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Determinant Factors and their Coping Strategies of Cassava Production of Farm Households: The Case of Amaroworeda in Southern Nations, Nationalities and Peoples Regional State of Ethiopia

Select Volume / Issue:

• Volume 5,Issue 4,July 2018

Year:

2018

Type of Publication:

Article

Keywords:

Cassava, Determinant Factors, Copping Strategies, Multiple Linear Regressions

Authors:

• Legesse, Zemach Lemecha

Journal:

IJIRES

Volume:

5

Number:

4

Pages:

367-376

Month:

July

ISSN:

2349-5219

BibTex:

@article{1288, author = "Zemach Lemecha Legesse", abstract = "This study assessed the extent of cassava production, evaluated its determinant factors and their coping strategies on the households in Amaro Woreda, Southern Ethiopia. Both primary and secondary data were used for the study. Primary data were collected from the sample of 100 respondents drawn from both 67 cassava producer and 33 non-producer households. Descriptive statistics and econometric model were employed for data analysis. The descriptive statistics result showed those socio-economic, institutional characteristics and the coping strategies of the sample households for facing challenges. These copping strategies were revealed as 20%, 16%, 15%, 14%, 14%, 14%, 11% and 9% were using post harvesting technologies, using selected varieties, adopting newly introduced technologies, improving farming systems, changing plating dates, using chemical fertilizers and other interrelated mechanisms were the selected coping strategies respectively. The study employed also econometric model (The Multiple Linear Regression model) for estimating the determinant factors of cassava production. The model result revealed that three explanatory variables were significantly influenced the cassava production such as age of the household heads, educational level, family size or members of the sample households at 5% probability level", issn = "23495219", journal = "IJIRES", keywords = "Cassava, Determinant Factors, Copping Strategies, Multiple Linear Regressions", month = "July", note = "This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/", number = "4", pages = "367-376", title = "{D}eterminant {F}actors and their {C}oping {S}trategies of {C}assava {P}roduction of {F}arm {H}ouseholds: {T}he {C}ase of {A}maroworeda in {S}outhern {N}ations, {N}ationalities and {P}eoples {R}egional {S}tate of {E}thiopia", volume = "5", year = "2018", }

Note:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/

Abstract:

This study assessed the extent of cassava production, evaluated its determinant factors and their coping strategies on the households in Amaro Woreda, Southern Ethiopia. Both primary and secondary data were used for the study. Primary data were collected from the sample of 100 respondents drawn from both 67 cassava producer and 33 non-producer households. Descriptive statistics and econometric model were employed for data analysis. The descriptive statistics result showed those socio-economic, institutional characteristics and the coping strategies of the sample households for facing challenges. These copping strategies were revealed as 20%, 16%, 15%, 14%, 14%, 14%, 11% and 9% were using post harvesting technologies, using selected varieties, adopting newly introduced technologies, improving farming systems, changing plating dates, using chemical fertilizers and other interrelated mechanisms were the selected coping strategies respectively. The study employed also econometric model (The Multiple Linear Regression model) for estimating the determinant factors of cassava production. The model result revealed that three explanatory variables were significantly influenced the cassava production such as age of the household heads, educational level, family size or members of the sample households at 5% probability level

Full text: IJRIES_1288_FINAL.pdf Online version [Bibtex]