Moral Panics

Who would have thought that scuffles between teenagers on the southeast coast of England on a cold April weekend in 1964 would have produced the notion of moral panic? Originating as a concept used to understand the reaction to the behavior of these teenagers, moral panic is one of the few sociological ideas that has entered common parlance. The reaction was considerable in relation to the degree of harm or damage. However, local and national media picked up on the events and alarm expressed by civic leaders and local business groups and made hay with headlines decrying the behavior and announcing the arrival of riot police to relieve what was described as a besieged town. More headlines further contributed to a spiral of reaction, and the issues were raised in the Houses of Parliament. The police and judiciary were urged to “crack down.” In the climate of a much-distorted view of events and behavior, overlong and custodial sentences were handed out for petty offenses such as vandalism. The participants in the moral panics include “folk devils” (the English teenagers), an influential and exaggerating media, local interest and pressure groups (civic and business leaders, religious leaders, and those who make “claims” as to expertise on the perceived problem), local and national politicians, the police, and judges. An important feature of moral panics is the “reaching beyond” the immediate problem with claims that there are society-wide implications; in the case of the teenagers in 1964, their deviant conduct was claimed to be symptomatic of general decline in morals. A moral panic is distinguished from general social anxieties and specific moral crusades when there is first a heightened concern over behavior of a group and the consequences this poses for wider society. There must be a division between “them,” the folk devils, and “us,” the responsible and law-abiding citizens. There must be consensus within society, or at least considerable segments of it, that the threat proposed is very serious. Additionally, the threat, damage, costs, and figures proposed by claims-makers are wildly exaggerated and do not coincide with an objective reality. Finally, moral panics are volatile. They typically explode, reach a pitch, and subside. Classic moral panics can also result in illiberal laws. As we will see, children and young people, and childhood, have regularly been the sites of moral panics.

Building a synthesis of economic costs of biological invasions in New Zealand

Biological invasions are a major component of anthropogenic environmental change, incurring substantial economic costs across all sectors of society and ecosystems. However, the economic costs of invasions have been disparately reported, lacking synthesis across taxonomic and sectorial scales. Using the newly compiled InvaCost database, we analyse reported economic damage and management costs incurred by biological invasions in New Zealand — a country renowned for its approaches to invasive species management — from 1968 to 2020. In total, US$69 billion (NZ$97 billion) is currently reported over this ~50 year period, with approximately US$9 billion of this considered highly reliable, observed (c.f. projected) costs. Most (82%) of these observed economic costs are associated with damage, with comparatively little invested in management (18%). Reported costs are increasing over time, with damage averaging US$120 million per year and exceeding management expenditure in all decades. Where specified, most reported costs are from terrestrial plants and animals, with damages most often borne by primary industries such as agriculture and forestry. Management costs are associated more with interventions by authorities and stakeholders. However, some known ecologically (c.f. economically) impactful invasive species are notably absent from estimated damage costs, and management costs are not reported for a number of game animals and agricultural pathogens. Given these gaps for known and potentially damaging invaders, we urge improved cost reporting at the national scale, including improving public accessibility through increased access and digitisation of records, particularly in overlooked socioeconomic sectors and habitats. This also further highlights the importance of investment in management to curtail future damages across all sectors.

Development and Application of Estimation Method for the Scale of Damage in Domestic Drought

In this study, an estimation method for damage and recovery costs on account of domestic droughts was developed. The estimation method for the scale of damage was applied based on the national drought statistics generated by the Ministry of Public Administration and Security. The damage and recovery costs of domestic droughts were calculated based on the damage data of domestic droughts that occurred in 2018 and 2019. The estimation method was developed for damage costs incurred due to domestic droughts by considering the number of people affected by water supply restrictions, accommodation, and restaurants. The method for estimating recovery costs after domestic droughts was developed considering domestic disaster support, water support, water development support, equipment support, and human resource support for victims. Due to the construction of a DB of limited domestic drought damage status, the damage costs were calculated for the number of people affected by water supply restrictions, and the recovery costs were calculated for the domestic disaster and water support. The total damage costs caused by domestic droughts in 2018 amounted to 612.471 M KRW, and in Gangwon-do and Jeollanam-do, they were 218.616 M KRW in 2019, and more than 90% of Incheon metropolitan city was calculated. The total recovery costs caused by domestic droughts in 2018 were 5,994.555 M KRW, and in Gangwon-do and Jeollanam-do, they amounted to 4,882.024 M KRW in 2019, and more than 90% of Chungcheongnam-do was calculated. The difference between the damage and recovery costs of domestic droughts was approximately tenfold in 2018 and twentyfold in 2019.

The economic burden of protecting islands from invasive alien species

Biological invasions represent a key threat to island ecosystems, with pronounced impacts across environments and economies. The ecological impacts have received substantial focus, but the economic costs have lacked synthesis at spatial and temporal scales. Here we utilise the InvaCost database, the most comprehensive global assessment of published economic costs of invasive species, to assess reported spend by cost types and socioeconomic sectors, and to examine temporal trends in spending, across islands that differ in their political geography - nation states, overseas territories or offshore islands of continental countries. We based this assessment on 1473 unique cost entries comprising 2914 annual costs totalling almost US$100 million in area-corrected costs between 1965-2020. We find that offshore islands of continental countries incur the greatest total and management costs. However, nation states incurred the greatest damage costs whilst substantially financing management actions, and spent an overall greater proportion of their GDP. In contrast, spending within overseas territories was significantly lower in all respects. The most impacted sector was authorities and stakeholders, demonstrating the key role of government in addressing island invasions. Temporal trends revealed continual increases in spending across all island types. This likely reflects ongoing introduction rates globally alongside an increased recognition of the importance of islands as biodiversity hotspots, and an appetite to tackle invasive species at larger and more socially complex scales. However, the high economic costs of invasions on islands substantiates the need to prevent them in order to avoid this dire threat to biodiversity and its burden on limited conservation resources.

Game of theories: an agent-based model of how variation in contest cost-benefits determines the evolution of contest resolution rules

Game-theory based models are used to understand rules that animals use to settle contests over indivisible resources. However, the empirical literature of contests indicates controversial support to models, with some species supporting different models and other species showing no support to any model. Since strategies used to resolve contests may have different associated costs, it is possible that different conditions have determined the evolution of distinct assessment strategies used by animals. We used an agent-based model to explore the importance of the following conditions: resource availability, probability of reproduction with resource, and damage costs on evolution of assessment strategies. We used self- and mutual-assessment models as a heurist framework to build agents with different assessment strategies. In our model, agents competed for resources in scenarios with different combinations of resource availability, probability of reproduction with resource, and damage costs. We found that agents following the self-assessment with damage strategy were prevalent in scenarios with no probability of reproduction without the resource, independently of other variables. We also found that agents following the non-aggressive strategy occurred in all scenarios. However, agents using the non-aggressive strategy were prevalent only in scenarios with probability of reproduction with the resource. Finally, we observed that agents using mutual-assessment occurred only in a scenario with high risk of damage, low availability of resources, and with probability of reproduction without the resource. These results indicate that agents following the self-assessment with damage and non-aggressive strategies may be able to stay at most scenarios.

Economic, environmental and grid-resilience benefits of converting diesel trains to battery-electric

Nearly all US locomotives are propelled by diesel-electric drives, which emit 35 million tonnes of CO2 and produce air pollution causing about 1,000 premature deaths annually, accounting for approximately US$6.5 billion in annual health damage costs. Improved battery technology plus access to cheap renewable electricity open the possibility of battery-electric rail. Here we show that a 241-km range can be achieved using a single standard boxcar equipped with a 14-MWh battery and inverter, while consuming half the energy consumed by diesel trains. At near-future battery prices, battery-electric trains can achieve parity with diesel-electric trains if environmental costs are included or if rail companies can access wholesale electricity prices and achieve 40% use of fast-charging infrastructure. Accounting for reduced criteria air pollutants and CO2 emissions, switching to battery-electric propulsion would save the US freight rail sector US$94 billion over 20 years.

Modeling Long-Term Electricity Generation Planning to Reduce Carbon Dioxide Emissions in Nigeria

The most recent assessments conducted by the International Energy Agency indicate that natural gas accounts for the majority of Nigeria’s fossil fuel-derived electricity generation, with crude oil serving mostly as a backup source. Fossil fuel-generated electricity represents 80% of the country’s total. In addition, carbon dioxide (CO2) emissions in Nigeria in 2018 (101.3014 Mtons) demonstrated a 3.83% increase from 2017. The purpose of this study is to suggest an alternate energy supply mix to meet future electrical demand and reduce CO2 emissions in Nigeria. The Model for Energy Supply Strategy Alternatives and their General Environmental Impact (MESSAGE) was used in this study to model two case situations of the energy supply systems in Nigeria to determine the best energy supply technology to meet future demand. The Simplified Approach to Estimating Electricity Generation’s External Costs and Impacts (SIMPACTS) code is also used to estimate the environmental impacts and resulting damage costs during normal operation of various electricity generation technologies. Results of the first scenario show that gas and oil power plants are the optimal choice for Nigeria to meet future energy needs with no bound on CO2 emission. If Nigeria adopts CO2 emission restrictions to comply with the Paris Agreement’s target of decreasing worldwide mean temperature rise to 1.5 °C, the best option is nuclear power plants (NPPs). The MESSAGE results demonstrate that both fossil fuels and NPPs are the optimal electricity-generating technologies to meet Nigeria’s future energy demand. The SIMPACTS code results demonstrate that NPPs have the lowest damage costs because of their low environmental impact during normal operation. Therefore, NPP technology is the most environmentally friendly technology and the best choice for the optimization of future electrical technology to meet the demand. The result from this study will serve as a reference source in modeling long-term energy mix therefore reducing CO2 emission in Nigeria.

Optimization of Electricity Generation Technologies to Reduce Carbon Dioxide Emissions in Egypt

In February 2016, the Egyptian government introduced Egyptian Vision 2030. An important pillar of this vision is energy. Egyptian Vision 2030 presented renewable energy as the best solution to reduce the emission of greenhouse gases (GHGs) in the energy sector. Egypt’s electricity comes from various power plants; conventional thermal plants generate over 90% in which gas-fired generation accounts for 75% of the total output. Following the increase in natural gas (NG) projects in Egypt, NG is the dominant electricity source. Based on the pillars of the sustainable development strategy of Egypt, the county can increase dependence on renewable energies, and reduce CO2 emissions and bound electricity production from natural gas. We aim to determine future energy generation strategies from various power plant technologies depending on these three principles. To make the picture more clear and complete, we compared the environmental impacts and external costs of fossil, hydro, and nuclear power plants in Egypt. We used two computer codes: the model for energy supply strategy alternatives and their general environmental impacts (MESSAGE) and the simplified approach for estimating environmental impacts of electricity generation (SIMPACTS). The MESSAGE code modeled the energy-supply systems to determine the best energy-supply technology to meet future energy demands. SIMPACTS estimated the environmental impact and damage costs associated with electricity generation. The results indicated that nuclear power plants and gas power plants are long-term electricity supply sources. Nuclear power plants entail low total external-damage costs, in addition to low environmental impact during normal operation. We conclude that nuclear power plants are the best alternative long-term electricity-generation choice for Egypt to meet future electricity demands.

Design Development and Analysis of Future Reliable Electric Vehicle

Universal climate change has already had noticeable effects on the environment. Net damage costs of climate change are likely to be considerable and to swell over time and emissions from transportation sector and use of fossil fuels in this scenario is just like adding fuel to fire. This work is a small effort made not only to portray the development of future reliable technologies in eVehicle that provides a cleaner solution with less carbon footprint but also to explain and establish the importance of the eVehicle as the most efficient and clean means of transportation with the help of plan and performance analysis. This paper presents the detailed analysis of different components of Battery operated eVehicle. The proposed EV Design addresses issues like range, drive train efficiency, fast exploration of higher system voltages ,charging times and reduced vehicle weight and tries to develop it as an option that is significantly safe, energy efficient, environmentally-friendly and easily controllable and to do so design, analysis and MATLAB simulation is carried out on battery operated eVehicle. As a BEV has a complex structure for analysis a realistic model is considered the accuracy simulation results are verified with theoretical outcome.