Impacts of Farmer Inputs Support Program on Beneficiaries in Gwembe District of Zambia

Authors

  • Alfred Sianjase Ministry of Agriculture and Livestock Government of Zambia
  • Venkatesh Seshamani Professor of Economics University of Zambia, Lusaka, Zambia

Keywords:

input subsidy, maize production, quantile regression

Abstract

Since 2002, the Government of Zambia has been funding a farmer input subsidy program that consumes a very large part of the resources allocated to the Ministry of Agriculture and Livestock. This survey examines if the program is producing commensurate impacts on maize production by the farmers who benefit from the program. Data for the study was collected through a structured questionnaire administered to a sample of 600 farmers in Gwembe District. Though 600 copies of questionnaire were administered, 570 copies were recovered for analysis. Analysis was done using quantile regression at the 5th, 10th, 50th and 90th percentiles of the maize production distribution in two phases - with and without control for endogeneity. The analysis reveals that the largest production impact is on the farmers at the 50th percentile. There is also significant dependence on the subsidies by households at the 5th and 10th percentiles. These results cast doubt on the efficacy of the program to reduce poverty and improve household food security. The Zambian Government should target the program more selectively at the more responsive households in the median percentile.

 

References

Abrevaya, J. and Dahl, C. M. (2008). The Effects of Birth Input on Birth Weight: Evidence form Quantile Estimation on Panel Data. Journal of Business & Economic Statistics, 26(4), 379- 397.

Baltzer, K. (2012). Agricultural Input Subsidies in Sub-Saharan Africa. Copenhagen: ANIDA.

Chamberlain, G. (1996). Quantile Regression, Censoring and the Structure of Wages. In Sims, C. A. (ed). Advances in Econometrics. USA: Sixth World Congress, 171-205.

Crawford E., Kelly V. , Jayne T. S. and Howard J. (2003). Input Use and Market Development in SubSaharan Africa: An Overview. Food Policy, 28, 277-92.

Dorward, A. (2009). Rethinking Agricultural Input Subsidy Programmes in a Changing World. London: School of Oriental and African Studies.

Druilhe, Z. and J. Barrero-Hurle (2012). Fertilizer Subsidies in Sub-Saharan Africa. ESA Working Paper No. 12-04. Rome: Food and Agricultural Organization.

Gamper-Rabindran S., Khan S. and Timmins C. (2010). The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Regression Approach. Journal of Development Economics, 92, 188-200.

Kelly V., Crawford E. W. and Ricker-Gilbert J. (2011). The New Generation of African Fertilizer Subsidies: Panacea or Pandora's Box? Food Security Group Policy Synthesis, 87. Michigan: Department of Agricultural, Food and Resource Economics, Michigan State University.

Koenker, R. and Bassett Jr. G. (1978). Regression Quantiles. Econometrica, 46, 33-50.

Liverpool T., Saweda L. and Salau S. (2013). Spillover Effects of Targeted Subsidies: An Assessment of Fertizer and Improved Seed Use in Nigeria. Washington D.C.: International Food Policy Research Institute, IFPRI.

Mason, N. M. (2011). Marketing boards, Fertilizer Subsidies, Prices, & Smallholder Behavior: Modeling and Policy Implications for Zambia. PhD dissertation. Michigan: Department of Agricultural, Food, and Resource Economics, Michigan State University. East Lansing, Michigan.

Ministry of Agriculture and Livestock (2012). Farmer Input Support Programme Implementation Manual, 2012/2013 Agricultural Season. Lusaka: Ministry of Agriculture and Livestock

Mbozi, G. and Shawa, J. J. (2009). Report on Proposed Reforms for the Zambian Fertilizer Support Programme. Lusaka: Ministry of Agriculture and Co-operatives HQ.

Meteorological Department (2012). Rainfall Statistics. Gwembe: Meteorological Department, Gwembe District.

Ministry of Agriculture and Livestock (2012). Implementation Manual 2012/2013 Agricultural Season. Farmer Input Support Programme (FISP). Lusaka: Mulungushi House, Zambia.

Mundlak, Y. (1978). On the Pooling of Time Series and Cross Section Data. Econometrica, 46, 69-85.

Nicole, M. M. and Ricker-Gilbert, J. (April 2012). Disrupting Demand for Commercial Seed: Input Subsidies in Malawi and Zambia. Working Paper No. 63. Lusaka: Indaba Agricultural Policy Research Institute (IAPRI), Zambia.

Ricker-Gilbert J., Jayne T. S. and Chirwa E. (2011). Subsidies and Crowding Out: A Double-Hurdle Model of Fertilizer Demand in Malawi. American Journal of Agricultural Economics, 93 (1), 26-42.

Ricker-Gilbert, J. and Jayne, T. S. (2011). What are the Enduring Effects of Fertilizer Subsidy Programs on Recipient Farm Households? Evidence from Malawi. Staff Paper 2011-09; Michigan: Department of Agricultural, Food and Resource Economics, Michigan State University.

Republic of Zambia (2010). Statement by Hon. Dr. Eustarckio Kazonga MP, Minister of Agriculture and Cooperatives on the Farmer Input Support Programme in 2010. Lusaka: Ministry of Agriculture and Livestock.

Wooldridge, J. M. (2011). Econometric Analysis of Cross Section and Panel Data (2nd Edition). London: MIT Press.

Downloads

Published

2023-11-13

How to Cite

Sianjase, A., & Seshamani, V. (2023). Impacts of Farmer Inputs Support Program on Beneficiaries in Gwembe District of Zambia. Journal of Environmental Issues and Agriculture in Developing Countries (JEIADC), 5(1), 40–50. Retrieved from http://icidr.org.ng/index.php/jeiadc/article/view/222

Issue

Section

Articles