Q−Sort Evaluation of the Sustainable Development Goals′ Relevance

Hesuda Boua^*
*Correspondence: Hesuda Boua, Department of Management Science, Abdelmalek Essaadi University, Larache 92004, Morocco, Email:

Introduction

Sustainable development, encompassing economic, social, and environmental dimensions, has become a global imperative for addressing pressing challenges such as climate change, poverty, and inequality. This article employs the Q-Sort methodology to evaluate different perspectives and priorities surrounding sustainable development. By analyzing the subjective opinions of individuals through Q-Sort, we gain insights into the diverse range of viewpoints and potential areas of consensus within the sustainable development discourse. Q-Sort is a research technique that allows individuals to rank a set of statements or items according to their perceived importance or agreement. It involves a structured sorting process where participants compare and distribute statements onto a pre-determined scale, reflecting their personal perspectives. This method provides a nuanced understanding of complex issues by capturing subjective opinions and revealing patterns within the data [1,2].

Description

Before delving into the Q-Sort evaluation, it is crucial to establish a common understanding of sustainable development. Sustainable development refers to the pursuit of economic growth, social well-being, and environmental protection in a balanced manner that meets the needs of the present generation without compromising the ability of future generations to meet their own needs. The Q-Sort evaluation aims to capture the diverse range of perspectives on sustainable development, considering economic, social, and environmental aspects. Participants are presented with a set of statements representing different viewpoints and asked to rank them on a scale from "most important" to "least important." The statements cover topics such as renewable energy, poverty eradication, biodiversity conservation, responsible consumption, and sustainable urbanization [3,4].

Through statistical analysis of the Q-Sort data, distinct clusters of perspectives can be identified. These clusters may represent commonalities among participants regarding their prioritization of sustainable development dimensions. For example, one cluster may emphasize economic growth as a prerequisite for addressing social and environmental challenges, while another cluster may prioritize social equity as a foundation for sustainable development [5].

While diverse perspectives emerge from the Q-Sort evaluation, it is also important to identify areas of potential consensus. By examining statements that receive high rankings across participants, we can uncover shared priorities within the sustainable development agenda. These areas of consensus may serve as a foundation for collaborative efforts and policy-making to advance sustainable development goals [6].

Conclusion

The Q-Sort evaluation of sustainable development provides valuable insights into the diverse range of perspectives and priorities within the sustainability discourse. By analyzing subjective opinions, patterns, and areas of consensus, decision-makers can foster more inclusive and effective approaches to addressing complex challenges. The Q-Sort methodology serves as a valuable tool for understanding the multifaceted nature of sustainable development and facilitating informed decision-making towards a more sustainable future. It is important to acknowledge the limitations of the Q-Sort evaluation. The sample size and composition of participants may influence the outcomes, and generalizability to larger populations should be considered. Future research can explore variations in Q-Sort results across different regions, cultures, and stakeholder groups, allowing for a more comprehensive understanding of sustainable development perspectives globally.

Acknowledgement

None.

Conflict of Interest

None.

References

1. Zsoka, Agnes Nemcsicsné. "Consistency and “awareness gaps” in the environmental behaviour of Hungarian companies." J Clean Prod 16 (2008): 322-329.

Google Scholar, Crossref, Indexed at

2. Szerenyi, Zsuzsanna Marjaine, Agnes Zsoka, Katalin Asvanyi, and Zsuzsanna Flachner. "The role of adaptation to climate change in rural development." Regional and business studies 3 (2011): 189-198.

Google Scholar, Crossref

3. Gannon, Kate Elizabeth, Laetitia Pettinotti, Declan Conway and Swenja Surminski, et al. "Delivering the Sustainable Development Goals through development corridors in East Africa: A Q-Methodology approach to imagining development futures." Environ Sci Policy 129 (2022): 56-67.

Google Scholar, Crossref

4. Embke, Holly S., Elizabeth A. Nyboer, Ashley M. Robertson and Robert Arlinghaus, et al. "Global dataset of species-specific inland recreational fisheries harvest for consumption." Sci Data 9 (2022): 488.

Google Scholar, Crossref, Indexed at

5. Deutsch, Nikolett, and Laszlo Berenyi. "Personal approach to sustainability of future decision makers: A Hungarian case." Environ Dev Sustain 20 (2018): 271-303.

Google Scholar, Crossref, Indexed at

6. Alonso‐Almeida, Maria del Mar, Fernando Casani Fernandez de Navarrete and Jesus Rodriguez‐Pomeda. "Corporate social responsibility perception in business students as future managers: A multifactorial analysis." Bus Ethics Eur Rev 24 (2015): 1-17.

Google Scholar, Crossref, Indexed at