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Academic capitalism is a unique hybrid that unites the scientific search for truth and the economic maximization of profits. It turns universities into enterprises competing for capital accumulation and businesses into knowledge producers looking for new findings that can be turned into patents and profitable commodities. In order to understand what this new institutional setting means for science and the evolution of scientific knowledge, science as a field in a Bourdieusian perspective, which operates in the tension field between autonomy and heteronomy, is explored. On this basis, crucial features of academic capitalism and their impact on science as well as the evolution of scientific knowledge are described. Academic capitalism is located in the zone of the intersection of scientific research, economic profit maximization, and innovation policy. The institutional conflicts of interest involved in the corporate funding of academic research are addressed. The logic of academic capital accumulation is spelled out by describing the entrepreneurial university. Field effects of academic capital accumulation on science, namely over-investment at the top and under-investment among the rank and file, are examined, along with the organizational effects of academic capital accumulation in terms of managerial quality assurance on diversity and creativity as crucial prerequisites of advancing scientific knowledge. The main results of the analysis are summarized and some guidelines for future research are presented.
Accountability and responsibility are related ideas that are central to political, constitutional, and institutional arrangements in Western liberal democracies. However, political elites in non-democratic systems are generally not held accountable by citizens through such arrangements, and accountability is primarily a means of securing the compliance of state functionaries to the will of these elites. In liberal democracies the terms “accountability” and “responsibility” are often used in common discourse as if they were synonyms, but they are not. The former is a concept that embodies a number of different types, with a common theme of answerability by an accountor to an accountee, usually—but not necessarily—in a hierarchical relationship designed to ensure compliance and control. Responsibility, on the other hand, speaks of the associated but different domain of individual moral choice, where often conflicting duties of obligation are experienced by those in official positions. Beginning in the 1980s, the so-called new public management movement, which brought major changes to many Western systems of public administration, sought to enhance the accountability of public bureaucrats, especially their answerability to their elected political superiors. The effects have been mixed and uncertain, often with unintended consequences, such as the reinforcement of risk aversion and blame shifting and gaming behavior. The quest for accountability is inherently a political process, in which “holding to account” may often depend much less on any forensic determination of specific culpability and much more on evidential and political disputation, where the search for the “truth” is highly—and increasingly—contestable.
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Politics. Please check back later for the full article.
Paul Sabatier and Hank Jenkins Smith introduced the Advocacy Coalition Framework (ACF) in the late 1980s, to refine the theoretical and methodological tools available for the study of the policy process. In the past two decades, the framework has grown in use outside the United States, and it is now applied to study a broad range of policy arenas in all continents. ACF scholars have created a core community that regularly synthetizes findings from applications of the framework, giving the ACF the form of a true research program.
The ACF has three principal theoretical domains: advocacy coalitions, policy subsystems, and policy change. Expectations about the interactions between and within these domains are contained in 15 main hypotheses. The ACF posits that advocacy coalitions and policy subsystems are the most efficient way to organize actors interested in the policy process for empirical research. The policy subsystem is the main unit of analysis in the ACF, and there are four paths leading to policy change. The aspect that has received more attention in existing applications is the effect that external events have on policy change, and some areas in need of refinement include: policy-oriented learning, interactions across subsystems, the theoretical foundations to identification of belief systems, and how the interactions between beliefs and interests affect coalition behavior.
Jonathan Pierce and Katherine Hicks
The advocacy coalition framework (ACF) was developed to explain policy processes where contentious coalitions of actors seek to translate competing belief systems into public policy. Advocacy coalitions may include interest groups, members of the media, scientists and academics, and government officials that share beliefs about a public issue and coordinate their behavior. These advocacy coalitions engage in various strategies using resources to influence policy change or stasis. As part of this process, advocacy coalition members may learn within and/or across coalitions.
This framework is one of the most prominent and widely applied approaches to explain public policy. While it has been applied hundreds of times, in over 50 different countries, the vast majority of ACF applications have sought to explain domestic policy processes. A reason for the paucity of applications to foreign policy is that some ACF assumptions may not seem congruent to foreign policy issues. For example, the ACF uses a policy subsystem as the unit of analysis that may include a territorial dimension. Yet, the purpose of the territorial dimension is to limit the scope of the study. Therefore, this dimension can be substituted for a government body that has the authority or potential authority to make and implement foreign policy. In addition, the ACF assumes a central role for technical and scientific information in the policy process. Such information makes learning across coalitions more conducive, but the ACF can and should also be applied to normative issues, such as those more common among foreign policy research.
This article introduces the ACF; provides an overview of the framework, including assumptions, key concepts and theories, and transferability of the ACF to foreign policy analysis; and discusses four exemplary applications. In addition, it proposes future research that scholars should explore as part of the nexus of the ACF and foreign policy analysis. In the final analysis, the authors suggest the ACF can and should be applied to foreign policy analysis to better understand the development of advocacy coalitions and how they influence changes and stasis in foreign policy.
Jaclyn M. Johnson and Clayton L. Thyne
The devastating Syrian civil war that began after the Arab Spring in 2011 has reminded the international community of the many consequences of civil war. However, this conflict is simply one of many ongoing conflicts around the globe. Civil war has a number of effects on individual lives, the country experiencing the conflict, as well as the international system more broadly.
The humanitarian costs of civil war are steep. Individuals are negatively impacted by civil war in a myriad of ways. Three main areas of research are of interest: mortality, physical and mental trauma, and education. Several factors increase the number of deaths in a civil war, including a lack of democracy, economic downturns, and foreign assistance to combatants. Even if civilians survive conflict, they are likely to endure trauma that affects both mental and physical health. Strong evidence indicates that civil war spreads infectious diseases and severely diminishes life expectancy. Mental health is also likely to suffer in the face of conflict, as individuals often must overcome debilitating trauma. Finally, children are particularly susceptible in civil war settings. Children are often unable to continue their education as a consequence of civil war because combatants often target schools strategically or the state is unable to fund education as a result of funneling resources to the conflict.
Civil wars also pose a number of threats to the state itself. First, a state that has experienced a civil war is much more likely to have another civil war in its future. Conflict recurrence has been explained through the type of settlement that concludes the initial civil war, institutions that may prevent recurrence like proportional representation, and the role of third parties in providing peace-ensuring security guarantees. Beyond recurrence of war, scholars have looked at the impact that civil wars have on state-level institutions, including democratization. While most state-level effects of civil war seem to be deleterious, there may also be positive effects, specifically in terms of female representation. Civil war in sub-Saharan Africa has been shown to increase the number of female representatives, perhaps providing an avenue for gender equality.
Civil wars have ripple effects that impact neighboring countries and the international system more broadly. Proximate states are often challenged with an influx of refugees that may burden social programs or facilitate the spread of diseases and illicit arms. However, positive consequences of hosting refugees may include trading opportunities or economic growth from remittances. Moving beyond proximate states, civil wars have consequences for the entire globe. For example, civil wars have been demonstrated to spur international terrorism. The civil war literature has explored the various effects of conflict at the individual, state, and interstate level.
Elizabeth A. Lane and Ryan C. Black
The Supreme Court’s docket consists of thousands of cases each term, with petitioners hoping at least four justices will be compelled to grant review to their case. The decision to move a case from their docket to their calendar for oral arguments and all intermediate steps is what is known as the agenda-setting process. This is a fundamental step in the judicial process, as the Supreme Court cannot establish precedent and affect policy change without first deciding to review.
Thomas A. Birkland
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Politics. Please check back later for the full article.
Agenda setting is a crucial aspect of the public policy process. Sudden, rare, and harmful events known as focusing events can be important influences on the policy process. Such events can reveal current and potential future harms, mobilize people and groups to address the policy failures that may be revealed by such events, and open the “window of opportunity” for intensive policy discussion and potential policy change. But focusing events operate differently at different times and in different policy domains. While the idea of focusing events is firmly rooted in Kingdon’s “streams approach” to the policy process, focusing events are an important element of most contemporary theories of the policy process. But not every event works as a focusing event. The process by which a focusing event can yield policy change is complex and involves attention to the problems revealed by the event, as well as evidence of learning from the event on the part of policy makers. While focusing events are important, in many ways the concept remains underdeveloped, with few researchers seeking to understand the dynamics of these important events.
Agent-based computational modeling (ABM, for short) is a formal and supplementary methodological approach used in international relations (IR) theory and research, based on the general ABM paradigm and computational methodology as applied to IR phenomena. ABM of such phenomena varies according to three fundamental dimensions: scale of organization—spanning foreign policy, international relations, regional systems, and global politics—as well as by geospatial and temporal scales. ABM is part of the broader complexity science paradigm, although ABMs can also be applied without complexity concepts. There have been scores of peer-reviewed publications using ABM to develop IR theory in recent years, based on earlier pioneering work in computational IR that originated in the 1960s that was pre-agent based. Main areas of theory and research using ABM in IR theory include dynamics of polity formation (politogenesis), foreign policy decision making, conflict dynamics, transnational terrorism, and environment impacts such as climate change. Enduring challenges for ABM in IR theory include learning the applicable ABM methodology itself, publishing sufficiently complete models, accumulation of knowledge, evolving new standards and methodology, and the special demands of interdisciplinary research, among others. Besides further development of main themes identified thus far, future research directions include ABM applied to IR in political interaction domains of space and cyber; new integrated models of IR dynamics across domains of land, sea, air, space, and cyber; and world order and long-range models.
Over the past three decades, economic and political demographers, using various measures, have discerned that increased age-structural maturity makes significant statistical contributions to levels of per capita income, to educational attainment, to declines in the frequency of onsets of intrastate conflict, and to the likelihood of achieving and maintaining liberal democracy. Some of the stronger statistical relationships have been used in forecasts. For example, using the United Nations Population Division (UNPD) demographic projections, political demographers have relied on the strong statistical association between age structure and stable liberal democracy to forecast the rise of democracy in North Africa more than two years in advance (in 2008)—at a time when regional experts believed that forecast to be absurd.
Whereas critics remain skeptical of the murky causal connections of age-structural theory, its proponents counter that causality in the development of state capacity is complex and is less important than the theory’s positive qualities (namely, that it is forward-looking, its statistical findings are easily repeated, its forecasts have outcompeted regional experts, and its predictive products can be readily adapted to the needs of intelligence foresight, defense planning, and foreign policy analysis). Perhaps most important, the age-structural theory of state behavior has yielded a surprising number of “novel facts”—new knowledge concerning the observed pace and timing of state political, social, and economic behaviors.
Arno Tausch, Leonid Grinin, and Andrey Korotayev
In 1937, the Japanese economist Kaname Akamatsu discovered specific links between the rise and decline of the global peripheries. Akamatsu’s theory of development describes certain mechanisms whose working results in the narrowing of the gap between the level of development of the economy of developing and developed countries, and, thus, in the re-structuring of the relationships between the global core and the global periphery. Akamatsu developed his model on the basis of his analysis of the economic development of Japan before World War II, with a special emphasis on the development of the Japanese textile industry. Akamatsu’s catch-up development includes three phases: import of goods, organization of the production of previously imported products, and export of those goods. This model proved to be productive for analyzing the development of many other developing countries, especially in East Asia, making the theory of flying geese popular among the economists of these countries, as well as the whole world. The “flying geese” model produces certain swings that may be denoted as Akamatsu waves. Akamatsu waves may be defined as cycles (with a period ranging from 20 to 60 years) that are connected with convergence and divergence of core and periphery of the World System in a way that explains cyclical upward and downward swings (at global and national levels) in the movements of the periphery countries as they catch up with the richer ones.