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A new methodology is introduced based on Bayesian network both to model domino effect propagation patterns and to estimate the domino effect probability at different levels. The flexible structure and the unique modeling techniques offered by Bayesian network make it possible to analyze domino effects through a probabilistic framework, considering synergistic effects, noisy probabilities, and common cause failures. Further, the uncertainties and the complex interactions among the domino effect components are captured using Bayesian network. The probabilities of events are updated in the light of new information, and the most probable path of the domino effect is determined on the basis of the new data gathered. This study shows how probability updating helps to update the domino effect model either qualitatively or quantitatively. The methodology is applied to a hypothetical example and also to an earlier‐studied case study. These examples accentuate the effectiveness of Bayesian network in modeling domino effects in processing facility.

The Common Agricultural Policy of the EEC is under increasing fire. Dr Blight applies 'Austrian' economic analysis to show that regulation of agriculture serves neither the efficient farmer nor the consumer.

The extent to which federal investment in research crowds out or decreases incentives for investment from other funding sources remains an open question. Scholarship on research funding has focused on the relationship between federal and industry or, more comprehensively, non-federal funding without disentangling the other sources of research support that include nonprofit organizations and state and local governments. This paper extends our understanding of academic research support by considering the relationships between federal and non-federal funding sources provided by the National Science Foundation Higher Education Research and Development Survey. We examine whether federal research investment serves as a complement or substitute for state and local government, nonprofit, and industry research investment using the population of research-active academic science fields at U.S. doctoral granting institutions. We use a system of two equations that instruments with prior levels of both federal and non-federal funding sources and accounts for time-invariant academic institution-field effects through first differencing. We estimate that a 1% increase in federal research funding is associated with a 0.411% increase in nonprofit research funding, a 0.217% increase in state and local research funding, and a 0.468% increase in industry research funding, respectively. Results indicate that federal funding plays a fundamental role in inducing complementary investments from other funding sources, with impacts varying across academic division, research capacity, and institutional control.

This paper uses a standard gravity equation to test the hypothesis of domino effects in Western Europe. The question being addressed is whether increased integration within the European Community (EC) has impacted negatively nonmembers &, thereby, prompted their application to EC membership. The paper finds that the deepening of integration inside the EC in the late 1980s may have created such effect on European Free Trade Assoc (EFTA) member countries. 1 Table, 2 Figures, 14 References. Adapted from the source document.

In this paper, I use a multi-scalar approach to understand the full repercussions of a national ban on the transnational practice of surrogacy in India. I use my ethnographic findings to analyse th...