUPANE R.P., SHARMA K.R., THAPA G.B. 2002. Adoption of agroforestry in the hills of Nepal: A logistic regression analysis. Agricultural Systems. Vol. 72. Iss. 3 p. 177–196.
• NILES J.O., BROWN S., PRETTY J., BALL A.S., FAY J. 2002. Potential carbon mitigation and income in developing countries from changes in use and management of agricultural and forest lands. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences. Vol. 360(1797) p. 1621–1639.
• NIND M. 2011. Participatory data analysis: A step too far? Qualitative Research. Vol. 11. Iss. 4 p. 349–363.
• NYANGA A., KESSLER A., TENGE A. 2016. Key socio-economic factors influencing sustainable land management investments in the West Usambara Highlands, Tanzania. Land Use Policy. Vol. 51 p. 260–266.
• PASTUR G.M., ANDRIEU E., IVERSON L.R. PERI P.L. 2012. Agroforestry landscapes and global change: Landscape ecology tools for management and conservation. Agroforestry Systems. Vol. 85. Iss. 3 p. 315–318.
• PENDER J., PLACE F., EHUI S. (eds.) 2006. Strategies for sustainable land management in the East African highlands. Washington, D.C. Intl Food Policy Res. Inst. ISBN 0-89629-757-8 pp. 483.
• RAINTREE J. 1983. Strategies for enhancing the adoptability of agroforestry innovations. Agroforestry Systems. Vol. 1. Iss. 3 p. 173–187.
• RAINTREE J. 1985. Factors affecting the adoption of agroforestry innovations by traditional farmers. In: Advances in agroforestry research. Eds. J. Beer, H.W. Fassbender, J. Heuveldop. Turrialba, Costa Rica. CATIE p. 271–281.
• RAINTREE J.B. 1991. Socioeconomic attributes of trees and tree planting. FAO Community Forestry Note. Iss. 9 pp. 115.
• RAMACHANDRAN NAIR P.K, MOHAN KUMAR B., NAIR V.D. 2009. Agroforestry as a strategy for carbon sequestration. Journal of Plant Nutrition and Soil Science. Vol. 172. Iss. (1) p. 10–23.
• REED M. 2007. Participatory technology development for agroforestry extension: An innovation-decision approach. African Journal of Agricultural Research. Vol. 2. Iss. 8 p. 334–341.
• REED M., PODESTA G., FAZEY I., GEESON N., HESSEL R., HUBACEK K., LETSON D., NAINGGOLAN D., PRELL C., RICKENBACH M. 2013. Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options. Ecological Economics. Vol. 94 p. 66–77.
• REYES T. 2008. Peltometsäviljely kestävän maankäytön kehittämisen keinona: tutkimuksia Itä-Usambaran vuoristoalueella Tansaniassa [Agroforestry systems for sustainable livelihoods and improved land management in the East Usambara Mountains, Tanzania]. Tropical Forestry Reports. No. 34. Helsinki. Univ. of Helsinki. ISBN 978-952-10-4556-1 p. 13–136.
• ROGERS E.M. 2002. Diffusion of preventive innovations. Addictive Behaviors. Vol. 27. Iss. 6 p. 989–993.
• ROGERS E.M. 2010. Diffusion of innovations. 4th ed. Simon and Schuster. ISBN 1451602472 pp. 518.
• RULE L.Ð., FLORA C.B., HODGE S.S. 2000. Social dimensions of agroforestry [online]. [Access 22.01.2015]. Available at: https://www.google.com/search?client=firefox-b&biw= 1366&bih=611&ei=EecnW5m9Ns2ckwX4q6eABA&q=10+social+dimensions+of+agroforestry&oq=10+social+dimensions+of+agroforestry&gs_l=psy ab.3...3078.3078.0.3595.1.1.0.0.0.0.153.153.0j1.1.0....0...1c.2.64.psy-ab..0.0.0....0.IUcpy 61P9Bk#
• SANCHEZ P.A., SHEPHERD K.D., SOULE M.J., PLACE F.M., BURESH R.J., IZAC A.-M.N., MOKWUNYE A.U., KWESIGA F.R., NDIRITU C.G., WOOMER P.L. 1997. Soil fertility replenishment in Africa: An investment in natural resource capital. In: Replenishing soil fertility in Africa. Eds. R.J. Buresh, P.A. Sanchez, F. Calhoun. SSSA Special Publication. No. 51. ISBN 978-0-89118-946-6 p. 1–46.
• SCHERR S.J. 1995. Economic factors in farmer adoption of agroforestry: Patterns observed in western Kenya. World Development. Vol. 23. Iss. 5 p. 787–804.
• SCHERR S.J. 1999. Poverty-environment interactions in agriculture: Key factors and policy implications. UNDP pp. 36.
• SHEPHERD K., SOULE M. 1998. Soil fertility management in west Kenya: Dynamic simulation of productivity, profitability and sustainability at different resource endowment levels. Agriculture, Ecosystems and Environment. No. 71. Iss. 1 p. 131–145.
• StataCorp LLC 2007. Stata data analysis and statistical Software. Special Edition Release 10. College Station, TX: Stata Press.
• STEELE J., MURRAY M. 2004. Creating, supporting and sustaining a culture of innovation. Engineering, Construction and Architectural Management. Vol. 11. Iss. 5 p. 316–322.
• STUPPLES L.G. 1988. Policy strategies for the implementation of agroforestry in New Zealand. MSc Thesis. Lincoln College, University of Canterbury pp. 78.
• TRAORE N., LANDRY R. AMARA N. 1998. On-farm adoption of conservation practices: The role of farm and farmer characteristics, perceptions, and health hazards. Land Economics. Vol. 74. Iss. 1 p. 114-127.
• WORKMAN S.W., ALLEN S.C. 2011. The practice and potential of agroforestry in the Southeastern United States. Univ. Florida. IFAS Extension pp. 49.
• XU J., VAN NOORDWIJK M., HE J., KIM K.-J., JO R.-S., PAK K.-G., KYE U.-H., KIM J.-S., KIM K.-M., SIM Y.-N. 2012. Participatory agroforestry development for restoring degraded sloping land in DPR Korea. Agroforestry Systems. Vol. 85. Iss. 2 p. 291–303.
• ZARE N., KHALEDIAN M., MAILHOL J.C. 2014. Using Water and Agrochemicals in the soil, crop and Vadose Environment (WAVE) model to interpret nitrogen balance and soil water reserve under different tillage managements. Journal of Water and Land Development. No. 22 p. 33–39. DOI 10.2478/jwld-2014-0020.