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By Quan Li

During this e-book, Quan Li and Rafael Reuveny mix the social medical strategy with a vast, interdisciplinary scope to handle the most interesting and significant political, monetary, and environmental problems with our instances. Their publication employs formal and statistical how to research the interactions of monetary globalization, democratic governance, source of revenue inequality, fiscal improvement, army violence, and environmental degradation. In doing so, Li and Reuveny move a number of disciplinary obstacles, interact a number of educational debates, deliver the insights from compartmentalized our bodies of literature into direct discussion, and discover coverage tradeoffs in a growingly interconnected political-economic-environmental method. They convey that growing to be interconnectedness within the worldwide process raises the calls for on nationwide leaders and their advisors; academicians and coverage makers might want to go disciplinary limitations in the event that they search to higher comprehend and deal with the coverage tradeoffs of much more advanced methods than those investigated the following.

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Additional info for Democracy and Economic Openness in an Interconnected System: Complex transformations

Example text

We seek to detect generalizable empirical patterns in the effect of globalization on democracy. As noted, democracy is conceptualized as a continuum. Four national aspects of globalization are examined: trade openness, foreign direct investment (FDI) inflows, portfolio (financial) investment inflows, and the spread of democratic ideas. Our analysis in this chapter covers 127 countries from 1970 to 1996 in a pooled time-series cross-sectional statistical model. Our primary findings can be summarized as follows.

4. 90 Note: Standard errors in parentheses. ∗ significant at 10%; ∗∗ significant at 5%; ∗∗∗ significant at 1%. second sample includes only LDCs. The findings for the so-called control variables are consistent with those in previous studies in the democratization literature. This general pattern provides support for our statistical modeling. To sharpen our presentation, we delegate the discussion of control variables to the chapter appendix and focus on the findings of the globalization variables instead.

Ignoring this possibility can produce incorrect results. We deal with this risk by using the first lag of the right-hand-side variables, as denoted by the subscript t −1 in the model. The third issue concerns sample selection. We take the approach of largeN studies, employing a sample for many countries, where each country is represented by yearly data. More specifically, our sample includes 127 countries from 1970 to 1996. The unit of analysis is the country year. Such a sample design allows us to assess the effect of globalization on democracy over time and across countries and to generalize the inferred results across cases.

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