Modeling the impact of transport energy consumption on CO2 emission in Pakistan: Evidence from ARDL approach

Investigating business process management on environmental performance considering the mediating role of information technology

Businesses in the current world need to plan in light of rapidly evolving factors including technology, equipment, the competitive market, customers, etc. To address the ever-increasing environmental concerns, corporations have implemented new policies and procedures. In this research, we apply a technological intervention to analyze how the uncertain nature of business management affects environmental performance at Huangshi in Hubei. The study's focus, quantitative nature, and descriptive-analytical approach all make it a subset of applied research. The library study approach is used to gather data for the purpose of compiling theoretical underpinnings and research material. Statistical packages like SPSS and PLS are used to do both descriptive and inferential analyses on the data. The hypothesis was analyzed using structural equation modeling. The study's findings revealed that BPM has a direct, beneficial, and statistically significant impact on corporate operations in terms of their impact on the environment ( β =  0.359, P < 0.05). A good and noticeable impact on environmental performance is also produced by the indirect management of business processes through the mediation of information technology. The path coefficient and t-statistic findings indicated a positive and substantial influence of business process management on information technology. There is a clear and substantial correlation between information technology and environmental performance ( β =  0.381, P < 0.05). Policy implications suggest that integrating BPM with IT solutions can significantly enhance environmental performance.

Is the environmental Kuznets curve valid for transport sector in Pakistan? New evidence for non-renewable energy and urbanization using the QARDL approach

The transportation industry is a significant contributor to greenhouse gas emissions, particularly carbon dioxide. This study broadens the literature on environmental Kuznets curve (EKC) by assessing Pakistan's carbon dioxide emissions in the transport sector taking into account the impact of non-renewable energy, urbanization, and economic growth for the period of 1995-2018 using the novel QARDL model. Moreover, the outcomes of the study make a momentous benefaction to the literature by focusing a sector that contributes substantially to pollution in Pakistan. Specifically, the study finds that the EKC curve is confirmed for Pakistan's transportation sector in moderate to higher quantiles. Urbanization and non-renewable energy are also two other vital ingredients that dramatically aggravate the destruction of the environment. Except for the lowest (0.05th-10th) and highest (90th-95th) quantiles, urbanization affects transport-based carbon pollution positively. The study concludes by proposing some policy interventions for Pakistan.

Urbanization and renewable energy consumption in the emerging ASEAN markets: A comparison between short and long-run effects

The emerging markets in the ASEAN region, such as Indonesia, Malaysia, the Philippines, Thailand and Vietnam, have put great effort into achieving dual objectives: (i) supporting economic growth and (ii) combating environmental degradation simultaneously. These objectively depend on the fast urbanization taking place in these countries. While increased energy consumption from urbanization supports economic growth, urbanization is a key driver of environmental degradation. This paper examines a potential link between urbanization and renewable energy consumption, primarily ignored in current literature, particularly in the ASEAN-5 countries. Findings from this paper indicate that, despite the adverse effect of urbanization on renewable energy consumption in the short run, a positive effect is found in the long run for these emerging ASEAN markets, except Malaysia. The Philippines appears to balance well between urbanization and renewable energy consumption in the short and long run. Policy implications have emerged based on the findings of this paper.

Testing the environmental Kuznets curve hypothesis in the transport sector for OECD countries: a dynamic panel threshold approach

This study tests the environmental Kuznets curve (EKC) hypothesis in the transport sector for 28 OECD countries from 1990 to 2019. As a novelty, the relationship between gross domestic product (GDP) and carbon dioxide (CO2) emissions from the transport sector is investigated with the estimation of the dynamic panel threshold regression based on the generalized method of moments (GMM) estimator by Seo and Shin (Seo and Shin, J Econom 2:169-186, 2016). This approach enables us to test EKC and capture possible nonlinearities between variables. Along with the analysis of the EKC hypothesis, our study also investigates the effects of road petroleum products consumption, renewable energy consumption, and trade openness on transport CO2 emissions. The threshold regression results, where GDP per capita is employed as the transition variable, support the nonlinear relationship between CO2 emissions from the transportation sector and GDP by rejecting the null hypothesis of no threshold effect. This finding indicates the existence of two different regimes, i.e., the lower and upper regimes, based on the optimum value of the GDP per capita. Economic growth damages the environment in the lower regime, whereas it improves environmental quality in the upper regime. Therefore, the results indicate the presence of an inverted U-shaped relationship and support the EKC hypothesis in the OECD transportation sector. As a result, it is concluded that achieving sustainable economic growth is critical for investing in environmentally friendly technologies required to achieve the goal of reducing transportation-related CO2.

The impact of natural resource consumption on carbon emissions: evidence of a symmetric and asymmetric effect from Sub-Saharan Africa

Sub-Saharan African countries are among mineral-rich developing countries strategically competing to guarantee sustainable economic development through resource exploration. The possibility of increasing the level of carbon emission due to using low-cost fuels and high pollutants during mineral resource extraction activities leading to environmental degradation continues to draw the attention of researchers and policy makers. This research aims to analyze the response of carbon emissions in the African continent to symmetric and asymmetric shocks on resource consumption, economic growth, urbanization, and energy consumption. Following the Shin et al. (2014a) linear and nonlinear autoregressive distributed lag (ARDL) methodology in panel form, we construct symmetric and asymmetric panel ARDL-PMG model to evaluate both short- and long-run impacts of resource consumption on carbon dioxide emissions for a panel of 44 African countries over the period 2000-2019. The symmetric results show that the effect is not statistically significant despite natural resource consumption positively impacting carbon emission in the long and short runs. Energy consumption was found to affect environmental quality in the long and short runs adversely. Interestingly, economic growth was found to improve environmental quality in the long run significantly, and no significant impact was reported in the case of urbanization. However, the asymmetric results prove that a positive and negative shock to natural resource consumption contributes significantly to carbon emission, contrary to the insignificant impact established in the linear framework. The gradual growth in the manufacturing sector and an expansion in the transportation sector in Africa led to high demand and consumption of fossil fuels. This possibly accounts for the adverse effect of energy consumption on carbon emissions. Most African countries depend mainly on exploring natural resource endowment and agricultural activities to drive the growth of their economies. Due to the weak environmental regulatory frameworks in most African countries and public corruption, multinational companies (MNCs) in the extractive sector do not adhere to environmentally friendly activities. The majority of African countries are also battling illegal mining activities and illicit felling of trees, which may account for the positive relationship between natural resource rents and environmental quality reported. In terms of policy implications of the study, governments in Africa must preserve natural resources, use environmentally friendly and technologically advanced resource extraction methods, opt for green energy, and strictly apply environmental laws to promote environmental quality on the continent.

The trilemma among CO2 emissions, energy use, and economic growth in Russia

This paper examines the relationship among CO₂ emissions, energy use, and GDP in Russia using annual data ranging from 1990 to 2020. We first conduct time-series analyses (stationarity, structural breaks, cointegration, and causality tests). Then, we performed some Machine Learning experiments as robustness checks. Both approaches underline a bidirectional causal flow between energy use and CO₂ emissions; a unidirectional link running from CO₂ emissions to real GDP; and the predominance of the "neutrality hypothesis" for energy use-GDP nexus. Therefore, energy conservation measures should not adversely affect the economic growth path of the country. In the current geopolitical scenario, relevant policy implications may be derived.

The asymmetric effect of ICT on CO2 emissions in the context of an EKC framework in GCC countries: the role of energy consumption, energy intensity, trade, and financial development

This study examines how "information and communication technology (ICT)" affects carbon dioxide (CO₂) emissions in Gulf Cooperation Council (GCC) nations asymmetrically, controlling energy consumption, its intensity, trade, and financial development following an environmental Kuznets curve (EKC) approach. It employs panel data covering 1995-2019, 2^nd generation unit root, Westerlund cointegration tests, nonlinear pooled mean group (PMG) estimate, and Dumitrescu-Hurlin causality check. The Westerlund test validates a long-run association among variables. The study confirms the EKC proposition for the GCC countries. It reveals that a decrease in CO₂ emissions is associated with both positive and negative parts of ICT and the expansion of financial development. While per capita GDP increases pollution, squared GDP per capita reduces it; energy consumption, intensity, and trade amplify carbon emissions. D-H causality check yields several bidirectional and one-way causalities and verifies the robustness of PMG outcomes. Our findings suggest that promoting ICT becomes one of the critical techniques to decrease CO₂ emissions in GCC nations due to its significant negative influence on CO₂ emissions.

The asymmetric relationship between public-private partnerships investment in energy and environmental degradation for sustainable development: new evidence from quantile-on-quantile regression approach

According to the United Nations Agenda, the 2023 sustainable environment is necessary to secure this planet's future; public-private partnerships investment in energy is crucial to sustainable development. The research examines the quantile association between public-private partnership ventures in energy and environmental degradation in ten developing nations, and data is used from January 1998-December 2016. The advanced econometrics quantile-on-quantile regression approach is used to control the issues of heterogeneity and asymmetric relationship. According to the quantile-on-quantile approach, there is a strong positive association between public-private partnerships in energy and environmental degradation in Argentina, Brazil, Bangladesh, and India. But the negative relationship is observed on different quantiles of China, Malaysia, Mexico, Peru, Thailand, and the Philippines. The findings suggest that the world needs to act as a single community and divert its resources toward renewable energy sources to control climate change; also, to accomplish the UN 15-year road map of Agenda 2023 with 17-SDGs; out of these 17 sustainable goals, SDG-7 is related to affordable and clean energy, SDG-11 is about sustainable cities and communities, and SDG-13 focuses on climate action for sustainable development.

Renewable energy for achieving environmental sustainability: institutional quality and information and communication technologies as moderating factors

The environmental challenges are currently placed at the forefront in order to achieve sustainable development. Although existing studies have largely examined the underlying factors of the environmental sustainability, the institutional quality and the role of information and communication technologies (ICTs) still insufficiently investigated. The aim of this paper is to clarify the role played by institutional quality and ICTs to mitigate environmental degradation at different scales of the ecological gap. Therefore, the purpose of the study is to examine whether the quality of institutions and ICTs consolidate the contribution of renewable energy to reduce the ecological gap and thereby, promote environmental sustainability. The results of panel quantile regression applied to fourteen selected Middle East (ME) and Commonwealth of Independent States (CIS) countries from 1984 to 2017 showed that the rule of law, control of corruption, Internet use, and mobile use exert no beneficial effects on environmental sustainability. The ICTs and the institutional development through the presence of an appropriate regulatory framework and the control of corruption have rather advantageous moderating effects on the environmental quality. Indeed, our findings revealed that the effects of renewable energy consumption on the environmental sustainability are positively moderated by the control of corruption, Internet use, and mobile use for countries with medium and high ecological gaps. The beneficial ecological effects of renewable energy are also moderated by the presence of a solid regulatory framework, but only for countries with high ecological gaps. In addition, our results showed that financial development promotes environmental sustainability in countries with low ecological gaps. Urbanization has perverse effects on the environment across all quantiles. The results found lead to important practical implications for preserving the environment as it suggests designing ICTs and improving the quality of institutions oriented to renewable energy sector in order to reduce the ecological gap. In addition, the findings from this paper can serve decision-makers in terms of environmental sustainability given the globalizing and conditional approach followed.

Sustainable development goals perspective: nexus between Christians' religious tourism, geopolitical risk, and CO2 pollution in Italy

Travel and tourism support a country's economy and improve its social outlook. The religious inclination is an important factor influencing tourism and constitutes a significant part of general tourism. Thus, assessing and evaluating its real impacts on a country is crucial. As the world continues to grapple with the effects of environmental degradation, numerous studies have delved into the research between tourism, energy consumption, and pollution emissions. However, the impact of religious tourism on the environment is often overlooked. To bridge this gap, this study explores the relationship between religious tourist arrivals, geopolitical risk, and environmental quality in Italy. By employing ARDL and wavelets coherence analysis on the Italian data from 1997 to 2019, the findings of this study reveal a mitigation effect of religious tourist arrivals and geopolitical risk on CO2 pollution levels. In contrast, it highlights the significance of foreign direct investment and transportation as significant contributors to CO2 pollution. In conclusion, the study highlights the crucial role that religious tourism and religious leaders can play in mitigating environmental pollution and the importance of considering this aspect in future environmental studies as well as emphasize the need for Italian authorities to pay close attention to the impact of foreign direct investment and transportation energy consumption on the environment to achieve sustainable development goals.

Heterogeneous role of energy utilization, financial development, and economic development in ecological footprint: How far away are developing economies from developed ones

This research aims to investigate the impact of energy consumption, financial development, and economic development on the ecological footprint in a panel of 119 developed and developing countries between 2002 and 2018. The study employs panel unit root and autoregressive distributed lag (ARDL) model to achieve this goal. The ARDL results reveal that several factors such as energy consumption, financial development, urbanization, globalization, foreign direct investment, and population growth have a positive relationship with the ecological footprint in developed countries. On the other hand, the human development index and natural resources negatively affect the ecological footprint in developed countries. Moreover, the ARDL results indicate that energy consumption, financial development, urbanization, foreign direct investment, and population growth positively impact the ecological footprint in developing countries in the long run. In contrast, the human development index, natural resources, and globalization have a negative impact on the ecological footprint. These findings imply the need for different policy implications for both developed and developing countries to reduce their ecological footprint.

Impact of coal rents, transportation, electricity consumption, and economic globalization on ecological footprint in the USA

Over the last three decades, the world has been facing the phenomenon of the ecological deficit as the ecological footprint is continuously rising due to the persistent decline of the per-capita bio-capacity. Moreover, there is a substantial increase in globalization and electricity consumption for the same period, and transportation is contributing to economic prosperity at the cost of environmental sustainability. Understanding the determinants of ecological footprint is thus critical for suggesting appropriate policies for environmental sustainability. As a result, this study analyzes the impacts of economic globalization, transportation, coal rents, and electricity consumption in ecological footprint in the context of the USA over the period 1995 to 2018. The data have been extracted from "Global Footprint Network," "Swiss Economic Institute," and "World Development Indicators." The current study has also applied the flexible Fourier form nonlinear unit root test to examine the stationarity among variables. For the empirical estimation, a novel technique, the "quantile auto-regressive distributive lag model," is applied in the study to deal with the nonlinear associations of the variables and to evaluate the long-term stability of variables across quantiles. The study's findings indicate that coal rents, transportation, and globalization significantly and positively contribute to the deterioration of ecological footprints at different quantile ranges in the short and long run. Electricity consumption is found to have a positive and significant impact at lower quantile ranges in the long run but not have a significant impact in the short run. The study suggested that lowering the dependence of the transport sector on fossil fuels, more use of hydroelectricity, and stringent strategies to curb coal consumption would be helpful to reduce the positive influence of these variables on ecological footprints in the USA.

Dynamic nexus between transportation, urbanization, economic growth and environmental pollution in ASEAN countries: does environmental regulations matter?

Prior studies on environmental standards have highlighted the significance of urbanization and transportation in affecting environmental sustainability worldwide. As the empirical and theoretical debates are still unresolved and divisive, the argument of whether urbanization, transportation and economic growth in Association of Southeast Asian Nations (ASEAN) countries cause greenhouse gas (GHG) emissions remains unclear. This study aim is to examine dynamic linkage between transportation, urbanization, economic growth and GHG emissions, as well as the impact of environmental regulations on GHG emission reduction in ASEAN countries over the years 1995-2018. On methodological aspects, the study accompanies a few environmental studies that check the cross-sectional dependence and slope heterogeneity issues. Moreover, the new cross-sectionally augmented autoregressive distributed lags (CS-ARDL) methodology is also applied in the study to estimate the short-run and long-run effects of the factors on GHG emissions. Substantial evidence is provided that GHG emissions increase with transportation, urbanization and economic growth but decrease with the imposition of environmental-related taxations. Augmented mean group (AMG) and common correlated effect mean group (CCEMG) also support the findings of CS-ARDL estimates. Finally, the study calls for drastic actions in ASEAN countries to reduce GHG emissions, including environmentally friendly transportation services and environmental regulation taxes. This study also provides the guidelines to the regulators while developing policies related to control the GHG emission in the country.

Transport infrastructure, economic growth, and transport CO2 emissions nexus: Does green energy consumption in the transport sector matter?

Attaining Sustainable Development Goals (SDGs) is important to control the adverse impacts of climate change and achieve sustainable development. Among the 17 SDGs, target 13 emphasizes enhancing urgent actions to combat climate-related changes. This target is also dependent on target 7, which advocates enhancing access to cheap alternative sustainable energy. To accomplish these targets, it is vital to curb the transport CO2 emissions (TCO2) which increased by approximately 80% from 1990 to 2019. Thus, this study assesses the role of transport renewable energy consumption (TRN) in TCO2 by taking into consideration transport fossil fuel consumption (TTF) and road infrastructure (RF) from 1970 to 2019 for the United States (US) with the intention to suggest some suitable mitigation policies. Also, this study assessed the presence of transport environmental Kuznets curve (EKC) to assess the direction of transport-induced growth. The study used the Bayer-Hanck cointegration test which utilizes four different cointegration techniques to decide cointegration along with the Gradual Shift causality test which considers structural shift and fractional integration in time series data. The long-run findings of the Dynamic Ordinary Least Squares (DOLS) test, which counters endogeneity and serial correlation, revealed that the transport renewable energy use mitigates as well as Granger causes TCO2. However, transport fossil fuel usage and road infrastructure enhance TCO2. Surprisingly, the transport EKC is invalid in the case of the US, and increased growth levels are harmful to the environment. The association between TCO2 and economic growth is similar to a U-shaped curve. The Spectral Causality test revealed the growth hypothesis regarding transport fossil fuel use and economic growth connection, which suggests that policymakers should be cautious while decreasing the usage of transport fossil fuels because it may hamper economic progress. These findings call for revisiting growth strategies and increasing green energy utilization in the transport sector to mitigate transport emissions.

The paradigms of transport energy consumption and technological innovation as a panacea for sustainable environment: is there any asymmetric association?

Technological innovations have a great potential to develop the transportation system as more efficient, intelligent, connected, and sustainable. Therefore, transport energy consumption fundamentally transmutes how goods and people are moved with significant effects on transport demand with related energy consumption on a sustainable environment. To this end, our research aimed at investigating the environmental performance (carbon dioxide and ecological footprint) by stochastic impact by regression through a population, affluence, and technology (STIRPAT) model, and econometric approach for estimation of transport energy consumption from 1975 to 2018 for Pakistan. Moreover, our study supports the literature by exploring the association of technological innovations, financial development, carbon damage costs, and economic growth with the environment. The linear relationships of the variables are governed by the autoregressive distributive lag (ARDL) model that interestingly explored that economic growth and energy consumption, and financial development degrade the environment and resource depletion; however, technological innovations are inclined towards cleaner technologies. For asymmetric findings, we employ the non-linear autoregressive distributive lag technique recently introduced by Shin et al. (2014). The findings validate the existence of an asymmetric relationship between transport energy consumption and environmental indicators. The policymakers' prerequisites the alternative energies apart from conventional energies in the transport sector with technological innovations in transport sector energy consumption like the electronic and hybrid vehicles for a cleaner environment.

Exploring the impacts of economic policy uncertainty, natural resources, and energy structure on ecological footprints: evidence from G-10 nations

The role of energy and natural resources rent has been studied in the literature but very few research works investigated the impacts of economic policy uncertainty and energy structure on ecological footprints (EFs) in the group of ten G-10 countries. Therefore, this research is designed to probe the impacts of economic policy uncertainty (EP), natural resources rent, energy structure, economic growth, and total factor productivity on EF. The annual data for 1995-2018 is analyzed by adopting second-generation methods. The empirical results from the CS-ARDL unveiled that EP is significantly and positively related to EF, indicating that EP is not environmentally friendly in these nations. A 1% increase in EP contributes to EF by 0.025% in the long run. In addition, the results show that natural resource rents and energy structure positively contribute to mitigating EF by 0.012% and 0.095% respectively, while economic growth increases EF by 0.237%. Based on the empirical results, this work suggests addressing the economic policy uncertainty and economic progress to lower ecological deprivation can be a viable solution to attain sustainable development goals. This work recommends adopting feasible economic policies with sound efforts. For this purpose, the economic sector has to be strong enough with sustainable production. They should ensure the supply of continuous renewable energy to the economic sector.

Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks

The research aimed to identify the directions of rationalization of the energy intensity of road freight transport in the context of the long-term balance of the drifting economy. The study was related to the case of Poland, and its scope spans 8.5 years. The long-term drift of the economy and shocks from the production process of the construction, industry, and processing sectors were taken into account in the research. In addition, the structural shocks were decomposed and validated. Twenty-one statistically significant multidirectional and varying relationships between the energy consumption of road transport and production in the construction, industry, and processing sectors were confirmed, including 7 long-term and 14 immediate relationships. The leakage of shocks in production has been demonstrated in the construction, industry, and processing sectors. The shock from the construction sector lowered the energy consumption of road transport in the long run. The greatest impact of the shock occurred only after 6-12 months and slowly stabilized after approximately 24 months. On the other hand, the shock in production in the industry and processing sectors reduced energy intensity in the short term but increased in the long term. The shocks in the industry and processing sectors transformed relatively quickly.

The nonlinear effect of land freight structure on carbon emission intensity: new evidence from road and rail freight in China

The extensive literature has debated the varying effects of factors on carbon dioxide (CO₂) emissions. However, it has paid little attention to land freight structure (FS), including road and rail freight share, which may have different effects on CO₂ emissions. Based on the data from 6 eastern provinces in China during 2005-2019, the panel threshold model is used to explore the dynamic influence mechanism of road and rail freight share on transport carbon emission intensity (CE), respectively. The results show different nonlinear relationships between the share of road and rail freight and transport carbon emission intensity. First, the effect of road freight share on carbon emission intensity is all positive across different stages of trade openness, while such effect goes through a process of increasing and then decreasing with the level of trade openness improving. Second, the driving effect of rail freight share on carbon emission intensity exhibits a "negative-positive-negative" feature as the level of trade openness increases. Third, trade openness generates a double-threshold effect on carbon emission intensity. The differentiated nonlinear effects provide significant evidence of the modal shift from road to rail freight, which would be effective to alleviate transport CO₂ emissions.

The impact of fiscal decentralization, green energy, and economic policy uncertainty on sustainable environment: a new perspective from ecological footprint in five OECD countries

The paper explores the short-run and long-run asymmetric impact of fiscal decentralization, green energy, and economic policy uncertainty on environmental sustainability proxied by ecological footprint. Using the Nonlinear Autoregressive Distributed lag (NARDL) approach in selected five OECD countries, we find that ecological footprint responds to positive and negative fiscal decentralization asymmetrically in the long run and short run. However, the nature of the response varies significantly across countries. The result also suggests that green energy is a major factor in reducing the ecological footprint in all countries except Canada. Finally, economic policy uncertainty plays a negative and significant role in the ecological footprint in the UK, USA, and Germany while insignificant in Australia and Canada. Implications for effective environmental policies are discussed.

Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods

While the transportation sector is one of largest economic growth drivers for many countries, the adverse impacts of transportation on air quality are also well-noted, especially in developing countries. Carbon dioxide (CO2) emissions are one of the direct results of a transportation sector powered by burning fossil-based fuels. Detailed knowledge of CO2 emissions produced by the transportation sectors in various countries is essential for these countries to revise their future energy investments and policies. In this framework, three machine learning algorithms, ordinary least squares regression (OLS), support vector machine (SVM), and gradient boosting regression (GBR), are used to forecast transportation-based CO2 emissions. Both socioeconomic factors and transportation factors are also included as features in the study. We study the top 30 CO2 emissions-producing countries, including the Tier 1 group (the top five countries, accounting for 61% of global CO2 emissions production) and the Tier 2 group (the next 25 countries, accounting for 35% of total CO2 emissions production). We evaluate our model using four-fold cross-validation and report four frequently used statistical metrics (R2, MAE, rRMSE, and MAPE). Of the three machine learning algorithms, the GBR model with features combining socioeconomic and transportation factors (GBR_ALL) has the best performance, with an R2 value of 0.9943, rRMSE of 0.1165, and MAPE of 0.1408. We also find that both transportation features and socioeconomic features are important for transportation-based CO2 emission prediction. Transportation features are more important in modeling for 30 countries, while socioeconomic features (especially GDP and population) are more important when modeling for Tier 1 and Tier 2 countries.

Validation of environmental Philips curve in Pakistan: a fresh insight through ARDL technique

The tremendous increase of greenhouse gases puts adverse effects on environmental degradation, unemployment, and economic growth. Against this backdrop, and implementing the more recent estimation approach, the present study investigates the validity of the novel environmental Phillips curve (i.e., inverse relationship between unemployment and environmental degradation) carried by Kashem and Rahman (2020). The unique contribution of this research is to examine the three environmental indicators (CO₂, CH₄, and ecological footprint) as a dependent variable with the same independent variables, i.e., unemployment rate, energy consumption, economic growth, foreign direct investment, and globalization, from 1975 to 2014 in Pakistan. The results validate a negative relationship of unemployment rate with CO₂, CH₄, and ecological footprint in the long run that proves the existence of environment Philips curve for Pakistan. However, a positive association is observed for energy consumption and CO₂, CH₄, and ecological footprint. The positive connection of energy consumption and environmental indicators determined that not only CO₂ emissions rather CH₄ and ecological footprint play an equal role in environmental degradation. Furthermore, in the long run foreign direct investment improves environmental sustainability for CO₂, and ecological footprint thus proved the pollution halo hypothesis for Pakistan. Probing the effects of globalization that badly pollutes environmental sustainability. Therefore, the policymakers should focus on innovations and technological improvements to contemplate both environmental degradation and unemployment. There is a need for sudden actions for energy consumption plans in Pakistan for the nation's health, economic growth, and environmental sustainability.

Decomposition of the decoupling of CO2 emissions from economic growth in Ghana

The study analysed the relationship between CO2 emissions and economic growth in Ghana, specifically by analysing Ghana's decoupling status from 1990 to 2018. The Tapio elasticity method and the logarithmic mean Divisia index decomposition technique were used in the study to find out what causes CO2 emissions in Ghana to change over time. The analysis revealed that CO2 emissions and economic growth have increased over the study period, with economic growth driven mostly by the services and industrial sectors in the last decade. The decoupling index analysis shows that weak decoupling status dominated the period 1990–2018, interspersed with strong decoupling and expansive negative decoupling status. Economic structure and energy intensity, instead, were found to promote the decoupling of CO2 emissions and economic growth. From the decomposition analysis, CO2 emissions in Ghana are driven on the average by economic activities, emission factors, and population growth. To achieve the Sustainable Development Goal 13, the study suggests that policies to cut CO2 emissions should focus on economic activities, factors that affect emissions, and population growth. Also, to decouple CO2 emissions from economic growth, the implementation of policies that change the structure of the economy and energy intensity towards renewable sources should be intensified in Ghana.

Does foreign direct investment asymmetrically affect the mitigation of environmental degradation in Malaysia?

In this modern era, the global warming issue has been on the front burner of almost all countries including Malaysia. This study utilizing time series data spanning from 1970 to 2018. To this end, a linear and nonlinear autoregressive distributed lag model was conducted to reveal the foreign direct investment-growth-environment nexus. The conclusion validates the existence of the pollution haven hypothesis in Malaysia. Specifically, the empirical results of the linear autoregressive distributed lag model indicate that foreign direct investment and real gross domestic product have a significant positive impact on CO₂ emission while carbon damage cost and the interaction term of foreign direct investment and carbon damage cost have a negative impact in the long run and short run. To find the asymmetric behavior of the foreign direct investment our study employed a nonlinear autoregressive distributed lag model. The findings confirmed the asymmetry association of foreign direct investment with CO₂ emission. Interestingly, our results of the interaction term in both models are significant with a negative sign that shows the mediating effect of carbon damage cost that converts the positive effect of foreign direct investment on CO₂ emission to negative. Thus, it is vital to reinforce the use of significant regulation as the Malaysian economy opens up to attract more foreign direct investment.

Nonlinear impact of biomass energy consumption on ecological footprint in a fossil fuel-dependent economy

Facing the rise in threats that the environment confronts, several studies were conducted regarding the possible sources of renewable energy in general and biomass energy in particular. This study raises the question of the role that biomass energy can play to reduce ecological footprint in a country rich in fossil fuel energy and on which its economy is largely dependent. The results of the NARDL method applied to the case of Saudi Arabia during the period 1984-2017 showed that the positive change in biomass energy consumption reduces the ecological footprint both in the short and long term. For a country dependent on fossil fuel energy as Saudi Arabia, fossil fuel energy and natural resource rents exert negative effects of the ecological footprint in the short term since they provide the necessary funds to finance green projects. However, natural resources rents and positive changes in fossil fuel energy consumption significantly increase ecological footprints in the long term. Urbanization has negative effects on ecological footprint both in the short and long term. The effects of GDP and GDP square on environmental degradation are negative and positive, respectively. However, the effects of these two variables on the ecological footprint are reversed in the long run. For a fossil fuel energy-dependent economy as Saudi Arabia, the biomass energy and the demographic dimension linked to urbanization are important levers for the transition to sustainable development, both in the short and in the long term.

Environmental cost of sustainable development and climate change: can SAARC shift some liability with renewable energy and efficiency?

Sustainable development holds the key not to resolve the problems every nation is facing these days but also for long-lasting effects. In the current era of digital age, each nation wants to achieve sustainable development for their future generations. In addition, environmental sustainability is an imperative module to achieve sustainable development. Hence, the present research work scrutinizes the energy efficiency, CO₂ emission, and renewable energy on the sustainable development of SAARC countries through World Bank sample set from 1995 to 2019. The results infer that CO₂ emissions, renewable energy, energy efficiency, GDP, and FDI show a strong correlation with sustainable development in SAARC counties. Furthermore, renewable energy and energy efficiency have been shown to be reliable instruments for reducing CO₂ emissions and achieving sustainable development in SAARC countries. This research will help policymakers take preventative and constructive actions to achieve sustainable development by reducing CO₂ emissions and uplifting the drivers of sustainable development.

Unveiling the asymmetric impact of energy consumption on environmental mitigation in the manufacturing sector of Pakistan

The manufacturing sector is the backbone for the development of an economy. Numerous studies investigated the impact of aggregative energy consumption on environmental degradation by using typical econometric techniques. To correct this gap, our study uses energy consumption and environmental degradation only in the manufacturing sector of Pakistan for the period 1985 to 2018. Our study also demonstrates the symmetric and asymmetric behaviour of energy consumption with carbon emissions by using a recently developed methodology by Shin et al. (2014). The findings of linear autoregressive distributive lag model shows that energy consumption and financial development intensify environmental degradation, while foreign direct investment and globalization mitigate environmental degradation that leads to validate pollution halo hypotheses in Pakistan. However, non-linear autoregressive distributive lag results confirm the asymmetric behaviour of energy consumption with co₂ emission. This study recommends the policies for policymakers in Pakistan to consider asymmetric behaviour of energy consumption as well as the installation of renewable energy sources and technological improvements in the industrial sector needed to enhance environmental sustainability. Further, there is a need to enhance globalization and foreign direct investment for Pakistan to achieve its environmental targets.

Transport energy consumption and carbon emissions: The role of urbanization towards environment in SAARC region

Most of the existing literature on environmental assessment has concentrated on the linkages between energy consumption and CO₂ emissions, and little attention has been paid to the association between transport energy consumption and CO₂ emissions, which cannot be underestimated. Therefore, the present study contributes to the literature on the sustainable transport sector and urban settlements in South Asian Association for Regional Cooperation (SAARC) countries through an analysis of annual data from 1996 to 2015. Two unit root tests revealed mixed orders of integration for all variables. The Kao cointegration test revealed a strong association among the variables. The panel mean group (PMG) estimator confirmed that urbanization and regulatory quality improve air quality in the SAARC region. Gross domestic product (GDP) and the use of transport energy lower air quality. Considering the role of transport energy use in increasing CO₂ emissions, this study provides some policy implications for the sustainable transport sector in SAARC countries. Integr Environ Assess Manag 2021;17:1286-1292. © 2021 SETAC.

Investigating marginal effect of economic growth on environmental quality based on six environmental indicators: does financial development have a determinative role in strengthening or weakening this effect?

Given the complexity of the correlation of economic growth with financial development, and their interactive impacts on environmental quality, this study attempted to present new insights into indecisive outcomes from the contribution of financial development in determining the impressionability of environmental indicators under economic growth conditions. Previous studies only employed a single environmental indicator for analyzing the correlation between economic factors and environmental quality. However, six environmental indicators are adopted in this study to evaluate environmental quality and to reach major goals of this research. To this end, using 2-stage system generalized technique of moment estimator, the association of economic growth, energy consumption, financial development, environmental indicators, and trade openness is determined in selected OPEC countries for years 2010 to 2019. Findings indicated that accompanied by the effects of economic growth on any EFI, ANS, PN, and EPI variables, the financial development enhances such effect. This is while, the financial development would weaken the economic growth effect on the ESI variable. Regarding EVI, no significant association was observed. Regarding to ESI, EPI, and PN, trade openness applies a significantly positive impact on environmental quality; on the other hand, it has positive role in environmental degradation based on EFI and ANS. This is while, according to the EVI variable, trade openness has not meaningful impact on environmental status. Finally, energy use has significant and positive effects on environmental degradation in each of environmental indicators. However, this variable has not shown significant impact on EPI and ANS. Alternatively, findings indicated that financial development can be considered an important and key variable in improvement of the environmental quality due to the moderating role it plays relative to the negative economic growth effect on the environmental quality. At the end of this paper, some limitations are presented, and some suggestions for further studies are provided as well.

Are Tourism and Energy Consumption Linked? Evidence from Australia

Tourism contributes to the growth of an economy via earning foreign currencies and employment opportunities. However, tourism also contributes to greater energy consumption because of various tourist activities such as hotel accommodations and transportation. This study investigates the long-term cointegrating relationship between international tourist arrivals and primary energy consumption in Australia. In addition, the roles of gross domestic product, gross fixed capital formation, financial development, and total population on energy consumption are also examined. The study covered the last four decades (1976–2018) using data from the Australian Bureau of Statistics, BP Statistical Review, and the World Development Indicators. Augmented Dickey-Fuller, Phillips-Perron, Autoregressive distributed lag (ARDL) bound tests, Johansen and Juselius, Bayer-Hanck cointegration test, and several key diagnostic tests have been conducted to assess the relationship. The estimated results indicate that tourist arrivals, gross domestic product, and financial development have a significant long-run cointegrating relationship with energy consumption. Policy measures are suggested based on the findings of this study.

A Cross-Sectoral Investigation of the Energy–Environment–Economy Causal Nexus in Pakistan: Policy Suggestions for Improved Energy Management

This paper explored the energy–environment–economy (EEE) causal nexus of Pakistan, thereby reporting the causal determinants of the EEE nexus by employing the newly developed modified Peter and Clark (PC) algorithm. The modified PC algorithm was employed to investigate the causal ordering of energy consumption, CO2 emissions and economic growth across Pakistan’s domestic, industrial, transportation and agricultural sectors. An empirical comparison, i.e., following Monte Carlo simulation experiments demonstrates that the proposed modified PC algorithm is superior to the original PC proposition and can differentiate between true and spurious nexus causalities. Our results show that significant causality is running from energy consumption in industrial and agricultural sectors towards economic growth. There is no causal association between energy consumption and economic growth in the domestic and transportation sectors. On the other hand, causality runs from energy consumption in the transportation, domestic and industrial sectors towards CO2 emissions. It is concluded that energy consumption in industrial and agricultural sectors leads to economic growth alongside the associated CO2 emissions. On the other hand, the contribution of domestic and transportation sectors in economic growth is trivial with significant CO2 emissions. This paper provides novel empirical evidence of impacts of energy mismanagement at sectoral levels, economic output and environmental consequences; alongside policy recommendations for sustainable energy-based development on the national scale.

Foreign investment, economic growth, and environmental degradation since the 1986 "Economic Renovation" in Vietnam

Vietnam has achieved impressive economic growth principally supported by foreign direct investment (FDI) in the last three decades. However, environmental deterioration is observed. No studies have ever been conducted to examine the link between economic growth and environmental degradation, focusing on the important role of the FDI, in Vietnam in both short run and long run. Using the ARDL and the threshold regression techniques for 35 years from 1986, Vietnam's "Doi Moi" (economic renovation), the U-shaped relationship between economic growth and the environmental quality is found in the long run and at the upper threshold of economic growth. FDI in the long run and at the upper threshold of economic growth also leads to further deterioration of the environmental quality. Also, consumption of fossil fuel energy deteriorates the environment in the long run, and at any level of economic growth. These findings simply mean that Vietnam has to adopt a new growth model with the focus on the quality FDI projects and clean energy sources to achieve the dual objectives: (i) sustained economic growth and (ii) improved environmental quality.

A Comparative Study between Government Support and Energy Efficiency in Malaysian Transport

The 2030 Agenda states that sustainable transport systems, as well as other associated energy systems and policies, would create a strong economic foundation for all countries. In this regard, countries need to pay more attention to their transport systems. This has been accomplished through a great deal of work and policies that they can enact, such as improving fuel efficiency and government support. Therefore, this study attempts to compare the impact of a 10% increase in government subsidies and a 5% increase in improvement in fuel efficiency to the transport subsectors in Malaysia using a computable general equilibrium model (CGE). Results suggest that fuel efficiency improvement is an effective policy in increasing economic growth, exports, investment, and household consumption for the entire economy. While both policies increase output, employment, investment, and household use across the transport subsectors, except water transport, the magnitude of the impacts is greater for improving fuel efficiency policy. Improving fuel efficiency, despite the reduction in energy consumption in the land and water transportation subsectors, has led to a rebound in the air and other transport subsectors. However, increasing government subsidies to transport subsectors increases energy consumption and CO2 emissions in these subsectors. The outcomes of this policy can be used for the future of sustainable development in Malaysian transportation systems.

The role of financial development, R&D expenditure, globalization and institutional quality in energy consumption in India: New evidence from the QARDL approach

The aim of this research is to explore the association between financial development, research and development (R&D) expenditures, globalization, institutional quality, and energy consumption in India by using the quarterly data of 1995-2018. Quantile Autoregressive Distributed Lag (QARDL) approach is employed to examine the relationship. An application of the QARDL approach suggests that the R&D, financial development, globalization, and institutional quality significantly influence energy utilization in India. R&D and institutional quality have a negative effect on energy utilization which shows that due to the increase in the quality of institutions and R&D in the country, energy utilization is likely to decrease. However, globalization and financial performance have a positive influence on energy which depicts that due to the increase in financial performance and globalization in India the energy consumption is likely to increase. According to the outcomes of this research, India should make a policy to ease the penalties of energy utilization by monitoring resource transfer by means of globalization and by implementing energy conversation procedures through the advancement of the financial sector.

The step towards environmental mitigation in Pakistan: do transportation services, urbanization, and financial development matter?

This study is a scholarly effort to broaden the existing literature on the impact of transportation services, urbanization, and financial development on ecological footprints in Pakistan. Data used in this study covers the period of 39 years from 1980 to 2018. This study adopted the QARDL model to tackle the non-linear association of variables and test their long-run stability across the different quantiles. The findings of this study indicated a significant negative association of transportation services and financial development with ecological footprints in Pakistan at almost all quantiles whereas, the urban population was found to be positively associated with the ecological footprint in Pakistan. Results also justify the existence of the EKC hypothesis in the scenario of Pakistan. Policymakers are advised to frame strategies for investors to invest more in eco-friendly projects to curtail the ecological footprints in Pakistan. Minimizing the dependency of the transportation sector on fossil fuel, and increased use of energy-efficient appliances in the urban population would be beneficial to control the negative influence on ecological footprints in Pakistan.

Driving forces and decoupling indicators for carbon emissions from the industrial sector in Egypt, Morocco, Algeria, and Tunisia

North Africa currently accounts for about 40% of Africa's total CO₂ emissions, and the industrial sector is one of the energy-intensive sectors in the region. To this end, special attention should be paid to this region if the African continent's GHG mitigation targets are to be achieved. An extended decomposition approach was combined with the Tapio method to explore the decoupling of CO₂ emissions from industrial growth in North African countries over the period of 1990-2016. The effects of five factors were assessed in the decoupling and the study took into account all fossil fuels used in the industrial sector of this region. Unlike Morocco, Egypt, Tunisia, and Algeria, this study did not consider Libya because of the unavailability of data. Meanwhile, the results showed that: (i) low decoupling was achieved in Tunisia, compared with Morocco and Egypt, where significant decoupling occurred significantly over the study period. (ii) Due to the slowdown in industrial growth, the decoupling analysis did not show satisfactory results in the case of Algeria. (iii) Scale effects contributed to promoting decoupling only in Algeria, while the energy intensity effect played a negative role in decoupling only in Tunisia. (iv) The energy structure effect played an important role in decoupling in Tunisia and Egypt, while the economic structural effect favored decoupling in Tunisia and Morocco alone. An energy policy conducive to the use of more renewable energy is needed to promote decoupling in North African countries.

Predictors of carbon emissions: an empirical evidence from NAFTA countries

This study examined the predictors of carbon emissions in member countries of the North American Free Trade Agreement (NAFTA). Panel models robust to cross-sectional dependence and slope heterogeneity were used for the study. From the heterogeneity and cross-sectional dependence tests, the studied panel was heterogeneous and cross-sectionally dependent. Also, the unit root and cointegration tests established the series to be first differenced stationary and cointegrated in the long run. Additionally, results of the CCEMG regression estimator in the whole panel affirmed economic growth (GDP) to be a significantly positive predictor of CO₂ emissions, while foreign direct investments (FDI) and population growth (POP) were trivial determinants of CO₂ emissions. The discoveries were however diverse in the individual countries. Finally, there was no causality between GDP and CO₂ emissions and between POP and CO₂ emissions. However, there was a one-way causality from CO₂ emissions to FDI. Policy recommendations are further discussed.

Asymmetric effects of energy consumption and economic growth on ecological footprint: new evidence from Pakistan

This study explores the asymmetric effects of both aggregate and disaggregate forms of energy consumption along with economic growth on environmental quality for Pakistan covering the period from 1971 to 2014. We have employed unit root test with breaks for stationary checks, BDS test for nonlinearity check and nonlinear autoregressive distributed lag (NARDL) approach for assessing the asymmetric co-integrating relationships among the variables by decomposing them into positive and negative shocks. The empirical findings for aggregate consumption reveal that only negative shocks have a significant impact on ecological footprint. Similarly, different sources of energy consumption have diverse asymmetric effects on ecological footprint. The positive (negative) shocks to oil and gas consumption increase (decrease) ecological footprint. Thus, an increase in oil consumption has a deteriorating impact on environmental quality while a decrease in gas consumption has a favorable impact on environmental quality. The asymmetric relationships also hold between coal consumption, electricity consumption, and ecological footprint. The positive shocks to coal and electricity consumption are negatively related with environmental quality while negative shocks are positively related with environmental quality.

Analyzing extended STIRPAT model of urbanization and CO2 emissions in Asian countries

CO₂ emissions tend to increase more rapidly in underdeveloped economies as compared to developed countries mainly in China, India, and Asia. One of the aspects that accounts for the increasing CO₂ emissions is urbanization (UR) and it is increasing all over the world particularly in Asian and African regions. The present study examines the impact of energy use and UR on carbon emissions over the period 1995 to 2018 while using the extended STIRPAT model for Asian countries. Panel co-integration techniques and Granger causality test are applied on selected variables. FMOLS and DOLS methods are also applied to check for robustness. Findings confirm the presence of long-run co-integration among variables. The outcomes propose that energy consumption and UR have positive impact on CO₂ emissions and output. Outcomes also reveal that financial development (FD) has negative effect on emissions of CO₂ but positive effect on economic growth. Results of Granger causality technique indicate that long-run causality association exists among emissions of CO₂, economic growth, and UR. In the short run (SR), bidirectional causal relationship has been found between trade openness and FD.

Transport energy consumption and environmental quality: Does urbanization matter?

Previous studies on environmental quality have emphasized the importance of transportation and urbanization in influencing carbon emission globally. While the theoretical and empirical discussions remain inconclusive and controversial, the question of whether transport energy consumption and urbanization induce emissions of carbon dioxide in sub-Saharan Africa (SSA) remains unclear. This study contributes to the ensuing debate on sustainable transportation and urban development, focusing on the link between transport energy consumption, urbanization and carbon emissions in 19 SSA countries over 31 years (1980-2011). Using the IV-GMM estimator that accounts for endogeneity and cross-sectional dependence inherent in panel dataset, three key findings emerge from the study. First, we find substantial evidence that CO₂ emission increases with transport energy consumption and decreases with urbanization. Second, factors such as electricity consumption and population growth rate worsen CO₂ emission, whereas regulatory quality and FDI significantly reduce carbon emission in the region. Third, the predicted effect of urbanization and transport energy consumption on CO₂ emission vary quite dramatically across SSA countries. We argue for drastic policies tailored towards reducing carbon emission in SSA.

Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model

The economic and health impacts resulting from the greenhouse effect is a major concern in many countries. The transportation sector is one of the major contributors to greenhouse gas (GHG) emissions worldwide. Almost 15 percent of the global GHG and over 20 percent of energy-related CO2 emissions are produced by the transportation sector. Quantifying GHG emissions from the road transport sector assists in assessing the existing vehicles’ energy consumptions and in proposing technological interventions for enhancing vehicle efficiency and reducing energy-supply greenhouse gas intensity. This paper aims to develop a model for the projection of GHG emissions from the road transport sector. We consider the Vehicle-Kilometre by Mode (VKM) to Number of Transportation Vehicles (NTV) ratio for the six different modes of transportation. These modes include motorcycles, passenger cars, tractors, single-unit trucks, buses and light trucks data from the North American Transportation Statistics (NATS) online database over a period of 22 years. We use multivariate regression and double exponential approaches to model the projection of GHG emissions. The results indicate that the VKM to NTV ratio for the different transportation modes has a significant effect on GHG emissions, with the coefficient of determination adjusted R2 and R2 values of 89.46% and 91.8%, respectively. This shows that VKM and NTV are the main factors influencing GHG emission growth. The developed model is used to examine various scenarios for introducing plug-in hybrid electric vehicles and battery electric vehicles in the future. If there will be a switch to battery electric vehicles, a 62.2 % reduction in CO2 emissions would occur. The results of this paper will be useful in developing appropriate planning, policies, and strategies to reduce GHG emissions from the road transport sector.

A New Solution for City Distribution to Achieve Environmental Benefits within the Trend of Green Logistics: A Case Study in China

Green logistics has become a consensus and an important method to achieve sustainable development in industrial activities. However, the traditional direct distribution mode has high carbon emissions, an uncertain delivery time, and a low delivery efficiency. Uncoordinated resource allocations and unreasonable network layouts of terminal distributions have shackled green development within the express delivery industry. Considering the trend of green logistics, this study innovatively proposes a comprehensive and environmentally friendly mode for city distribution based on end crowdsourcing service stations (ECSSs). This study also adopts node centrality indices of complex network theory to evaluate the node importance of existing terminal distribution outlets. The comprehensive weights of the indices are obtained via the three-scale AHP (Analytic Hierarchy Process) and TOPSIS (Technology for Order Preference by Similarity to an Ideal Solution) methods to identify the candidate nodes for ECSSs. Finally, a location model is built to determine the optimal location to establish the ECSSs. A real-world case study was conducted to provide the location scheme of ECSSs in Beijing, China. Environmental benefits as well as economic and social benefits can be substantially achieved through the implementation of the new mode. The results show that carbon emissions can be reduced by 23.79–28.49% for the end of the distribution, 16.27–16.35% for the front-end, and approximately 17% for the entire distribution. Additionally, the loading rate of vans for the front-end of the distribution can be improved by 15.77%.

Signifying the imperative nexus between climate change and information and communication technology development: a case from Pakistan

The globe has faced technological affluence that enormously revolutionized the lives of humankind. Today, the manufacturing process of the energy sector, production sector, agriculture sector, and service sector is exclusively or partially based on ICT tools. The key intention of this investigation is to find out the impacts of the utilization of ICT on CO₂ emission. However, this investigation also evaluates the influence of investment in ICT and the trade of ICT tools on CO₂ emission. Further, the estimation examined the subsistence of environment Kuznets curve (EKC) theory, for the nation of Pakistan. The investigation employed an autoregressive distributed lag (ARDL) model and found that the utilization of ICT has a negative impact on CO₂ emission. Moreover, the long-run results revealed that the import of ICT equipment is more beneficial for the environment quality of Pakistan. However, ICT apparatus manufactured in Pakistan might produce electronic waste due to non-utilization of green technology. The study reported bidirectional causality between ICT and CO₂ emission. These results point towards that the emergence of ICT in industries and daily life possesses a significant and positive role in climate change in Pakistan. Also, this study corroborates the veracity of EKC in Pakistan.

Symmetric and asymmetric impact of oil price, FDI and economic growth on carbon emission in Pakistan: Evidence from ARDL and non-linear ARDL approach

Several studies have examined the impact of economic growth on carbon emission; however, the symmetric and asymmetric impact of oil price along with FDI on carbon emission has not studied in the case of Pakistan. For this purpose, the long and short-run impact of per capita income, FDI, and oil price on carbon emissions investigated by employing the ARDL and non-linear ARDL cointegration methodology, along with Granger causality in the context of Pakistan for 1971-2014. This study confirms the EKC hypothesis for Pakistan under both methodologies, whereas symmetric results show that economic growth and FDI intensify carbon emission in both the long and short-run, while oil price increase emission in the short-run and reduces emission in the long-run. Whereas asymmetric results in the long-run show that an increase in oil price reduces emissions and decrease in oil price intensify emissions. The causality analysis also supports the above findings and suggests a feedback effect between economic growth and carbon emission in Pakistan. This study provides implications for policymakers, where the descending flow of FDI allows limited space to Pakistan in FDI selection; however, the presence of emission convergence and adoption of carbon pricing may facilitate Pakistan in achieving its environmental targets. While diversifying the overall energy mix towards more renewable/clean energy along with formulating favorable policies for the adoption of renewable energy like solar by the industrial and residential consumers can further reduce the overall emission levels.

Circular bio-economy via energy transition supported by Fuzzy Cognitive Map modeling towards sustainable low-carbon environment

Several energy transition plans attempt to establish low-carbon practices towards a circular bio-economy in order to reduce greenhouse gas emissions. However, most actions only try to assuage the impacts of climate change without improving the resource flows generated by human activities. In this paper, we propose a semi-quantitative assessment of the impacts of biowaste-based energy transition by engaging all relevant social stakeholders' evaluation in the strategic plan. This holistic approach models a Decision Support System (DSS) to effectively evaluate the interplay of local and sectoral low-carbon actions. Regional energy alliances and stakeholders are used for participatory modeling to promote the buildup of the learning base of this DSS. The core pillar of the DSS involves the application of advanced features of soft computing for the development of a Fuzzy Cognitive Map (FCM) that elicits the inter-causalities of the critical factors affecting the energy transitions towards bio-economy options. The concepts participating in the map are established by experts, and their interrelations via a learning process that utilizes survey statistics. The strands of research include scenarios to highlight the effect of energy provision to urbanization and the increase of urban actors (social, technological, political) in influencing the decision making related to low-carbon policies. Particularly, we study a use case of a Greek region that, despite its munificent agricultural production, also disclosures a stimulated manufacturing economy sector. The proposed decision making tool uses analytics and optimization algorithms to guide competent authorities and decision makers to sustainable energy transitioning towards decarbonization.

Reducing carbon emissions from collaborative distribution: a case study of urban express in China

The booming development of e-commerce has brought about rapid growth in the express delivery industry in China. However, urban express distribution is increasingly difficult and seriously affecting the traffic, safety, and environmental conditions of cities due to small, scattered end points, unreasonable allocation of resources, and seriously repeated resource waste. Therefore, there is an urgent need to solve the problems associated with the unreasonable resource allocation of express distribution. In the context of green logistics, a new mode of collaborative distribution based on intelligent end service station (IESS) is proposed. Following the measurement models of carbon emissions, before and after collaborative distributions are provided to prove the environmental benefits of the new mode. The influencing factors considered in the models are the average daily distribution volume, number of distribution sections, vehicle ownership of various types, and their capacity, use, fuel, and power consumption. To verify the models' validity, we conduct an empirical study of five express enterprises in China and make a comparative analysis on the results, which show that the implementation of collaborative distribution can extremely reduce carbon emissions and improve the overall load rate of vehicles. Specially, the use of new energy vehicles can contribute significantly to energy conservation and emissions reduction.

The nexus between urbanization, road infrastructure, and transport energy demand: empirical evidence from Pakistan

Transport sector of Pakistan contributes more than one half to the national energy consumption. This sector is dominated by road transportation and mainly relies on fossil fuels. The country is going through rapid unplanned urbanization, which can lead to detrimental health and ecological consequences by intensifying road transport energy consumption. Therefore, the current study investigates the effect of urbanization on road sector energy consumption controlling for economic growth, road infrastructure, and industrialization. The autoregressive distributed lag (ARDL) approach is used to examine the long-run and short-run relationship between variables over the period 1971 to 2018. The vector error correction model (VECM) is employed to analyze the causality between variables. The results disclose a significant positive contribution of urbanization to road sector energy consumption. Further, road infrastructure, economic growth, and industrialization stimulate road transport energy consumption. Feedback effect exists between urbanization and road transport energy consumption, while economic growth Granger causes road sector energy consumption, urbanization, and road infrastructure. The findings imply that energy conservation and sustainable urbanization policies are a better choice under the current economic situation. Also, road infrastructure development in rural areas may reduce rural to urban migration.

Application of a Adaptive Neuro-Fuzzy Technique for Projection of the Greenhouse Gas Emissions from Road Transportation

In the past, different forecasting models have been proposed to predict greenhouse gas (GHG) emissions. However, most of these models are unable to handle non-linear data. One of the most widely known techniques, the Adaptive Neuro-fuzzy inference system (ANFIS), can deal with nonlinear data. Its ability to predict GHG emissions from road transportation is still unexplored. This study aims to fulfil that gap by adapting the ANFIS model to predict GHG emissions from road transportation by using the ratio between vehicle-kilometers and number of transportation vehicles for six transportation modes (passenger cars, motorcycle, light trucks, single-unit trucks, tractors, and buses) from the North American Transportation Statistics (NATS) online database over a period of 22 years. The results show that ANFIS is a suitable method to forecast GHG emissions from the road transportation sector.

Investigating the impact of human capital on the ecological footprint in India: An empirical analysis

Many recent studies have focused on the influencing factors of the ecological footprint, but less attention has been given to human capital. Human capital, which is based on education and rate of return on education, may reduce the ecological footprint since environmental issues are human-induced. The current study investigates the impact of human capital on the ecological footprint in India for the period 1971 to 2014. The outcomes of the newly developed combined cointegration test of Bayer and Hanck disclose the long-run equilibrium relationship between variables. The findings reveal a significant negative contribution of human capital to the ecological footprint. The results of the causality test show that human capital Granger causes the ecological footprint without any feedback. In addition, energy consumption adds to the ecological footprint, while the relationship between economic growth and ecological footprint follows an inverted U-shaped pattern. The findings unveil the potential to reduce the ecological footprint by developing human capital.