Evaluating the Effect of Farmers’ Training on Rice Production in Sierra Leone: A Case Study of Rice Cultivation in Lowland Ecology
This study endeavors to evaluate the effects of farmers’ training program on the adoption of improved farming practices, the output of rice farming, and the income as well as the profit from rice farming by employing an ex-post non-experimental data in Sierra Leone. It was established that participating in farmers’ training program increased the possibility of adoption of the improved farming activities that were implemented in the study area. Through the training program also, the proceeds from rice production was also established to have increased considerably. These results were in line with the assumption that one of the main constraints on the growth in agricultural output particularly rice cultivation in most African states is the lack of efficient extension programs.
<p>[1] D. Hongmin, L. Yue, D. Kemp, D. Michalk, N. Renhua, T. Takahashi,
and Y. Yubo, Reducing methane production from livestock: can more
efficient livestock systems help? Development of sustainable livestock
systems on grasslands in north-western china, 2011, pp. 115.
[2] M.L. Burgoyne, Factors affecting housing delivery in South Africa: a
case study of the Fisantekraal housing development project, Western
Cape (Doctoral dissertation, Stellenbosch: University of Stellenbosch),
2008.
[3] O. O. Ogundele, and V. Okoruwa, Technical efficiency differentials in
rice production technologies in Nigeria (No. RP_154). African
Economic Research Consortium, 2006.
[4] E. L. Molua, Rice production response to trade liberalization in
Cameroon. Research Journal of Agriculture and Biological Sciences,
vol. 6, no.2, pp.118-129, 2010.
[5] D. Mitchell, A note on rising food prices. World Bank Policy Research
Working Paper Series, Vol, 2008.
[6] S. V. Self-reporting, Derek Headey was the global food crisis really a
crisis? Simulations versus self-reporting, 2012.
[7] T. Atinmo, P. Mirmiran, O. E. Oyewole, R. Belahsen, and L.
Serra‐Majem, Breaking the poverty/malnutrition cycle in Africa and the
Middle East. Nutrition reviews, vol, 67(s1), S40-S46, 2009.
[8] B. M. Mati, R. Wanjogu, B. Odongo, and P. G. Home, Introduction of
the system of rice intensification in Kenya: experiences from Mwea
Irrigation Scheme. J.Paddy and Water Environment, vol. 9, no. 1,
pp.145-154, 2011.
[9] M., Mallory, and K. Baylis, The Food Corporation of India and the
Public Distribution System: Impacts on Market Integration in Wheat,
Rice, and Pearl Millet, 2012.
[10] United Nations. Economic Commission for Africa. Sub regional Office
for Southern Africa; United Nations. Economic Commission for Africa.
(2007). Impact of food aid and developed countries' agricultural
subsidies on long-term sustainability of food security in Southern Africa.
[11] S. Pandey, and D. Van Minh, A socio-economic analysis of rice
production systems in the uplands of northern Vietnam. J. Agriculture,
ecosystems & environment, vol.70, no., pp.249-258, 1998.
[12] D. Van Tran, Closing the rice yield gap for food security. International
Rice Commission. Food and Agricultural Organization, 2001.
[13] A. Doberman, and T.Fairhurst, Rice: Nutrient disorders & nutrient
management. Int. Rice Res. Inst, 2000.
[14] A. Ferrero & A. Tinarelli, Rice cultivation in the EU ecological
conditions and agronomical practices. Pesticide Risk Assessment in Rice
Paddies: Theory and Practice: Theory and Practice, vol.1, 2011.
[15] K. S. Fischer, S. Fukai, A. Kumar, H., Leung, and, B. Jongdee, Field
phenotyping strategies and breeding for adaptation of rice to drought.
Frontiers in Physiology, vol.3, 2012.
[16] S. O. Adigbo, T. Wakatsuki, J. N. Odedina, T. O. Fabunmi, and V. B.
Adigbo, Exploiting the Potentials of Inland Valleys of Nigeria for
Poverty Alleviation. COLERM Proceedings, vol.2, pp.464-477, 2012.
[17] M., Demont, J., Rodenburg, M., Diagne, and S.Diallo, The impact
assessment of herbicide resistant rice in the Sahel. J. Crop Protection,
vol.28, no.9, pp.728-736, 2009.
[18] M. L. McNeely, S. A., Olivo, and D. J. Magee, A systematic review of
the effectiveness of physical therapy interventions for
temporomandibular disorders. J. Physical Therapy, vol.86, no.5, pp.710-
725, 2006.
[19] E. Duguet, Are R&D subsidies a substitute or a complement to privately
funded R&D? Evidence from France using propensity score methods for
non-experimental data. Evidence from France using Propensity Score
Methods for Non-Experimental Data (July 2003). University of Paris I
Cahier de la MSE EUREQua Working Paper, (2003.75), 2003.
[20] B. Melly, Estimation of counterfactual distributions using quantile
regression. Review of Labor Economics, vol.68, pp.543-572, 2006.
[21] M. P. McCartney, and M. C. ACREMAN, 17 Wetlands and Water
Resources. The Wetlands Handbook, 2 Volume Set, pp.357, 2009.
[22] P. A. Seck, E. Tollens, M., Wopereis, A., Diagne, and I. Bamba, Rising
trends and variability of rice prices: Threats and opportunities for sub-
Saharan Africa. J.Food Policy, vol.35, no. 5, pp.403-411, 2010.
[23] R. S. Zeigler, and A. Barclay, The relevance of rice. Rice, vol.1, no1,
pp.3-10, 2008.
[24] P. C. Austin, Optimal caliper widths for propensity‐score matching
when estimating differences in means and differences in proportions in
observational studies. Pharmaceutical statistics, vol.10, no.2, pp.150-
161, 2011.
[25] J. Mensah, J. R., Oppong, and C. M. Schmidt, Ghana's National Health
Insurance Scheme in the context of the health MDGs: An empirical
evaluation using propensity score matching. Health economics, vol 19.
(S1), pp.95-106.
[26] I. Matuschke, and Qaim, M. The impact of social networks on hybrid
seed adoption in India. J. Agricultural Economics, pp.40, no.5, pp.493-
505, 2009.
[27] V. Anosike, and M. Fasona, Gender dimensions of urban commercial
farming in Lagos, Nigeria. J.Urban Agriculture Magazine, vol.12, pp.27-
28, 2004
[28] M. Buyinza, and N. Wambede, Extension for agroforestry technology
adoption: mixed intercropping of crotolaria (Crotolaria grahamiana) and
maize (Zea mays L.) in Kabale district, Uganda. Environmental
Research Journal, vol.2.no.3, pp.131-137, 2008.</p>
<p>[1] D. Hongmin, L. Yue, D. Kemp, D. Michalk, N. Renhua, T. Takahashi,
and Y. Yubo, Reducing methane production from livestock: can more
efficient livestock systems help? Development of sustainable livestock
systems on grasslands in north-western china, 2011, pp. 115.
[2] M.L. Burgoyne, Factors affecting housing delivery in South Africa: a
case study of the Fisantekraal housing development project, Western
Cape (Doctoral dissertation, Stellenbosch: University of Stellenbosch),
2008.
[3] O. O. Ogundele, and V. Okoruwa, Technical efficiency differentials in
rice production technologies in Nigeria (No. RP_154). African
Economic Research Consortium, 2006.
[4] E. L. Molua, Rice production response to trade liberalization in
Cameroon. Research Journal of Agriculture and Biological Sciences,
vol. 6, no.2, pp.118-129, 2010.
[5] D. Mitchell, A note on rising food prices. World Bank Policy Research
Working Paper Series, Vol, 2008.
[6] S. V. Self-reporting, Derek Headey was the global food crisis really a
crisis? Simulations versus self-reporting, 2012.
[7] T. Atinmo, P. Mirmiran, O. E. Oyewole, R. Belahsen, and L.
Serra‐Majem, Breaking the poverty/malnutrition cycle in Africa and the
Middle East. Nutrition reviews, vol, 67(s1), S40-S46, 2009.
[8] B. M. Mati, R. Wanjogu, B. Odongo, and P. G. Home, Introduction of
the system of rice intensification in Kenya: experiences from Mwea
Irrigation Scheme. J.Paddy and Water Environment, vol. 9, no. 1,
pp.145-154, 2011.
[9] M., Mallory, and K. Baylis, The Food Corporation of India and the
Public Distribution System: Impacts on Market Integration in Wheat,
Rice, and Pearl Millet, 2012.
[10] United Nations. Economic Commission for Africa. Sub regional Office
for Southern Africa; United Nations. Economic Commission for Africa.
(2007). Impact of food aid and developed countries' agricultural
subsidies on long-term sustainability of food security in Southern Africa.
[11] S. Pandey, and D. Van Minh, A socio-economic analysis of rice
production systems in the uplands of northern Vietnam. J. Agriculture,
ecosystems & environment, vol.70, no., pp.249-258, 1998.
[12] D. Van Tran, Closing the rice yield gap for food security. International
Rice Commission. Food and Agricultural Organization, 2001.
[13] A. Doberman, and T.Fairhurst, Rice: Nutrient disorders & nutrient
management. Int. Rice Res. Inst, 2000.
[14] A. Ferrero & A. Tinarelli, Rice cultivation in the EU ecological
conditions and agronomical practices. Pesticide Risk Assessment in Rice
Paddies: Theory and Practice: Theory and Practice, vol.1, 2011.
[15] K. S. Fischer, S. Fukai, A. Kumar, H., Leung, and, B. Jongdee, Field
phenotyping strategies and breeding for adaptation of rice to drought.
Frontiers in Physiology, vol.3, 2012.
[16] S. O. Adigbo, T. Wakatsuki, J. N. Odedina, T. O. Fabunmi, and V. B.
Adigbo, Exploiting the Potentials of Inland Valleys of Nigeria for
Poverty Alleviation. COLERM Proceedings, vol.2, pp.464-477, 2012.
[17] M., Demont, J., Rodenburg, M., Diagne, and S.Diallo, The impact
assessment of herbicide resistant rice in the Sahel. J. Crop Protection,
vol.28, no.9, pp.728-736, 2009.
[18] M. L. McNeely, S. A., Olivo, and D. J. Magee, A systematic review of
the effectiveness of physical therapy interventions for
temporomandibular disorders. J. Physical Therapy, vol.86, no.5, pp.710-
725, 2006.
[19] E. Duguet, Are R&D subsidies a substitute or a complement to privately
funded R&D? Evidence from France using propensity score methods for
non-experimental data. Evidence from France using Propensity Score
Methods for Non-Experimental Data (July 2003). University of Paris I
Cahier de la MSE EUREQua Working Paper, (2003.75), 2003.
[20] B. Melly, Estimation of counterfactual distributions using quantile
regression. Review of Labor Economics, vol.68, pp.543-572, 2006.
[21] M. P. McCartney, and M. C. ACREMAN, 17 Wetlands and Water
Resources. The Wetlands Handbook, 2 Volume Set, pp.357, 2009.
[22] P. A. Seck, E. Tollens, M., Wopereis, A., Diagne, and I. Bamba, Rising
trends and variability of rice prices: Threats and opportunities for sub-
Saharan Africa. J.Food Policy, vol.35, no. 5, pp.403-411, 2010.
[23] R. S. Zeigler, and A. Barclay, The relevance of rice. Rice, vol.1, no1,
pp.3-10, 2008.
[24] P. C. Austin, Optimal caliper widths for propensity‐score matching
when estimating differences in means and differences in proportions in
observational studies. Pharmaceutical statistics, vol.10, no.2, pp.150-
161, 2011.
[25] J. Mensah, J. R., Oppong, and C. M. Schmidt, Ghana's National Health
Insurance Scheme in the context of the health MDGs: An empirical
evaluation using propensity score matching. Health economics, vol 19.
(S1), pp.95-106.
[26] I. Matuschke, and Qaim, M. The impact of social networks on hybrid
seed adoption in India. J. Agricultural Economics, pp.40, no.5, pp.493-
505, 2009.
[27] V. Anosike, and M. Fasona, Gender dimensions of urban commercial
farming in Lagos, Nigeria. J.Urban Agriculture Magazine, vol.12, pp.27-
28, 2004
[28] M. Buyinza, and N. Wambede, Extension for agroforestry technology
adoption: mixed intercropping of crotolaria (Crotolaria grahamiana) and
maize (Zea mays L.) in Kabale district, Uganda. Environmental
Research Journal, vol.2.no.3, pp.131-137, 2008.</p>
@article{"International Journal of Business, Human and Social Sciences:63185", author = "Alhaji M. H. Conteh and Xiangbin Yan and M. E. S. Mvodo", title = "Evaluating the Effect of Farmers’ Training on Rice Production in Sierra Leone: A Case Study of Rice Cultivation in Lowland Ecology", abstract = "This study endeavors to evaluate the effects of farmers’ training program on the adoption of improved farming practices, the output of rice farming, and the income as well as the profit from rice farming by employing an ex-post non-experimental data in Sierra Leone. It was established that participating in farmers’ training program increased the possibility of adoption of the improved farming activities that were implemented in the study area. Through the training program also, the proceeds from rice production was also established to have increased considerably. These results were in line with the assumption that one of the main constraints on the growth in agricultural output particularly rice cultivation in most African states is the lack of efficient extension programs.
", keywords = "Dissemination of information, improved farming
practices, rice ecologies, Sierra Leone.", volume = "7", number = "7", pages = "2164-8", }
