From Competition to Collaboration
Intergovernmental Economic Development Policy Networks
Bibliographic Data
| ID | 6301661 |
|---|---|
| Authors | Youngmi Lee (0000-0002-2456-4578, Kyonggi University, corresponding author) |
| Year | 2016 |
| Volume | 42 |
| Issue | 2 |
| Pages | 171-188 |
| Publication date | 2016-03-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Local Government Studies (JOURNAL) |
| Journal identifiers | ISSN: 0300-3930 • E-ISSN: 1743-9388 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03003930.2015.1096267 |
| OpenAlex | W2288807245 |
| Language | EN |
| Citations received | 12 |
| References cited | 37 |
This study investigates the strategic collaboration among local jurisdictions in the competitive environment: how fragmented jurisdictions in a metropolitan area perceive each other as cooperative partners and what factors influence the establishment of collaborative relationships between them. To answer the research questions, we applied the Institutional Collective Action (ICA) framework, which assumes that institutional actors behave in ways such that their economic benefits are maximised and risks and costs of collaboration are minimised, and employed the exponential random graph (ERG) model, one of the statistical social network analyses. The results indicate that the physical, political and geographical similarities among municipalities positively influence collaboration among local jurisdictions. In addition, municipalities are more likely to prefer to establish the closed network relationship such as triad–triplet. This study allows to understand the mechanism to establish collaborative behaviour among local jurisdictions for their regional economic development in a metropolitan area
Business · Collective action · Competition (biology · Economic geography · Economics · Exponential random graph models · Geography · Graph · Metropolitan area · Political science · Politics · Public economics · Random graph · Regional science · Sociology · Local Government Finance and Decentralization · Public Policy and Administration Research · Social Capital and Networks
Hierarchical interventions and environmental collaboration among municipal governments
Cooperating on Urban Sustainability
Bridging or bonding? A two-mode network study in top-down and bottom-up inter-municipal environmental collaborations in China
What Influences Collaborative Relationships between Central and Local Governments? Empirical Evidence from South Korea
A win–win strategy for environmental governance – role of exogenous personalised gains
Regional tailor‐made policy making in trade licensing administration—case of Slovakia
Factors driving inter-municipal cooperation in the African Metropolis
Updating the Institutional Collective Action Framework
Don’t push too hard. Examining the managerial behaviours of local authorities in collaborative networks with nonprofit organisations
Assessing the intensity of cooperation
Problem Severity, Collaborative Stage, and Partner Selection in US Cities
Does voluntary cooperation in member state implementation require top‐down steering? The case of regional policy in Switzerland
Economic Action and Social Structure
Self-Organizing Federalism
Managing Legitimacy
Social Capital in the Creation of Human Capital
Social Movements and Networks
The American Community Survey
Closure, connectivity and degree distributions
An introduction to exponential random graph (p*) models for social networks
Competitors and Cooperators
Metropolitan Governance and Institutional Collective Action
Interorganizational Collaboration Networks in Economic Development Policy
Form of Government, Administrative Organization, and Local Economic Development Policy
Watershed Partnerships and the Emergence of Collective Action Institutions
Bowling Alone
Keiretsu Networks in the Japanese Economy
Social Capital and Finding a Job
Birds of a Feather
Origins of Homophily in an Evolving Social Network
Where Do Interorganizational Networks Come From
| Citations per year | 1.2 |
|---|---|
| Citation span | 2016 - 2026 (11) |
| Highly cited | No |