Technology adoption typology and rice yield differentials in Ghana: Principal component analysis approach

References

• Altieri, M. A. 1995. Agroecology: The Science of Sustainable Agriculture. Boulder: Westview Press.
   Google Scholar
• Bobko, P., P. L. Roth, and M. A. Buster. 2007. “The Usefulness of Unit Weights in Creating Composite Scores a Literature Review, Application to Content Validity, and Meta-Analysis.” Organizational Research Methods 10 (4): 689–709. doi: 10.1177/1094428106294734
   Web of Science ®Google Scholar
• Booysen, F., S. van der Berg, R. Burger, M. von Maltitz, and G. du Rand. 2008. “Using an Asset Index to Assess Trends in Poverty in Seven sub-Saharan African Countries.” World Development 36 (6): 1113–1130. doi:10.1016/j.worlddev.2007.10.008.
   Web of Science ®Google Scholar
• Chambers, R., A. Pacey, and L. A. Thrupp. 1989. Farmers First: Farmer Innovation and Agricultural Research, 218. London: Intermediate Technology Publications.
   Google Scholar
• Dong, F., D. P. Mitchel, and J. Colquhoun. 2015. “Measuring Farm Sustainability Using Data Envelope Analysis with Principal Components: The Case of Wisconsin Cranberry.” Journal of Environmental Management, Elsevier 147 (2015): 175–183. doi:10.1016/j.jenvman.2014.08.025.
   PubMedGoogle Scholar
• Donkoh, A. S., and A. J. Awuni. 2011. “Adoption of Farm Management Practices in Lowland Rice Production in Northern Ghana.” Journal of Agriculture and Bilogical Sciences 2 (6): 183–192.
   Google Scholar
• Duong, T., and V. Duong. 2008. “Non-Negative Sparse Principal Component Analysis for Multidimensional Constrained Optimization.” In Lecture Notes in Artificial Intelligence. 5351, edited by T.-B. Ho, and Z.-H. Zhou, 103–114. Berlin: Springer-Verlag. doi:10.1007/978-3-540-89197-0_13.
   Google Scholar
• Fermont, A., and T. Benson. 2011. “Estimating Yield of Food Crops Grown by Smallholder Farmers. A Review in the Uganda Context”. International Food Policy Research Institute (IFPRI). Discussion Paper 01097.
   Google Scholar
• Filmer, D., and L. H. Pritchett. 2001. “Estimating Wealth Effects Without Expenditure Data or Tears: An Application to Educational Enrollments in States of India.” Demography 38 (1): 115–132. doi:10.1353/dem.2001.0003.
   PubMed Web of Science ®Google Scholar
• Ghana Statistical Service (GSS). 2014. “Ghana Living Standards Survey Round 6 (GLSS 6).” Main Report, Ghana Statistical Service, Accra.
   Google Scholar
• Gilbert, E. H., D. W. Norman, and F. E. Winch. 1980. “Farming Systems Research: A Critical Appraisal”. MSU Rural Development Paper No. 6; Department of Agricultural Economics, Michigan State University, East Lansing, Michigan, USA.
   Google Scholar
• Han, H. 2010. “Nonnegative Principal Component Analysis for Mass Spectral Serum Profiles and Biomarker Discovery.” BMC Bioinformatics 11 (Suppl. 1): S1. doi:10.1186/1471-2105-11-S1-S1.
   PubMedGoogle Scholar
• Horna, D., M. Smale, R. Al-Hassan, J. Falck-Zepeda, and S. E. Timpo. 2008. “Insecticides Use on Vegetables in Ghana: Would GM Seed Benefit Farmers?” IFPRI Discussion Paper 007855.
   Google Scholar
• Howe, L. D., and J. R. Hargreaves. 2008. “Issues in the Construction of Wealth Indices for the Measurement of Socio-Economic Position in Low-Income Countries.” Emerging Themes in Epidemiology 5 (3). doi:10.1186/1742-7622-5-3.
   PubMedGoogle Scholar
• Kaiser, H. F. 1968. “A Measure of the Average Intercorrelation.” Educational and Psychological Measurement 28 (2): 245–247. doi:10.1177/001316446802800203.
   Web of Science ®Google Scholar
• Kendall, M. G. 1939. “The Geographical Distribution of Crop Productivity in England.” Journal of the Royal Statistical Society 102 (1): 21–62. http://www.jstor.org/stable/2980138. doi: 10.2307/2980138
   Google Scholar
• Maggino, F., and E. Ruviglioni. 2011. “Obtaining Weights: From Objective to Subjective Approaches in View of More Participative Methods in the Construction of Composite Indicators.” In Proceedings of new Techniques and Technologies for Statistics, 37–46. Brussels, Belgium: Eurostat.
   Google Scholar
• MoFA. 2015. Statistics, Research and Information Directorate (SRID). Accra, Ghana: Ministry of Food and Agriculture.
   Google Scholar
• Mohammed, S., S. I. Egyir, and D. P. K. Amegashie. 2013. “Social Capital and Access to Credit by Farmer Based Organizations in the Karaga District of Northern Ghana.” Journal of Economics and Sustainable Development 4 (16): 146–155. www.iiste.org.
   Google Scholar
• Richman, M. B. 1981. “Obliquely Rotated Principal Components: An Improved Meteorological Map Typing Technique?” Journal of Applied Meteorology 20: 1145–1159. doi:10.1175/1520-0450(1981)020<1145:ORPCAI>2.0.CO;2.
   Google Scholar
• Rivera, M. M., and R. V. Rivera. 2007. Practical and Guide to Thesis and Dissertation Writing. Revised ed. Quezon City, Philippines: Katha Publishing Inc.
   Google Scholar
• Rogers, E. M. 2003. Diffusion of Innovations. 5th ed. New York: The Free Press.
   Google Scholar
• Tabachnick, B. G., and L. S. Fidell. 2007. Using Multivariate Statistics. 5th ed. Upper Saddle River, NJ: Pearson Allyn and Bacon.
   Google Scholar
• Tambo, J. A., and T. Wünscher. 2014. Building Farmers’ Capacity for Innovation Generation: What are the Determining Factors? Bonn: Center for Development Research (ZEF), University of Bonn.
   Google Scholar
• Teeken, B., E. Nuijten, P. M. Temudo, F. Okry, A. Mokuwa, C. P. Struik, and P. Richards. 2012. “Maintaining or Abandoning African Rice: Lessons for Understanding Processes of Seed Innovation.” Human Ecology 40 (6): 879–892. doi:10.1007/s10745-012-9528-x.
   Web of Science ®Google Scholar
• Umeh, C. J. 1990. “An Econometric Choice for Extension-Teaching Methods: the Ilorin and Oyo North Agricultural Development Projects’ Experience.” Agricultural Economics 4 (4): 229–238. doi:10.1016/0169-5150(90)90002-I.
   Google Scholar
• Vyas, S., and L. Kumaranayake. 2006. “Constructing Socio-Economic Status Indices: How to Use Principal Components Analysis.” Health Policy and Planning 21 (6): 459–468. doi:10.1093/heapol/czl029.
   PubMed Web of Science ®Google Scholar
• Welch, B. L. 1947. “The Generalization of Student's Problem When Several Different Population Variances are Involved.” Biometrika 34 (1–2): 28–35. http://www.jstor.org/stable/2332510. doi: 10.1093/biomet/34.1-2.28
   PubMed Web of Science ®Google Scholar
• Williams, L. J., H. Abdi, R. French, and J. B. Orange. 2010. “A Tutorial on Multi-Block Discriminant Correspondence Analysis (MUDICA): A New Method for Analyzing Discourse Data From Clinical Populations.” Journal of Speech Language and Hearing Research 53: 1372–1393. doi:10.1044/1092-4388(2010/08-0141).
   PubMed Web of Science ®Google Scholar
• Wiredu, A. N., K. O. Gyasi, K. A. Marfo, S. Asuming-Brempong, J. Haleegoah, A. Asuming-Boakye, and B. F. Nsiah. 2010. “Impact of Improved Varieties on the Yield of Rice Producing Households in Ghana.” Second Africa rice Congress, Bamako, Mali, March 22–26, 2010: Innovation and Partnerships to Realize Africa’s Rice Potential.
   Google Scholar
• World Bank. 2011. Agricultural Innovation Systems: An Investment Source Book. Washington, DC: The World Bank.
   Google Scholar