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Manufacturing plant closure has been the subject of much national concern, and an extensive literature principally focused on the developed world. This study extends the findings on plant closure with an analysis of export-oriented manufacturers (maquiladoras) in Mexico, 1996–2006. The foci of this research are hypothesised variables of maquiladora closure: product manufactured (value-added), size of plant, plant location, and size of urban place. The results of a logistical regression model indicate that plant size and value-added are highly probable determinants of plant closure; large, high value-added product maquiladoras have low rates of plant closure. Maquiladoras manufacturing low value-added products have high rates of closure; however, these manufacturers also have significant numbers of surviving plants. This suggests that multiple manufacturing platforms are viable among Mexico’s export-oriented industry. The findings also suggest that much plant closure is a result of exogenous factors,exiting plants in a global search for cheap labour. Mexico, however, has a geographic comparative advantage that, for many maquiladoras, trumps wages in more distant locations.  相似文献   
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Aerial bombardment has been an important component of counterinsurgency practice since shortly after it became a viable military technology in the early twentieth century. Due to the nature of insurgency, bombing frequently occurs in and around settled areas, and consequently it tends to generate many civilian casualties. However, the effectiveness of bombing civilian areas as a military tactic remains disputed. Using data disaggregated to the level of the smallest population unit and measured at multiple points in time, this article examines the effect of aerial bombardment on the pattern of local control in the Vietnam War. A variety of estimation methods, including instrumental variables and genetic matching, show that bombing civilians systematically shifted control in favor of the Viet Cong insurgents.  相似文献   
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Two challenges stand out in the study of deliberation: the development of appropriate methodological tools and the development of more unified analytical frameworks. On the one hand, analysing deliberative processes is demanding and time‐consuming; hence we tend to have only few and non‐randomly selected cases at the group or context level. In addition, the real world of deliberation presents us with a complex matrix of nested, cross‐classified, and repeated speakers. This article shows that Bayesian multi‐level modelling provides an elegant way to tackle these methodological problems. On the other hand, we attempt to enrich comparative institutionalism with individual characteristics and psychologically relevant variables (such as group composition). Focusing on Swiss and German parliamentary debates we show that institutional factors ‐ in particular, consensus systems ‐, the gender composition of committees and plenary sessions, and age matter for the quality of deliberation. Furthermore, we also show that partisan affiliation ‐ government or opposition status of MPs ‐ affects deliberative quality and can refine institutional arguments. We conclude that a multi‐level approach to deliberation focusing on contextual and actor‐related characteristics and using Bayesian hierarchical modelling paves the way toward a more advanced understanding ‐ and methodological handling ‐ of deliberative processes.  相似文献   
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