A review of introductory international relations, international studies, and global studies textbooks reveals that each field defines itself differently: one in terms of its central focus on the diplomatic and strategic relations of states, the second more broadly by including transnational transactions of all kinds, and the third focusing on globalization as both an object of analysis and a lens through which to view nearly all phenomena. However, in reading past the definitional chapters there are clear overlaps—most notably with regard to each introductory textbook’s treatment of globalization. Close examination of recently published introductory textbooks and those well into multiple editions reveals that globalization is treated as a fundamental aspect of each of the three fields. While both International Relations (IR) and International Studies (IS) scholars have contributed significantly to further broadening of both IR and IS in order to become increasingly “global,” other scholars have moved to create a new field of study called Global Studies (GS). This new field of GS developed in the 1990s as scholars from multiple disciplines began to study the many dimensions of globalization. While globalization remains an essentially contested concept, most scholars accept as uncontroversial that it refers to the many strings that connect the world such that pulling on one string in one place will make a change somewhere else. Globalization’s central dynamics include interconnectivity, reconfiguration of space and time, and enhanced mobility. GS is the only field that places the contested concept of globalization at the center of its intellectual initiative.
Spatial and Temporal Interdependence
Michael Colaresi and Jude C. Hays
Time and space are two dimensions that are likely to provide the paths—either singly or in tandem—by which international policy decisions are interdependent. There are several reasons to expect international relations processes to be interdependent across space, time, or both dimensions. Theoretical approaches such as rational expectations models, bureaucratic models of decision-making, and psychological explanations of international phenomena at least implicitly assume—and in many cases explicitly predict—dependence structures within data. One approach that researchers can use to test whether their international processes of interest are marked by dependence across time, space, or both time and space, is to explicitly model and interpret the hypothesized underlying dependence structures. There are two areas of spatial modeling at the research frontier: spatial models with qualitative and limited dependent variables, an co-evolution models of structure and behavior. These models have theoretical implications that are likely to be useful for international relations research. However, a gap remains between the kinds of empirical models demanded by international relations data and theory and the supply of time series and spatial econometric models that are available to those doing applied research. There is a need to develop appropriate models of temporal and spatial interdependence for qualitative and limited dependent variables, and for better models in which outcomes and structures of interdependence are jointly endogenous.