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The Impact of a Feeder Road Project on Cash Crop Production in Zambia’s Eastern Province between 1997 and 2002, Labour Market and Fiscal Policy

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  • Christian K.M. Kingombe
  • Salvatore di Falco

    (Overseas Development Institute / Graduate Institute of International Studies / London School of Economics)

Abstract

This paper investigates the dynamic impacts of rural road improvements on farm productivity and crop choices in Zambia’s Eastern Province. There are several channels through which the feeder road improvements impact on farmers. Our aim is to estimate whether the differential outcomes in the five treatment districts and three control districts generated by the expansion of market agricultural activities among small to medium scale farmers could be explained by rural road improvements that took place after the new Chiluba MMD government in 1995 had completed an IMF rights accumulation programme bringing the principal marketing agent system to an end. Our district-level empirical analysis is an extension to the Brambilla and Porto(2005, 2007) cross-provincial level approach which proposes a dynamic approach accounting for entry and exit into the agricultural cotton sector to avoid biases in the estimates of aggregate productivity, when measuring productivity in agriculture applied to a repeated cross-sections of farm-level data from the Zambian post-harvest survey (PHS). Despite the limitations of the PHS data covering the period from 1996/1997 to 2001/2002 when the Eastern Province Feeder Road Project (EPFRP) was being implemented. The identification strategy relies on differences-in-differences of outcomes (i.e., cotton productivity) approach across two phases (pre-treatment and post-treatment). We use maize productivity to difference out unobserved household and aggregate agricultural year effects. Through our descriptive analysis we do find that changes in land allocation and in yields to Eastern Province’s most important cash crop – cotton did occur at the district level. However, it is difficult to conclude that these changes are linked directly to the improved accessibility obtained from the implementation of the EPFRP based on our differences-in-differences estimator or our Tobit model.

Suggested Citation

  • Christian K.M. Kingombe & Salvatore di Falco, 2012. "The Impact of a Feeder Road Project on Cash Crop Production in Zambia’s Eastern Province between 1997 and 2002, Labour Market and Fiscal Policy," IHEID Working Papers 04-2012, Economics Section, The Graduate Institute of International Studies, revised 28 Feb 2012.
    • Handle: RePEc:gii:giihei:heidwp04-2012
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    References listed on IDEAS

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    Cited by:

    1. Christian K.M. Kingombe, 2012. "The Linkage between Outcome Differences in Cotton Production and Rural Roads Improvements - A Matching Approach," IHEID Working Papers 12-2012, Economics Section, The Graduate Institute of International Studies.

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    More about this item

    Keywords

    Impact evaluation; Cash crop choice; Cotton productivity; Africa; Zambia (Eastern Province).;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D2 - Microeconomics - - Production and Organizations
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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