Off-Farm Labor Supply and Correlated Shocks: New Theoretical Insights and Evidence from Malawi
Summary (3 min read)
Introduction
- The main focus of this literature is on the choice between safer, although low return ðsubsistenceÞ, cropping activities and riskier, although higher return, livestock and cash crop production.
- One of the most interesting and controversial phenomena in Malawi, consistent with the existence of a dualistic agricultural sector, is ganyu—low-skill off-farm labor, traditionally described as either a form of exploitation of the poor by the rich ðBryceson 2006Þ or a low-risk and low-return diversification strategy of poor subsistence farmers, which eventually drives them further into poverty ðWhiteside 2000Þ.
II. The Ganyu Market: Theoretical Framework and Hypotheses
- In period 1 the farmer has to prepare the field, and in period 2 the farmer realizes the value from cultivation.
- While the commercial crop cannot be consumed directly, it can be sold in the market, generating purchasing power for the farmer who can then buy subsistence goods from the market.
- The other important element in their model is the timing of the realization of the risk.
- While the uncertainty regarding the commercial crop is not resolved in period 1, when farmers decide on the period 1 investment in land, the uncertainty is resolved at the beginning of period 2, or before the production of the commercial crop happens.
- In other words, once the uncertainty is resolved, the farmer has a choice of continuing with production or abandoning it and offering to be hired out in the labor market ðbecoming a ganyu laborerÞ rather than working on her own farm.
A. Production of Staple Crop
- There are two periods in the production process.
- Family labor can work on the farm or hire itself out at the market wage.
- The profit, or in their case the rent from land, is the net value of the staple crop—revenue minus the labor cost.
- For simplicity, the authors will assume that the farmer has enough liquidity to pay for hired labor in period 1.
- Second, since the authors are calculating the net income in period 2, the family labor component always gets “paid” ði.e., is subtracted as other wage-related costÞ.
B. Production of Commercial Crop
- There are two major differences between the staple crop and the commercial crop.
- First, the commercial crop technology is more sophisticated than the staple crop technology.
- More specifically, for a given plot of land, the greater the intensity of labor use on the land in period 1, the greater the productivity in period 2.
- What this implies is that on receiving the signal about the low state, the farmers have to abandon their decision to produce the commercial crop.
- She can earnw2F by using her family labor in the ganyu market.
C. The Aggregated Economy
- Any region will have a distribution of farmers distinguished from each other by the amount of land they hold.
- Given the productivity of land in the region, the prices, the wages, and the technology, farmers make their decisions.
- Similarly, from equation ð12Þ, the authors can get a value of T for the commercial farmers such that all farmers below this amount of landholding will supply labor in the first-period labor market.
- Thus, all farmers can successfully predict the wage once they observe the signal, and this prediction will be self-fulfilling in equilibrium.
- In good states of nature ðno negative shocksÞ, ganyu will be supplied primarily by poor farmers ðsimply because they need less of their family labor on their own landÞ, whereas large farmers will demand ganyu.
IV. Empirical Specification
- To recapitulate, the authors distinguish between hypotheses related to ðAÞ times of shock and ðBÞ normal times, that is, once the event of negative shocks is controlled for: 2 Agricultural but “urban” households constitute 6.3% of the households in their sample.
- To test these hypotheses, the authors perform the empirical analysis first for the full sample, focusing on the characteristics of ganyu in general and on whether ganyu is primarily supplied by small farmers ðhypothesis BÞ, and then separately for small and large farmers ðhypotheses AÞ.
- Apart from these main variables capturing the central predictions of their theoretical model, the authors consider a number of controls, which mainly reflect the farmer’s agricultural productivity, wealth characteristics, and geographic characteristics.
- Since the human capital characteristics of household members are typically highly correlated and the measures for the household head are less likely to be endogenous ðRizov and Swinnen 2004Þ, the authors give preference to the former and define their educational indicator as the years of education and the experience indicator as the age of the household head.
- In addition, the authors include dummy variables for the most important ethnic groups, the Chewa, mainly in central Malawi, and the Lomthey and Yao in the south ðsee, e.g., CIA 2012; Malawi Government 2014Þ.
V. Econometric Estimation Strategy and Empirical Results
- As the number of days of ganyu, supplied by the household, cannot be smaller than zero, their dependent variable is censored.
- To confirm that this is the case empirically, the authors perform likelihood ratio tests to discriminate between the two options.
- Instead, the authors present the marginal effects with respect to the expected number of days of ganyu supply, that is, for any explanatory variable xj with coefficient bj ðWooldridge 2002, 523Þ: yEðganyu daysjxÞ yxj 5 F xb j bj 5 Prðganyu days > 0jxÞbj: Before they present the results, a few additional estimation problems need to be considered.
- First, their data are drawn from a stratified random sample, so that observations within strata may not be fully independent.
- The authors now turn to the ðkey to their analysisÞ comparison across different land sizes to examine whether they find the predicted differences between small and large farmers for the correlated shocks.
VI. Concluding Remarks
- The occupational portfolio choice of small farmers in uncertainty ridden rural environments is among the most interesting and high profile areas of research and policy debate in development economics.
- By contrast, the literature on consumption smoothing via off-farm labor supply has focused on the ability of the market to absorb excess labor in the event of idiosyncratic production shocks, as well as on distributional issues linked to asset-based entry barriers for poor farmers in this market.
- This has left out of focus the intriguing case of labor market dynamics in the face of correlated shocks, as well as the interesting from a policy point of view situation of poverty exacerbation even when obvious entry barriers to factor markets are not present.
- The authors conceptual results, backed by evidence from Malawi, provide at least some grounds for rethinking policy advice.
- In such conditions, direct intervention as in the case of the National Rural Employment Guarantee Act in India could perhaps be a more viable policy agenda.
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Cites background from "Off-Farm Labor Supply and Correlate..."
...Workers can adapt to weather anomalies through sectoral reallocation (Kochar 1999; Rose 2001; Dimova et al. 2015; Mathenge and Tschirley 2015), migration (Barrios, Bertinelli, and Strobl 2006; Halliday 2006; Dillon, Mueller, and Salau 2011; Gray and Mueller 2012a,b; Marchiori, Maystadt, and Schumacher 2012; Gray and Bilsborrow 2013; Mueller, Gray, and Kosec 2014; Henderson, Storeygard, and Deichmann 2015), or human capital investment (Graff-Zivin, Hsiang, and Neidell 2015)....
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...Workers can adapt to weather anomalies through sectoral reallocation (Kochar 1999; Rose 2001; Dimova et al. 2015; Mathenge and Tschirley 2015), migration (Barrios, Bertinelli, and Strobl 2006; Halliday 2006; Dillon, Mueller, and Salau 2011; Gray and Mueller 2012a,b; Marchiori, Maystadt, and…...
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Q1. What are the contributions in "Off-farm labor supply and correlated shocks: new theoretical insights and evidence from malawi" ?
Dimova et al. this paper proposed new conceptual insights into the understanding of occupational choice in uncertain rural environments, with a focus on its ex ante and ex post ( after a shock ) consequences for farmers belonging to different portions of the asset distribution.