A Bibliometrics Review of Water Footprint Research in China: 2003–2018

Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia

The power generation sector consumes significant amounts of water. A comprehensive water footprint (WF) assessment helps identify and monitor the processes consuming high amounts of water. This research evaluates the water footprint (WF) of electricity generation at a USC coal power plant, integrating on-site data for enhanced reliability. Based on the Water Footprint Assessment Manual, the electricity WF includes supply chain and operational WF. This study exhibits that the average electricity WF is 2.96 m3/MWh. The supply chain WF accounts for 95% of the total electricity WF, while operational WF contributes 5%. The blue WF accounts for 9.9% of the total electricity WF, while the grey water footprint accounts for 90.1%. The results of this research show a significant difference in the distribution of blue and grey WF in electricity WF. Factors contributing to the differences include the amount of coal consumption, power generation technology and power plant cooling technology. Furthermore, this study shows that grey WF depends on the concentration of pollutants considered. This research also conducted a WF impact assessment on local water resources and found that the blue and grey operational WF contributes to low impact. Monitoring the water footprint associated with electricity generation at a coal power plant would provide a more enhanced understanding of water consumption patterns, which could help influence water resources management.

A Water Footprint Management Construct in Agri-Food Supply Chains: A Content Validity Analysis

Common problems when carrying out water footprint (WF) assessments are obtaining specific primary data, dealing with the complexity of its computation, and the availability of quality data. In a supply chain context, inconsistencies are even more exacerbated. In order to fill in this research gap, this study proposes and evaluates the content validity of a survey scale to assess WF management initiatives implemented by companies, with a focus on supply chains and the agriculture industry. In order to do so, a literature review was performed to identify candidate survey items whose content was later validated with experts in terms of their relevance, clarity, and essentiality to measure WF management. Content validity was assessed using several indices (items’ content validity index (I-CVI), Kappa’s coefficient, Aiken’ V coefficient, and content validity ratio (CVR)), which indicated high content validity for the selected items. This study provides a set of measurement survey items that can be used to evaluate WF management initiatives implemented in agri-food supply chains in future empirical studies.

Understanding Recent Trends in Global Sustainable Development Goal 6 Research: Scientometric, Text Mining and an Improved Framework for Future Research

The fulfilment of Sustainable Development Goal (SDG) 6, concerning water and sanitation, is critical in itself and also conditional for the other 16 SDGs being met. The purpose of this study was to understand the scientific research trajectories, spatiotemporal development, scientific collaboration, ongoing research themes, and gaps related to SDG 6. We propose a coupling of bibliometric and text mining methods in this work, to statistically portray the impact of water research on the accomplishment of SDG 6. Through the Web of Science database, we focused on a single UN SDG goal (i.e., six related publications that were current (2015–2021)). The study was performed on the chosen 289 publications. With the analysis of Keywords Plus, abstracts, titles, as well as author keywords, we looked at the performance of authors, publications, journals, institutions, and nations in terms of publishing. To obtain an insight into the water and sanitation study topic, we used co-citation, co-occurrence, cooperation networks, theme networks and cluster analysis, word dynamics, thematic evolution, and other techniques. We filtered out five distinguishing themes using text mining and showed their temporal trends. The main outcome is that participation, as well as collaboration with countries of the Global South, is still lacking in the SDG 6 research sphere. Therefore, as an insight from this study, we proposed a conceptual framework, the sustainable development of water and sanitation (SDWS) framework, to classify the research domain of water and sanitation regarding its connections to the environment, economy, and society (i.e., sustainable development). The scientometric and text analysis results provide the contemporary state and overview of the water and sanitation research field, whereas the second, conceptual framework section, provides a better understanding of qualitative contents, by revealing the insights gained, as well as the important work to be done in future water and sanitation studies.

Scope, trends and opportunities for socio-hydrology research in Africa: A bibliometric analysis

Socio-hydrology research is concerned with the understanding of how humanity interacts with water resources. The purpose of this study was to assess the disparity between global and African trends as well as developments in the research domain of socio-hydrology. From the viewpoint of a multitude of research themes, multi-author collaborations between African and international researchers and the number of publications produced globally, the results reveal that the field of socio-hydrology is still underdeveloped and yet nascent. At a global level, the USA, China, and the Netherlands have the highest number of scientific publications, while in Africa, South Africa dominates, although these scientific publications are significantly much lower than the global output. The output of scientific publications on socio-hydrology research from Africa increased from 2016, with significant output reached in 2019. Water management and supply, hydrological modelling, flood monitoring as well as policies and decision-making, are some of the dominant themes found through keywords co-occurrence analysis. These main keywords may be considered as the foci of research in socio-hydrology. Although socio-hydrology research is still in the early stages of development in Africa, the cluster and emerging themes analysis provide opportunities for research in Africa that will underpin new frontiers of the research agenda encompassing topics such as the (1) impacts of climate change on socio-hydrology; (2) influence of socio-hydrology on water resources such as surface water and groundwater; (3) benefits of socio-hydrological models on river basins and (4) role of socio-hydrology in economic sectors such as agriculture. Overall, this study points to a need to advance socio-hydrology research in Africa in a bid to address pressing water crises that affect sustainable development as well as to understand the feedback mechanisms and linkages between water resources and different sectors of society.

Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals

India is ranked fifth in the world in terms of COVID-19 publications accounting for 6.7% of the total. About 60% of the COVID-19 publications in the year 2020 are from United States, China, UK, Italy, and India. We present a bibliometric analysis of the publication trends and citation structure along with the identification of major research clusters. By performing network analysis of authors, citations, institutions, keywords, and countries, we explore semantic associations by applying visualization techniques. Our study shows lead taken by the United States, China, UK, Italy, India in COVID-19 research may be attributed to the high prevalence of COVID-19 cases in those countries witnessing the first outbreak and also due to having access to COVID-19 data, access to labs for experimental trials, immediate funding, and overall support from the govt. agencies. A large number of publications and citations from India are due to co-authored publications with countries like the United States, UK, China, and Saudi Arabia. Findings show health sciences have the highest number of publications and citations, while physical sciences and social sciences and humanities counts were low. A large proportion of publications fall into the open-access category. With India as the focus, by comparing three major pandemics—SARS, MERS, COVID-19—from a bibliometrics perspective, we observe much broader involvement of authors from multiple countries for COVID-19 studies when compared to SARS and MERS. Finally, by applying bibliometric indicators, we see an increasing number of sustainable development-related studies from the COVID-19 domain, particularly concerning the topic of good health and well-being. This study allows for a deeper understanding of how the scholarly community from a populous country like India pursued research in the midst of a major pandemic which resulted in the closure of scientific institutions for an extended time.

A comparative bibliometric analysis of Chinese and foreign articles in environmental footprint family (EFF) research

Research on environmental footprint family (EFF), including these studies of environmental footprints and footprint family, has been widely applied to environmental impact assessment and sustainability evaluation. Although some bibliometric studies have focused on footprint indicators, there is still the lack of the contrast of Chinese and foreign literature in the field of EFF and the conclusions of successful practices at home and abroad in recent years. Unlike most previous papers, we improve the search strategy for collecting accurate documents data and compare China and foreign from a unified international perspective. Two datasets covering 1103 Chinese and 6011 foreign articles between 1996 and 2019 were collected to compare their bibliometric differences in EFF research. We not only comparatively investigate the overview of Chinese and foreign articles in EFF field based on the objects of publications, journals, authors, and institutions, but also explore their differences in the conceptual and intellectual structure from the aspects of keywords and citation analysis. For example, we can deduce that Chinese articles tend to engage in applied research and lack of theoretical innovations and breakthroughs in this field. Our comparative research results are useful and helpful for the public, policymakers, and researchers in this filed.

Ecological Footprint as an Indicator of Corporate Environmental Performance—Empirical Evidence from Hungarian SMEs

Small- and medium-sized enterprises (SMEs) play a significant role in the national economies of the EU member states. This economic activity has an inevitable environmental impact; however, environmental performance indicators are mostly measured at larger companies. Since the ecological footprint (EF) is a suitable measure of unsustainability, this paper considers it as a measure of the environmental impact of SMEs. An EF calculator for SMEs was developed that is freely available online, and it is a methodological innovation per se. Our previous research projects highlighted that the calculator must be easy-to-use and reliable; therefore, the calculator considers only the common, standardizable, and comparable elements of EF. Our results are based on validated ecological footprint data of 73 Hungarian SMEs surveyed by an online ecological footprint calculator. In order to validate and test the usefulness of the calculator, interviews were conducted with respondents, and results were also checked. The paper presents benchmark data of ecological footprint indicators of SMEs obtained from five groups of enterprises (construction, white-collar jobs, production, retail and/or wholesale trade, and transportation). Statistical results are explained with qualitative data (such as environmental protection initiatives, business models, etc.) of the SMEs surveyed. Our findings could be used as a benchmark for the assessment of environmental performance of SMEs in Central- and Eastern Europe.

Water Footprint Study Review for Understanding and Resolving Water Issues in China

The water footprint (WF) is a widely recognised and comprehensive indicator of both the direct and indirect appropriation of freshwater. It has been utilised for diverse functions, including as a key indicator of the planetary boundaries and United Nations Sustainable Development Goals. Focusing on the nation with the greatest WF, i.e., China, this study reviews journal articles both in English and Chinese published from January 2003 to June 2020. Using CiteSpace and bibliometric analysis of papers, journals, and keywords, we explore state-of-the-art WF accounting, driving forces, and effects. Visible differences in WF accounting keywords and spatial scales between English and Chinese literature are identified. Reported WF values for the same product varied across studies, and there was a lack of information regarding uncertainties. Key driving factors have been largely investigated for agricultural WFs but not for other sectors. The WF impact analyses primarily assess the environmental effects, ignoring the associated social and economic impacts. The development of WF studies has improved our understanding of water issues in China. However, there are still existing knowledge gaps to be filled to find solutions to WF-related issues.