SDG_coocurrence: Co-occurence of Sustainable Development Goals (SDGs)
In thectar: Hermeneutic Content Analysis

Description Usage Format Source

A dataset containing rating of SDGs in terms of importance by 23 respondents

1	SDG_coocurrence

A data frame with 46 rows and 19 variables:

ID: ID number of respondent
Important_q: Indicates if selection represents important goals (1) or unimportant goals (0) as perceived by respondent
No_Poverty: SDG 1 on no poverty
Zero_Hunger: SDG 2 on zero hunger
Good_Health_and_Well_Being: SDG 3 on good health and wellbeing
Quality_Education: SDG 4 on quality education
Gender_Equality: SDG 5 on gender equality
Clean_Water_and_Sanitation: SDG 6 on clean water and sanitation
Affordable_and_Clean_Energy: SDG 7 on affordable and clean energy
Decent_Work_and_Economic_Growth: SDG 8 on decent work and economic growth
Industry_Innovation_and_Infrastructure: SDG 9 on industry innovation and infrastructure
Reduced_Inequalities: SDG 10 on reduced inequalities
Sustainable_Cities_and_Communities: SDG 11 on sustainable cities and communities
Responsible_Consumption_and_Production: SDG 12 on responsible consumption and production
Climate_Action: SDG 13 on climate action
Life_Below_Water: SDG 14 on life below water
Life_on_Land: SDG 15 on life on land
Peace_Justice_and_Strong_Institutions: SDG 16 on peace, justice, and strong institutions
Partnerships_for_the_Goals: SDG 17 on partnerships for the goals

Data collected by the Social Research and Methodology Group, University of Basel, Switzerland. For more details on the SDGs see <www.sustainabledevelopment.un.org>.

thectar documentation built on Nov. 16, 2019, 1:07 a.m.