Increasing the slow pace of adoption of environmental taxes across low-income countries has become a significant priority among international financial institutions, multilateral development banks, and international donors. Yet little is known about the practical institutional, administrative, and political obstacles that have led to their slow implementation and how they can be made more appealing, especially across sub-Saharan Africa. Based on a review of the literature and 16 in-depth interviews with ministries of finance, revenue authorities, and other government representatives across six African countries, this paper provides exploratory evidence of these stakeholders' view about environmental taxes deployment in their countries' context. By increasing the visibility of these policymakers' opinions and priorities, this study aims to individuate areas in which further research can provide support for the introduction of environmental fiscal measures. While there are differences across the countries covered, a lack of data and analytical capacity to develop effective environmental taxes is a common theme, as well as the historical prioritisation of their revenue mobilisation capacity over their environmental impact. A great variety of government actors with a mandate over natural resources, often with competing policy priorities, coupled with a lack of coordination fora, has also impeded the harmonisation of the environmental charges they levy. These measures are also often perceived to be regressive and to pose an obstacle to industrial development, lowering their appeal, given that poverty reduction and employment creation are an overarching priority. Nonetheless, support for introducing specific environmental tax measures exists across the population and policymakers, especially if their revenue can be earmarked for environmental purposes.

Ongoing climate changes are likely to impact household food security in rural households that depend on rainfed subsistence agriculture. This paper investigates the relationship between summer climate variability and household food security in rural Mpumalanga, South Africa. We used a household panel data set nested in the Agincourt Health and Socio-Demographic Surveillance System, together with rainfall and temperature data for the summer periods 2006-07 to 2018-19 from three weather stations that surround the study area. We quantified the variability of rainfall using coefficient of variation and the standardized rainfall anomaly index, while temperature variability was reflected by the standardised temperature anomaly. In addition, the Mann-Kendall analysis was applied to detect temporal trends in rainfall and temperature. Longitudinal models accounting for socioeconomic and climate factors were used to estimate the relationship between weather and climate. The results reveal significant impact on food security from high inter-annual rainfall variability through fluctuations in food consumption, dietary diversity, and the experience of hunger. This study offers significant insights on how dietary diversity, food availability and overall food security are positively associated with greater average rainfall through subsistence agriculture as a livelihood strategy. These insights have important implications by suggesting seasonal forecasts to predict periods of potential food insecurity in local communities and can guide government policy and interventions to lessen food insecurity in rural areas.

The COVID-19 pandemic seems to have had positive (although short-lived, e.g., reduction in pollution due to lockdown) as well as negative (e.g., increasing plastic pollution due to use of disposable masks, etc.) impacts on the environment. The pandemic-environment linkage also includes circumstances when regions experienced extreme weather events, such as floods and cyclones, and disaster management became challenging. This study aims to examine the trends in public discourses on Twitter on these interactions between the pandemic and environment. The present study follows the most recent literature on understanding public perceptions - which acknowledges Twitter to be an abundant source of information on public discussions on any global issue, including the pandemic. A Python-based code is developed to extract Twitter data spanning over a year, and analyze the presence of covid-environment related keywords and other attributes. It is found that the Twitterati aggressively viewed the impacts (such as economic slowdown and high mortality) of the pandemic as miniatures of the results of future climate change. The community was also highly concerned about the varying air and plastic pollution levels with the change in lockdown and covid prevention policies. Extreme weather events were a high-frequency topic when they impacted countries such as India, the USA, Australia, the Philippines and Vietnam. This study makes a novel attempt to provide an overview of public discourses on the pandemic-environment linkage and; can be a crucial addition to the literature on assessing public perception of environmental threats through Twitter data mining.

Many impacts of the COVID-19 pandemic were caused on people's health and the economy of countries in its first year, especially in emerging economies such as Brazil, were dire. Social distancing and the reduction of jobs caused impacts in many organizations, which led to the adoption of strategies allowing employees to work from home, adjusting family residences into home offices while facing reduction in industrial production and a decrease in economic activities. The pandemic also changed consumption behaviors, the use of social media (social networks), and people's socioenvironmental awareness. This research aims to evaluate the influence of the COVID-19 pandemic on the use of social media, on environmental awareness, on sustainable consumption awareness and on the social responsibility awareness of different generations in Brazil one year after the beginning of the pandemic. For data analysis, the structural equation modeling method was used from a final sample of 1120 respondents. The results indicated that the COVID-19 pandemic positively influences the growing in social media usage (environmental issues and social responsibility issues) and sustainable consumption awareness. The study highlights that social media usage has the ability to positively influence environmental awareness, sustainable consumption awareness, and social responsibility awareness. The results provide a framework to analyze the consequential factors of the COVID-19 pandemic on sustainability awareness and the use of social media.

The need for stability in the economy for world development has been a challenge due to the COVID-19 pandemic. In addition, the increase of natural disasters and their aftermath have been increasing causing damages to infrastructure, the economy, livelihood, and lives in general. This study aimed to determine factors affecting the intention to donate for victims of Typhoon Odette, a recent super typhoon that hit the Philippines leading to affect 38 out of 81 provinces of the most natural disaster-prone countries. Determining the most significant factor affecting the intention to donate may help in increasing the engagement of donations among other people to help establish a more stable economy to heighten world development. With the use of deep learning neural network, a 97.12% accuracy was obtained for the classification model. It could be deduced that when donors understand and perceive both severity and vulnerability to be massive and highly damaging, then a more positive intention to donate to victims of typhoons will be observed. In addition, the influence of other people, the holiday season when the typhoon happened, and the media as a platform have greatly contributed to heightening the intention to donate and control over the donor's behavior. The findings of this study could be applied and utilized by government agencies and donation platforms to help engage and promote communication among donors. Moreover, the framework and methodology considered in this study may be extended to evaluate intention, natural disasters, and behavioral studies worldwide.

Tourism is one of the major economic factors contributing to growth and jobs worldwide. The number of international travellers has increased more than 50-fold in the past 70 years. However, the contribution of tourism to (municipal) waste generation is also large and is increasing, accompanied by an increase in some environmental and socio-economic impacts. An average value of 1.67 kg waste is now generated per tourist (Obersteiner et al., 2017). Waste prevention and recycling should therefore be major objectives in tourist waste management by municipal authorities. Within the EU H2020-funded project "URBANWASTE - Urban Strategies for Waste Management in Tourist Cities", eco-innovative waste prevention and management strategies were implemented in 10 pilot cities with high levels of tourism, in order to reduce urban waste production and improve municipal waste management. This study examined the potential greenhouse gas (GHG) emissions savings for three selected waste prevention and treatment options: food waste prevention, reductions in single use plastic and increased separate collection and recycling of waste. Benefits were expressed per kg waste prevented or diverted higher up the waste hierarchy and per 1000 tourists. The measures achieved potential GHG emission savings of between 4 and 189 kg CO2-eq. per 1000 tourists, depending on local conditions such as the existing waste management system. Measures tackling food waste reduction and separate collection had low emissions associated with the measure itself, whereas for assessed measures reducing the use of single use plastics by providing reusable alternatives, emissions associated with the measures were relatively high. This was due to the emissions associated with the production of the alternative reusable products. Influencing factors reducing the carbon footprint of waste management in tourism other than the kind of waste focused on were the existing waste management system (especially for biowaste) as well as the practicability and scalability of measures under the divers regional circumstances.

This study examines the direct and indirect impacts of climate change to the tourism sector on the islands of New Providence and adjacent Paradise Island in the Bahamas. The assessment was carried out by conducting a geospatial analysis of tourism establishments at risk using Geographic Information Systems (GIS). We combined the geospatial analysis with publicly available databases to assess the integrated climate-related impacts pertaining to a Small Island Developing State (SIDS) economy. Our study estimated that many tourism properties currently lie in a storm surge zone and the extent of properties at risk increases with a future scenario of a 1 m rise in sea level. While sea level rise (SLR) by itself only threatens a small number of properties, when combined with weak (Category 1), moderate (Category 3) and strong (Category 5) storms the resulting coastal flooding impacts 34%, 69%, and 83% of the tourism infrastructure (hotels and resorts), respectively. In addition to flooding, properties are also susceptible to coastal erosion with 28% of the total hotels and resorts on the two islands being situated within 0-50 m and 60% of the tourism infrastructure within 0-100 m of the coastline. Considering the economic importance of the sector, the potential impacts on the tourism infrastructure will cause significant losses in revenue and employment for the two islands. Furthermore, the majority of the tourism on these islands is beach-based and visitor expenditures will decline due to their vulnerability. These losses will have far-reaching social-economic consequences for the Bahamas. Our findings reveal a need for integrated coastal zone management that incorporates tourism management strategies with adaptation measures to deal with climate change.

The Mediterranean Large Marine Ecosystem (Med-LME) is a heterogeneous system that, despite its oligotrophic nature, has high diversity of marine species and high rate of endemism, making it one of the world hotspots for marine biodiversity. The basin is also among the most impacted Large Marine Ecosystems in the world due to the combined multiple stressors, such as fishing pressure, habitat loss and degradation, climate change, pollution, eutrophication and the introduction of invasive species. The complexity of Med-LME in its structure/function and dynamics, combined with the socio-political framework of the region make management of its marine resources quite challenging. This contribution aims at highlighting the importance of the Med-LME, with an emphasis on the state of its food web and of its fish/fisheries using modelling tools and national/international reporting. The purpose is to demonstrate the importance of an holistic framework, based on stock assessments and ecosystem based modelling approaches, to be adopted in support of management and conservation measures for the preservation and sustainable use of the Med-LME resources.

The Benguela Current Large Marine Ecosystem (BCLME) in the south-east Atlantic covers the territorial waters and Exclusive Economic Zones (EEZ's) of Angola and Namibia and partly of South Africa. Increasing demands, user-user and user-environment conflicts occur throughout the area. The three countries, which are parties to the Benguela Current Convention (BCC), have begun to implement Marine Spatial Planning (MSP) to support the sustainable development of the area and enhance ocean governance. This makes the region one of the first in a developing economies context and on the African continent to introduce MSP. The article (1) traces the origin of MSP in the region and describes the reasons for its development, (2) reviews the status of MSP processes to date at the regional and national level, and (3) reflects on the regional and individual country processes in terms of differences and similarities in approach and process governance, shared opportunities and difficulties. The study finds that MSP in the region is introduced because of both strong interests to use it as a means to help grow the blue/ocean economy and as a mechanism to further the implementation of the ecosystem approach. Similar steps have been taken so far and alike approaches to MSP exist across the three countries, with the BCC as regional convention facilitating knowledge sharing and assisting to improve cross-border coherence and consistency on MSP from the outset. Although challenges, such as limited finances and data gaps exist both at national and regional level, the MSP processes to-date have created an enabling environment to develop the first marine spatial plans in each country and to exchange knowledge and experiences within the region and with other regions.

Addressing wicked problems challenging water security requires participation from multiple stakeholders, often with conflicting visions, complicating the attainment of water-security goals and heightening the need for integrative and effective science-policy interfaces. Sustained multi-stakeholder dialogues within science-policy networks can improve adaptive governance and water system resilience. This paper describes what we define as "dialogic science-policy networks," or interactions -- both in structural and procedural terms -- between scientists and policy-makers that are: 1) interdisciplinary, 2) international (here, inter-American), 3) cross-sectoral, 4) open, 5) continual and iterative in the long-term, and 6) flexible. By fostering these types of interactions, dialogic networks achieve what we call the 4-I criteria for effective science-policy dialogues: inclusivity, involvement, interaction, and influence. Here we present several water-security research and action projects where some of these attributes may be present. Among these, a more comprehensive form of a dialogic network was intentionally created via AQUASEC, a virtual center and network initially fostered by a series of grants from the Inter-American Institute for Global Change Research. Subsequently, AQUASEC has significantly expanded to other regions through direct linkages and additional program support for the International Water Security Network, supported by Lloyd's Register Foundation and other sources. This paper highlights major scientific and policy achievements of a notable suite of science-policy networks, shared practices, methods, and knowledge integrating science and policy, as well as the main barriers overcome in network development. An important gap that remains for future research is the assessment and evaluation of dialogic science-policy networks' long-term outcomes.