Does regional energy consumption disparities assist to control environmental degradation in OBOR: an entropy approach

China launched the One Belt & One Road (OBOR) initiative to minimize the energy resource shortage. The China's nearby countries are rich in energy resources especially Middle East and North Africa (MENA) and Asian countries which make them ideal locations to cooperate with China in terms of energy resources, as 42.8% of world energy consumption belongs to OBOR countries. The present study elaborates the spatial distribution pattern of energy consumption disparities and its impact on environment. To do this, an entropy approach is utilized to compute the energy consumption inequalities in OBOR and its regions. The spatial and Pareto analysis show that MENA, East, and Southeast Asian economies have the highest degree of energy consumption inequalities, while European and Central Asian economies show the lowest energy consumption inequalities in OBOR region. The long-run estimates indicate that energy consumption inequalities enhance the CO₂ emission in OBOR and its region except South and Southeast Asia. Financial development also has a significantly positive impact on CO₂ emission in all models for OBOR and its regions except East Asia. Based on findings, the spatial distribution analysis is applicable to maintain balance in regional energy consumption inequality within OBOR and its regions.

Economics of energy and environmental efficiency: evidence from OECD countries

The purpose of this research is to determine the efficiency of energy usage and its role in carbon dioxide emissions (CI) and economic-environmental efficiency (EEE) for some countries Organization for Economic Co-operation and Development (OECD) economies. For environment quality assessment, data envelopment analysis (DEA) is used to assess the data cover the period from 2013 to 2017. In this study, primary energy consumption (PEC) and population are two basic inputs along with gross domestic product (GDP) and carbon dioxide emissions that are desirable and undesirable  outputs, respectively. The practical outcomes illustrate that Brunei, Australia, Singapore, and Hong Kong are the most effective and efficient states for the 5 years periods (2013-2017) in terms of energy efficiency and to reduce emission of carbon dioxide. In addition, other states in the OECD region shows greater economic proficiency than environmental proficiency. Furthermore, the results shows that energy efficiency has strong bonding with carbon emissions; however there is a weaker association between economic-environmental efficiency. Thus, the attainment of optimal level of energy efficiency could be more pivotal than economic efficiency to improve environmental efficiency in countries from the OECD region.

Heavy Metal Pollution in the Ganga River Enhances Carbon Storage Relative to Flux

This study evaluated the relationships between metal pollution and carbon production at six sites along a 285 km length of the Ganga River. Metal contaminated sites did show a significant reduction in microbial biomass, substrate induced respiration, fluorescein diacetate hydrolytic assay (FDAase) and β-D-glucosidase. Concordantly, despite a high concentration of total organic carbon at these sites, CO₂ emission at the land-water interface remained low. We found a strong positive correlation between CO₂ emission and TOC (r = 0.92; p < 0.001). However, this relationship weakens when the sum of total heavy metal (∑THM) exceed 400 µg g^-1. Also, CO₂ emission did show a positive correlation (r = 0.85; p < 0.001) with FDAase. The study shows that metal accumulation in riverbed sediment could potentially lead to better carbon sequestration on account of reduced microbial/enzyme activities. This carries significance for riverine carbon budget and modeling.

Examining the asymmetric effects of stock markets on Malaysia's air pollution: a nonlinear ARDL approach

The objective of this research is to examine the effects of stock market on air pollution in Malaysia during the period 1980-2017. To realize this aim, a nonlinear autoregressive distributed lag (ARDL) model is constructed. The short results in general revealed that the increase in stock markets will increase CO₂ emissions and its significance increases in the long run. Moreover, the decline in stock market will reduce Malaysia's CO₂ emissions but only in the long run. From the outcomes obtained, a number of policy recommendations were provided for the investigated country.

Effect of trade on ecological quality: a case of D-8 countries

Sustainable development inculcates the process of preserving the environment for future generations while maintaining existing human needs. This study attempts to empirically investigate the relationship between CO2 emissions, GDP, energy consumption, and imports and exports using yearly data between 1980 and 2014 for the panel of eight developing countries (i.e., Bangladesh, Egypt, Iran, Indonesia, Malaysia, Nigeria, Pakistan, and Turkey). All the tests for cointegration establish the long-run association among the variables and confirm the environmental Kuznets curve (EKC) hypothesis for the panel of eight countries. GDP and energy consumption remained significant factors for emission intensity both in the long and short run. However, exports found to be positive factor for emissions in the long run only and imports spur emissions in the short run. The country-specific results validate EKC hypothesis for Bangladesh, Iran, Nigeria, Pakistan, and Turkey. The findings are policy oriented and suggest that the countries' economic growth along with energy consumption and exports are highly emission intensive which require necessary adjustments at sustainable development policy front.

The role of eco-innovation on CO2 emission reduction in an extended version of the environmental Kuznets curve: evidence from the top 20 refined oil exporting countries

This study empirically investigates the role of eco-innovation on the reduction of carbon dioxide emissions (CO₂) in an extended version of the environmental Kuznets curve (EKC). Under dynamic framework, second-generation panel econometric techniques such as the CADF and the CIPS unit root tests, DSUR cointegrating test, and DH panel causality test are employed over the period 2007-2016 for the case of top 20 refined oil exporting countries. Results reveal that eco-innovation (i.e. research and development) exerts a negative and significant long-term effect on carbon emissions (CO₂). This result indicates that the extended version of EKC and the Porter hypotheses are validated for the selected countries. The findings, which show heterogeneity and cross-sectionally dependence in the panel time-series framework, suggest that rising levels of carbon emissions and real income may encourage more research and development (i.e. eco innovation) and lower energy consumption.

Evaluating nighttime lights and population distribution as proxies for mappinganthropogenic CO2 emission in Vietnam, Cambodia and Laos

Tracking spatiotemporal changes in GHG emissions is key to successful implementation of the United Nations Framework Convention on Climate Change (UNFCCC). And while emission inventories often provide a robust tool to track emission trends at the country level, subnational emission estimates are often not reported or reports vary in robustness as the estimates are often dependent on the spatial modeling approach and ancillary data used to disaggregate the emission inventories. Assessing the errors and uncertainties of the subnational emission estimates is fundamentally challenging due to the lack of physical measurements at the subnational level. To begin addressing the current performance of modeled gridded CO2 emissions, this study compares two common proxies used to disaggregate CO2 emission estimates. We use a known gridded CO2 model based on satellite-observed nighttime light (NTL) data (Open Source Data Inventory for Anthropogenic CO2, ODIAC) and a gridded population dataset driven by a set of ancillary geospatial data. We examine the association at multiple spatial scales of these two datasets for three countries in Southeast Asia: Vietnam, Cambodia and Laos and characterize the spatiotemporal similarities and differences for 2000, 2005, and 2010. We specifically highlight areas of potential uncertainty in the ODIAC model, which relies on the single use of NTL data for disaggregation of the non-point emissions estimates. Results show, over time, how a NTL-based emissions disaggregation tends to concentrate CO2 estimates in different ways than population-based estimates at the subnational level. We discuss important considerations in the disconnect between the two modeled datasets and argue that the spatial differences between data products can be useful to identify areas affected by the errors and uncertainties associated with the NTL-based downscaling in a region with uneven urbanization rates.

Role of financial development, economic growth & foreign direct investment in driving climate change: A case of emerging ASEAN

In the context of remarkable economic growth and financial development in the emerging economies of East Asia, this paper attempts to shed light on the ecological consequences (CO2 emission) of economic growth, foreign direct investment and financial development in the selected ASEAN-5 economies. Drawing on the data from 1982 to 2014, we employed a set of quantitative techniques for panel data analysis which entailed Dynamic Ordinary Least Squares (DOLS) and Fully Modified OLS (FMOLS) approaches. Our findings indicate that financial and economic development, as well as FDI, have a statistically significant long-run co-integrating relationship with environmental degradation (CO² emissions) in the under analysis economies. It showed that in ASEAN-5 countries, economic growth, financial development and FDI leads to an increase in environmental degradation. The quadratic term for economic growth showed a negative impact on environmental degradation i.e. Environmental Kuznets Curve (EKC). Our key findings manifest and emphasise the importance of appropriate policies for more inclusive economic and financial development and sustainable foreign direct investment which does not impede on the environment.

Modeling Impacts of Highway Circular Curve Elements on Heavy-Duty Diesel Trucks' CO2 Emissions

Heavy-duty trucks contribute a significant component of all transportation in cargo terminals, such as Shaanxi Province, China. The emissions from these vehicles are the primary source of carbon emissions during highway operations. While several studies have attempted to address emission issues by improving traffic operations, a few focused on the relationship between emissions and highway geometric design, especially for heavy-duty trucks. The primary goal of this research was to understand the impact of circular curve on carbon dioxide (CO₂) emissions produced by heavy-duty diesel trucks. Firstly, appropriate parameters were specified in MOVES (motor vehicle emission simulator) model according to the geometrical characteristics. Fuel consumption, speed and location data were collected by hiring five skilled drivers on the automotive proving ground located at Chang’an University, Shaanxi Province. The associated carbon emission data were derived from fuel consumption data by applying the IPCC (Intergovernmental Panel on Climate Change) method. After this, the applicability of MOVES model was verified by the field experiment. Moreover, a multiple regression model for CO₂ emissions incorporated with roadway segment radius, circular curve length, and initial vehicle speed was established with data generated by the MOVES model. The proposed CO₂ emission model was also verified by field experiment with relative error of 6.17%. It was found that CO₂ emission had monotone decreasing property with radius increasing, and the minimum radius that influenced diesel CO₂ emission was 550 m. The proposed quantitative CO₂ emission model can provide a reference for low-carbon highway design, leading to environment-friendly transportation construction.

Financial development and its moderating role in environmental Kuznets curve: evidence from Pakistan

The nexus among real income, energy consumption, financial development, and carbon emission has broadly conferred area in energy and environmental literature. However, there is no study in the literature which investigates the moderating role of financial development between real income, energy consumption, and CO₂ emission in Pakistan. This study reveals the role of financial development as a moderator in the conventional environmental Kuznets curve (EKC). To achieve the objectives of this study, two approaches are employed, (i) with main effects and (ii) with interaction variables, using autoregressive distributed lag (ARDL) bounds testing approach in the case of Pakistan covering the period 1970 to 2016. Findings of the empirical analysis confirm the EKC hypothesis in the first case (without interaction effect) and our second estimations (with interaction effect) show that financial development significantly moderates the association of real output with CO₂ emission (both for the long run and short run). The negative effect of financial development on carbon emission reveals to efficacious energy management with effective environmental performance. More precisely, the results of second estimations reveal that all three interaction variables are statistically significant but the EKC curve is no more. Thus, the current study proposes that the moderating effect of the financial sectors may be the possible reason which has been ignored by prior researchers and they found mix results regarding the existence of EKC in Pakistan. In addition, the Granger causality test confirms the feedback effect between real income and carbon emission and one-way causality from all the three interaction variables and financial development to CO₂ emission. Lastly, this study posits some important policy inferences in the perspective of new economic policy formation in Pakistan.

Identification and analysis of driving factors of CO2 emissions from economic growth in Pakistan

This study applied the logarithmic mean Divisia index (LMDI) model to identify and discuss the main drivers of Pakistan's CO₂ emissions over the period 1990-2016. The study examined the effects of five factors based on Pakistan's three main economic sectors while considering the 11 types of fuels consumed in that country. The results showed that the energy structure effect is the greatest driving force of CO₂ emissions in this country, followed by scale effect and economic structure effect. Energy intensity is the main contributor to reducing Pakistan's carbon emissions throughout the study period. A comparative review at the sectoral level shows that the industrial sector for which coal is the main source of energy supply is the one that contributes the most to CO₂ emissions in Pakistan. Alongside this sector is the tertiary sector, where the transport sub-sector imposes rules of conduct based on a growing Pakistani population. Meanwhile, deforestation would be the main cause of CO₂ emissions from the agricultural sector in Pakistan, as energy consumption in this sector remains very low. Improving energy efficiency through the intensification of clean energy is urgently needed if Pakistan's environmental goals are to be achieved.

Decomposition of Cameroon's CO2 emissions from 2007 to 2014: an extended Kaya identity

To effectively combat global warming, an enormous reduction in CO₂ emissions is required. Cameroon, which is currently the largest emitter of CO₂ in the CEMAC subregion, has committed to reducing its greenhouse gas emissions by 32% by 2035. However, previous studies in Cameroon have only addressed the relationship between economic growth, energy consumption, and CO₂ emissions without estimating all causal relationships at the same time. Moreover, no study has yet decomposed this country's CO₂ emissions to date. To fill these research gaps and further assess the determinants of these CO₂ emissions, an extended Kaya identity and the Logarithm Mean Divisia Index (LMDI I) have been applied in this paper to identify, quantify, and explain the main drivers of Cameroon's CO₂ emissions from 2007 to 2014. Seven effects were measured and the main findings show that carbon intensity and the emission factor increased by 0.57% and 107.50% respectively. Regarding contributions to the increase of CO₂ emissions, the population effect was the most positive followed by the activity effect, whereas the energy intensity, the substitution of fossil fuels and the penetration of renewable energies have contributed to reduce the CO₂ emission. To enable Cameroon to not only achieve the goals of its vision but also develop a low-carbon economy, this paper provides some proposed avenues that should be considered by policymakers.

Effect of Warming and Elevated O3 Concentration on CO2 Emissions in a Wheat-Soybean Rotation Cropland

A deeper understanding of the effects of experimental warming and elevated ozone (O3) concentration on carbon dioxide (CO2) fluxes is imperative for reducing potential CO2 emissions in agroecosystems, but are less understood particularly in rotational wheat (Triticum aestivum)-soybean (Glycine max) croplands. In order to understand such effects on CO2 fluxes from winter wheat-soybean rotation, a field experiment was conducted by using the open-top chamber (OTCs) during the growing seasons of 2012 and 2013 at an agro-ecological station in southeast China. The experimental treatments included the control (CK), experimental warming (T, crop canopy temperature increased by ~2 °C), elevated O3 concentration (O, O3 concentration about 100 ppb) along with temperature enhancement (OT, elevated ~2 °C temperature plus 100 ppb O3). The results showed that warming significantly increased the mean CO2 fluxes (MCF) and the cumulative amount of CO2 (CAC) from soil and soil-crop systems, while elevated O3 and warming enhancement (OT) significantly reduced MCF and CAC. Besides, warming significantly reduced the biomass of winter-wheat, but it insignificantly decreased the biomass of soybean in the harvest period. The O and OT treatments significantly reduced the biomass of winter-wheat and soybean cropping systems in the harvest time. Both warming and elevated O3 concentration decreased the temperature sensitivity coefficients (Q10) in soil respiration during the experimental period. Overall, our results indicate that elevated O3 concentration compensates the effect of warming on CO2 emission to some extents, which has a positive feedback impact on the climate system.

Emergy-based environmental accounting of one mining system

Metal production from mineral resources is crucial for economic development. However, most mining activities usually target short-term financial benefits, rather than long-term consideration on ecological sustainability. To better understand the impact of metal production, systematic evaluation methods should be applied to complement current economic accounting tools. Under such a circumstance, this study proposes an emergy-based metal production evaluation framework, taking a life cycle perspective from the formation of mineral deposit to the final production of metal. Ecosystem service loss, CO₂ emissions, and emissions' impact are quantified, evaluating the comprehensive performance of a lead and zinc production system in Yunnan Province of China. The results show that minerals contribute significantly to the formation of lead and zinc production; however, emergy received in terms of money substantially undervalues environmental work associated with production. Such a metal production system relies heavily on nonrenewable resources and put enormous pressures on local ecosystems. The beneficiation subsystem generates the highest negative impact per emergy output, followed by the smelting and refining subsystem and the underground mining subsystem. From climate change point of view, producing 1 ton of lead bullion leads to 1.79E+03 kg CO₂eq. Electricity use contributes a dominated share to the total CO₂ emission of all subsystems. In addition, lead recycling can greatly reduce the overall CO₂ emission, indicating that it is necessary to build up a regional lead collection and recycling system. Finally, several policy suggestions are raised by considering the local realities, aiming to promote sustainable development of this industry.

Agricultural practices and quality of environment: evidence for global perspective

The study emphasizes to examine the causal relationship among CO₂ emission, agricultural value added, industrial production, urbanization, nuclear energy consumption, and economic growth across the panel of 59 countries. The data is collected from World Bank database over the period of 1982-2015. For econometric estimations, we have divided the sample into different income groups: low income, lower middle income, upper middle income, and higher income. In case of higher income countries, empirical results have reported the unidirectional causality from agricultural value added to CO₂ emission, whereas, bidirectional causality between nuclear energy consumption and CO₂ emission. Upper-middle-income countries have confirmed the bidirectional causality between CO₂ emissions and agricultural added; however, unidirectional causality runs from nuclear consumption to CO₂ emission. According to Granger causality estimations, agricultural value added and nuclear energy consumption do not cause the CO₂ emission in low income and lower-middle-income countries. Long-run estimations have mentioned that higher agricultural value added leads to increase the CO2 emission, in upper middle income and higher income countries. On contrary, in case of low-income and lower-middle-income countries, agricultural value added has inverse relationship with CO₂ emission. Higher nuclear energy consumption tends to reduce the CO₂ emission, except the upper-middle-income countries.

Role of biochar and plant growth promoting rhizobacteria to enhance soil carbon sequestration-a review

Global climate is undergoing significant changes due to extensive release of greenhouse gases (GHGs) such as CO₂ and methane in the atmosphere. These gases are produced and released as a result of anthropogenic activities and fossil fuel burnings which also result in depletion of soil carbon resources. Biochar has various distinctive properties, which contribute to make it an effective, economical, and eco-friendly approach for soil carbon sequestration. The versatility in physicochemical properties of biochar provides an opportunity to optimize its efficacy to obtain desired benefits. A critical review of the literature indicates that biochar and plant growth-promoting microbes have the potential to improve soil organic carbon (SOC). Recent studies have depicted a significant role of the combined application of plant growth-promoting microbes and biochar on SOC dynamics. In future, these areas need to be explored as these have the potential to improve SOC dynamics and it could be a better strategy to sustain natural resources and ultimately mitigation of the climate change.

China's cement demand and CO2 emissions toward 2030: from the perspective of socioeconomic, technology and population

China is the largest cement producer and carbon dioxide (CO₂) emitter in the world. The country has attracted too much attention in calculating and comparing its CO₂ emissions. However, as the second largest CO₂ emitter after the fire power industry, China's long-term cement demand and cement-related CO₂ emission projections were not fully studied. The Chinese government, however, committed that by 2020 and 2030, China's per capita GDP of CO₂ emissions would be lower than that in 2005 by 40-45% and 60-65%, respectively. In this paper, China's cement demand in 2030 was projected based on the population size, urbanization rate, fixed assets investment, and per capita GDP. Furthermore, decoupling study in China's cement industry was also involved based on the GDP and CO₂ emissions during 2001-2015. We also used the diffusion rate of 12 types of CO₂ reduction measures and two changed scenarios of clinker-to-cement ratio, to project the cement CO₂ emission factors toward 2030 after determining the accounting scope. Meanwhile, the CO₂ emissions of China's cement industry through 2030 were projected naturally. The results showed that China's cement output in 2030 will be approximately 2000, 1650, and 937 Mt. based on the fixed assets investment, urbanization rate, and per capita GDP respectively. The projected two scenarios cement CO₂ emission factors were resp. 407.83 and 390.02 kg CO₂/t of cement which were 42.6 and 45.1% lower than that in 2005. The cement CO₂ emissions were projected to be in the range of 366 to 818 Mt. in 2030. Additionally, China's total cement output value has been decoupling from cement CO₂ emissions from 2012, which is mainly attributed to eliminating backward capacity, reducing excess capacity or the declining cement output. And decoupling economic from China's cement CO₂ emissions may change to be strong or weak decoupling in the near future. As cement production is one of the factors effecting cement CO₂ emissions, the most important measure for controlling cement CO₂ emissions is a reasonable capacity utilization rate. It is therefore important to control the growth of cement CO₂ emissions by regulating the capacity utilization rate within a reasonable range. Eliminating backward capacity, removing excess capacity, controlling new capacity, staggered production, and the "going global" of cement equipment can have great impacts in controlling the total amount of cement output and CO₂ emissions.

Carbon mineralization in soil as influenced by crop residue type and placement in an Alfisols of Northwest India

Carbon (C) mineralization of crop residues is an important process occurring in soil which is helpful in predicting CO₂ emission to the atmosphere and nutrient availability to plants. A laboratory experiment was conducted in which C mineralization of residues of rice (Oryza sativa), wheat (Triticum aestivum), maize (Zea mays), mungbean (Vigna radiata) and their mixtures was applied to the soil surface or incorporated into an Alfisols from Northwest India. C mineralization was significantly affected by residue placement and type and their interactions. Rice residue had a higher decomposition rate (k = 0.121 and 0.076 day^-1) than wheat (0.073 and 0.042 day^-1) and maize residues (0.041 day^-1) irrespective of placements. Higher decomposition rates of rice and wheat were observed when placed on soil surface than incorporated in the soils. Additive effects of the contribution of each residue type to C mineralization of the residue mixture were observed. When mungbean residue was added to the rice/wheat or maize/wheat mixture, decomposition of the residue mixture was enhanced. Crop residues with low N and high C/N ratio such as maize, wheat, rice and their mixtures can be applied on the soil surface for faster C and N mineralization, thereby helping to manage high volumes of residues under conservation agriculture-based practices in northwest India.

The trade-environment nexus in light of governance: a global potential

The theme of paper is to explore the trade-environment relationship and the role of institutions for 117 countries from global standpoint and five regions: Sub Saharan, European, Middle East and North Africa, Asia and Pacific, and Latin America and Caribbean, using the panel data span 2002-2014. By considering the endogeneity problem, to validate the nature of trade-environment nexuses, we applied the GMM first difference model in two steps. Likewise, Dumitrescu-Hurlin panel causality analysis is employed to affirm the causal relationship among the concern variables. The empirical findings of this study validate that the overall trade is significantly good to environment for sample countries (117) of the entire World, Europe, Asia, and Pacific regions. In further assessment, we incorporate interactive terms of institutions with trade, scale effect, and scale-technique effect. The estimated results confirm that institution is the persistent instrument for resolving the environmental problems. Furthermore, we find the evidence of inverted u shape EKC in overall selected sample of the World, Sub-Saharan, Europe, Asia, and Pacific regions. In contrast, there is no confirmation of inverted u shape EKC hypothesis in Middle East and North Africa regions. Similarly, no strong evidence of inverted u-shaped EKC hypothesis is observed in Latin-America and Caribbean region.

Decomposing the decoupling of CO2 emissions from economic growth in Cameroon

This paper applied the Tapio and LMDI methods based on an extended Kaya identity, to evaluate the decoupling and factors that influenced the relationship between economic growth and CO₂ emissions in Cameroon from 1990 to 2015. The analysis covered the two main sectors of Cameroon's economic activity, and the decoupling indicators were broken down into five factors. The results showed that Cameroon performed weak decoupling throughout this study period. A weak negative decoupling and a strong negative decoupling appeared during the periods 1990-1992 and 1993-1994, whereas a strong decoupling occurred only from 1994 to 1995 and between 2004 and 2006. From a general point of view, we found that demographic change, followed by energy intensity and economic activity, played a negative role in decoupling, while economic structure and emission factors had promoted the development of decoupling. A comparative analysis of the industrial and tertiary sectors revealed that industrial growth determined the degree of decoupling of CO₂ emissions from Cameroon's economic growth. The policy will need to optimize and significantly adjust the energy and industrial structures if Cameroon's 2035 emission reduction targets are to be reached. This requires a change in Cameroon's energy consumption and economic development pathways for optimal outcomes.

[Daily Variation of CO2 Flux at Water-Air Interface and Analysis of Its Affecting Factors in a Typical River of the Three Gorges Reservoir]

Diurnal and seasonal characterization of CO₂ partial pressure p(CO₂) and CO₂ areal flux F(CO₂) at the water-air interface in an anthropogenic river in the Three Gorges Reservoir area was studied. A tributary of the Jialing River in Chongqing Municipality was chosen, and daily and seasonal samples were taken in summer and autumn, focusing on riverine p(CO₂), F(CO₂), and their associated controls. Henry's law combined with the thin boundary layer model was adopted to estimate the CO₂ flux via the water-air interface. The results indicated that F(CO₂) was not high on average, namely (87.8±27.5) mmol·(m²·d)^-1 and (139.2±34.0) mmol·(m²·d)^-1 in summer and autumn, respectively. The water-air interface F(CO₂) showed significant hourly, daily, and seasonal variations. CO₂ release peaked around 09:00 and then slightly decreased. We also found that pH, alkalinity, water, and temperature were significantly related to p(CO₂) and F(CO₂), whereas pH and alkalinity were the best predictors of F(CO₂). This study aids understanding of the impacts of urbanization on CO₂ emissions in the rivers and helps to re-evaluate local riverine CO₂ budgets.

Financial development, globalization, and CO2 emission in the presence of EKC: evidence from BRICS countries

This study examines the impact of energy consumption, financial development, globalization, economic growth, and urbanization on carbon dioxide emissions in the presence of Environmental Kuznets Curve (EKC) model for BRICS economies, by using a family of econometric techniques robust to heterogeneity and cross-sectional dependence. Results from LM test, CIPS and CADF unit root test, Westerlund Cointegration test, the Dynamic seemingly unrelated regression (DSUR), and Dumitrescu-Hurlin Granger causality test show that (i) the data is cross sectionally dependent and heterogeneous; (ii) carbon dioxide emissions, energy consumption, financial development, globalization, economic growth, square of GDP and urbanization have integration of order one; (iii) the examined variables are co-integrated; (iv) energy consumption and financial development contribute to the carbon dioxide emissions whereas globalization and urbanization have negative but insignificant relationship with carbon dioxide emissions; (v) supports the EKC hypothesis in BRICS economies; (vi) bidirectional causality exists among energy consumption, financial development, economic growth and square of GDP with carbon dioxide emissions whereas globalization and urbanization have unidirectional relationship with carbon dioxide emissions. Since these panel techniques account for heterogeneity and cross-sectional dependence in their estimation procedure, the empirical results are robust and reliable for policy recommendations. Furthermore, this study also uses time series tests (ADF, P-P, and FMOLS) to find the empirical results for each of the country and finds mixed results. Empirical findings directed towards some important policy implications.

Biodegradation of Some Organic Materials in Soils and Soil Constructions: Experiments, Modeling and Prevention

The decomposition of natural and synthetic polymeric materials (peat, humates, biochar, strongly swelling hydrogels and other soil conditioners) in a biologically and chemically active soil environment inevitably leads to a reduced ability to improve the structure, water-retention, absorptive capacity and fertility of artificial soil constructions in urbanized ecosystems and agro landscapes (constructozems). Quantitative assessment of the biodegradation process using field and laboratory incubation experiments, as well as mathematical modeling, showed the possibility of significant (up to 30⁻50% per year) losses of organic matter of constructozems and a corresponding deterioration of soil quality. Incubation experiments that track the carbon dioxide emission rates of polymeric materials under given thermodynamic conditions allow for the estimation of decomposition rates in addition to an exploration on the dependence of such rates on additions of microbial inhibitors. The use of nomographs provide an opportunity to optimize long-term amendment performance in soil constructions by identifying the most favorable depths to apply amendments to ensure stable functioning during desired in-service timelines in the built environment. The results of the study are useful for geo-engineers and landscaping practitioners.

The effect of ICT, financial development, growth, and trade openness on CO2 emissions: an empirical analysis

This study investigates the impact of Internet use, financial development, economic growth, and trade openness on carbon dioxide (CO₂) emissions in selected European Union (EU) countries. To this end, pooled mean group (PMG) estimator is utilized for panel data from 2001 to 2014. Empirical findings suggest that Internet use has long-run relationship with CO₂ emissions and lowering the environmental quality in EU countries. Also, the electricity consumption has a positive and significant effect on CO₂ emissions. Moreover, interestingly, economic growth and financial development have a diminishing negative impact on CO₂ emission. Heterogeneous panel Granger causality results suggest unidirectional causality running from Internet use to CO₂ emissions. The finding implies that the European Union countries did not achieve the level of green information and telecommunication (ICTs) consumption. Overall, the innovative findings indicate that Internet use is raising the threat to the sustainable development. Thus, to curb and mitigate CO₂ emissions from Internet use and electricity consumption is the need of time to maintain the sustainable development in EU countries.

Influence of foreign direct investment on indicators of environmental degradation

This study aims to contribute to the existing literature by looking at the influence of foreign direct investment on carbon dioxide emissions, carbon footprint, and ecological footprint. In order to realize the aim of this study, we have utilized the augmented mean group estimator, which is supported by common correlated effect mean group estimator in the analysis for 20 countries. The panel results reveal that foreign direct investment has no effect on environmental degradation indicators. The panel results further reveal that gross domestic product, energy consumption, and urbanization are the main contributors to environmental degradation. The results at country level show that foreign direct investment and urbanization increase pollution in the developing countries while they mitigate pollution in the developed countries. Moreover, gross domestic product and energy consumption increase pollution for both developed and developing countries, which includes China and the USA. The negative impact of foreign direct investment on environmental degradation in the developed countries can be explained on the basis that these countries have strong environmental regulations, which makes it almost impossible for dirty foreign industries to invest therein. From the output of this research, several policy recommendations are enumerated for the investigated countries.