Scoping Review (SR) via Text Data Mining on Water Scarcity and Climate Change

Abstract

Climate change is causing the risk of weather events and instable water accessibility, making water insufficiency a serious problem. According to the 2022 Intergovernmental Panel on Climate Change (IPCC), 70% of extreme weather events such as droughts and floods have been water-related in the last 15 years. Since the climate change processes are speeding up, this percentage is expected to increase. A plethora of researchers have been working on the correlation between water scarcity and climate change. The purpose of this paper is to examine the published research dealing with water scarcity and climate. Therefore, the study carries out a scoping review (SR) via text data mining and reveals the related topics. Two kinds of analysis were carried out using IRaMuTeQ software: descriptive analysis (TTR, Giraud index, Herdan index and Zipf’s curve) and cluster analysis (Reinert’s method). The results show that the topic of water scarcity refers to the direct and indirect economic impacts on its availability for irrigation, the willingness to pay more for an irrigation water supply and the role of public institutions in “achieving sustainable development goals”. The conclusion of the paper highlights the role of this analysis for developing future research and identifies implications for theory, practice and policy in order to overcome the current global challenges related to water scarcity and climate change.

Scenario analysis and climate change: a literature review via text analytics

“…IRaMuTeQ was chosen for the textual analysis because, compared to other software, it highlights a high processing capacity and makes it possible for researchers to arrive at detailed reports with quality and highly reliable results (Aversa et al, 2023) and it has been implemented lexicometric measures, similarity analysis and clustering with Reinert's Method (Reinert, 1990(Reinert, , 1998b.…”

“…The literature review was carried out in Web of Science (WoS) databases, and it is based on a monolingual (English) corpus consisting of 416 texts, corresponding to as many abstracts extracted from the cited databases for the period between the years 2015 and 2022. Web of Science Clativate Analitycs is one of the world's leading databases, recording over 12,000 journals and 160,000 international conferences (Grabowska and Saniuk, 2022; Aversa et al ., 2023). It is the most consistent database according to Zhao and Strotmann (2015) and widely used for citations for scientific purposes (Grzybowska and Awasthi, 2020) and the query theme applied to the databases consists of two keys: “scenario analysis” and “climate change” related to the economic journals.…”

“…This type of study can be highly useful in showing the factors that affect informationalmeasures such as entropy, climate change and energy (Aversa et al, 2023). The lexicographic analysis carried out with Iramuteq (www.iramuteq.com) displays in Table 1 a corpus consisting of 416 texts, 92,312 tokens, 6,801 types (different words) before lemmatization and a number of hapaxes equal to 2,562 (2.78% of occurrences and 37.67% of forms).…”

“…Climate change is a major concern for society and researchers alike (NOAA, 2021;Pew Research Center, 2016;Aversa et al, 2023). It affects human health and well-being through more extreme weather events, decreased air quality and diseases transmitted by insects (Rosenzweig et al, 2001), as well as drought, which can harm food production and human health (NOAA, 2021).…”

“…Climate change is a major concern for society and researchers alike (NOAA, 2021; Pew Research Center, 2016; Aversa et al. , 2023).…”