Mapping Sustainable Development Goals: A network analysis framework

2019 ◽  
Vol 28 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Evropi‐Sofia Dalampira ◽  
Stefanos A. Nastis
Author(s):  
Shin-Cheng Yeh ◽  
Haw-Jeng Chiou ◽  
Ai-Wei Wu ◽  
Ho-Ching Lee ◽  
Homer C. Wu

To understand how the sustainable development goals (SDGs) are involved and cited in different fields, the current study aimed to explore the key SDGs and SDG-pairs from the viewpoints of academia and the media. The academic publications with SDG(s)-related keywords in the Scopus database and the entry videos of the “2018 SDG Lions” were collected and analyzed through content and network analysis. It was found that SDG 3 and SDG 10 shared the highest preferences in both industries, but apparent gaps happened to SDG 5. The tied frequencies of the possible SDG pairs were also examined, and SDG 3-10 was identified taking the lead in both industries. Network analysis using degree centrality as the vital parameter demonstrated that SDG 8 and SDG 5 has strong connections with several SDGs for the academia and the media, respectively. The SDG-2-6-7 combination or “water-energy-food” nexus was also found the most frequent combination of three SDGs in the academia. Overall, SDG 3 can be treated as a unifying theme when seeking to acquire evidence-based knowledge for integrated implementation of the SDGs. Important implications for policy-making of the SDGs were also discussed.


2020 ◽  
pp. 100589
Author(s):  
María Consuelo Fariña García ◽  
Víctor Luis De Nicolás De Nicolás ◽  
José Luis Yagüe Blanco ◽  
Jesús Labrador Fernández

Author(s):  
Domenico Dentoni ◽  
Laurens Klerkx ◽  
Felix Krussmann

This chapter introduces the use of value network analysis (VNA) as a diagnostic tool for (re-)organizing business models seeking to contribute to the achievement of multiple sustainable development goals (SDGs). While VNA has already been widely applied to the study of technological innovation ecosystems, this chapter introduces its role for decision-makers in business models seeking to support sustainability transitions toward the SDGs. To demonstrate the approach, the authors apply VNA to the case of the Agricultural Commodity Exchange (ACE) in Malawi. The ACE represents a business model seeking to increase value-chain efficiency while including smallholder farmers to foster food security and reduce rural poverty and marginalization. The authors discuss how VNA can act also as a diagnostic tool for actors seeking to contribute to reduce poverty and hunger (SDGs 1 and 2); enhance economic growth and public infrastructure (SDGs 8 and 9); and foster cross-sector partnerships for sustainability (SDG17). The ACE case demonstrates that VNA provides several entry points for building strategic cross-sector partnerships that act as systemic instruments in science, technology, and innovation policy, coordinating actions to ensure that the right policy mix comes in place to tackle different SDG targets in an integrated way.


2019 ◽  
Vol 11 (19) ◽  
pp. 5511 ◽  
Author(s):  
Anne Egelston ◽  
Scott Cook ◽  
Tu Nguyen ◽  
Samantha Shaffer

This research project analyzes the Partnership Data for Sustainable Development Goals to determine geographical coverage of the projects as well as the relationships of project proponents working in support of sustainable development. We perform a network analysis of the project proponents and measure connectivity through a variety of mathematical modeling techniques including degree rank, betweenness centrality, cut degree and pagerank metrics. We observe that the network consists of one giant component containing a majority of entities surrounded by a corona of small independent clusters. We conclude that mathematical modeling supports existing scholarly literature that proclaims sustainable development as a soft law paradigm with widespread support.


Author(s):  
Johanna Coenen ◽  
Lisa-Maria Glass ◽  
Lisa Sanderink

AbstractGiven the interconnectedness of climate change and sustainable development, policymakers and scholars have started to investigate how climate actions can contribute to achieving the Sustainable Development Goals (SDGs), and vice versa. To date, research has mainly focused on the national and international levels, while little is known about the interlinkages between climate actions and the SDGs at the transnational level. Not only nation states, but also non-state actors undertake ambitious actions designed to reduce greenhouse gas emissions and to promote sustainable development. Using content analysis and network analysis techniques, we examine the interlinkages between the climate actions of 72 transnational initiatives and the 169 targets of the 17 SDGs. We find that actions of 71 initiatives contribute to achieving 16 SDGs, thus generating valuable co-benefits. Besides SDG 13 on climate action and SDG 17 on partnerships for the goals, transnational climate actions frequently address SDGs 9 on industry, innovation and infrastructure, SDG 7 on affordable and clean energy, and SDG 12 on responsible consumption and production. While SDG 3 on good health and well-being and SDG 4 on quality education are barely addressed, SDG 5 on gender equality is not at all covered by transnational climate actions. Additionally, the network reveals that SDG 9 is highly synergistic with many other frequently addressed SDGs and functions as an important connector between them. Finally, our results indicate that transnational initiatives fill a governance gap left by states with regards to SDG 12. Climate initiatives of non-state actors can thus complement state-led actions to implement the Paris Agreement and the SDGs jointly.


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