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This paper surveys the energy literature and systematically reviews the path to an inclusive and sustainable energy transition by exploring factors that drive the current energy transitions, countries with advanced energy transition programs, and the roles of energy literacy and justice in energy transition. Utilizing an exhaustive literature search from 2001 to 2023 via the Scopus database, the study identifies strong policy frameworks, technological advancements, economic incentives, and international collaborations as pivotal factors in successful energy transitions. Case studies from the Nordic countries, Germany, and Poland highlight diverse approaches and significant progress, revealing valuable lessons for global application. Although energy literacy emerges as crucial for public acceptance and participation, fostering informed decision-making and supportive behaviors toward renewable energy initiatives, energy justice ensures equitable access to the benefits of energy transitions, addressing socio-economic impacts on marginalized communities. The study identifies a scarcity of research that articulates and integrates energy literacy and justice concurrently within the purview of energy transition. The paper recommends the adoption, integration, and institutionalization of frameworks that concurrently propagate energy literacy and guide fair and equitable energy transitions. The frameworks should encourage active community involvement, promote community ownership of renewable energy projects, ensure transparency and inclusivity, implement measures for equitable economic benefits, protect livelihoods, address historical distrust, and leverage social media to promote energy literacy and justice. Finally, the continuous monitoring and evaluation of energy transition initiatives are crucial to ensure that they meet evolving societal needs and environmental goals. [ABSTRACT FROM AUTHOR]

Louisiana State University has graded states environmentally based on their use of nonregulatory tax, their ability to blend traditional rules with nonregulatory incentives, and command and control measures. The Toxic Release Inventory is treated as the index of a state's environmental management policy. California rates high in pollution control despite its industrial base. Colorado also ranks high as its industrial pollution is well below the national average. Despite their mediocre industries, states such as Nevada rank in the middle as their pollution level exceeds the national average.

The purpose of our research was to determine whether residential recycling programs introduced an additional benefit - reduced litter. We evaluated the proposition that such programs should impart to participants a heightened environmental awareness and understanding that may encourage them to litter less and/or pick up more accumulated litter. We examined accumulated litter by various types - recyclable litter, recyclable accessories, and nonrecyclable litter - in selected neighborhoods before and after the implementation of the Baton Rouge, Louisiana, curbside recycling program. We found that recyclable litter decreased significantly after the onset of the program. However, there was no similar decline in other types of litter. Although participants were motivated to discard fewer recyclables and/or pick up more recyclable litter after implementation of the program, this behavior did not carry over to the proper disposal of nonrecyclable litter.

Social media such as Twitter is increasingly being used as an effective platform to observe human behaviors in disastrous events. However, uneven social media use among different groups of population in different regions could lead to biased consequences and affect disaster resilience. This paper studies the Twitter use during 2017 Hurricane Harvey in 76 counties in Texas and Louisiana. We seek to answer a fundamental question: did social-geographical disparities of Twitter use exist during the three phases of emergency management (preparedness, response, recovery)? We employed a Twitter data mining framework to process the data and calculate two indexes: Ratio and Sentiment. Regression analyses between the Ratio indexes and the social-geographical characteristics of the counties at the three phrases reveal significant social and geographical disparities in Twitter use during Hurricane Harvey. Communities with higher disaster-related Twitter use in Harvey generally were communities having better social and geographical conditions. These results of Twitter use patterns can be used to compare with future similar studies to see whether the Twitter use disparities have increased or decreased. Future research is also needed to examine the effects of Twitter use disparities on disaster resilience and to test whether Twitter use can predict community resilience. [ABSTRACT FROM AUTHOR]

The abundant research examining aspects of social-ecological resilience, vulnerability, and hazards and risk assessment has yielded insights into these concepts and suggested the importance of quantifying them. Quantifying resilience is complicated by several factors including the varying definitions of the term applied in the research, difficulties involved in selecting and aggregating indicators of resilience, and the lack of empirical validation for the indices derived. This paper applies a new model, called the resilience inference measurement (RIM) model, to quantify resilience to climate-related hazards for 52 U.S. counties along the northern Gulf of Mexico. The RIM model uses three elements (exposure, damage, and recovery indicators) to denote two relationships (vulnerability and adaptability), and employs both K-means clustering and discriminant analysis to derive the resilience rankings, thus enabling validation and inference. The results yielded a classification accuracy of 94.2% with 28 predictor variables. The approach is theoretically sound and can be applied to derive resilience indices for other study areas at different spatial and temporal scales. [ABSTRACT FROM AUTHOR]

Models of integrated management emphasize the role of the surrounding socioeconomic and political environment in influencing management choices for natural resources. In this study, we explore a model that examines the influence of socioeconomic and political variables on the wetland management programs of U.S. states. Logistic regression was used to identify environmental, socioeconomic, and political variables that explained variation in state wetland programs. The likelihood of strong planning, nonregulatory, regulatory, and overall programs increases as the importance of fisheries in the state increases (p < 0.05), but decreases as population density increases (p < 0.15). Furthermore, there is an increasing likelihood of stronger regulatory and overall programs as environmental group activity and industry importance increases (p < 0.05). These findings provide empirical evidence to support the contention that management approaches used in one state often must be adapted to fit the realities of another given state. [ABSTRACT FROM AUTHOR]

State adoption and implementation of coastal management program components regarding the protection of beaches and dunes vary among the coastal states with federally-approved coastal zone management programs. The level of development of state coastal management programs is influenced by a variety of political, economic, social, and environmental factors. Ordinary Least Square (OLS) regression analyses were employed to determine which of these state factors influence the level of development of coastal management programs. The state factors associated with highly developed coastal management programs were identified as pro-environmental, activist citizenry and history of adopting environmental policies. [ABSTRACT FROM AUTHOR]

Residents facing environmental hazards can take steps to reduce their exposure risks, and these actions may be considered adaptations that can enhance the overall resilience of communities. Applying concepts from social-ecological resilience theory, the authors examine emergency planning and exposure-reducing behaviors among residents of the upper Industrial Corridor of Louisiana and explore the extent to which the behaviors are associated with key theoretical influences on community resilience: exposure, vulnerability, and the "adaptive capacity" of residents. The behaviors of interest are adoption of a household emergency plan in the case of acute exposure events (like chemical spills), and limiting outdoor activities in response to Air Quality Index reports, thus potentially reducing chronic exposure risks. Statistical analyses indicate that adaptive behaviors are associated both with greater exposure to hazards and confidence in one's knowledge and ability to reduce exposure risks. Thus, the study yields evidence that "adaptive capacity" is particularly relevant to understanding and encouraging household emergency planning. Residents who believe that they are well-informed about risk-reducing strategies, regardless of education or income, were found to be more likely to have adopted these measures. Evidence that knowledge and confidence levels are linked to adaptive behaviors is good news for those working in public education and outreach programs, as these are attitudes and skills that can be nurtured. While factors associated with exposure and vulnerability to hazards are difficult to change, knowledge of risk-reducing strategies and confidence in one's abilities to reduce exposure risks can be improved through well-designed public education efforts.

Many have voiced concern about the long-term survival of coastal communities in the face of increasingly intense storms and sea level rise. In this study we select indicators of key theoretical concepts from the social-ecological resilience literature, aggregate those indicators into a resilience-capacity index, and calculate an index score for each of the 52 coastal counties of Louisiana, Texas, Mississippi, Alabama and Florida. Building upon Cutter's Social Vulnerability Index work [1], we use Factor Analysis to combine 43 variables measuring demographics, social capital, economic resources, local government actions, and environmental conditions within the counties. Then, we map the counties' scores to show the spatial distribution of resilience capacities. The counties identified as having the highest resilience capacities include the suburban areas near New Orleans, Louisiana and Tampa, Florida, and the growing beach-tourist communities of Alabama and central Florida. Also, we examine whether those counties more active in oil and gas development and production, part of the region's "energy coast", have greater capacity for resilience than other counties in the region. Correlation analyses between the resilience-capacity index scores and two measures of oil and gas industry activity (total employment and number of business establishments within five industry categories) yielded no statistically significant associations. By aggregating a range of important contextual variables into a single index, the study demonstrates a useful approach for the more systematic examination and comparison of exposure, vulnerability and capacity for resilience among coastal communities.