2013
DOI: 10.1016/j.jpolmod.2012.10.003
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Regional industrial growth in Mexico: Do human capital and infrastructure matter?

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Cited by 26 publications
(7 citation statements)
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“…For access to external markets, we calculate two complementary measures: the minimum travel time or the minimum travel cost to a major port and to the u.s. border. 26 To correct for the non-random placement of roads, we also instrument local accessibility by applying the doughnut approach (i.e., we instrument our road efficiency measure with a doughnut of efficient roads). Finally, we also run a cross-section regression where our infrastructure metric is instrumented by the 1949 efficient road length.…”
Section: The Effect Of Access To Infrastructure On Employment and Spementioning
confidence: 99%
“…For access to external markets, we calculate two complementary measures: the minimum travel time or the minimum travel cost to a major port and to the u.s. border. 26 To correct for the non-random placement of roads, we also instrument local accessibility by applying the doughnut approach (i.e., we instrument our road efficiency measure with a doughnut of efficient roads). Finally, we also run a cross-section regression where our infrastructure metric is instrumented by the 1949 efficient road length.…”
Section: The Effect Of Access To Infrastructure On Employment and Spementioning
confidence: 99%
“…Brock and Germán-Soto (2013) investigate the impact of human capital and infrastructure on industrial production in the states. Evidence on the impact of human capital is mixed but, in all cases, the results indicate that investment in infrastructure fails to generate positive returns.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Depreciated industrial capital stocks are estimated using data on real capital investment and employment by industry. These capital stock data have previously been employed in the context of an aggregate production function analysis to examine industrial dynamics across Mexican regions (Brock and Germán-Soto, 2013). This study utilizes industrial capital stock estimates produced using the methodology employed by Germán-Soto (2008) A further data-related issue concerns how to measure the transportation infrastructure capital and human capital variables that appear in Equation (1).…”
mentioning
confidence: 99%
“…Historians have instead focused on particular regions and/or the regional distribution of particular sectors, 3 and the aggregate study of regional inequality, which has often been approached through β-convergence and σ-convergence analyses, has usually been restricted to the most recent decades (see Esquivel, 1999;Sánchez-Reaza and Rodríguez-Pose, 2002;Chiquiar, 2005;Rodríguez-Oreggia, 2005;Carrion-i-Silvestre and German-Soto, 2007;Ruiz, 2010;Brock and Germán-Soto, 2013). 4 Moreover, even though these convergence studies are useful to understand regional inequality trends, they provide a highly simplified view of the historical evolution of regional income distribution process, as they totally ignore the spatial location component (Yamamoto, 2008).…”
Section: Introductionmentioning
confidence: 99%