Something New or More of the Same in the Bidding Wars for Big Business?

The economic downturn that began in 2007–2008 was blamed by some commentators on neoliberalism and pro‐business policies. So we might expect U.S. state and local governments to have responded with policy changes affecting their neoliberal economic development strategies. Based on this assumption, this paper is a theoretically informed examination of recent high‐profile bidding wars in Wisconsin. The highest profile example was in 2009 when General Motors chose a plant in Michigan over Wisconsin and Tennessee for a new small car line. Wisconsin's Commerce Secretary characterized Michigan's $1.2 billion incentive offer as “absolutely crazy” (compared with his state's $409 million offer!). My main research question is how have Wisconsin state and local governments adjusted their neoliberal economic development efforts in these bidding wars given the recent economic downturn and weak economy? This paper uses the largest incentive offers in Wisconsin during the tenure of the current and previous state governors within the context of ten themes drawn from the literature to problematize the neoliberal policy of bidding for big business. It concludes by considering the implications for economic development policies.     

Research and Design for Agent-Based Distributing Computation Structure of Local Government Financial Risk Budget Edit System

Keeping away and eliminating financial risk is one of the main tasks of every rank government. To solve the problem of local financial risk, a method that constructs a Multi-agent system to edit local financial risk budget is presented. Categorizing the owns of government that give rise to local financial risk, scheming four owns agents, scheming cooperative agent and some auxiliary agents to constitute the system are also proposed. Meanwhile, the agent-based distributing computation structure of the system is given, and the basic structure of agent and the cooperation mechanism of those agents are discussed.