Universal Journal of Agricultural Research 9(6): 289-298, 2021 http://www.hrpub.org DOI: 10.13189/ujar.2021.090607 Econometric Analysis of Agricultural Intensification Techniques of Household Farmers in Nigeria Osuji E. E. 1,* , Onyeneke R. U. 1 , Balogun O. L. 2 , Tim-Ashama A. C. 3 , Onyemauwa C. S. 4 , Praise N. C. 5 , Azuamairo G. C. 1 , Amadi M. U. 1 , Obi J. N. 1 , Ibekwe C. C. 4 , Obasi I. O. 6 , Njoku C. L. 1 , Izuogu C. U. 1 , Ebe F. E. 6 , Ugochukwu G. C. 7 1 Department of Agriculture, Alex-Ekwueme Federal University Ndufu Alike, Abakaliki, Nigeria 2 Department of Agricultural Economics and Extension, Babcock University, IIishan-Remo, Nigeria 3 Department of Agricultural Science, Alvan Ikoku Federal College of Education, Owerri, Nigeria 4 Department of Agricultural Economics, Federal University of Technology Owerri, Imo State, Nigeria 5 Department of Cooperative Economics and Management, Institute of Management and Technology, Enugu, Nigeria 6 Department of Agricultural Economics, Michael Okpara University of Agriculture, Abia State, Nigeria 7 Department of Agricultural Technology, Federal Polytechnic Nekede, Owerri Imo State, Nigeria Received July 26, 2021; Revised September 15, 2021; Accepted October 17, 2021 Cite This Paper in the following Citation Styles (a): [1] Osuji E. E., Onyeneke R. U., Balogun O. L., Tim-Ashama A. C., Onyemauwa C. S., Praise N. C., Azuamairo G. C., Amadi M. U.1, Obi J. N., Ibekwe C. C., Obasi I. O., Njoku C. L., Izuogu C. U., Ebe F. E., Ugochukwu G. C. , "Econometric Analysis of Agricultural Intensification Techniques of Household Farmers in Nigeria," Universal Journal of Agricultural Research, Vol. 9, No. 6, pp. 289 - 299, 2021. DOI: 10.13189/ujar.2021.090607. (b): Osuji E. E., Onyeneke R. U., Balogun O. L., Tim-Ashama A. C., Onyemauwa C. S., Praise N. C., Azuamairo G. C., Amadi M. U.1, Obi J. N., Ibekwe C. C., Obasi I. O., Njoku C. L., Izuogu C. U., Ebe F. E., Ugochukwu G. C. (2021). Econometric Analysis of Agricultural Intensification Techniques of Household Farmers in Nigeria. Universal Journal of Agricultural Research, 9(6), 289 - 299. DOI: 10.13189/ujar.2021.090607. Copyright©2021 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract Agriculture is the principal source of income for the majority of Nigerian rural households, but it has suffered significant setbacks in recent years, resulting in lower productivity and returns on investment. The study looked at the econometric analysis of household farmers' agricultural intensification strategies in Imo State, Nigeria. With the help of standardized questionnaires, 198 household farmers were selected using a multi-stage sample technique. The Beta regression model and descriptive statistics were used to analyze the data collected. Cassava, maize, and pumpkin leaves had the highest average outputs of 88.712kg, 87.901kg, and 85.990kg, respectively, which dominated the entire production cycle. Planting materials, soil nutrients, and land improvement activities cost the most, at N81.637.75, N74, 402.82, and N71, 906.80, respectively. At 1% and 5% levels, the coefficients of age, sex, education, net farm income, farm size, extension contacts, and farming experience were statistically significant and influenced the intensification of sustainable agricultural techniques (SAT) in the area. The study recommends farmers to embrace effective and long-term agricultural technologies in order to boost farm production and output. Extension personnel should also meet with household farmers on a regular basis to communicate important information about new technologies. Keywords Agriculture, Intensification, Improved Soil Techniques, Beta Regression Model 1. Introduction Food will be produced for a global population of 9.1 billion people in 2050, according to [1]. To accomplish this, agricultural production systems need to be altered to maximize the productive capabilities of household farmers, who make up of around 80% of the agricultural workforce [2]. With today's population, however, it's critical to figure out which technology and strategies are best for reaching this goal. As a result, more attention has been paid to the