Implications For Environmental Policy Research Articles

Institutional limits of sustainability in tourism governance: changing governance rationalities in protected area tourism in Finland

ABSTRACT This study examines the co-evolution of tourism and the administration of Finnish protected areas (PAs), specifically focusing on how administrative legitimacy-seeking influences sustainable tourism governance. Drawing on concepts from new institutional theory, namely isomorphism (organizational convergence), legitimacy-seeking (the pursuit of societal approval), and decoupling (the separation of formal structures from practices), we analyse key policy documents and annual reports from Finnish Parks and Wildlife from 2005 to 2018. The findings of our study reveal a dual shift in PA governance: ‘platformisation,’ where PAs are transformed into state-orchestrated platforms that facilitate the creation of value and legitimacy through the growth of tourism, and ‘corporatization,’ where private sector governance logics are adopted within public administration. These shifts redefine the state's role in commercializing nature, emphasizing economic outputs and regional development mediated by tourism. We observe a decoupling of organizational practices between broader environmental policies and tourism development objectives, driven by the pursuit of legitimacy. Overall, this research contributes to the critical discourse on the evolution of PA governance. It highlights the significance of understanding these institutional constraints in the context of sustainable tourism governance and evaluates the wider environmental policy implications of tourism growth.

Bibliometric analysis of research trends and networks in carbon tax studies: Insights into environmental and economic policy implications

Carbon taxes are increasingly recognized as a critical tool in mitigating climate change by reducing carbon emissions. This study analyzes research trends in carbon tax studies using bibliometric techniques and social network analysis to explore their environmental and economic impacts and policy implications. By analyzing 922 documents from 308 sources published between 1968 and 2024, the study identifies key topics, emerging trends, and collaboration patterns among researchers. The results show a significant increase in carbon tax publications and citations, particularly from 2000 to 2019, peaking around 2017–2019, followed by a decline after 2021. The most frequently studied topics include carbon tax effects on emissions reduction, economic balance, and environmental sustainability. Social network analysis reveals influential researchers and institutions driving the discourse on carbon taxes, highlighting the importance of interdisciplinary collaboration in shaping effective policies. These findings provide insights into the evolution of carbon tax policies and underscore the need for continued research on specialized themes such as the role of carbon taxes in supply chain management, social equity, and energy policy. AcknowledgmentsThe authors would like to express their sincere gratitude to the Rector and the Dean of the Faculty of Economics and Business, Hasanuddin University for their unwavering support and invaluable assistance in this analysis. Their commitment to advancing academic research and community service has been instrumental in completing this study.

Environmental Policy Implications of Carbon Tax Implementation Using Natural Language Processing

Environmental Policy Implications of Carbon Tax Implementation Using Natural Language Processing

The major role of riverine outflows in shaping the current and future habitats of Harmful Algal Blooms: the case of the North Sea

Abstract This study investigates the extension of the potential habitat of Harmful Algal Blooms (HABs) in the North Sea using observational data and model experiments under current and future climate scenarios. We assess the combined effects of temperature, salinity, and nutrient availability, particularly the nitrogen-to-phosphorus ratio, on HABs in the region. Climate change projections indicate a decrease in salinity concomitant with an increase in surface temperature, potentially leading to an offshore extension of HAB habitat. Reducing nitrogen and phosphorus loads in rivers differentially affects dissolved inorganic nitrogen (DIN) and phosphorus (DIP) levels, with DIN being more sensitive to load reduction, thereby constraining HAB habitat extension. We underscore the importance of considering both physical and biogeochemical factors in assessing HAB habitat dynamics and the potential impacts of climate change and nutrient reduction measures on HAB expansion in the North Sea. These findings have significant implications for environmental policy and management.

BCDPi: An interpretable multitask deep neural network model for predicting chemical bioconcentration in fish

Predicting the bioconcentration of chemical compounds plays a crucial role in assessing environmental risks and toxicological impacts. This study presents a robust multitask deep learning model for predicting the bioconcentration potential. The model can predict the bioconcentration of compounds in multiple categories, including non-bioconcentrative (non-BC), weakly bioconcentrative (weak-BC), and strongly bioconcentrative (strong-BC). We also employed the SHapley Additive exPlanations (SHAP) technology for the model interpretation. The binary classification models (non-BC vs BC and weak-BC vs strong-BC) showed good predictive performance, which achieved accuracy values over 90% and area under the curve (AUC) values with 0.95. The final ternary classification model provided an overall accuracy with 91.11%. Comparative analysis of molecular physicochemical properties showed that the importance of molecular weight, polar surface area, solubility, and hydrogen bonding are important for chemical bioconcentration. Besides, we identified eight structural alerts responsible for chemical bioconcentration. We made the model available as an online tool named BCdpi-predictor, which is accessible at http://bcdpi.sapredictor.cn/. Users can predict the bioconcentration potential of chemical compounds freely. The model has significant implications for environmental policy and regulatory frameworks, such as REACH, by providing a more accurate and interpretable method for assessing chemical risks. We hope that the results of this study can provide helpful tools and meaningful information for chemical bioconcentration prediction in environmental risk assessment.

Association between temperature and air pollutants with atrial fibrillation presentations to emergency departments.

Understanding the impact of environmental exposures on disease incidence is important for environmental guidelines, health services management, and advising patients. We aimed to assess the relationship between daily mean temperature and common pollutants with atrial fibrillation (AF) presentations to emergency departments (EDs). The study included consecutive adult patients presenting with AF to EDs from 1/1/2014 to 31/12/2020 with linkage to hospital and emergency discharge diagnosis data. A time series quasi-Poisson regression with a distributed lag nonlinear model was fitted to assess the association between AF with mean air temperature and five common pollutants, overall and according to sex and region, with adjustment for season, day of the week, long-term trend, and co-pollutants. In 82 575 AF presentations to EDs during the study period, mean (standard deviations [SD]) (SD) age was 69.6 (SD 14.7) years and 50.7% were female. AF presentations were associated with elevated levels of Particulate Matter (PM) 2.5 (≥57.7 µg/m3) and nitrous dioxide (NO2) (≥16.5 parts per billion), but not mean air temperature or other pollutants (carbon monoxide, sulphur dioxide, or ozone). The attributable fraction of AF presentations relating to above optimal NO2 and PM 2.5 levels was 7.24% and 3.81% resulting in 854 and 450 annual excess AF presentations, respectively. High levels of NO2 and PM 2.5 are associated with increased risk of AF presentations to EDs. These findings have important implications for environmental policies and advice to patients susceptible to AF presentations to EDs, especially in regions with higher baseline levels of PM 2.5 or NO2.

Thermodynamics of Combustion and Environmental Impacts of Industrial Fuels: A Comparative Study

This study examines the combustion processes of different fuel types such as benzene, butane, ethane, hydrogen, methane, and propane, and evaluates the thermodynamic effects of these processes, as well as their impact on the quantity of gases emitted into the atmosphere. The findings reveal that each fuel type differs in terms of combustion efficiency, heat release, and emissions of pollutants into the atmosphere. These analyses yield important implications for energy production, industrial applications, and environmental policies. Future studies could focus on more in-depth comparative analyses of fuels, assessment of advanced combustion technologies, and dynamic modeling of combustion processes, thereby facilitating the development of strategies for more sustainable fuel usage and reduction of environmental impacts.

Human Environment

The relationship between humans and the environment is a complex and dynamic interplay that has evolved over millennia. This paper explores the multifaceted interactions between human societies and their surrounding ecosystems, emphasizing the profound impacts of human activities on the environment and vice versa. As human populations have grown and technological advancements have accelerated, the scale and intensity of environmental impacts have increased, leading to significant challenges such as climate change, biodiversity loss, and pollution. The study begins by tracing the historical development of human-environment interactions, highlighting key periods such as the Agricultural Revolution, the Industrial Revolution, and the current Anthropocene epoch. Each period is characterized by distinct environmental impacts and societal responses, providing a framework for understanding contemporary environmental issues. The paper then delves into the concept of sustainability, examining how it has emerged as a crucial paradigm in addressing the environmental crisis. Sustainable development goals and practices are discussed, illustrating how they aim to balance economic growth, social well-being, and environmental protection. Central to the discussion is the notion of environmental ethics and the role of cultural values in shaping human attitudes and behaviors towards the environment. The paper reviews various ethical frameworks, including anthropocentrism, biocentrism, and ecocentrism, and their implications for environmental policy and management. By analyzing case studies from different parts of the world, the paper demonstrates how cultural perspectives influence environmental decision-making and outcomes. Furthermore, the paper addresses the challenges and opportunities presented by environmental governance. It explores the roles of governmental and non-governmental organizations, international agreements, and community-based initiatives in promoting environmental stewardship. Special attention is given to the concept of adaptive management, which emphasizes flexibility and learning in addressing environmental uncertainties. The paper concludes by proposing a holistic approach to human-environment interactions, advocating for integrated strategies that recognize the interdependence of social, economic, and ecological systems. By fostering collaboration across disciplines and sectors, and by embracing a long-term perspective, humanity can work towards a more sustainable and resilient future. This exploration of the human environment underscores the urgency of rethinking our relationship with the natural world. It calls for a collective commitment to sustainable practices that respect the intrinsic value of the environment while ensuring the well-being of present and future generations.

ТЕНДЕНЦІЇ ЕЛЕКТРИФІКАЦІЇ ТРАНСПОРТНИХ ЗАСОБІВ

The market of electric vehicles in Ukraine and the world has been studied. Global electric vehicle sales are found to reach a record 3 million in 2022 and continue to increase. The main sales leaders are automobile companies: Nissan, Tesla, Toyota, Volkswagen Group, BYD. It is a joint effort between several industries: automobiles, utilities, gov-ernment and private property owners such as shopping centers and apartment complexes. When these paths align, vehi-cle electrification trends will grow exponentially. About 40 thousand electric vehicles are registered in Ukraine. The mar-ket is growing every year, reflecting the changing infrastructure for electric vehicles. This indicates significant changes in green transport and is expected to have far-reaching implications for transport and environmental policy in Ukraine. The popularity of used electric vehicles also suggests that cost may be a significant factor in driver choice, which could influ-ence future market trends and government incentives for electric vehicle adoption. The main companies providing ser-vices in the charging network for electric vehicles are Auto Enterprise, Toka, DTEK. The main factors influencing the ef-fective operation of electric vehicles, namely the development of infrastructure, are analyzed: a) modern equipment for charging stations corresponding to the appropriate level; b) provision of additional charging station services for electric vehicles (for example, individual lanes for parking and refueling and c) software for drivers, cost discounts for the use of electricity in accordance with system load levels, etc. Leading car factories are expected to account for more than 70% of global electric vehicle production by 2030, meaning one in four new passenger cars sold will be an electric vehicle. This is the beginning of the era of zero-emission alternative fuel vehicles. Keywords: electric vehicle, infrastructure, charging network for electric vehicles, operation, factor.

Forecasting CO2 Emissions in Malaysia Through ARIMA Modelling: Implications for Environmental Policy

Forecasting CO2 Emissions in Malaysia Through ARIMA Modelling: Implications for Environmental Policy

Strategic, tactical, complex and simple changes to farm systems

AbstractPressure has grown to reconfigure commercial farm systems to ameliorate resource degradation as governments have increasingly sought to halt or reverse the damaging effects of agriculture on the environment. Now, climate change is creating additional pressure to redesign farm systems to withstand more variable, and historically more extreme, seasonal conditions. Meeting these pressures is thought to require a combination of responses ranging from incremental adjustments to farm systems through to their complete transformation into entirely new enterprises. Implementing each of these entails different resources, time horizons, skills, knowledge and planning, and this has corresponding consequences for any government or industry policies intended to promote adoption or compliance. While there is an extensive literature on the adoption of technology and management practices in agriculture, the literature on different types of change to farm systems, and the criteria for distinguishing between types, is limited. We describe a novel approach to classifying changes to farm systems by integrating a method for describing the strategic and tactical flexibility of farm systems with a method for describing the complexity of changes to farm systems. The resulting classification provides a framework for inferring the nature of the resources, skills, knowledge, planning and time needed to implement the different types of change. We provide illustrative examples drawn from a series of interviews with farmers of each type of change and discuss the implications for extension, agricultural and environmental policy and policy regarding adaptation to climate change. We found that heterogeneity in farm systems translates into heterogeneity in adoption processes. We believe that our approach provides a practical way of translating commonly used broad descriptors of adaptation, such as ‘incremental’, ‘systems’ and ‘transformational’, into the specific type of the change that farmers must make to their farm systems to enact adaptations, with consequent implications for the effective policy support of adaptation.

Coastal plastic pollution: A global perspective

Coastal ecosystems have ecological importance worldwide and require control and prevention measures to mitigate human pollution. The objective of this study was to perform a systematic review to provide a comprehensive overview of the global issue of coastal plastic pollution. 689 articles were eligible for qualitative synthesis and 31 were considered for quantitative analysis. There was an exponential increase in articles addressing coastal plastic pollution over the past 50 years. Studies were mainly carried out on beaches, and plastic bottles were the most found item, followed by cigarette butts. Polyethylene was the predominant plastic polymer, and white microplastic fragments stood out. China published most articles on the topic and Brazil had the highest number of sites sampled. Meta-analysis had significant effect sizes based on the reported data. These findings carry significant implications for environmental policies, waste management practices, and targeted awareness campaigns aimed at mitigating plastic pollution.

Internal trade and environmental policy effectiveness in developing countries: A binary endogenous growth model with regional Heterogeneity

The shift of environmental pollution from developed to developing countries is largely induced by global labor and trade trends. Unlike their developed counterparts, developing countries face more pronounced regional disparities in social development within the realm of environmental governance. This paper proposes a binary endogenous model to assess the implications of environmental policies on such developing nations with sizable regional disparities. The model enhances the precision in simulating real-world ramifications of environmental policy implementation. It reveals that the 'pollution haven' effect extends beyond just the relocation of pollutant-generating industries to less developed regions; it also leads to the shipment of products fabricated using environmentally-degrading processes from less developed to developed regions, thereby undermining environmental regulation. Furthermore, the model's results were juxtaposed with China's increasingly stringent national environmental protection policy, adopted since 2000. The study confirms that environmental degradation has a substantial spatial spillover effect positively correlated with internal trade volume. The paper's conclusions assist in offering a new evaluative framework for the ensuing examination of environmental policy practicality in developing countries. It also recommends policy-making tools for enhancing the effectiveness of environmental regulations in these regions, such as limiting internal trade of polluting products alongside environmental levies and subsidies.

Ethical Implications of Environmental Policies and Practices

Purpose: The aim of this study was to investigate the ethical implications of environmental policies and practices. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the ethical implications of environmental policies and practices. Preliminary empirical review revealed that environmental decision-making is complex, involving trade-offs between competing values. It emphasized the importance of incorporating principles of justice and equity into governance processes, recognizing the disproportionate impact of environmental degradation on marginalized communities. The study identified gaps and shortcomings in current policies, highlighting the need for enhanced accountability and inclusivity. It advocated for a holistic and interdisciplinary approach to environmental governance, involving collaboration across diverse stakeholders to develop more effective and morally defensible strategies for addressing environmental challenges. Unique Contribution to Theory, Practice and Policy: The Environmental Justice theory, Ethical Decision- Making theory and Sustainability theory may be used to anchor future studies on the ethical implications of environmental policies and practices. The study made several recommendations, contributing to theory, practice, and policy. It recommended integrating ethical frameworks into policy development, strengthening community engagement, promoting environmental justice and equity, enhancing transparency and accountability, implementing ethical education and training, and fostering international cooperation. These recommendations aimed to ensure that environmental policies reflected ethical considerations, empowered communities, addressed systemic inequalities, promoted democratic governance, enhanced ethical awareness, and facilitated collaborative solutions to global environmental challenges. Keywords: Ethical Implications, Environmental Policies, Sustainability, Environmental Justice, Equity, Community Engagement, Transparency, Accountability, Policy Development, Participatory Governance, Democratic Deliberation, Environmental Inequalities, Ethical Frameworks, Education And Training, International Cooperation, Solidarity, Stakeholders, Decision-Making Processes, Global Environmental Challenges

A Study on Factors Influencing Behavioral Intentions for Separating Recyclable Waste in Korea

This study delves into the intricate relationship between individuals’ environmental knowledge, awareness of the ban on disposable plastic cups, and intentions to separate recyclables. Grounded in the Theory of Planned Behavior, the research design, data collection, and methodology encompassed the acquisition of 483 valid samples from 16 major metropolitan cities and provinces in South Korea. Environmental knowledge was assessed, focusing on two pivotal factors: environmental harmfulness and recycling. Path Analysis, executed through Partial Least Squares Structural Equation Modeling (PLS-SEM), allowed for evaluating path coefficients, specific indirect effects, and total effects of latent variables within the research model. The results illuminate the most influential pathways within the model. Individuals’ attitudes toward separating recyclables substantially impacted their intentions to engage in separation behavior (t = 9.420, R² = 0.380, p < 0.000). Furthermore, environmental knowledge significantly shaped individuals’ attitudes (t = 8.607, R² = 0.271, p < 0.000). Every hypothesis within the model was statistically significant, underscoring the robustness of the findings. An intriguing discovery was that the awareness of the ban on disposable plastic cups exerted a more pronounced influence on individuals’ practical understanding of precise recycling methods, as opposed to their general knowledge about the harmfulness of plastics. In conclusion, this study offers compelling evidence that residents’ environmental knowledge and attitudes toward recycling play pivotal roles in boosting their active participation in waste separation efforts. These findings have substantial implications for environmental policy and awareness campaigns, emphasizing the need to foster knowledge and positive attitudes to promote sustainable recycling practices.

Politicization, Ratification of International Agreements, and Domestic Political Competition in Non-Democracies: The Case of Iran and the Paris Climate Accords

While some degree of competition is present in many authoritarian regimes, the implications of such controlled competition on international issues have not received much consideration, including towards international environmental accords. We attempt to rectify this through a framework where we focus on internal political competition in a hybrid, nondemocratic system where national elections are held regularly. Specifically, we argue that the presence of multiple actors competing in elections in nondemocratic settings results in them assuming positions on various issues, justifying their positions, and attempting to mobilize their supporters with considerable implications for international environmental policies. We display our argument in the context of Iranian debates on the ratification of the Paris Climate Accords. Our findings demonstrate that the competing Iranian sides rely on different justifications for their environmental positions, resulting in extensive (negative) competitions of rhetoric where the international dimension emerges as an important feature in the internal competition. Overall, we show that political competition within non-democracies is likely to add to the complexity of international (environmental) negotiations and cooperation.

Vanderstock v Victoria: Fiscal Federalism Meets Environmental Constitutionalism?

Abstract This analysis critically examines the High Court of Australia’s recent decision in Vanderstock & Anor v The State of Victoria [2023] HCA 30 as an instance of environmental impact litigation (‘EIL’). The Vanderstock plaintiffs successfully challenged a state tax on low-emissions and electric vehicles on the basis that it was a duty of excise: a tax that can only be imposed by the federal parliament under s 90 of the Australian Constitution. However, the analysis cautions against viewing the decision as a victory for the environment. The High Court’s ruling has significant consequences for federal fiscal relations. At best, these have ambivalent implications for environmental policy. At worst, they may hamper or defeat environmental policy initiatives. Vanderstock thus offers a cautionary lesson for constitutional EIL, suggesting that any evaluation of the ‘impact’ of such litigation must have regard for structural implications of the legal norms involved.

Nonlinear effects of conservation reserve program rental rates on land enrollment under varying crop price regimes

AbstractWe use a panel smooth transition regression model to investigate the influence of Conservation Reserve Program (CRP) rental rates on land enrollment under different crop price regimes. We employ a flexible estimation technique, allowing the CRP rental rate incentives to vary with crop prices, and construct a Hausman‐type instrumental variable to address endogeneity. Simulations are conducted to assess the impact of varying crop prices on CRP acreage and its associated environmental effects. Results reveal a nonlinear relationship between rental rates and enrollment, with the impact diminishing as crop prices increase. A 10% rise in CRP rental rates corresponds to a 5.1% expansion in enrollment, reducing to 4.2% when crop prices reach a specific threshold. High crop prices lead to fewer acres enrolled, decreased carbon sequestration, increased phosphorus and nitrogen runoff, and increased sediment loss. Our findings highlight the importance of considering price fluctuations in conservation planning as it has significant implications for environmental conservation policies and programs.

Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

In this study, we aimed to investigate the influence of the built environment (BE) on commuter mode choice using machine learning models in a dense megacity context. We collected 10,150 home-based commuting trips data from Dhaka, Bangladesh. We then utilized three machine learning classifiers to determine the most accurate prediction model for predicting the mode of transportation chosen for commuting in Dhaka. Based on the predictive performance of the classifiers, we identified that the Random Forest (RF) algorithm performed the best. Using the RF model, this study also explored the relative importance of BE factors in predicting commute mode choice, identified nonlinear relationships between the BE factors and mode choice, and examined the interaction effects of these factors on mode selection. Our results reveal that, compared to socio-demographic factors, the BE substantially influence commuter travel behavior. The BE characteristics have a specific nonlinear threshold limit at which they can have a notable impact on lowering private car use, and private car use does not display a constant return of scale with BE. Their interaction effects illustrate the potential optimal combination of BE interventions to lower private car use for commuting. These findings hold substantial implications for urban environmental policy, emphasizing the need for transit-oriented development, travel demand management, and integrated land-use transportation planning to foster low-carbon transportation systems in cities like Dhaka.

Cloud-Based Remote Sensing and Analysis of Vegetation Cover Changes in Key Regions of Oceania

The main objective of this research is to use cloud platforms to conduct a shallow survey of vegetation cover variations in Oceania. It is well-known that compared with the northern hemisphere, Oceania has a more unique ecosystem. The geographic position of Oceania is close to the equator. Therefore, the climate of some regions in Oceania is warm and has full precipitation, which is different from that in the Northern Hemisphere. This considerably influences changes in vegetation cover and makes comprehending vegetation cover tendency important for environmental protection measures. The change in vegetation cover from 2015 to 2022 was analyzed using cloud technology and remote sensing data. My findings mainly include the expansion and reduction of vegetation cover in major regions of Oceania. These results provide valuable insight into the dynamic properties of Oceanian ecosystems. This study contributes to a deeper understanding of the ecological environment in Oceania and highlights the potential of cloud platforms in remote sensing and ecological monitoring. These findings have important implications for environmental policies, biodiversity conservation, and sustainable resource management in the region.