w88 casino News Network (provided by the w88 casino of Government)Recently, the research paper "The evolution of mandated coordination in policy implementation: Evidence from China's central government agencies" jointly completed by Assistant Professor Liu Weixing of the w88 casino of Government, Ma Liang, Professor of the w88 casino of Government of Peking University, Chen Bin, Professor of the Max w88 casino of Public and International Affairs at Baruch College of the City University of New York, and Tom Christensen, Emeritus Professor of the Department of Political Science at the University of Oslo, Norway, was published in Review of Policy Research. This article explores the structural characteristics and evolutionary logic of cross-sector cooperation networks for public policy implementation.
In recent years, Teacher Liu Weixing has conducted continuous research on the internal mechanisms and practical applications of network structure and performance from theoretical perspectives such as collaboration networks and policy innovation, and published many research papers.
[1] Ma, L.,Chen, B.,Christensen, T., & Liu, W.(2025).The evolution of mandated coordination in policy implementation: Evidence from China's central government agencies.Review of Policy Research.https://doi.org/10.1111/ropr.70003
Policies often require the joint implementation of multiple departments, and it is meaningful to explore the mechanisms and dynamics of inter-departmental coordination. This study uses structure-oriented theory in organizational theory to analyze archival data and examines the structure and dynamics of China's central interdepartmental coordination arrangements from 2005 to 2022. Due to their complexity, economic and social policies become the focus of coordination. The findings show that coordination is intensive but uneven, with strong departments dominating coordination. Results show that cross-departmental coordination increases steadily over time despite intensive agency mergers and integrations.
[2] Yi, H., Liu, W., & Ma, L. (2024). Designed networks and the emergence of self-organizing interlocal learning network: Evidence from Chinese cities. Public Administration, 102(1), 21-39. https://doi.org/10.1111/padm.12906
Self-organizing networks and designed networks are important topics in network research. However, the existing literature has explored them in isolation and paid limited attention to the relationship between them. And many studies on self-organizing networks and designed networks are based on Western country backgrounds. This article extends the network literature by analyzing the impact of designed networks on the formation of self-organized cross-regional learning networks in the Chinese context. Based on learning networks among 21 cities in Guangdong Province from 2015 to 2018, we found that connections embedded in design networks such as counterpart assistance networks and leadership transfer networks significantly promote the formation of self-organizing networks. These findings can contribute to the network literature by demonstrating the subtle influence of designed networks on the formation of self-organizing networks.
[3] Ma, L., Liu, W., Chen, S., & Christensen, T. (2024). Where you are matters: Network position, designed network, and central government agency termination. Public Administration. https://doi.org/10.1111/padm.13026
This study integrates insights from collaboration network theory and agency termination theory to explore how the position of ministry agencies in the design collaboration network affects their probability of survival. By using data on institutional changes in China's central ministries and commissions between 2005 and 2020, and a design network derived from 1,243 joint missions arranged by the State Council, we conduct an event history analysis to test the study's hypotheses. The research results show that if a ministry agency is at the center of the design network, it can significantly reduce the probability of the agency being terminated, while agencies at the edge of the design network are less likely to survive major institutional reforms. The study also found that more powerful institutions (such as those that are larger, have economic functions, or are legally created by legislative bodies) are more likely to benefit from a centralized design network position. These findings highlight the critical impact of ministry agencies' position in the design network on their prospects for survival. Therefore, ministry agencies should strategically improve their position in designing networks within the State Council's mandate to reduce the risk of their termination.
[4] Liu, W., & Yi, H. (2023). Policy diffusion through leadership transfer networks: Direct or indirect connections?. Governance, 36(2), 359-378. https://doi.org/10.1111/gove.12609
Change agents play an important role in the diffusion of policy innovations. Research has shown that change agents' career paths can facilitate innovation diffusion through network-based mechanisms such as portable innovation or policy wormholes, but has not fully distinguished the importance of direct and indirect connections inherent in leadership transfer networks. This study proposes the indirect portable innovation hypothesis and the indirect policy wormhole hypothesis to highlight the impact of indirect network connections in leadership transfer networks, thus extending the agent network diffusion (AND) model. The results confirm the impact of direct and indirect portable innovations as well as policy wormholes on the diffusion of policy innovations.
[5] Liu Weixing, Yi Hongtao. (2023). Local government network: Theoretical foundation and research frontiers. Public Administration Review, 16(3):181-194.
The local government network is a network of relationships formed between local governments or between local governments and other actors that help them perform their functions. It is a self-organizing solution for local government actors to solve collective action dilemmas. It plays an important role in the processes of public service supply and public affairs governance. The local government network has attracted extensive attention from many scholars and has achieved rich research results. The paper introduces and sorts out the concept and basic content of local government networks, related theoretical foundations, research traditions, and research frontiers. As an emerging research subfield of public administration research, local government network research has many theoretical and practical issues worthy of further exploration and development in the Chinese context. Based on the review of existing relevant research, the paper puts forward three suggestions for the study of local government networks in the Chinese context: First, it is necessary to strengthen relevant research on Chinese local government networks through rigorous empirical research designs; second, it is necessary to combine cutting-edge network theory with China's actual situation to propose a theoretical framework that can not only dialogue with international theories but also effectively explain China's local cooperation practices; third, future local government network research needs to regard different types of networks as different aspects of complex network relationship systems to analyze the mutual influence and evolution between these networks.
[6] Yi, H., Liu, W., & Li, F. (2021). Network structure and low-carbon governance performance: A qualitative comparative analysis. International Public Management Journal, 24(1), 23-46. https://doi.org/10.1080/10967494.2020.1851330
Network effectiveness is an important topic in network research. This study takes the low-carbon governance networks of 16 cities in my country as the research background and uses the fuzzy set qualitative comparative analysis (fs-QCA) method to explore the relationship between network structure, social capital and governance performance. The analysis reveals two paths leading to effective network governance and two paths leading to ineffective network governance. The results show that networks with both high bridging social capital and high bonding social capital, or with both high bridging social capital and low network load, are more likely to achieve governance effectiveness. If a network has low bonding social capital and high network load at the same time, or if it has high bonding social capital, low bridging social capital and high network load at the same time, it may show governance ineffectiveness.
