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Natural wood, while abundant and low-cost, has limited mechanical properties for certain applications. As a result, there is growing interest in engineered wood, which offers enhanced strength and durability to [...]

Background: This study investigates the long-term effects of agricultural natural gas emissions on ecological footprints across 19 European countries from 2006 to 2020. Employing Cross-Sectional Distributed Lag and Cross-Sectional Autoregressive Distributed Lag models, the research aims to deepen the understanding of agricultural emissions' dynamics and their impact on ecological sustainability. Results: The study reveals that reductions in renewable energy consumption negatively affect ecological footprints, indicating the crucial role of renewable energy adoption in environmental sustainability. The findings emphasize the need for policies that promote renewable energy and address barriers to its adoption. Additionally, the research identifies significant correlations between population growth and ecological footprints, demonstrating the influence of demographic factors on environment. The analysis highlights significant correlations between population growth and ecological footprints, underscoring the importance of demographic trends in shaping environmental policy. Conclusions: The policy implications of this study include advocating for sustainable urban planning and incentivizing eco-friendly agricultural practices to mitigate emissions and promote environmental sustainability. By enhancing our understanding of the relationship between agricultural emissions and ecological footprints, this research provides valuable insights for evidence-based environmental policymaking in European countries. [ABSTRACT FROM AUTHOR]

The sustainable dietary transitions must account for the varied culinary traditions and regional food cultures to ensure a balanced and culturally sensitive approach. This study aims to explore the impact of regional preferences on culinary culture and examine ways to achieve environmentally friendly dietary transitions in China by considering the differences in the environmental burdens of various cuisines. We investigate the eight Chinese culinary traditions and depict their respective popularity in China at the city level via POI characterization based on ArcGIS. Water, carbon, and ecological footprints are selected to investigate the environmental performance of each type of cuisine. Results show that the eight cuisines vary significantly in spreads of influence and environmental performances. Chuan cuisine is the most widely disseminated cuisine with a relatively low environmental burden. The remaining seven cuisines have limited spreads of influence and are mainly distributed in small cultural regions and the surrounding areas. Hui Cuisine, Zhe Cuisine, and Min Cuisine have the worst environmental performances. This study reveals the significant impact of regional cuisines on the environmental footprint of diets and highlights the necessity of considering this impact when promoting dietary transition, especially in culturally diverse countries. [ABSTRACT FROM AUTHOR]

Globally, we face a policy dilemma between desiring more economic growth and safeguarding the deteriorating ecosystem, which have an apparent trade-off. Consequently, financing growth often comes with strong concerns for the ecological implications, which is yet to be empirically resolved. Hence, the current study examined the growth and environmental effects of financial development from three angles, each with a robust indicator, comprising financial development index, financial institution index, and financial market index. The scope of this study was financial development in 30 selected African countries from 1996 to 2021. This study extends the frontier of knowledge by estimating the moderating roles of regulatory quality and digitalization coupled with other control variables: renewable and nonrenewable energy, government expenditure, trade openness, and foreign direct investment. The empirical evidence relies on estimators such as common correlated effects (mean group), the system-generalized method of moment, and method of moment quantile regression. The findings from this study reveal that financial development propels economic growth but to the detriment of the ecosystem. However, when the interactive effects of regulatory quality and digitalization are considered, the negative externalities of growth-induced financial development are reduced. Furthermore, control variables such as renewable energy and foreign direct investment promote growth without escalating ecological damage. This is in contrast to nonrenewable energy, government expenditure, and trade openness, which propel economic growth at the expense of the ecological system. Policy recommendations that balance the trade-off between the two measures are put forward based on the research outcomes. [ABSTRACT FROM AUTHOR]

The Paris Accord emphasizes the obligation of nations to contribute to Nationally Determined Contributions and mitigate environmental pollution. Consequently, countries worldwide are actively seeking to discern the influence of various factors on improving environmental quality. Among these factors, innovation and financial sector development are indispensable in curtailing environmental pollution. Employing panel data from 1996 to 2018, we investigate the tripartite relationship between environmental pollution, innovation, and financial development within the G-20 countries. The findings of this study reveal that both innovation and financial development contribute to reducing environmental pollution in the long term. However, no significant relationship is observed in the short term between innovation, financial development, and environmental pollution. To further explore these dynamics, we conduct separate analyses for each country to examine the connection between innovation, financial development, and environmental pollution. Our results indicate that the short-term impact of innovation varies considerably across most G-20 countries. Nonetheless, in the long term, enhanced innovation catalyzes diminishing environmental pollution. These findings underscore the significance of innovation as a pivotal factor in alleviating environmental pollution through innovations in products, processes, and technologies. Similarly, financial sector development plays a vital role in promoting environmental quality by facilitating initiatives such as green lending and supporting research on green technologies and renewable energy solutions. Consequently, countries should reassess their policies and take proactive measures to address and mitigate environmental pollution effectively. [ABSTRACT FROM AUTHOR]

Environmental degradation poses a significant challenge globally, exhibiting diverse manifestations across regions and ecosystems. This study aims to decipher the factors contributing to environmental degradation, with a specific focus on Brazil, Russia, India, China, South Africa, and Türkiye countries, spanning the period of 1990–2018. This investigation revealed intricate interdependencies among financial institutions, market dynamics, energy utilization, demographic shifts, and ecological impacts. According to the findings of studies based on Durbin‐Hausman, Westerlund, CS‐ARDL cointegration, Juodis, Karavias, and Sarafidis and Dumitrescu‐Hurlin causality tests, policies that encourage financial inclusion and energy efficiency should be developed to prevent environmental degradation. On the other hand, attention has been given to the impact of population growth on environmental policy decisions. This research contributes valuable information to the ongoing discourse on the interrelationship between financial inclusion, the energy population, and environmental protection. [ABSTRACT FROM AUTHOR]

This paper examines the impact of informal economy and ecological footprint on environmental regulation for a sample of 25 Sub-Saharan Africa economies (SSA) countries from 1991 to 2017. The results obtained from the techniques of static panel (Pooled ordinary least squares (POLS), random effects (RE), fixed effects (FE), and panel corrected standard error (PCSE)) as well as from dynamic panel (generalized method of moments in differences (D-GMM), and generalized method of moments in system (S-GMM)) were all consistent. They showed that the environmental regulation has a significant positive impact for both informal economy and ecological footprint in the selected economies. Regarding the relation between ecological footprint and per capita gross domestic product (GDP), an inverted U-shaped environmental Kuznets curve is verified. The study concludes that weak environmental regulation in the region reinforces informal economy and environmental pollution. Hence, findings from this study can help policymakers in the region to have a better understanding of the role of environmental regulation in reducing informal economy and environmental degradation. [ABSTRACT FROM AUTHOR]

Abstract\nHIGHLIGHTSThis study explores the dynamic effects of road transportation infrastructure, transport taxes, economic growth, trade openness, and environmental technologies on the ecological footprint using three quantile regression techniques: Simultaneous, Powell, and Method of Moments Quantile Regression (MMQR). These variables are selected for their significant influence on both economic outcomes and environmental sustainability, reflecting the interconnectedness of transportation systems, government policies, and technological advancements in shaping ecological impacts. Based on panel data from 19 European countries between 1995 and 2020, the results reveal that investments in road infrastructure and higher transport taxes contribute to reducing ecological footprint. At the middle and high quantiles, advancements in environment-related technologies further decrease the ecological footprint, whereas trade openness tends to worsen ecological quality. Importantly, the relationship between GDP and the ecological footprint follows an inverted U-shape, confirming the Environmental Kuznets Curve (EKC) hypothesis across all quantiles, which suggests that economic growth can support environmental sustainability in the long run. These findings are validated by robustness checks using fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegration regression (CCR) models. Key policy implications include the need for targeted investments in road infrastructure and transport tax strategies, tailored to national contexts, along with technology-driven strategies to curb environmental degradation. Lastly, the panel causality test reveals unidirectional causality from economic growth, road transportation infrastructure, and environment-related technologies to ecological footprint, highlighting their significance as short-term contributors to environmental improvement.Exploring the ecological effects of road infrastructure and transport taxes.Investments in road infrastructure can improve overall environmental quality.Development of environmental technology helps reduce ecological footprint levels.Revealing an inverted U-shaped curve between growth and ecological footprint.The ecological impact of trade openness differs across various quantiles.Exploring the ecological effects of road infrastructure and transport taxes.Investments in road infrastructure can improve overall environmental quality.Development of environmental technology helps reduce ecological footprint levels.Revealing an inverted U-shaped curve between growth and ecological footprint.The ecological impact of trade openness differs across various quantiles. [ABSTRACT FROM AUTHOR]

Pursuing sustainable development has emerged as a paramount global objective, with the United Nations' Sustainable Development Goals (SDGs) serving as a guiding framework. Increasing environmental degradation is associated with increased greenhouse gas emissions, deforestation, industrial waste, fossil fuel depletion, and loss of biodiversity. This study has analyzed the effect of financial inclusion on ecological sustainability while controlling the effect of financial development, energy consumption, economic growth, urbanization, and trade openness in the Next‐11 economies from 1995 to 2019. The study develops the financial inclusion index through principal components analysis by inculcating three demand‐side and three supply‐side factors of financial inclusion. To analyze the developed model, various first‐generation and second‐generation techniques are applied. The results of Westerlund co‐integration reveal significant long‐run co‐integration among the series. The long‐run elasticities are estimated through dynamic common correlated effect estimation and generalized method of moments where results reveal that FI helps to secure environmental sustainability by reducing the ecological footprint, hence it works on the SDG framework. Economic growth and financial development are found to be the root causes of increasing ecological footprint. So, it is the penetration of excessive credit, not the financial inclusivity which needs to be directed toward sustainability. It is suggested that the governments of Next‐11 countries should steer the capital toward sustainable usage and should continue facilitating financial services to curtail environmental degradation. Our findings have significant repercussions for Next‐11 countries, giving decision makers fresh perceptions of financial inclusion and development implications. [ABSTRACT FROM AUTHOR]

The sustainable dietary transitions must account for the varied culinary traditions and regional food cultures to ensure a balanced and culturally sensitive approach. This study aims to explore the impact of regional preferences on culinary culture and examine ways to achieve environmentally friendly dietary transitions in China by considering the differences in the environmental burdens of various cuisines. We investigate the eight Chinese culinary traditions and depict their respective popularity in China at the city level via POI characterization based on ArcGIS. Water, carbon, and ecological footprints are selected to investigate the environmental performance of each type of cuisine. Results show that the eight cuisines vary significantly in spreads of influence and environmental performances. Chuan cuisine is the most widely disseminated cuisine with a relatively low environmental burden. The remaining seven cuisines have limited spreads of influence and are mainly distributed in small cultural regions and the surrounding areas. Hui Cuisine, Zhe Cuisine, and Min Cuisine have the worst environmental performances. This study reveals the significant impact of regional cuisines on the environmental footprint of diets and highlights the necessity of considering this impact when promoting dietary transition, especially in culturally diverse countries. [ABSTRACT FROM AUTHOR]

The aim of this study is to examine the relationship between export diversification, economic growth and ecological footprint of D-8 (Turkiye, Indonesia, Iran, Egypt, Pakistan, Malaysia, Nigeria, Bangladesh, Indonesia, Pakistan, Malaysia, Nigeria and Bangladesh) countries for the period 1995-2022 using panel Autoregressive Distributed Lag (ARDL) analysis method. In addition, causality test with Emirmahmutoğlu and Köse (2011) panel causality test is also applied. According to the panel ARDL results, export diversification decreases the ecological footprint in both the short and long run, while economic growth increases it in the short run. According to the results of the panel Fisher Test Statistic in the Emirmahmutoğlu and Köse causality test, there is a bidirectional causality between export diversification (EXPD), economic growth (GDP) and ecological footprint (EF). Looking at the individual country results for EXPD and EF, bidirectional causality was found in Indonesia, Iran, Egypt, Malaysia, unidirectional causality from EXPD to EF in Nigeria and unidirectional causality from EF to EXPD in Turkiye. When individual country results for GDP and EF are analyzed, bidirectional causality is found in Iran, unidirectional causality from GDP to EF in Indonesia, Malaysia, Nigeria and unidirectional causality from EF to GDP in Turkiye, Egypt, Pakistan, Bangladesh. Looking at the individual country results for GDP and EXPD, unidirectional causality from GDP to EXPD was found in Turkiye, Indonesia, Iran, Malaysia, Nigeria, Bangladesh and unidirectional causality from EXPD to GDP in Egypt. As a result, if export diversification is increased in the D-8 countries, environmental damage will be reduced. [ABSTRACT FROM AUTHOR]

Ecological footprint is an important indicator used to measure the impact of human activities on ecosystems. This measure reflects how people consume natural resources, the waste they generate, and the state of biodiversity. In modern times, reducing the ecological footprint is an important issue for protecting ecosystems and ensuring sustainable development. The first aspect of the ecological footprint is the efficient use of natural resources. Proper management of water and energy aims to minimize the waste of these resources. The use of renewable energy sources, such as solar and wind power, helps reduce carbon emissions. This approach not only preserves the health of ecosystems, but also meets people's energy needs in a more sustainable way. The second important issue is waste management. Reducing waste in production processes, promoting recycling and recirculation of used materials contributes to reducing the environmental footprint. Each individual can help this process by making small changes in their daily life; for example, reducing the use of plastic and choosing more environmentally friendly products. Biodiversity conservation is also an important part of the ecological footprint. The health of ecosystems is related not only to the availability of natural resources, but also to the diversity of flora and fauna. Implementation of conservation projects to protect rare and endangered species ensures the sustainability of biological diversity. This also affects the strengthening of the relationship between people and ecosystems. Combating climate change is another important step in reducing our ecological footprint. Applying strategic approaches to reduce the carbon footprint is one of the most important tasks facing modern society. It also includes strategies for adapting to the effects of climate change. The active participation of the society in these issues makes it possible to achieve more effective results at the global level. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Administrative Sciences / Yonetim Bilimleri Dergisi is the property of Canakkale Onsekiz Mart Universitesi, Terzioglu Kampusu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Ecological footprint is an indicator that measures the impact of a person, community or activity on ecosystems. This includes the amount of resources consumed (water, energy, food, raw materials) and the waste generated during the processes of their production, transportation and consumption. An ecological footprint shows how the choices and behaviors a person makes in their daily life fit within the planet's ecological boundaries. This indicator is useful for understanding human impacts on the environment, promoting more sustainable use of resources, and combating climate change. Reducing the ecological footprint encourages the adoption of greener lifestyles and conservation of resources. Thinking about and reducing our ecological footprint is a critical step in protecting the future of our planet. Rethinking our consumption habits and moving to a more sustainable lifestyle is important not only for ourselves, but also for future generations. The small steps each of us can take can play a big role in preventing global environmental change and creating a healthier planet. Reducing our ecological footprint is essential for maintaining a healthy environment and sustainable use of natural resources. To this end, we aim to create a more sustainable future by combining our individual and collective efforts. [ABSTRACT FROM AUTHOR]

Cultivated land ecological compensation (CLEC) is an important way to solve regional development imbalance and cultivated land problems, and the scientific quantification of the ecological value of cultivated land is the key to CLEC. This study quantified the total amount and urgency of CLEC in China's main grain-producing region using the cropland ecological footprint (EF) and ecosystem service value (ESV) methods. Furthermore, this study analyzed the comprehensive zoning of CLEC considering natural and economic development. The results showed that the spatial distribution of EFs and the ecological carrying capacity of cultivated land in Henan Province are similar, presenting the spatial characteristics of being high in the southeast and low in the northwest; the cultivated land in most of the counties and districts is in a state of ecological surplus, and the cultivated land resources are sufficient to support their own consumption needs. Henan Province as a whole is an ecologically compensated region, with a compensation amount of CNY 1.39 billion, and the total amount of compensation is in a positive value of 94.94%. The Southwest Yu and North Yu economic zone of Henan are the areas of high and low values of cultivated land compensation. The priority compensation region is the most extensive and widely distributed type in the five regions of Henan Province, accounting for 55% of the counties and districts. The degree of compensation is most urgent in the Huanghuai, Southwest Yu, and North Yu economic zones. This study's findings provide new ideas for the development of differentiated ecological compensation policies, and provide references for the participation of multiple market participants and the diversification of compensation forms. [ABSTRACT FROM AUTHOR]

This work exhibits an extensive panel dataset and data descriptor on the crowdfunding-renewable energy nexus. This new source of data may find large use in energy economics, econometrics and policy, as well as financial and microfinance analysis. The referred dataset is made of 4704 observations to related to crowdfunding campaigns from 2009 to 2021. Data can be used for diverse energy econometrics studies and data analysis, especially for socioeconomic and environmental aspects of energy innovation and efficiency investigations. The contribution offered by this paper is the correlation between two salient aspects for the first time. We have cross-referenced the data related to crowdfunding campaigns with the sustainable orientation of the countries. The extrapolated data from two datasets—i.e., Zephyr Bureau Van Dijk and the World Bank's World Development Indicators—form a new dataset that serves as a tool, as well as a guide, for future studies related to renewable energy, fintech, economic, innovation and entrepreneurship issues. Moreover, this contribution may stimulate the development of new policies and strategies aimed at supporting the transition towards the circular economy and sustainable development by creating positive externalities on a large scale by increasing social welfare and resilience applications. [ABSTRACT FROM AUTHOR]

Recently, the globe has been facing several challenges, and environmental deterioration has become more prominent. Therefore, to deal with such environmental issues, the globe has tried to introduce several green initiatives via the Kyoto Protocol, the Paris Agreement, and the Sustainable Development Goals, but the problem remains intact. However, practitioners have no more choice but to exclude emerging economies from this race. For instance, to understand the response of emerging economies toward a sustainable environment, this study considers BRICS (Brazil, Russia, India, China and South Africa) economies. Similarly, the current empirical study utilizes innovative environmental determinants such as real income, urbanization, entrepreneurial activities, per capita renewable energy, financial innovation and environmental policy for selected regions from 2000 to 2021. However, the findings of the advanced estimators' series show the significant contribution of per capita green energy consumption, environmental policy and entrepreneurial activities toward environmental sustainability. In contrast, income, financial inclusion and urbanization contribute to environmental damage. Because of green energy supportive behavior, this study makes an additional step to investigate the mediating effect on financial inclusion, environmental policy and entrepreneurship. However, the mediating effect only supports environmental policy and entrepreneurship activities to reduce environmental pressure. From the policy perspective, the specified economies should allocate their financial resources to clean & green projects to attain the desired level of sustainability. [ABSTRACT FROM AUTHOR]

Unsustainable economic development and ecological degradation are major challenges for human beings. Human welfare can be obtained by promoting transition towards cleaner and more efficient energy usage, adopting environmental legislation, and reforming financial system. However, prior studies overlook the role of energy transition, environmental policies, and green financial policies on ecological footprint. Hence, this research investigates the heterogeneous effects of energy transition, environmental policies, and green financial policies on environmental footprint of 27 OECD nations. For this purpose, we examine the period from 2000 to 2019 using the non-additive fixed effects quantile regression. Our results show that energy transition exerts a harmful impact on ecological sustainability in countries with relatively better ecological quality while leading to an improvement in ecological sustainability in countries with relatively worse ecological quality. It is concluded that environmental policy and green financial policy significantly reduce ecological footprint in OECD countries. The favorable impact of environmental policy intensifies as ecological quality degrades while the favorable impact of green financial policy varies considerably across the distribution of ecological footprint. These findings have significant policy implications in the quest for environmental sustainability. [ABSTRACT FROM AUTHOR]

The circular economy practices contribute to sustainable development by maximising efficiency, utilising renewable resources, extending product lifespans, and implementing waste reduction strategies. This study investigates the individual impacts of four sources of the circular economy on the ecological footprint in Germany, a country that is among the pioneers in establishing a comprehensive roadmap for the circular economy. The four sources examined are renewable energy consumption (REC), recycling, reuse, and repair of materials. Using time series data from 1990 to 2021, the study employed the dynamic autoregressive distributed lag (ARDL) simulation technique and also applied kernel-based linear regression (KRLS) to test the robustness of the results. The findings revealed that reuse practices significantly reduce the ecological footprint in both the short and long run. REC and repair also substantially decrease the ecological footprint, as shown by the simulation analysis. Conversely, while recycling is generally considered crucial for minimising environmental impact, in this study, it was found to contribute to environmental degradation. This paradox may be attributed to the nascent state of the recycling industry and data limitations. The results from KRLS confirm the findings of the dynamic ARDL. It is recommended that policymakers develop measures that are appropriate, efficient, and targeted to enhance the role of each source of the circular economy in reducing the ecological footprint in Germany. The major limitation of the study is its reliance on the indirect measures of circular economy attributed to the non-availability of data on direct measures. [ABSTRACT FROM AUTHOR]

This study examines the spillover of pollution among the 26 European Union (EU) countries from 1995 to 2020. In order to quantify pollution spillovers among the countries, we estimated the Environmental Kuznets Curve (EKC) using spatial econometric methods. Our research is unique in that it investigates ecological footprint spillovers for EU countries. This study also considers the direct and indirect effects of renewable and fossil energy consumption and globalization on environmental degradation in EU countries. The empirical results favor the validity of the EKC hypothesis. Our results support the presence of positive and significant ecological footprint spillovers among EU countries. Our spatial estimates also reveal the significant spillover impact of explanatory variables on the ecological footprint. The ecological footprint of the local country is declining owing to the consumption of renewable energy in neighboring countries. Furthermore, the fossil energy consumption of the local and neighboring countries has a positive impact on the ecological footprint. Evidence obtained from our spatial estimates provides useful insights to policymakers in developing appropriate environmental policies to combat climate change. [ABSTRACT FROM AUTHOR]

Introduction: Air pollution has been raised as one of the most important risk factors contributing to citizens᾽ health and the emergence of environmental problems in recent years. Determining the emission rate and the costs imposed by fossil fuel pollutants on human health is an effective approach that can provide a financial estimation from harmful effects of these compounds for urbanized and industrial managers. This study considered the estimation of emissions, external costs, and ecological footprints of NOx, SO2, SO3, CO, SPM, CO2, CH4, and N2O resulting from the consumption of three types of fossil fuels including natural gas, gasoline, and diesel in an industrial company. Material and Methods: The scope of study includes an industrial company in the west of Tehran, Iran. Firstly, data about the consumption of fossil fuels was collected in the main consumer sectors such as engine rooms, private and industrial vehicles in 1401. Next, the emission rate of the pollutants was estimated by using the energy balance sheet notified by the Ministry of Energy and Electricity Deputy in 1399. By having the amount of fuel consumed from each source and considering basic amount of the social cost of each pollutant, initial estimation of the social cost of pollutants was calculated. Subsequently, correction factors were assigned and the costs were updated (based on constant prices in 1381). Ultimately, ecological footprint was computed with regard to the total amount of fossil fuels consumed in 1401. Results and Discussion: According to the results, 1943880.64 cubic meters of natural gas were consumed in the engine room sector. Furthermore, 64435 liters of gasoline and 461482 liters of diesel were utilized by private and heavy industrial vehicles, respectively. In 1400, the emission rate of NOx, SO2, SO3, CO, SPM, CO2, CH4 and N2O was 17278.68, 7694.17, 90.34, 25972.46, 6400.79, 88860.01, 187.43, and 78.81, respectively. CO2 pollutant with 4088860.01 kg took into account the highest and SO3 pollutant with 90.34 kg had the lowest emission rate in the year. Based on the emission coefficient obtained from the Iran energy balance in 1399, the social cost for NOx, SO2, CO, SPM, CO2, CH4 were calculated 437081507, 592005417, 205312306, 1160386931, 1722935861, 1659463 Rials per year, respectively, which shows CO2 and CH4 gases impose the highest and lowest social cost to the environment, respectively. Moreover, total social cost based on the exchange rate and inflation rate approach was calculated about 4119381486 and 16383725983 billion Rials, respectively (after the coefficient factor was considered for constant prices in 1381). The calculations related to the estimation of the ecological footprint indicate that gasoline with 22.87 and natural gas with 9.33 hectares have created the greatest and the least ecological footprint. In addition, the total ecological footprint was calculated approximately 50.93 hectares. Conclusion: The social cost of pollutants in this study showed different results based on the volume of their emission. While the engine room had the largest share in greenhouse gas emissions with the amount of 26655364.69 Kg, the forklift trucks imposed the largest social cost with the amount of 1808115554 Rials due to the high emission rate of NOx, SPM and SO2 pollutants and also, the higher social cost of these three pollutants compared to the other ones. This method can be used as a model in calculating the social costs of released pollutants within industrial companies and the results can be monitored in the context of their environmental planning so that by identifying the centers of pollution and prioritizing them, correct budgeting should be set to reduce the amount of emissions and social cost of pollutants. [ABSTRACT FROM AUTHOR]

The relationship between energy consumption, environmental pollution, and economic growth has been the subject of intense research over the past few decades. However, empirical evidence remains scarce and with mixed results. This paper throws a new light on the nonlinear impact of environmental degradation on economic growth depending on the level of energy intensity. This study provides an original approach in the context of Malaysia by utilizing an innovative threshold regression approach suggested by Hansen (Econometrica 68(3):575–603, 2000), which allows the data to endogenously divided into two regimes with an exogenous threshold variable. We find strong evidence that environmental degradation has a nonlinear effect on economic growth in Malaysia. In particular, CO2 has a negative effect on growth, but only after the primary energy intensity reaches a threshold level of 91.33 tons of oil equivalent (TOE)/GDP and the final energy intensity reaches 51.56 TOE/GDP, respectively. Our results are robust in terms of ecological footprint. Several policy implications are highlighted which aim to encourage sustainable energy use for sustainable growth in the future. [ABSTRACT FROM AUTHOR]

Industrialization, financial activities, and intensive human activities have reduced continuous habitats to smaller patches, threatening the safety of the ecosystem. However, as technological innovation and digitization increase, this negative impact will be somewhat neutralized. To address this issue, the current study examined the role of economic, socioeconomic, and green indicators on the ecological footprint in the Gulf Cooperation Council (GCC). By using data from 1990-2019, we have applied multiple panel tests to determine the long-run and short-run relationships among the variables. The findings show that economic growth increases the long-term ecological footprint in the GCC. The human development index and financial inclusion coefficients are also positively and significantly linked with the ecological footprint. The socioeconomic index, however, reveals a negative relationship between ecological footprint and GCC. Similarly, digitalization and environmental technologies have a negative and major impact on the ecological footprint. It indicates that green growth factors contribute to long-term improvements in environmental quality. So, GCC nations should emphasize investing in green growth factors and enact strict environmental regulations to safeguard their country from environmental problems. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to determine the effect of the industrial sector, renewable energy consumption and nonrenewable energy consumption in Indonesia on the ecological footprint from 1990 to 2020 in the short and long term. Design/methodology/approach: This paper uses vector error correction model (VECM) analysis to examine the relationship in the short and long term. In addition, the impulse response function is used to enable future forecasts up to 2060 of the ecological footprint as a measure of environmental degradation caused by changes or shocks in industrial value-added, renewable energy consumption and nonrenewable energy consumption. Furthermore, forecast error decomposition of variance (FEVD) analysis is carried out to predict the percentage contribution of each variable's variance to changes in a specific variable. Granger causality testing is used to enhance the analysis outcomes within the framework of VECM. Findings: Using VECM analysis, the speed of adjustment for environmental damage is quite high in the short term, at 246%. This finding suggests that when there is a short-term imbalance in industrial value-added, renewable energy consumption and nonrenewable energy consumption, the ecological footprint experiences a very rapid adjustment, at 246%, to move towards long-term balance. Then, in the long term, the ecological footprint in Indonesia is most influenced by nonrenewable energy consumption. This is also confirmed by the Granger causality test and the results of FEVD, which show that the contribution of nonrenewable energy consumption will be 10.207% in 2060 and will be the main contributor to the ecological footprint in the coming years to achieve net-zero emissions in 2060. In the long run, renewable energy consumption has a negative effect on the ecological footprint, whereas industrial value-added and nonrenewable energy consumption have a positive effect. Originality/value: For the first time, value added from the industrial sector is being used alongside renewable and nonrenewable energy consumption to measure Indonesia's ecological footprint. The primary cause of Indonesia's alarming environmental degradation is the industrial sector, which acts as the driving force behind this issue. Consequently, this contribution is expected to inform the policy implications required to achieve zero carbon emissions by 2060, aligned with the G20 countries' Bali agreement of 2022. [ABSTRACT FROM AUTHOR]

This study examines how GDP, renewable energy, population, and industrialization affect ecological footprints in six Balkan nations from 1990 to 2022. The six Balkan countries are Albania, Bulgaria, Greece, Croatia, Romania, and Slovenia. The research applied the normality test, unit roots, and cointegration tests to conduct stationary testing. The study used three econometric tools: Pooled-OLS, Fixed-OLS, and D-GMM methods to get robust results. Findings show that GDP and squared coefficients support EKC. This means that the ecological footprint initially rises because of the rise in GDP; after specific points, the ecological footprint declines. Balkan countries fit the reversed U-shaped EKC hypothesis after achieving economic development. Surprisingly, renewable energy shows a positive coefficient, challenging the anticipated positive environmental impact. This underscores the necessity for comprehensive assessments of renewable technologies to minimize unintended consequences. Similarly, fossil fuel consumption exhibits a positive coefficient, affirming its detrimental impact on ecological resilience. While contributing to economic growth, industrialization demonstrates a positive coefficient on environmental resilience, suggesting the need for sustainable industrial practices. Furthermore, the population displays a negative coefficient, affirming its potential role in curbing ecological vulnerability and emphasizing the significance of responsible demographic management. [ABSTRACT FROM AUTHOR]

Environmental problems caused by human activities have been raised as a serious challenge for global sustainable development in recent decades. One of the key concepts in this field is the ecological footprint, which refers to the consumption of natural resources by human society and compared to the concept of biological capacity, which indicates the ability of the earth to meet human needs and absorb waste; it evaluates the ecological deficiency of the region. The present study analyzed the biological products in order to calculate the load and pressure on nature as a result of human exploitation and the capacity of the biosphere to provide the land needed for carbon absorption, energy consumption, transportation and etc. In this research, the ecological footprint method with the global hectare (gha) measurement unit has been used to analyze the data, and the ecological deficit has been estimated for the townships Mazandaran province. The results showed that the per capita ecological deficit of the entire province in year of 2021 was - 0.49 global hectares for each person, which indicated the imbalance between economic activities and environmental protection, as well as excessive consumption of natural resources. Ramsar was the most unsustainable township with the highest per capita ecological deficit (1.03 hectares), and Golugah was the most sustainable region in the province with the highest per capita ecological reserve (2.5 global hectares). The research can create a platform for decision makers and officials to take appropriate measures and make informed decisions to preserve the environment and sustainable development of the province. [ABSTRACT FROM AUTHOR]

Copyright of Çankırı Karatekin University Journal of the Faculty of Economics & Administrative Sciences is the property of Cankiri Karatekin University, Faculty of Economics & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Background This study investigates the long-term effects of agricultural natural gas emissions on ecological footprints across 19 European countries from 2006 to 2020. Employing Cross-Sectional Distributed Lag and Cross-Sectional Autoregressive Distributed Lag models, the research aims to deepen the understanding of agricultural emissions’ dynamics and their impact on ecological sustainability. Results The study reveals that reductions in renewable energy consumption negatively affect ecological footprints, indicating the crucial role of renewable energy adoption in environmental sustainability. The findings emphasize the need for policies that promote renewable energy and address barriers to its adoption. Additionally, the research identifies significant correlations between population growth and ecological footprints, demonstrating the influence of demographic factors on environment. The analysis highlights significant correlations between population growth and ecological footprints, underscoring the importance of demographic trends in shaping environmental policy. Conclusions The policy implications of this study include advocating for sustainable urban planning and incentivizing eco-friendly agricultural practices to mitigate emissions and promote environmental sustainability. By enhancing our understanding of the relationship between agricultural emissions and ecological footprints, this research provides valuable insights for evidence-based environmental policymaking in European countries.

Industrialization, financial activities, and intensive human activities have reduced continuous habitats to smaller patches, threatening the safety of the ecosystem. However, as technological innovation and digitization increase, this negative impact will be somewhat neutralized. To address this issue, the current study examined the role of economic, socioeconomic, and green indicators on the ecological footprint in the Gulf Cooperation Council (GCC). By using data from 1990–2019, we have applied multiple panel tests to determine the long-run and short-run relationships among the variables. The findings show that economic growth increases the long-term ecological footprint in the GCC. The human development index and financial inclusion coefficients are also positively and significantly linked with the ecological footprint. The socioeconomic index, however, reveals a negative relationship between ecological footprint and GCC. Similarly, digitalization and environmental technologies have a negative and major impact on the ecological footprint. It indicates that green growth factors contribute to long-term improvements in environmental quality. So, GCC nations should emphasize investing in green growth factors and enact strict environmental regulations to safeguard their country from environmental problems.

Several existing studies show that macroeconomic uncertainties intensify global environmental and climate challenges, putting the globe at risk of not being able to achieve the United Nations' Sustainable Development Goals by 2030. In this study, we provide global evidence on the role of energy-related uncertainty in the energy – environment dilemma between 1996 and 2021. We employ three distinct environmental indicators – load capacity factor (LCF), carbon dioxide emissions (CO2), and ecological footprint (EFP) – alongside a comprehensive global energy-related uncertainty index and time-frequency-quantile methods based on the Wavelet Quantile Correlation, Cross-Quantilogram, and Wavelet Local Multiple Correlation with Dominance. The empirical results suggest negative and strong nonlinear dependencies between energy-related uncertainty and the LCF across periods and quantiles. The results further suggest that the energy-related uncertainty has positive and strong nonlinear dependences not only with CO2 emissions but also EFP across various periods and quantiles. The results further suggest that the dependences between energy-related uncertainty and environmental indicators vary across periods and quantiles, with evidence of stronger dependency structures in the long run. These findings underscore the substantial influence of energy-related uncertainties on contemporary environmental challenges. We suggest that governments and policymakers need to reshape policy directives toward mitigating the environmental effects of energy-related uncertainties. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the impact of export product concentration on the ecological footprint in the European Union between 1995 and 2018, using the environmental Kuznets curve framework. We utilized the pooled mean group/autoregressive distributed lag approach, which confirmed the environmental Kuznets curve hypothesis within the European Union. In addition, our findings reveal that export concentration has a negative impact on the ecological footprint, whereas energy consumption increases the ecological footprint. To further validate the obtained results, we conducted robustness checks using the fully modified ordinary least squares and dynamic ordinary least squares approaches, which validated the previous outcomes of the pooled mean group/autoregressive distributed lag approach. In the last step of our study, we employed the Dumitrescu–Hurlin causality analysis, which revealed a bidirectional causality involving the ecological footprint and energy consumption. These empirical findings directly result in valuable recommendations for policymakers. [ABSTRACT FROM AUTHOR]

This study examined the impact of information and communication technology (ICT) and the subcomponents of mobile, internet, and fixed telephone use on carbon dioxide emissions (CO2E) using a panel of 17 Middle East and North Africa (MENA) countries from 1995 to 2016 while controlling for economic growth, population, and energy consumption. Additionally, the study examined the country-specific impacts of ICT and its subcomponents on CO2E. Finally, the study forecasted and proposed the CO2E mitigation pathways for the studied countries. By employing the panel autoregressive distributed lag (PARDL) model, the findings indicated that ICT and its subcomponents increase CO2E in the long run, while in the short run, only ICT reduces CO2E. Specifically, a 1% expansion in ICT, mobile, internet, and fixed telephone use increases CO2E by 0.015%, 0.006%, 0.014%, and 0.061%, respectively, in the long run. Additionally, the findings showed that countries with high levels of CO2E, such as Iran and Saudi Arabia, have the highest environmental deterioration effect of ICTs, while countries with low levels of CO2E, such as Lebanon and Malta, have the lowest effect. Finally, the CO2E for the studied countries demonstrated an upward trend; however, by maximizing sustainable ICT use, sustainable economic growth, and clean energy use via upgrading ICT infrastructure, granting tax incentives and subsidies, and feed-in-tariffs, CO2E for the studied countries will witness a significant decline by 2050. [ABSTRACT FROM AUTHOR]

Despite the significant research on environmental issues, there has not been considerable investigation on the environmental Kuznets curve (EKC) hypothesis in the MENA nations using both CO2 emissions (CO2e) and ecological footprint (EF) environmental indicators in the same setting. Therefore, the primary goal of this research is to re-examine the EKC hypothesis in 18 MENA nations from 1990 to 2018 using a panel data model labeled the pooled mean group autoregressive distributed lags (PMG-ARDL). We employ CO2e and EF as environmental quality proxies to deal with all types of pollutants, not only air pollution, as well as the demand side of environmental assets. The outcomes of the econometric study revealed the absence of the EKC hypothesis using CO2e in contrast to EF where the hypothesis is held in the entire group and both oil-exporting and importing countries. Moreover, population and non-renewable energy significantly harm the environment in the three sub-sample groups of countries in this study. This is what requires the governments of these countries to strive more toward achieving environmental sustainability by preserving the environmental capacity of the region and reducing emissions. [ABSTRACT FROM AUTHOR]

The purpose of the study is to identify the impact of information and communication technologies and measures taken by telecommunications companies in China, Japan and South Korea on the environment of these countries.Materials and methods. Indexes of the ecological footprint (based on the Global Footprint Network data) and greenhouse gas emissions (based on the International Energy Agency data) for these countries are used as a measure of environmental assessment. Based on the Sustainability Reports of telecommunication companies in these countries (China Mobile, SK Telekom, KDDI and others), their strategies for environmental protection and achieving a zero carbon footprint are examined. The impact of information and communication technologies is assessed using indexes of the number of Internet users, fixed Internet access, mobile communications users per 100 people of the country’s population, the share of ICT goods and services in the total exports and imports of countries, as well as the growth index of IT investments in the private sector for Japan. For each country, a correlation matrix was constructed depending on the level of the logarithm of the ecological footprint (Y) on the logarithms of the listed indexes; the factors that most influence Y and are not multicollinear were selected. Based on the selected indexes, multiple regression models were developed for each country and their parameters were assessed.Results. For China and South Korea, a positive elasticity of the ecological footprint was obtained for the number of mobile phone users (for China) and fixed broadband Internet access (for South Korea). In addition, the import of ICT goods into a country reduces its environmental footprint, and the export of ICT services from the country leads to an increase in the index. For Japan, negative elasticities of the ICT sector indexes for the country’s ecological footprint were obtained, which is associated with measures taken by telecommunication companies to reduce their own consumption of electricity and other resources, as well as the widespread use of digital technologies for energy saving in other sectors of the Japanese economy.Conclusion. For China and South Korea, significant dependences of the country’s ecological footprint on the spread of digital technologies were obtained, and their diffusion entails an increase in the index. While this impact is not very large, the widespread adoption of 5G mobile communications in these countries should be taken into account, which could significantly increase the share of the ICT sector in the countries’ environmental footprint. At the same time, Japanese telecommunication companies are promoting environmental protection

Abstract BRICS nations as emerging economies have undergone a substantial structural transformation; however, achieving economic growth while sustaining the ecology is a pressing challenge for these economies. Nonetheless, one of the possible ways to achieve ecological sustainability is to promote clean energy use and green innovation backed by a strengthened political system. Thus, this study assesses the effect of disaggregated clean energy use (hydro and nuclear energy), green technology innovation, and political stability on the ecological footprint in BRICS countries from 1993 to 2022 while controlling for the impacts of natural resources rent, population growth, and GDP per capita. Using dynamic fixed effect and CS-ARDL estimators, the outcomes reveal that hydro and nuclear energy use and political stability induce the ecological footprint in BRICS countries. However, the empirical findings indicate that green technology innovation substantially reduces the ecological footprint. Therefore, from a policy perspective, the study encourages policy coordination among BRICS countries to embrace targeted policies to strengthen regulatory frameworks, promote innovations in technological know-how, and encourage the utilization of clean and sustainable energy to foster environmental sustainability. Graphical Abstract

In this study, the household consumption-related ecological footprint of lifestyles linked to panel housing estates and suburban neighbourhoods were compared in the case of Budapest and its suburbs. Our results show that the biggest parts of the ecological footprint are in both study areas the carbon, the cropland and the forest components, in line with earlier calculations. On the whole, the ecological footprint values are bigger in the suburban study area (2.63 gha/capita) compared to the panel housing estates (2.29 gha/capita), mainly because of the differences between the carbon uptake and the built-up land components. Beyond comparing the ecological footprint values of different residential areas, the study also contributes to the literature by addressing the improvement options of the respective areas through a rough model calculation on the reduction opportunities in both cases, resulting 36 percent in case of panel housing estates, and 47 percent in the suburban areas. Although these values have to be considered cautiously, they show significant opportunities in ecological footprint reduction in both types of residential areas supported by individual motivations, as well as by policy measures.

Ecological impairments are considered one of the most contentious and uncertain subjects in intercontinental mediums, and they are also considered a significant apprehension for the entire world. Therefore, environmentalists and policymakers have turned their deliberation from conventional economic expansion to green economic growth. Even though existing studies have deliberated numerous determinants of environmental degradation, financial development, economic policy uncertainty, globalization, and renewable energy influence on ecological footprint is comparatively unexplored simultaneously, especially in financially developed economies. Hence, the present study explored the impact of financial development, economic policy uncertainty, globalization, and renewable energy on ecological footprint from 1995 to 2021. After confirming the issue of potential cross‐sectional dependency, this study employs a second‐generation econometric procedure to estimate robust and consistent estimates. The estimated results from augmented mean group (AMG) and common correlated effect mean group (CCEMG) estimators explored that financial development and renewable energy significantly protect the environment. Conversely, globalization and economic policy uncertainty increase the overall level of ecological footprint in the region. Based on these estimated results, the present research suggests some feasible policy insinuations for accomplishing targets of the Sustainable Development Goals (SDG‐7 and SDG‐13). [ABSTRACT FROM AUTHOR]

The enormous ensembles of energy resources have elevated Sub‐Saharan Africa (SSA) to a prominent position in the world energy scene as a leading region in forming a sustainable energy future. However, over half of the population in the region lives without electricity and less than 20% of the population has access to clean fuels. The excessive reliance on fossil fuels such as coal, kerosene, and solid biomass has implications for environmental outcomes in SSA. Nevertheless, the environmental impact of energy poverty from the SSA perspective remains an under‐explored terrain in the research landscape. In this context, to address the pressing challenges of energy poverty and environmental sustainability, this study aims to explore the threat energy poverty poses on the ecological footprints, focusing on “land‐use, carbon footprint, forestry resources, and fishing ground” across 35 SSA countries using disaggregated data covering the period 2000 and 2021. This study employs the novel Method of the Moments Quantile Regression following the Stochastic Impacts by Regression on Population, Affluence and Technology model as the reference theoretical and analytical framework. The findings disclose heterogeneous effects of rural and urban energy poverty on ecological footprint items. When comparing the magnitudes, we found that rural energy poverty has a more detrimental impact on land‐use than urban energy poverty. Energy poverty is found to have no reliable power to explain the variation in carbon footprint and fishing ground. In the meantime, urban energy poverty exerts a positive effect on forestry resource sustainability. Surprisingly, population density is found to have a significant and desirable impact on land‐use. Based on the obtained results, numerous policy suggestions have been discussed along with some prospects for future research. [ABSTRACT FROM AUTHOR]

The growing discourse surrounding biomass energy's environmental ramifications has ignited debate among policymakers. While biomass remains a primary and readily accessible energy source, various studies have extensively examined its implications for health and the economy. However, there is a lack of evidence regarding its role in mitigating climate change. This study delves into the ecological footprint implications of biomass energy consumption in the Organisation for Economic Co-operation and Development (OECD) countries, spanning from 1990 to 2017. While the existing literature predominantly relies on parametric methodologies, offering estimates of biomass energy's average impact on ecological footprints, it fails to capture temporal variations in this relationship. Consequently, this study employs both parametric and nonparametric time-varying techniques to elucidate the evolving impact of biomass energy utilization on ecological footprints across the studied nations. Findings from both analytical approaches converge to suggest that biomass energy usage amplifies the ecological footprint of OECD nations. Notably, the nonparametric analysis underscores the dynamic nature of this relationship over time. Based on these insights, policy recommendations are given to mitigate the adverse environmental consequences of biomass energy usage while exploring cleaner alternative energy sources. [ABSTRACT FROM AUTHOR]

Background: Various factors have been found responsible for the increment in ecological footprint resulting difficulties in maintaining environmental sustainability. This has been noticed through a modeling perspective. Identifying the factors affecting Ecological Footprint helps policymakers to formulate policies regarding sustainability. However, studies conducted based upon systematic reviews on Ecological Footprint through modeling are still limited. Objective: This study intends to identify influential factors associated with ecological footprint through a systematic review. Methods: ProQuest, Science Direct, Scopus, and Web of Science databases were used to search literature systematically. Particular keywords and Boolean operators were applied to dig out relevant studies for the review. Peer-reviewed research articles published in the English language till September 13, 2023, were incorporated for the analysis. Following the guidelines of Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA), 1011 articles were identified from four different databases and only 37 research papers were eligible for this study. These articles were assessed and relevant information was extracted and then amalgamated into the systematic review. Results: Gross domestic product, urbanization, energy consumption, renewable energy, non-renewable energy, natural resources, bio-capacity, human capital, foreign direct investment, trade openness, and financial development were observed as key factors of the ecological footprint. Conclusion: Factors known to influence ecological footprint need to be addressed properly for environmental sustainability including widespread use of renewable energy. [ABSTRACT FROM AUTHOR]

Globalization is a phenomenon that connects countries in terms of trade flows, opening of capital markets, technological innovations, cultural and political decisions. The negative impact of globalization on biodiversity for rapid economic growth and development can easily be ignored. In this regard, it can be said that globalization has a direct impact on economic growth and an indirect impact on the environment. The study aimed to examine the real gross domestic product (GDP) per capita for Turkey between 1980-2019 and the impact of economic, political and social globalization on the ecological footprint obtained from the globalization Swiss Institute of Economic Research (KOF) database. Distributed lag autoregressive bound test (ARDL) suggested by Pesaran et al. (2001) was used as the econometric method. According to ARDL short-term and longterm findings, while real GDP per capita and social globalization increase the ecological footprint, no effect of economic and political globalization was found. [ABSTRACT FROM AUTHOR]

[Display omitted] • Green technologies, renewable energy, and human capital protect the environment. • Economic complexity significantly diminishes environmental quality. • Interaction between renewable energy and green technology boosts ecological quality. • BRICS nations should adopt and implement renewable and green energy technologies. Green technological developments and investments are often observed as effective tools for the sustainability of carbon counteraction since they progress energy efficiency and unsoiled productivity. To do this, the main objective of this study is to inspect the effect of green technologies, economic complexity, renewable energy consumption, and human capital on the ecological footprint in the case of Brazil, Russia, India, China, and South Africa (BRICS) countries over the span of 1990–2020. Accordingly, this study applied novel and unconventional panel methods that provide reliable and robust estimated findings under slope heterogeneity and cross-dependency issues. The estimated results from cross-sectional autoregressive distributive lag (CS-ARDL) presents that the influence of green technologies, human capital, and renewable energy significantly protects the environment. On the other hand, economic complexity damages the environment in the long run. Furthermore, the evidence confirms that the interactive role of renewable energy consumption is also beneficial to protect the environment. Besides, the interactive role of green technologies and renewable energy consumption significantly protect the environment in the BRICS region. From a policy perspective, this study advocates that it is crucial to accelerate green technological innovations in BRICS economies, including the regulatory policies encouraging an incessant upsurge in the share of green technologies, renewable energy consumption, and human capital into environmental technological progress. [ABSTRACT FROM AUTHOR]