With the development of political science, policy network analysis has become an important field for scholars to study the interaction between government and society. This theory not only focuses on the interactions between government departments, but also explores the process of participation of all sectors of society in public policy making, attempting to understand how these complex relationships shape the outcomes of public policies.
Policy networks are defined as formal and informal connections between governments and other actors that are structured around shared beliefs and interests that are continually negotiated in public policy making and implementation.
Scholars have proposed various types of policy networks. Early theory focused on models such as policy communities and issue networks. Policy communities are relatively stable networks, usually composed of bureaucrats, politicians and interest groups. In contrast, issue networks are composed of a large number of stakeholders who participate in different forms, including non-governmental interest representatives and experts and scholars. However, their membership is unstable and it is difficult to identify the dominant role.
The role of policy network analysis has expanded as it has evolved, with scholars providing descriptive, theoretical, and suggestive insights. Descriptive research usually focuses on phenomena such as government interest mediation in policy making, analysis of inter-organizational collaboration, and governance.
Policy networks are often used to identify the key actors that influence government decision-making.
In theory, the power dependence model and the rational choice model are important ways to analyze policy networks. The former focuses on the exchange of resources between organizations, while the latter emphasizes how actors use resources to exchange interests under relatively stable structural arrangements.
The suggestive literature explores how policy networks influence government behavior and may be targets for reform policies. This includes management styles that focus on changing dependencies, establishing institutional rules, and promoting communication.
As policy network analysis continues to advance, there has been debate over theories of how to predict specific network and policy outcomes. Some scholars are skeptical about this, while others try to explore the dynamics of policy network changes.
ConclusionIn summary, policy network, as an analytical tool, can help us better understand the complex relationship between government and society and reveal the potential forces that influence the policy-making process. However, in such interactions, can we clearly identify which actors are the real influencers?