Governance of Water-Energy-Food Nexus: A Social Network Analysis Approach to Understanding Agency Behaviour

Kurian, Mathew; Portney, Kent E.; Rappold, Gerhard; Hannibal, Bryce; Gebrechorkos, Solomon H.

doi:10.1007/978-3-319-75163-4_6

Cited by 25 publications

(16 citation statements)

References 24 publications

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“…There is structural equivalence to a certain extent between the nodes in the same module/group. The higher the average aggregation coefficient of the network, the lower the degree of modularity [42,43], that is, the fewer cohesive subgroups that can be clearly distinguished. Studies have shown that the existence of cohesive subgroups is not conducive to information communication and collaboration of the whole network [11].…”

Section: Modularity Analysismentioning

confidence: 99%

“…In the analysis of the 1-mode network, the 2-mode network needs to be converted into a 1-mode network through the matrix transformation for exploring the relationship among the actors. The matrix can be transformed using the function of 'data-associate (2-mode to 1-mode)' in UCINET, and the conversion method can be selected using the 'minimums method' which is adaptable for multi-value data (the data not only include 0 or 1) [43].…”

Section: -Mode Network Analysis ('Agency-agency' Network)mentioning

confidence: 99%

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Restructuring China’s Water Environment Management System: A Social Network Perspective

et al. 2020

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Despite restructuring in institutions related to environmental protection, the multi-sectorial decentralized water management system of China continued to be widely criticized. To identify the problems in China’s water management system and the direction of future reform, this article implemented social network analysis. From multiple perspectives (covering efficiency analysis, condensation analysis, and network centrality analysis), we quantitatively analyzed the structural change of the super-ministry reform of water environment management in China. We found that the 2018 super ministry reform of the system made the aggregation and central enhancement of China’s water management network, hence the power of water environmental management is more concentrated in the core department. However, the function overlap still exists after the reform. Some key issues of water resources management are absent from the responsibility of the core management department. Therefore, the cohesion and management effectiveness of the overall management network need to be further improved. Finally, we summarized several practical implications for future water management system reform, and the kernel is to achieve integrated management of water resource and water environment.

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Section: Modularity Analysismentioning

confidence: 99%

Section: -Mode Network Analysis ('Agency-agency' Network)mentioning

confidence: 99%

Restructuring China’s Water Environment Management System: A Social Network Perspective

et al. 2020

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“…Her studies showed examples of how local communities successfully managed common resource pools, including forests and fisheries. Further research in recent years focused on the importance of understanding the interactions between natural and human systems [32][33][34][35][36]. Ostrom [37] introduced a multi-tier framework for analyzing interactions among linked social-ecological systems.…”

Section: Players Are Interconnected and Multi-dimensionalmentioning

confidence: 99%

Developing Socio-Techno-Economic-Political (STEP) Solutions for Addressing Resource Nexus Hotspots

et al. 2018

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Abstract:The challenge of meeting increasing water, energy, and food needs is linked not only to growing demands globally, but also to the growing interdependency between these interconnected resource systems. Pressures on these systems will emerge to become hotspots with different characteristics, and will require a fresh look at the challenges existing both within each of the resource systems and at their respective interfaces. Proposing solutions to address different resource hotspots must be multi-faceted and need to acknowledge the multiple dimensions of the biophysical water, energy, and food systems, and the players connected with them. This commentary first explores the multiple dimensions of water, energy, and food systems as these relate to government, business, and society. It then identifies contemporary critical questions at the interface of these stressed resource systems. A 3-Filter framework is then introduced for vetting the feasibility of proposed resource allocation scenarios and to account for the bio-physical resource interactions and trade-offs, the stakeholder interactions and trade-offs, and to address governance and financing schemes for carrying forward the implementation of those scenarios.

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“…Although most of these studies focus on optimizing the crop production or food process life cycle, recent studies have focused on utilizing similar approaches to model and optimize the interconnected sectors. Examples are modeling inter-connection of energy and food sectors towards utilization of food bi-products for energy purposes (Cuellar and Webber 2010, Breunig et al 2017, flow of energy and water within a FEWS network, as well as design of network topology itself (Kurian et al 2018, Tsolas et al 2018, Daher et al 2019, Liang et al 2019, and the interdependence with social aspects of FEWS (Givens et al 2018). Another important factor in integrated FEWS analysis is risk imbued by climate change.…”

Section: Introductionmentioning

confidence: 99%

Optimizing dynamics of integrated food–energy–water systems under the risk of climate change

Memarzadeh

Moura

Horvath

2019

Environ. Res. Lett.

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Integrated management of food-energy-water systems (FEWS) requires a unified, flexible and reproducible approach to incorporate the interdependence between sectors, and include the risk of non-stationary environmental variations due to climate change. Most of the recently developed methods in the literature fall short of one or more aspects in such integration. In this article, we propose a novel approach based upon fundamentals of decision theory and reinforcement learning that (1) quantifies and propagates uncertainty, (2) incorporates resource interdependence, (3) includes the impact of uncontrolled variables such as climate variations, and (4) adaptively optimizes management decisions to minimize the costs and environmental impacts of crop production. Moreover, the proposed method is robust to problem-specific complexities and is easily reproducible. We illustrate the framework on a real-world case study in Ventura County, California.

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Governance of Water-Energy-Food Nexus: A Social Network Analysis Approach to Understanding Agency Behaviour

Cited by 25 publications

References 24 publications

Restructuring China’s Water Environment Management System: A Social Network Perspective

Restructuring China’s Water Environment Management System: A Social Network Perspective

Developing Socio-Techno-Economic-Political (STEP) Solutions for Addressing Resource Nexus Hotspots

Optimizing dynamics of integrated food–energy–water systems under the risk of climate change

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