Saul Ngarava, Marjanneke J Vijge, Willemien Duplessis, Leocadia Zhou, Germarié Viljoen, Patrick Nyambo, Tiisetso J Rantlo, Naziha Mokadem, Bronwen Qumbu, Sibulele Bongoza, Alois A Mugadza
Copernicus Institute of Sustainable Development, Utrecht University, Vening Meinesz Building, 3584 Utrecht, the Netherlands.
Faculty of Law, North-West University, Hoffman Street, Potchefstroom, South Africa.
Data Brief. 2024 Aug 8;56:110805. doi: 10.1016/j.dib.2024.110805. eCollection 2024 Oct.
The article presents and validates an extensive multivariate dataset that offers insights into water-energy-food (WEF) nexus governance for social justice at the intrahousehold, household, and community levels. The lack of insights in the WEF nexus debate that take social justice and governance into account is what spurred the data collection. The initial process involved scoping the originally selected investigated sites and their suitability. Once the research areas were identified, the data were collected from 1184 households in the Matatiele, Magareng, and Greater Taung Local Municipalities in South Africa, using a semi-structured questionnaire and KoboCollect software. The freely available software was installed on Android Tablets which were used by the enumerators. The questionnaires were initially piloted in Matatiele Local Municipality, testing for internal validity and skip patterns, as well as time to complete the questionnaire. The reliability of the Likert responses from the questionnaire was evaluated using Cronbach's alpha. The questionnaire was then refined for data collection and utilized a total of twenty-two (22) locally trained enumerators who were employed at the investigated sites. These enumerators were trained in administering the questionnaire and the use of the KoboCollect software used in data collection. The enumerators also received training on how to conduct the survey ethically, including informed permission, confidentiality, and the option to withdraw from the interview. The design of the data collection process was a cross-sectional survey that was conducted between 6 June and 4 August 2022, using purposive sampling. At the end of each data collection day, the enumerators uploaded their collected data into the KoboTool cloud, which allowed the lead in the survey to assess the data and effect any correctional measures on the questionnaire if the need arose. The enumerators also used a WhatsApp chat group to communicate real time opportunities and challenges in the questionnaire, which allowed the lead in the survey to constantly update the questionnaire. The multivariate questionnaire was divided into sections of socioeconomic and demographic characteristics, community-level governance, decision-making, food, energy, and water security, social justice, legal knowledge, and rights to utilize these resources. The dataset will be of significance to multi-disciplinary researchers focusing on WEF security, governance, and social justice in Southern Africa. Furthermore, environmental and sustainability practitioners can find valuable insights from the provided data. The employed methodology is replicable and adaptable, enabling real-time monitoring of social justice and governance in the context of food, energy, and water security. The real time monitoring of governance and social justice in water, energy and food allows for the possibility of continual data collection and updating, and if a longitudinal design is adopted, it can be used for impact inquiry of any interventions or policies.
本文展示并验证了一个广泛的多变量数据集,该数据集为家庭内部、家庭和社区层面的社会正义视角下的水-能源-食物(WEF)关系治理提供了见解。在水-能源-食物关系辩论中,缺乏对社会正义和治理的考量,这促使了数据收集工作的开展。初始过程包括确定最初选定的调查地点及其适用性。一旦确定了研究区域,便使用半结构化问卷和KoboCollect软件,从南非马塔蒂勒、马加伦和大陶恩地方市政当局的1184户家庭收集数据。这款免费软件安装在安卓平板电脑上,由调查员使用。问卷最初在马塔蒂勒地方市政当局进行了预测试,检验内部效度、跳答模式以及完成问卷所需时间。使用克朗巴哈系数评估问卷中李克特量表回答的可靠性。之后对问卷进行完善以用于数据收集,并总共雇佣了22名在当地接受培训的调查员,他们被派往调查地点工作。这些调查员接受了问卷管理以及数据收集所用KoboCollect软件使用方法的培训。调查员还接受了关于如何以符合道德规范的方式进行调查的培训,包括知情同意、保密以及退出访谈的选择权。数据收集过程的设计是一项横断面调查,于2022年6月6日至8月4日期间采用立意抽样法进行。在每个数据收集日结束时,调查员将他们收集的数据上传到KoboTool云端,这使得调查负责人能够评估数据,并在必要时对问卷采取任何纠正措施。调查员还利用一个WhatsApp聊天群组实时交流问卷中的机会和挑战,这使得调查负责人能够不断更新问卷。多变量问卷分为社会经济和人口特征、社区层面治理、决策、食物、能源和水安全、社会正义、法律知识以及利用这些资源的权利等部分。该数据集对于专注于南部非洲水-能源-食物安全、治理和社会正义的多学科研究人员具有重要意义。此外,环境和可持续性领域的从业者可以从所提供的数据中找到有价值的见解。所采用的方法具有可复制性和适应性,能够在食物、能源和水安全的背景下对社会正义和治理进行实时监测。对水、能源和食物领域的治理和社会正义进行实时监测,使得持续的数据收集和更新成为可能,如果采用纵向设计,它可用于对任何干预措施或政策的影响探究。