Part of the rationale for the North American Free Trade Agreement was that it would increase trade and foreign direct investment (fdi) flows, creating jobs and reducing migration to the United States. Since poor data on illegal migration to the United States make direct measurement difficult, data on migration within Mexico, where census data permit careful analysis, are used instead to evaluate the mechanism behind predictions on migration to the United States. Specifications are provided for migration within Mexico, incorporating measures of cost of living, amenities, and networks. Contrary to much of the literature, labor market variables enter very significantly and as predicted once possible credit constraint effects are controlled for. Greater exposure to fdi and trade deters outmigration, with the effects working partly through the labor market. Finally, some tentative inferences are presented about the impact of increased fdi on Mexico–U.S. migration. On average, a doubling of fdi inflows leads to a 1.5–2 percent drop in migration.
This article employs established techniques from the spatial economics literature to identify regional patterns of income and growth in Mexico and to examine how they have changed over the period spanned by trade liberalization and how they may be linked to the income divergence observed following liberalization. The article first shows that divergence has emerged in the form of several income clusters that only partially correspond to traditional geographic regions. Next, when regions are defined by spatial correlation in incomes, a “south” clearly exists, but the “north” seems to be restricted to the states directly on the U.S. border and there is no “center” region. Overall, the principal dynamic of both the increased spatial dependency and the increased divergence lies not on the border but in the sustained underperformance of the southern states, starting before the North American Free-Trade Agreement, and to a lesser extent in the superior performance of an emerging convergence club in the north-center of the country.
1 July 2003 in International Regional Science Review
The authors bring together two strands of the empirical literature and analyze the geography of the regional economic performance of the states of the Brazilian Federation from 1939 to 1998. Using tools from spatial statistics, they examine the spatial dependence of regional per capita income in Brazil during the past six decades. They also examine the role of geography in explaining economic growth patterns using intradistribution dynamic tools based on Markov transition matrices and stochastic kernels in a discrete and a continuous framework. The analyses reveal the existence of two spatial clusters in Brazil, a low-income cluster in the northeast and a high-income cluster in the southeast. Moreover, the spatial pattern of economic growth in Brazilian states cannot be viewed without accounting for spatial spillovers. The authors show that states with relatively rich neighbors have a greater chance of being prosperous.