This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Macro Trends And Determinates Of Fertilizer Use In Sub-Saharan Africa

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Nassem, Anwwar
Kelly, Valerie

Additional information is available for the following registered author(s):

Abstract

EXECUTIVE SUMMARY Objectives: To reverse the declining trends in soil fertility levels in Sub-Saharan Africa (SSA), the use of fertilizers and other land augmenting technologies needs to increase. While overall fertilizer consumption in SSA has increased by as much as 200% from 1970 levels, the growth has been highly variable across countries, regions and time. Fertilizer use is significantly lower than that observed in other parts of the developing world, especially Asia, where fertilizer (along with other productivity enhancing technologies) has been credited with the large increases in yields. Moreover data for the 1990s suggests that overall fertilizer consumption in SSA has been declining. Designing appropriate policies and interventions to stimulate fertilizer demand and supply, calls for a good understanding of past trends and factors that have been associated with changes in use. In this paper our objective is to seek a better understanding of the dynamics of fertilizer use,specifically with regards to: • the trends in fertilizer consumption at the continental, regional and country level. • the factors associated with changes in fertilizer use. Findings: On trends in fertilizer use • Aggregate figures for fertilizer consumption in SSA show a steady increase, measured in terms of both absolute levels (metric tons of fertilizer consumed) and dosage (kilograms per hectare of arable land). • Consumption of fertilizer in 1970 was 425 million metric tons and has increased at a rate of almost 36 thousand MT per year. • Fertilizer dosage (per cultivated area) rose from 3.3 kg/ha in 1970 to 9.9 kg/ha in 1995. • Notwithstanding the above figures, fertilizer use has been highly variable and concentrated among a few countries. • For the period 1991-1995, consumption varied from a low of 1.95 thousand MT for the Central African Region to a high of 16.55 thousand MT for Southern Africa. • For the same period, the four countries (Ethiopia, Kenya, Nigeria, and Zimbabwe) used 60% of all fertilizer in SSA, with Nigeria having accounted for the largest share. On key determinants affecting fertilizer use • The correlation analysis conducted in this paper found that fertilizer use per hectare was positively correlated with: • the amount of rainfall per year. This finding underscores the need to find seed/fertilizer technologies that are more responsive in the type of low moisture situation that characterizes much of SSA. • the density of road infrastructure. However the size and significance of the road density co-efficient has been declining over time, especially since the early 1980s. • the number of children in school (both primary and secondary). This suggests that investments in schooling may have indirect effects on stimulating fertilizer use (e.g., by improving human capital at the farm level and among those providing services to farmers). • the percentage of cultivated area devoted to cotton. Cotton production schemes have been used to introduce fertilizer to small farmers in a variety of SSA settings where the use has subsequently been expanded to other crops, particularly coarse grains. The lesson to be learned from this variable is not so much that cotton per se is the best way of getting fertilizer into the farming system, but that some type of cash crop scheme that provides farmers with reliable input, credit, extension, and output marketing services can play a significant role in promoting fertilizer adoption. • A number of factors that we expected to be highly correlated with fertilizer use per hectare did not exhibit statistically significant coefficients in the broad analysis usingdata from more than 30 countries. Among the most surprising were: Share of area cultivated in maize. This result is surprising as maize is generally considered the most significant user of fertilizer in SSA (accounting for about 25%of total use), and it is a crop that Desai and Gandhi (1988) found to be highly correlated with fertilizer use between 1979 and 1983. We believe the link between fertilizer use and maize production warrants careful monitoring in the future because maize is one of the most fertilizer responsive crops grown in SSA and it has been the crop of choice for introducing fertilizer to farmers in a number of recent extension efforts (e.g., the Sasakawa/Global 2000 programs). Share of cultivated area benefitting from irrigation. The lack of correlation between fertilizer use and percent of area irrigated is also a bit of an anomaly asthe irrigated production schemes we are familiar with in SSA (e.g., Mali's Office du Niger and the Senegal River Basin) use large quantities of fertilizer per hectare. It is possible that the total amount of irrigated area in SSA is so small that it is not possible to show a statistically significant relationship with the aggregated data covering so many diverse countries. Although our analyses provide some important insights into recent fertilizer use trends and determinants at an aggregated level, there are still many unknowns. A critical first step in developing a better understanding of factors that are driving fertilizer use at both the country and the regional level is improving the fertilizer data base in each country. Among the key improvements needed are better dis-aggregations by agroecological zone, crop, and type of fertilizer used. Data series on fertilizer prices by location and type of fertilizer would also be helpful. When these types of data become available at the country-level, both national and regional policy analysis will improve.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://purl.umn.edu/11465
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Michigan State University, Department of Agricultural, Food, and Resource Economics in its series Food Security III Papers with number 11465.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 1999
Date of revision:
Handle: RePEc:ags:midafs:11465

Contact details of provider:
Postal: 202 Agriculture Hall, East Lansing MI 48824-1039
Phone: (517) 355-4563
Fax: (517) 432-1800
Email:
Web page: http://www.aec.msu.edu/agecon/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (AgEcon Search).

Related research
Keywords: Crop Production/Industries;

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Weber, Michael T. & Pease, James & Vincent, Warren & Crawford, Eric W. & Stilwell, Thomas, 1983. "Microcomputers and Programmable Calculators for Agricultural Research in Developing Countries," Food Security III Papers 11308, Michigan State University, Department of Agricultural, Food, and Resource Economics. [Downloadable!]
    Other versions:
  2. Bumb, Balu & Baanante, Carlos A., 1996. "The role of fertilizer in sustaining food security and protecting the environment to 2020.:," 2020 vision discussion papers 17, International Food Policy Research Institute (IFPRI). [Downloadable!]
  3. Kelly, Valerie & Stevens, Robert D. & Stilwell, Thomas & Weber, Michael T., 1983. "An Annotated Directory of Statistical and Related Microcomputer Software for Socioeconomic Data Analysis," Food Security III Papers 11420, Michigan State University, Department of Agricultural, Food, and Resource Economics. [Downloadable!]
    Other versions:
  4. Jayne, T.S., 1993. "Sources And Effects Of Instability In The World Rice Market," Food Security III Papers 11288, Michigan State University, Department of Agricultural, Food, and Resource Economics. [Downloadable!]
  5. Boughton, Duncan & de Frahan, Bruno Henry, 1994. "Agricultural Research Impact Assessment; The Case Of Maize Technology Adoption In Southern Mali," Food Security III Papers 11428, Michigan State University, Department of Agricultural, Food, and Resource Economics. [Downloadable!]
    Other versions:
  6. Thomas Reardon & Valerie Kelly & Eric Crawford & Thomas Jayne & Kimseyinga Savadogo & Daniel Clay, 1996. "Determinants of Farm Productivity in Africa: A Synthesis of Four Case Studies," International Development Papers 22, Department of Agricultural Economics, Michigan State University. [Downloadable!]
    Other versions:
  7. Chembezi, Duncan M., 1990. "Estimating fertilizer demand and output supply for Malawi's smallholder agriculture," Agricultural Systems, Elsevier, vol. 33(4), pages 293-314. [Downloadable!] (restricted)
  8. Reardon, Thomas & Kelly, Valerie & Crawford, Eric & Jayne, Thomas & Savadogo, Kimseyinga & Clay, Daniel, 1996. "Determinants Of Farm Productivity In Africa: A Synthesis Of Four Case Studies," Food Security III Papers 11271, Michigan State University, Department of Agricultural, Food, and Resource Economics. [Downloadable!]
  9. Julie Howard (editor) & Eric Crawford (editor), 1997. "Final Report Workshop on Experiences and Options for Priority Setting in NARS, August 12-16, 1996, Nairobi, Kenya," International Development Working Papers 67, Department of Agricultural Economics, Michigan State University. [Downloadable!]
  10. Steve Haggblade & Carl Liedholm & Donald C. Mead, 1986. "The Effect of Policy and Policy Reforms on Non-Agricultural Enterprises and Employment in Developing Countries: A Review of Past Experiences," International Development Working Papers 27, Department of Agricultural Economics, Michigan State University. [Downloadable!]
    Other versions:
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Calisto Bias & Cynthia Donovan, 2003. "Gaps and Opportunities for Agricultural Sector Development in Mozambique," International Development Collaborative Working Papers MZ-MINAG-RR-54E, Department of Agricultural Economics, Michigan State University. [Downloadable!]
  2. Kydd, Jonathan & Dorward, Andrew & Morrison, Jamie & Cadisch, Georg, 2002. "Agricultural Development And Pro Poor Economic Growth In Sub Saharan Africa: Potential And Policy," ADU Working Papers 10920, Imperial College at Wye, Department of Agricultural Sciences. [Downloadable!]
  3. Reardon, Thomas & Kelly, Valerie & Yanggen, David & Crawford, Eric W., 1999. "Determinants Of Fertilizer Adoption By African Farmers: Policy Analysis Framework, Illustrative Evidence, And Implications," Staff Papers 11779, Michigan State University, Department of Agricultural, Food, and Resource Economics. [Downloadable!]
  4. James Nyoro & Joshua Ariga, 2004. "Preparation of an Inventory of Research Work Undertaken in Agricultural/Rural Sector in Kenya," International Development Collaborative Working Papers KE-TEGEMEO-WP-14, Department of Agricultural Economics, Michigan State University. [Downloadable!]
Statistics
Access and download statistics

Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".

This page was last updated on 2009-11-11.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.