Environmental Goals Research Articles

Estimates of Lake Nitrogen, Phosphorus, and Chlorophyll‐a Concentrations to Characterize Harmful Algal Bloom Risk Across the United States

AbstractExcess nutrient pollution contributes to the formation of harmful algal blooms (HABs) that compromise fisheries and recreation and that can directly endanger human and animal health via cyanotoxins. Efforts to quantify the occurrence, drivers, and severity of HABs across large areas is difficult due to the resource intensive nature of field monitoring of lake nutrient and chlorophyll‐a concentrations. To better characterize how nutrients interact with other environmental factors to produce algal blooms in freshwater systems, we used spatially explicit and temporally matched climate, landscape, in‐lake characteristic, and nutrient inventory data sets to predict nutrients and chlorophyll‐a across the conterminous US (CONUS). Using a nested modeling approach, three random forest (RF) models were trained to explain the spatiotemporal variation in total nitrogen (TN), total phosphorus (TP), and chlorophyll‐a concentrations across US EPA's National Lakes Assessment (n = 2,062). Concentrations of TN and TP were the most important predictors and, with other variables, the RF model accounted for 68% of variation in chlorophyll‐a. We then used these RF models to extrapolate lake TN and TP predictions to lakes without nutrient observations and predict chlorophyll‐a for ∼112,000 lakes across the CONUS. Risk for high chlorophyll‐a concentrations is highest in the agriculturally dominated Midwest, but other areas of risk emerge in nutrient pollution hot spots across the country. These catchment and lake‐specific results can help managers identify potential nutrient pollution and chlorophyll‐a hot spots that may fuel blooms, prioritize at‐risk lakes for additional monitoring, and optimize management to protect human health and other environmental end goals.

Harnessing the potential: exploring development opportunities and charting strategic pathways for China’s enhanced engagement in international blue carbon cooperation

Abstract In light of the urgent need to combat climate change and attain carbon neutrality, the development of blue carbon has emerged as a pivotal strategy for the global community. This approach offers significant potential for both mitigating and adapting to the impacts of climate change. As a result, international collaboration on blue carbon initiatives has become a focal point in the worldwide response to the climate crisis. China, blessed with extensive blue carbon resources, recognizes the development of these ecosystems as a critical component in its efforts to make a substantial contribution to the global endeavor to curb climate change and achieve sustainable environmental goals. This article offers a comprehensive analysis of China’s opportunities and challenges in international blue carbon collaboration. Despite its vast potential, China faces significant hurdles, including the degradation of blue carbon ecosystems, a delayed start in implementing blue carbon practices, and inconsistencies in the blue carbon standard system. To enhance its participation in global blue carbon initiatives, China should pursue several key strategies, including preserving and restoring its blue carbon ecosystems, strengthening domestic protection and application mechanisms, promoting the construction of an international blue carbon system, establishing a scientific cooperation platform to facilitate capacity building and technology transfer and advocating for an international blue carbon market trading mechanism. By prioritizing these key areas, China can simultaneously foster domestic blue carbon conservation and development while solidifying its role as a pivotal contributor to global climate change mitigation efforts.

How to crack the impossible triangle of new energy coupled system——Evidence from China

This paper employs a four-dimensional coupled dynamic system and combines actual data from China to analyze the intrinsic connections and dynamic changes among new energy, economy, carbon emissions, and energy storage. The study reveals that new energy development faces an impossible triangle dilemma, wherein energy reliability, economy, and low carbon are difficult to achieve simultaneously. Although economic growth promotes new energy utilization, new energy development may inhibit economy at the initial stage. The development of new energy can effectively reduce carbon intensity. There exists a conflict between economic growth and carbon reduction, and a part of economic growth needs to be sacrificed to realize carbon emissions reduction. Further research indicates that market mechanism and government regulation are crucial for solving the energy trilemma, requiring coordinated efforts to achieve the optimal solution for energy, economy, and environmental goals. It is recommended to dynamically adjust the policy and market mechanism intensity based on the new energy industry's development stage. Increase government subsidies in the early stages and gradually transition to market dominance in the mid-term while improving market mechanism. In the field of energy storage, guide its participation in the electricity market to achieve scale development.

Does enterprises agglomeration lead to increased pollution emissions? Evidence from Chinese microdata

Enterprise agglomeration provides significant economic benefits but also carries substantial environmental impacts. Using the China Industrial Enterprise Database, this research develops novel metrics to comprehensively quantify specialization and diversity within enterprise agglomeration patterns in the Chinese industry from 1998 to 2012. Meanwhile, this study also theoretically links levels of enterprise agglomeration to pollution levels by extending established models and testing these relationships empirically with emissions data from the period. The study finds that enterprise agglomeration has a "U-shaped" relationship with environmental pollution that is modified by factors like fossil fuel intensity and strength of environmental regulations. The conclusions suggest priorities for sustainable development include optimizing degrees of enterprise agglomeration and promoting energy efficiency and stricter standards to support long-term compatibility between economic clustering through enterprise agglomeration and environmental performance goals.

Green bonds and sustainable finance: Performance insights and future outlook

This review paper comprehensively analyses green bonds and their role in sustainable finance. It examines green bonds' definition, characteristics, performance, market trends, challenges, and opportunities. Findings reveal that green bonds offer investors an avenue to align financial objectives with environmental goals while generating competitive returns. However, challenges such as standardised definitions and insufficient investable projects hinder market growth. Implications for investors, issuers, and policymakers are discussed, highlighting the importance of integrating environmental, social, and governance factors into decision-making processes. Recommendations include further research to enhance understanding and stakeholder collaboration to promote transparency and accountability. Ultimately, green bonds promise to advance environmental sustainability and combat climate change in a resilient, low-carbon economy.

Optimal strategies for carbon emissions policies in competitive closed-loop supply chains: A comparative analysis of carbon tax and cap-and-trade policies

This study addresses a comparative analysis of carbon emissions policies and optimal decisions in competitive closed-loop supply chains. It examines three policy scenarios: a single carbon tax, a single cap-and-trade, and a mixed policy. Competitive intensity, the degree of competition among manufacturers, and product recycling rate, a key element in closed-loop supply chains, can impact the comparative analysis of carbon policies and optimal decisions in competitive closed-loop supply chains. A supply chain system is constructed, consisting of two manufacturers and a shared retailer. We employ a decentralized decision-making approach, with a Cournot game between the manufacturers and a Stackelberg game with the retailer. The analysis considers the impacts of carbon tax, carbon trading price, and recycling rate on optimal decisions and total supply chain profit. The results demonstrate that the mixed carbon policy can yield superior economic and environmental benefits compared with the single carbon tax policy. Mixed policies are likely to be relatively less profitable in most cases than a single cap-and-trade policy. Notably, when the mixed carbon quota exceeds a certain threshold, the mixed policy surpasses the single cap-and-trade policy both economically and environmentally. This study extends previous research by examining the impacts of the recycling rate and various carbon policies on supply chain decisions and profit. The findings offer insights into optimal strategies for reducing supply chain carbon emissions, which benefits policymakers and managers. Finally, it suggests that enterprises should consider a mixed carbon policy to balance economic and environmental goals.

Mechanisms of Media Persuasion and Positive Internet Word-of-Mouth Driving Green Purchasing Behavior: Evidence from China

As environmental issues intensify, sustainability development is becoming mainstream, with environmental topics gaining increasing attention in the media and online. Shifting consumer behavior in China toward green purchasing is crucial for mitigating environmental pollution and achieving sustainable, low-carbon consumption. This study constructed a theoretical model combining media persuasion (MP) and positive internet word-of-mouth (PIM) with green purchasing behavior (GPB), based on the Stimulus–Organism–Response (SOR) and persuasion theories, to explore consumer responses to environmental information campaigns. A total of 357 valid samples were collected through an online questionnaire survey and subjected to analysis using the structural equation model (SEM). The results indicate that MP, PIM, and environmental attitude (EA) significantly influence GPB. Specifically, EA partially mediates the relationship between MP, PIM, and GPB, while environmental knowledge (EK) negatively moderates the relationship between independent variables and EA. Additionally, EK moderates the mediating effect of EA. The findings highlight that the effective implementation of MPs and PIMs can facilitate the creation of positive EA, which stimulates consumer GPB. This is essential for promoting sustainable consumption. This research contributes to sustainability by providing insights and practical suggestions for developing green marketing strategies that support environmental goals.

Clouding the Future: Innovating Towards Net-Zero Emissions

Purpose: This paper explores the intersection of cloud computing, generative artificial intelligence (AI), and sustainability, focusing on how these technologies can drive the transition towards net-zero emissions. The aim is to assess how integrating cloud-based solutions and AI can enhance energy efficiency and support environmental goals. Methodology: The study employs a comprehensive review of recent literature, industry reports, and case studies from major cloud providers and technology companies. It analyzes the sustainability commitments of leading cloud providers, evaluates the role of generative AI in optimizing resource utilization, and examines the benefits of serverless automation in reducing carbon footprints. Findings: The research finds that cloud providers are making significant strides in sustainability through ambitious climate commitments and energy-efficient technologies. Generative AI is shown to improve decision-making and resource management, while serverless automation optimizes resource use and minimizes energy consumption. These advancements collectively contribute to achieving long-term sustainability goals and enhancing operational efficiency. Unique Contribution to Theory, Practice, and Policy: This paper provides a novel perspective on leveraging generative AI and serverless automation for sustainability. It offers actionable recommendations for organizations to integrate these technologies into their cloud strategies, emphasizing the importance of aligning with ESG criteria and optimizing data center operations. The findings support the development of policies that encourage technological innovation in the pursuit of environmental stewardship and carbon neutrality.

Intellectual capital through decarbonization for achieving Sustainable Development Goal 8: a systematic literature review and future research directions

PurposeThe aim of this study is to review the literature on how intellectual capital (IC) contributes to the decarbonization efforts of firms. It explores how carbon accounting can measure the components of IC in decarbonization efforts to balance profitability with environmental and social goals, particularly in promoting decent work and economic growth (Sustainable Development Goal [SDG] 8 and its targets [2, 5, 6, 8]). Moreover, it emphasises the importance of multi-stakeholder partnerships for sharing knowledge, expertise, technology, and financial resources (SDG17-Target 17.G) to meet SDG8.Design/methodology/approachAs a consolidated methodological approach, a systematic literature review (SLR) was used in this study to fill the existing research gaps in sustainability accounting. To consolidate and clarify scholarly research on IC towards decarbonization, 149 English articles published in the Scopus database and Google Scholar between 1990 and 2024 were reviewed.FindingsThe results highlight that the current research does not sufficiently cover the intersection of carbon accounting and IC in the analysis of decarbonization practices. Stakeholders and regulatory bodies are increasingly pressuring firms to implement development-focused policies in line with SDG8 and its targets, requiring the integration of IC and its measures in decarbonization processes, supported by SDG17-Target 17.G. This integration is useful for creating business models that balance profitability and social and environmental responsibilities.Originality/valueThe integration of social dimension to design sustainable business models for emission reduction and provide a decent work environment by focusing on SDG17-Target 17.G has rarely been investigated in terms of theory and practice. Through carbon accounting, IC can be a key source of SDG8-Targets 8.[2, 5, 6, 8] and SDG17-Target 17.G. Historically, these major issues are not easily aligned with accounting research or decarbonization processes.

Global net climate effects of anthropogenic reactive nitrogen

Anthropogenic activities have substantially enhanced the loadings of reactive nitrogen (Nr) in the Earth system since pre-industrial times1,2, contributing to widespread eutrophication and air pollution3–6. Increased Nr can also influence global climate through a variety of effects on atmospheric and land processes but the cumulative net climate effect is yet to be unravelled. Here we show that anthropogenic Nr causes a net negative direct radiative forcing of −0.34 [−0.20, −0.50] W m−2 in the year 2019 relative to the year 1850. This net cooling effect is the result of increased aerosol loading, reduced methane lifetime and increased terrestrial carbon sequestration associated with increases in anthropogenic Nr, which are not offset by the warming effects of enhanced atmospheric nitrous oxide and ozone. Future predictions using three representative scenarios show that this cooling effect may be weakened primarily as a result of reduced aerosol loading and increased lifetime of methane, whereas in particular N2O-induced warming will probably continue to increase under all scenarios. Our results indicate that future reductions in anthropogenic Nr to achieve environmental protection goals need to be accompanied by enhanced efforts to reduce anthropogenic greenhouse gas emissions to achieve climate change mitigation in line with the Paris Agreement.

Contract award criteria in public procurement procedures – The possibility of improving the situation of society from the perspective of the European Union and Poland

Background Public tenders are vital for a country’s GDP and citizens’ quality of life, enabling public administration to achieve various goals. Developing and developed countries allocate over 10% of their GDP to public procurement. This highlights the significant societal support public tenders can provide, making it important to consider how they can further benefit society. Policy and implications Public procurement can achieve policy objectives and benefit society by selecting tenders based on criteria beyond price, such as economic advantage and social benefits. This approach, endorsed by EU directives since 2014, encourages innovation and socially responsible practices. Contracting authorities in the EU can use social, environmental, and qualitative criteria to determine the most advantageous offers. Poland’s Public Procurement Law (PPL) allows contract award criteria based on quality and price, including social aspects. Contracting authorities can specify criteria like employing marginalized groups, though these criteria often face scrutiny and legal challenges. Non-price criteria aim to enhance competition and achieve social, environmental, and economic goals. Recommendations EU and Polish laws permit and encourage using social aspects as contract award criteria in public procurement. However, contracting authorities must analyze priorities, risk balancing, time constraints, and departmental coordination to effectively implement these criteria. This approach can improve the social situation and support specific groups. Conclusions Public procurement significantly influences a country’s economy and quality of life, with EU and Polish laws allowing social criteria in contract awards. Directive 2014/24/EU supports tenders based on economic and social benefits. Poland’s PPL aligns with this, emphasizing marginalized group employment. Effective implementation fosters job creation, social integration, and improved living standards.

Mangroves trend and their impact on surface temperature in Al-Wajh Lagoon: a study aligned with Saudi Arabia's vision 2030

Mangrove ecosystems are vital to arid environments like Saudi Arabia, offering crucial ecological services and enhancing biodiversity. This study investigates the spatial distribution and temporal dynamics of mangrove coverage in the Al Wajh lagoon area, crucial for crafting effective conservation and management strategies. Employing high-resolution Landsat and Sentinel imagery, the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) were analysed across 35 mangrove clusters. By 2023, mangroves covered approximately 24.5 km2. Kendall Tau-b Correlation Coefficients confirmed a significant positive trend. The study further explored the relationship between NDVI and surface temperature, revealing an inverse correlation with slope values ranging from −4.03 to −44.1, suggesting that increased mangrove coverage significantly contributes to local cooling, thereby underscoring the climate regulation benefits of mangrove conservation. This positive change in NDVI post-2020 is directly attributable to the conservation efforts embedded within the Red Sea Project, Vision 2030, development phases, demonstrating the critical role of designated conservation zones in mitigating the environmental impacts of large-scale development projects. The findings underscore the need for targeted policies to protect and expand mangrove habitats as part of broader environmental sustainability goals in the region.

Multiobjective Optimization of Papermaking Wastewater Treatment Processes under Economic, Energy, and Environmental Goals.

Due to the heterogeneity of recycled paper materials and the production conditions, pollutants in papermaking wastewater fluctuate sharply over time. Quality control of the papermaking wastewater treatment process (PWTP) is challenging and costly. As regulations are also growing about the environmental effects of the PWTP on greenhouse gas (GHG) emission, energy consumption, etc., the PWTP formulates a complex multiobjective optimization problem. This research established a multiagent deep reinforcement learning framework to simultaneously optimize process cost, energy consumption, and GHG emission in the PWTP, subjected to the effluent quality, to realize economic, energy, and environmental (3E) goals. The biological treatment process of wastewater in paper mills was simulated using benchmark simulation model no. 1 (BSM1). The data generated based on the BSM manual was utilized for model training, and real data acquired from a local papermaking factory was used to estimate the model performance. The results show that the proposed method outperforms conventional techniques in identifying the best control strategies for multiple targets.

Empowering sustainable development: The crucial nexus of green fintech and green finance in Luxembourg’s banking sector

Luxembourg institutions have the opportunity to reconcile environmental goals with financial stability by implementing Green Fintech solutions, as the banking sector increasingly recognizes the importance of sustainability. This study employs a quantitative approach and analyzes data collected from 150 participants working in the banking industry of Luxembourg. The research aims to assess the consequences of adopting Green Fintech on sustainable development. Banking institutions can boost their financial resilience and mitigate climate-related risks by adopting Green Fintech, which improves their sustainability. The paper emphasizes the importance of Green Fintech in the Luxembourg banking sector for advancing sustainable development goals. To effectively address the increasingly complex environmental concerns, it is crucial to embrace innovative Fintechs.

African countries’ Rio convention commitments for selected agricultural measures related to soil security and soil health

This study examines the commitments of African countries that would support improved soil security and soil health. Measures for agroforestry, erosion control, grassland management, soil organic carbon (SOC), and wetlands were assessed within the frameworks of the Rio Conventions. By analyzing national commitments in Land Degradation Neutrality (LDN) targets, and biodiversity (Aichi) targets, and Nationally Determined Contributions (NDCs), submitted until January 31, 2024, the research identifies the extent and quantification of these commitments. Results reveal a varying emphasis on these measures across different national targets, with significant focus on agroforestry, grassland, SOC, and wetland conservation in LDN targets and NDCs. Where quantified commitments for a single measure have been set across LDN, NDC, and biodiversity targets, the necessity of national coordination in setting, planning, and monitoring sustainable soil management commitments is highlighted. The study concludes that implementing sustainable soil management practices remain pivotal for achieving agricultural and environmental goals in Africa, thereby calling for a unified approach to leverage existing commitments towards setting future priorities in soil health and soil condition, drawing attention to the critical need for integrated national processes to ensure effective implementation and monitoring of these commitments.

A Critical Review of Executive Compensation Policies Grounded in ESG Principles

High executive salaries often lead executives to prioritize short-term gains over long-term ESG benefits. This review explores how reducing executive compensation, influenced by environmental regulations, impacts innovation in sustainable technologies. As shareholders demand more ESG-focused models, the traditional compensation model is shifting to link compensation with environmental and social goals. The literature focuses on greenhouse gas emissions, employee satisfaction, and regulatory compliance. This review covers global ESG-based incentives, followed by country-specific approaches in China, France, Germany, India, Italy, South Africa, Sweden, and the United States. It concludes with alternative frameworks from financial institutions. Executives are more likely to engage in environmental initiatives when personal gains are tied to these goals. Equity-based incentives are favored over salary-based bonuses. Concepts like the parity pill aim to increase investor trust and transparency. As investors become more environmentally conscious, they expect companies to align with these values. Executives are encouraged to prioritize long-term sustainability over short-term personal gains.

Descriptive evaluation of a camera-based dairy cattle lameness detection technology

Lameness in dairy cattle is a clinical sign of impaired locomotion, mainly caused by painful foot lesions, compromising the US dairy industry's economic, environmental, and social sustainability goals. Combining technology and on farm data may be a more precise and less labor-intensive lameness detection tool, particularly for early detection. The objective of this observational study was to describe the association between average weekly autonomous camera-based (AUTO) locomotion scores and hoof trimming (HT) data. The AUTO data were collected from 3 farms from April 2022 to March 2023. Historical farm HT data were collected from March 2016 to March 2023 and used to determine cow lesion history and date of HT event. The HT events were categorized as a regular HT (TRIM; n = 2290) or a HT with a lesion recorded (LESION; n = 670). Events with LESION were sub-categorized based on lesion category: digital dermatitis (DD; n = 276), sole ulcer (SU; n = 79), white line disease (WLD; n = 141), and other (n = 174). The data also contained the leg of the LESION, classified as front left (FL; n = 54), front right (FR; n = 146), rear left (RL; n = 281), or rear right (RR; n = 183) leg with 6 events missing the leg. Cows' HT histories were classified as follows: cows with no previous recorded instance of any lesion were classified as TRIM0 (n = 1554). The first instance of any hoof lesion was classified as LESION1 (n = 238). This classification was retained until a subsequent TRIM occurred - recorded as TRIM1 (n = 632). The next unique instance of any lesion following a TRIM1 was classified as LESION2 (n = 86). Any LESION events occurring after LESION1 or LESION2 without a subsequent TRIM were considered a hoof lesion recurrence and classified as LESIONRE1 (n = 164) and LESIONRE2 (n = 22), respectively. TRIM events after LESION2 or LESION2RE (n = 104) or LESION events after LESIONRE1 or LESIONRE2 were classified as LESION_OTHER (n = 160). The AUTO scores from -28 to -1 days prior to the HT event were summarized into weekly scores and included if cows had at least 1 observation per week in the 4 weeks before the event. For all weeks, LESION cows had a higher median AUTO score than TRIM cows. Cows with TRIM0 had the lowest and most consistent median weekly score compared to LESION and other TRIM classifications. Before HT cows with TRIM0 and TRIM1, both had median score increases of 1 across the 4 weeks, while the LESION categories had an increase of 4 to 8. Scores increased with each subsequent LESION event compared to the previous LESION event. Cows with SU lesions had the highest median score across the 4 weeks, WLD had the largest score increase, and DD had the lowest median score and score increase. When grouping a LESION event by leg the hoof lesion was found on, the AUTO scores for four groups displayed comparable median values. Due to the difference between TRIM and LESION events, this technology shows potential for the early detection of hoof lesions.

Exploring the impact of green technology, renewable energy and globalization towards environmental sustainability in the top ecological impacted countries

Green environmental technologies, renewable energy and globalization are interconnected pillars that impact economies and societies. By effectively fostering these resources, environmental policies can help achieve economic prosperity, sustainable development and environmental protection. The current study seeks to address environmental and economic predicaments by empirically examining the role of green technology and renewable energy in influencing the load capacity factor and ecological footprint with the highest ecological impact. Given that these nations are also significant players in the global economy, we also examine the impact of Globalization and economic growth within econometric investigation. The current study uses moments quantile regression (MMQR) as an econometric strategy to report that while innovations in green technology and renewable energy positively influence load factor capacity and help reduce ecological footprint, certain facets of globalization worsen the ecological footprint, thereby unsettling its load factor capacity. These findings underscore the pressing need for policymakers to prioritize integrating environmental and trade policy agreements to ensure progress towards long-term environmental goals.

A Systematic Review on the Path to Inclusive and Sustainable Energy Transitions

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.

Factors affecting ecological footprint in Saudi Arabia: a panel data analysis

The global environment has witnessed an increase in environmental risks over the last few decades due to the rising demand for energy to support economic development and urbanization. These environmental risks are exacerbated by the escalating human activity that depletes natural resources. Therefore, analyzing factors affecting Ecological Footprint (EFP), which include many variables such as urbanization, energy consumption, natural resources, economic growth, and technological innovation, is essential to achieve sustainable development. Urbanization is a key driver of economic growth. Achieving economic development requires the utilization of natural resources and energy which increase the EFP. Therefore, the focus on technological innovation is essential to reduce the EFP. Despite the critical environmental and economic implications of factors affecting EFP, studies on this area are lacking, especially across Middle Eastern countries, and present contradictory findings. Therefore, the main aim of this study is to investigate the effect of urbanization, energy consumption, natural resources, economic growth, and technological innovation on the EFP in Saudi Arabia. To this end, the study utilizes an autoregressive distributed lag (ARDL) model, which is considered the most suitable econometric approach when variables are stationary at I (0) or integrated of order I (1), based on data collected from various international sources for the period spanning from 1990 to 2022. In both the long run and the short run, empirical findings show that urbanization, natural resources, and technological innovation decrease the EFP, while energy consumption and economic growth increase the EFP. These results reveal that energy policies need to be addressed, and economic growth is unable to lower the EFP due to a lack of connection between economic policies and environmental goals. On the other hand, the study shows that urban policies and the management of natural resources are effectively linked to environmental goals. These findings have several significant policy implications for reducing the EFP. Suggestions include effectively linking economic policies to environmental goals by electrifying the economy. Additionally, several procedures should be considered, including replacing current carbon-based energy with renewable sources, reevaluating the pricing of the energy system, increasing taxes on carbon-based energy, and reassessing current energy laws and regulations.