Abstract
One of Daniel Hogan’s lasting impacts on international demography community comes through his advocacy for studying bidirectional relationships between environment and demography, particularly migration. We build on his holistic approach to mobility and examine dynamic changes in land use and migration among small farm families in Altamira, Pará, Brazil. We find that prior area in either pasture or perennials promotes out-migration of adult children, but that out-migration is not directly associated with land-use change. In contrast to early formulations of household life cycle models that argued that aging parents would decrease productive land use as children left the farm, we find no effect of out-migration of adult children on land-use change. Instead, remittances facilitate increases in area in perennials, a slower to pay off investment that requires scarce capital, but in pasture. While remittances are rare, they appear to permit sound investments in the rural milieu and thus to slow rural exodus and the potential consolidation of land into large holdings. We would do well to promote the conditions that allow them to be sent and to be used productively to keep families on the land to avoid the specter of extensive deforestation for pasture followed by land consolidation.
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Notes
The first phase of migration into the Amazon was primarily motivated by government policies aimed at preserving Amazonian sovereignty and reducing pressure for agrarian reform. Some studies suggested that the likelihood of a small farmer succeeding in the Amazon was much higher than in other parts of the country (FAO/UNDP/MARA 1992). The second phase of migration, rural–rural and rural–urban migration flows within the Amazon, added to the fast-growing local urban centers and reflected small-scale farmers diversifying their portfolio of capitals over space. This spatial diversification of capitals resulted in a growing number of multi-sited households in the region (Padoch et al. 2008).
Data from the Brazilian Demographic Census, for instance, reveal that inter-regional rural–rural migration (from elsewhere to the North Region) gave way to rural–urban, as well as urban–urban intra-regional migratory streams from the 1990s on (Hogan et al. 2008).
A strong test requires an analysis of the migration behavior of each individual adult child, examining the coordination or competition between them in both migration behaviors and remittances. Such analyses would distract from our primary focus on the bidirectional relationship between land use and migration. A strong test further requires detailed information about the income of migrants in their destinations, which is not present in our data.
We allowed the respondents to use their own definitions of urban and rural, but in cases where they asked, we used the definition of urban and rural used by IBGE (Brazilian Institute of Geography and Statistics). This defines the urban population as households or persons living in the areas corresponding to the municipality seats (urbanized or not) or villages (district seats). The rural population corresponds to the rest of population living in the other areas within the municipality political and administrative boundaries (IBGE 2010).
For those producing (only for sale), but with no information about the amount, we assigned them the same production as a randomly selected other respondent (selected from among others who produced that same product). For those with missing information about the price of products sold (including those for whom we imputed production values and those only missing information on prices), we assigned them the same price received by a randomly selected other respondent (selected from others who sold the same crop).
We lose 10 households from this sample of 277 because there was no information about property size and land use for 4 cases, 3 households had no children (and thus were not at risk of the out-migration of coresident children), and 3 had missing information about financial transfers from children.
We use SUR models to account for correlation among residuals of land use equations. This is the case when land use classes are measured within the same unit (property). Therefore, change in one land use will be correlated with change in the other land use classes (Guedes 2010).
We used a Heckman selection model (results available upon request) to test whether there was a significant correlation between land use in 2005 and selection into property size change. The Wald test of independence between outcome (land use/cover classes) and selection (change in property size) equations was not significant for the outcomes used.
The command for seemingly unrelated regression equations in Stata MP 11.0 (StataCorp 2009) does not allow for bootstrap standard errors, but it allows the use of an alternate divisor in computing the covariance matrix for the equation residuals, adjusted for small samples. When this option is chosen, a small-sample adjustment is made and the divisor is taken to be \( \sqrt {\left( {n - k_{i} } \right)\left( {n - k_{j} } \right)} \), where k i and k j are the numbers of parameters in equations i and j, respectively (StataCorp 2009).
In addition, there is evidence in our study area that the net financial transfers tend to be zero, followed by transfers from the household to the non-coresident children (Guedes et al. 2009b).
Estimated values hold the other variables from the Tobit model constant at their mean value.
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VanWey, L.K., Guedes, G.R. & D’Antona, Á.O. Out-migration and land-use change in agricultural frontiers: insights from Altamira settlement project. Popul Environ 34, 44–68 (2012). https://doi.org/10.1007/s11111-011-0161-1
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DOI: https://doi.org/10.1007/s11111-011-0161-1