Are Spatial Factors Important in the Adoption of Eco-Friendly Agricultural Technologies? Evidence on Integrated Pest Management (IPM) — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Are Spatial Factors Important in the Adoption of Eco-Friendly Agricultural Technologies? Evidence on Integrated Pest Management (IPM)
Department of Agricultural Extension and Information System, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
,
Department of Geography, School of Humanities, Universiti Sains Malaysia, Penang, Malaysia
,
Department of Agricultural Extension and Information System, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
1 Department of Agricultural Extension and Information System, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
2 Department of Geography, School of Humanities, Universiti Sains Malaysia, Penang, Malaysia
3 Department of Agricultural Extension and Information System, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh
Past studies on the adoption of integrated pest management (IPM), analyzed the significance of non-spatial factors (social, economic, institutional and management factors etc.) in influencing farmers’ decision to adopt IPM while the present study analyzed spatial factors in addition to these non-spatial factors to address the questions-i. Do the spatial factors significantly influence the farmers to adopt IPM? If yes, then to what extent they do affect IPM adoption? The data were collected from 331 vegetable farmers of Narsingdi district, Bangladesh, by conducting a household survey. Farmers’ nineteen characteristics under five broad groups, namely social, economic, institutional, management and spatial factors were analyzed. The result of the binary logistic regression model revealed that two spatial factors namely the distance of farmers’ house from the nearest market and the distance from agriculture office, along with some specific social, economic, institutional and management factors, significantly influenced the farmers’ to use IPM. It is also observed from the model that the role of spatial factors was important in influencing IPM adoption. However, with regard to the level of importance, their contribution was less than those of economic and institutional factors but more than those of social and management factors. The influences of these factors in practicing IPM are discussed individually as well as group based. The findings show significance in domestic policy making.
KeywordsSpatial FactorsAdoptionIPMLogistic Regression Model
Kabir, M.H. and Rainis, R. (2013) Sustainable Development Strategies and Challenges for Promotion of Integrated Pest Management Program in Bangladesh Agriculture. American-Eurasian Journal of Agricultural and Environmental Sciences, 13, 988-995.
Kabir, M.H. and Rainis, R. (2012) Farmers’ Perception on the Adverse Effects of Pesticide on Environment: A Case of Bangladesh. International Journal of Sustainable Agriculture, 4, 25-32.
Lynch, S., Green, C. and Carol, K. (1996) Broadening support for 21st century IPM. Proceedings of the 3rd National IPM Symposium/Workshop: Broadening Support for 21st Century IPM, Washington DC, 27 February-1 March 1996.
DAE (2012) IPM Phase-II, Plant Protection Wing of Department of Agricultural Extension, Farmgate, Dhaka, Bangladesh.
Kabir, M.H. and Rainis, R. (2013b) Integrated Pest Management Farming in Bangladesh: Present Scenario and Future Prospect. Journal of Agricultural Technology, 9, 515-527.
Nasrin, M.F. (2010) Prospects of Integrated Pest Management in Bangladesh. Paper Presented in a Workshop on IPM in Bangladesh, Dhaka, Bangladesh.
FPMU (2012) Food Planning and Monitoring Unit. Ministry of Food and Disaster Management of the Government of Bangladesh.
Dasgupta, S., Meisner, C. and Wheeler, D. (2007) Is Environmentally Friendly Agriculture Less Profitable for Farmers? Evidence on Integrated Pest Management in Bangladesh. Applied Economic Perspectives and Policy, 29, 103-118.
Harris, L.M. (2011) Modeling a Cost-Effective IPM Dissemination Strategy for Vegetables and Rice: An Example in South Asia. MSc Thesis, Virginia Polytechnic Institute and State University, Blacksburg.
Ricker-Gilbert, J. (2005) Cost-Effectiveness Evaluation of Integrated Pest Management (IPM) Extension Methods and Programs: The Case of Bangladesh. MSc Thesis, Virginia Polytechnic Institute and State University, Blacksburg.
Samiee, A., Rezvanfar, A. and Faham, E. (2009) Factors Influencing the Adoption of Integrated Pest Management (IPM) by Wheat Farmers in Varamin County, Iran. African Journal of Agricultural Research, 4, 491-497.
Singh, A., Vasishtb, A.K., Kumar, R. and Das, D.K. (2008) Adoption of Integrated Pest Management Practices in Paddy and Cotton: A Case Study in Haryana and Punjab. Agricultural Economics Research Review, 21, 221-226.
Chaves, B. and Riley, J. (2001) Determination of Factors Influencing Integrated Pest Management Adoption in Coffee Berry Borer in Colombian Farms. Agriculture, Ecosystems and Environment, 87, 159-177.
Ofuoku, A.U., Egho, E.O. and Enujeke, E.C. (2008) Integrated Pest Management (IPM) Adoption among Farmers in Central Agro-Ecological Zone of Delta State, Nigeria. African Journal of Agricultural Research, 3, 852-856.
Bonabana-Wabbi, J., Taylor, D.B. and Kasenge, V. (2006) A Limited Dependent Variable Analysis of Integrated Pest Management Adoption in Uganda. Paper Presented at the American Agricultural Economics Association Annual Meeting, Long Beach.
Kabir, M.H. and Rainis, R. (2013c) Determinants and Methods of Integrated Pest Management Adoption in Bangladesh: An Environment Friendly Approach. American-Eurasian Journal of Sustainable Agriculture, 7, 99-107.
Raut, N., K Sitaula, B., Vatn, A. and Paudel, G. (2011) Determinants of Adoption and Extent of Agricultural Intensification in the Central Mid-Hills of Nepal. Journal of Sustainable Development, 4, 47-60. https://doi.org/10.5539/jsd.v4n4p47
Mariano, M.J., Villano, R. and Fleming, E. (2012) Factors Influencing Farmers’ Adoption of Modern Rice Technologies and Good Management Practices in the Philippines. Agricultural System, 110, 41-53.
Todo, Y., Yadate, D.M., Matous, P. and Takahashi, R. (2011) Effects of Geography and Social Networks on Diffusion and Adoption of Agricultural Technology: Evidence from Rural Ethiopia. Kyoto University, Kyoto.
Beshir, H. (2014) Factors Affecting the Adoption and Intensity of Use of Improved Forages in North East Highlands of Ethiopia. American Journal of Experimental Agriculture, 4, 12-27. https://doi.org/10.9734/AJEA/2014/5481
Rogers, E.M. (1995) Diffusion of Innovations. 4th Edition, The Free Press, New York.
Rogers, E.M. (2003) Diffusion of Innovations. 5th Edition, The Free Press, New York.
Nkamleu, G.B. (2007) Modeling Farmers’ Decisions on Integrated Soil Nutrient Management in Sub-Saharan Africa: A Multinomial Logit Analysis in Cameroon. In: Bationo, A., Ed., Advances in Integrated Soil Fertility Management in Sub-Saharan Africa: Challenges and Opportunities, Springer, Berlin, 891-903. https://doi.org/10.1007/978-1-4020-5760-1_85
Wollni, M. and Andersson, C. (2013) Spatial Patterns of Organic Agriculture Adoption: Evidence from Honduras. Global Food Discussion Paper No. 20, George-August University of Gottingen, Gottingen.
Dadi, L., Burton, M. and Ozanne, A. (2001) Adoption and Intensity of Fertilizer and Herbicide Use in the Central Highlands of Ethiopia, Agrekon. Agricultural Economics Research, Policy and Practice in Southern Africa, 40, 316-333.
Chirwa, E.W. (2005) Adoption of Fertilizer and Hybrid Seeds by Smallholder Maize Farmers in Southern Malawi. Development Southern Africa, 22, 1-12. https://doi.org/10.1080/03768350500044065
Uaiene, R.N., Arndt, C. and Masters, W.A. (2009) Determinants of Agricultural Technology Adoption in Mozambique. Discussion Paper No. 67E, Ministry of Planning and Development, Republic of Mozambique, Tete.
Idrisa, Y.L., Ogunbameru, B.O. and Madukwe, M.C. (2012) Logit and Tobit Analyses of the Determinants of Likelihood of Adoption and Extent of Adoption of Improved Soya Bean seed in Borno State, Nigeria. Greener Journal of Agricultural Sciences, 2, 37-45. https://doi.org/10.15580/GJAS.2013.3.1231
Holloway, G., Shankar, B. and Rahman, S. (2002) Bayesian Spatial Probit Estimation: A Primer and an Application to HYV Rice Adoption. Agricultural Economics, 27, 383-402. https://doi.org/10.1111/j.1574-0862.2002.tb00127.x
Kariyasa, K. and Dewi, Y.A. (2013) Analysis of Factors Affecting Adoption of Integrated Crop Management Farmer Field School Estimation: (Icm-Ffs) in Swampy Areas. International Journal of Food and Agricultural Economics, 1, 29-38.
Fentie, D., Fufa, B. and Bekele, W. (2013) Determinants of the Use of Soil Conservation Technologies by Smallholder Farmers: The Case of Hulet Eju Enesie District, East Gojjam Zone, Ethiopia. Asian Journal of Agriculture and Food Sciences, 1, 119-138.
Barungi, M., Ng’ong’ola, D.H., Edriss, A., Mugisha, J., Waithaka, M. and Tukahirwa, J. (2013) Factors Influencing the Adoption of Soil Erosion Control Technologies by Farmers along the Slopes of Mt. Elgon in Eastern Uganda. Journal of Sustainable Development, 6, 9-25. https://doi.org/10.5539/jsd.v6n2p9
Senait, R. (2005) Determinants of Choice of Land Management Practices: A Case of Ankober District. Ethiopian Journal of Agricultural Sciences, 18, 53-67.
Haque, M.M., Little, D.C., Barman, B.K. and Wahab, M.A. (2010) The Adoption Process of Rice Fish Based Fish Seed Production in Northwest Bangladesh: An Understanding through Quantitative and Qualitative Investigation. The Journal of Agricultural Extension and Education, 16, 161-177. https://doi.org/10.1080/13892241003651415
Teklewold, H., Kassie, M. and Shiferaw, B. (2012) On the Joint Estimation of Multiple Adoption Decisions: The Case of Sustainable Agricultural Technologies and Practices in Ethiopia. Selected Paper Prepared for Presentation at the International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguacu.
Chukwu, A.O. and Obi, K.U. (2014) Determinants of Use of Improved Cassava Production Technologies among Smallholder Farmers in Imo State, Nigeria. Asian Journal of Science and Technology, 5, 67-70.
Nkamleu, G.B. and Adesina, A.A. (2000) Determinants of Chemical Input Use in Peri-Urban Lowland Systems: Bivariate Probit Analysis in Cameroon.
Tatlidil, F.F., Boz, I. and Tatlidil, H. (2009) Farmers Perception of Sustainable Agriculture and Its Determinants: A Case Study in Kahramanmaras Province of Turkey. Environment, Development and Sustainability, 11, 1091-1106. https://doi.org/10.1007/s10668-008-9168-x
Haque, M.M., Kabir, M.H. and Nishi, N.A. (2016) Determinants of Rice Farmers’ Adoption of Integrated Pest Management (IPM) Practices in Bangladesh. Journal of Experimental Agriculture International, 14, 1-6.
Owusu, V., Bakang, J.E.A., Abaidoo, R.C. and Kinane, M.L. (2012) Perception on Untreated Wastewater Irrigation for Vegetable Production in Ghana. Environment, Development and Sustainability, 14, 135-150. https://doi.org/10.1007/s10668-011-9312-x
Mazvimavi, K. and Twomlow, S. (2009) Socioeconomic and Institutional Factors Influencing Adoption of Conservation Farming by Vulnerable Households in Zimbabwe. Agricultural Systems, 101, 20-29.
Mauceri, M., Alwang, J., Norton, G. and Barrera, V. (2005) Adoption of Integrated Pest Management Technologies: A Case Study of Potato Farmers in Carchi, Ecuador. American Agricultural Economics Association Annual Meeting, Providence, 24-27 July 2005.
Kabir, M.H. and Rainis, R. (2015) Do Farmers Not Widely Adopt Environmentally Friendly Technologies? Lesson from Integrated Pest Management (IPM) Modern Applied Science, 9, 208-215. https://doi.org/10.5539/mas.v9n3p208
McNamara, K.T., Wetzstein, M.E. and Douce, G.K. (1991) Factors Affecting Peanut Producer Adoption of Integrated Pest Management. Applied Economics Perspective and Policy, 13, 129-139. https://doi.org/10.2307/1349563