Increase In CO2 Emissions Research Articles

European institutional quality and carbon emissions: Convergence club analysis

If the quality of institutions in the European Union (EU) converged, harmonized policies could achieve climate neutrality. This paper examines institutional convergence within the EU using log-t regression, allowing for the possibility of multiple equilibria. It also analyzes how overall institutional quality affects carbon dioxide (CO2) emissions in three identified convergence clubs over thirty years. Driscoll-Kraay and Prais-Winsten standard errors estimators are used, accounting for economic growth, renewable energy, industrialization, urbanization, innovation, and exogenous shocks. The results show that institutional quality affects CO2 emissions differently across clubs, emphasizing customized policy approaches. Addressing endogeneity, a two-stage least squares fixed effects estimator reveals that institutional quality has a negative, but statistically insignificant, effect on CO2 emissions in both the highest and lowest institutional quality clubs, while significantly increasing emissions in the mid-tier club. Economic growth increases CO2 emissions, whereas renewable energy consumption reduces them across all convergence clubs and methods. Other factors vary across clubs.

The dynamic nexus between economic growth, renewable energy use, urbanization, industrialization, tourism, green supply chain management, and CO2

Since 2012, China has pursued an “ecological civilization” policy to promote green energy, increase environmental protection, and transition to more sustainable growth models. The complicated positive trends in energy consumption, more sustainable economic growth, and ecological management are obscured by China's persistent, significant dependence on fossil fuels, particularly coal. The study aims to analyze how renewable energy use in China affects carbon dioxide emissions and how those impacts change over time, as well as urbanization, industrialization, tourism, and green supply chain management. The DOLS dynamic system method used historical data from 1995 to 2022. The DOLS results show a positive and statistically significant economic growth coefficient in the long term, suggesting that an increase of only one percent in CO₂ emissions rise would be proportional to a surge in economic growth.Furthermore, using renewable energy sources correlates with long-term sustainability negatively and significantly. The results show reducing CO₂ emissions and boosting renewable energy use by 1 %. Furthermore, the long-run coefficients for industrialization and urbanization are positive and statistically significant, indicating that a 1 % increase in either component results in a comparable increase in CO₂ emissions. Sustainable logistics and tourism have negative and statistically significant coefficients, meaning that a one percent increase will gradually decrease carbon dioxide emissions. The estimated findings hold up when using other estimators, such as the commonly used co-integrating regression (CCR) strategy and fully modified least squares (FMOLS). When Granger causality is coupled, the test also catches the variables' causal link. test. To achieve environmental sustainability, the essay suggests using robust regulatory policy tools to curb ecological deterioration.

Simplification of clean development mechanism to measure CO2 emission reductions from shifting private transportation to mass rapid transit: a case study of MRT Jakarta Phase 1

Background The Indonesian government built the Mass Rapid Transit (MRT) in Jakarta to reduce traffic congestion and carbon dioxide (CO2) emissions. The objective of this study is to estimate the CO2 emissions reductions from switching from private transport to MRT by using a methodology proposed by the United Nations Convention on Climate Change (UNFCCC) for developing countries, namely the Clean Development Mechanism (CDM) methodology, which generates Certified Emission Reductions (CERs). This methodology is more comprehensive than other available methodologies. However, this method has not been widely used to calculate greenhouse gas (GHG) emission reductions in mass transit projects because it is complex enough to require a lot of data based on primary surveys. Therefore, this research simplifies the CDM formula to make it easier and applicable in Indonesia. Methods The primary data were collected using a questionnaire distributed to 480 MRT Jakarta Phase 1 user respondents in September 2019 (baseline); the secondary data were obtained from The MRT Jakarta. The data were processed using IBM SPSS Statistics 27. The simplified Clean Development Mechanism Approved Consolidated Methodology 0016 (CDM ACM 0016) was the analysis method used. Result The results of this study indicate that 53.75% of MRT Jakarta Phase 1 users are shifting from private transportation, which has reduced CO2 emissions by 2,732.7 tons in 2019 and 6,043.9 tons in 2023. Increasing the number of MRT passengers who switch from private transportation will further reduce CO2 emissions. Conclusion and implications The simplified CDM ACM 0016 formula may be suitable for use in Indonesia. This would enable the measurement of CO2 emission reductions through mitigation actions through MRT development to be certified by the UNFCCC. Applying this method in calculating CO2 emission reductions, implementing strategies to increase MRT passengers, and using renewable energy electricity sources would increase CO2 emission reductions.

Driving low-carbon mechanisms through smart investments in renewable resources and green finance initiatives among G20 nations

In light of the escalating concerns regarding climate change and environmental decline, major nations are actively exploring strategies to mitigate environmental harm and achieve future sustainability. The surge in economic expansion in developed economies is linked to an increase in CO2 emissions. Consequently, in their pursuit of carbon-neutral policies, these countries are increasingly turning towards renewable energy as a means to enhance resource conservation and efficiency. This research investigates the varied impacts of renewable energy investment, green finance, geopolitical risk, GDP growth, foreign direct investment, and gross fixed capital formation on the carbon emissions of G20 countries. The study uses the CUP-FM (Continuously Updated Fully Modified) and CUP-BC (Continuously Updated Bias-Corrected) estimators, which are sophisticated econometric approaches designed to handle non-stationary panel data and cross-sectional dependency, to produce robust long-term parameter estimates. The CUP-FM estimator adjusts for potential endogeneity and serial correlation, improving the accuracy of long-run relationships in panel data. The CUP-BC estimator provides bias-corrected estimates to further enhance the precision of these long-run connections.The long-term parameter estimates reveal a negative correlation between renewable energy investment, green finance, and carbon emissions. In contrast, foreign direct investment, gross fixed capital formation, GDP growth, and geopolitical risk are positively associated with CO2 emissions. This suggests that financial stability often leads to investments in carbon-heavy economic ventures, thereby implicating economic growth as a contributing factor to environmental degradation in G20 countries.

Examining macroeconomic factors and environmental sustainability: An OLS regression analysis of the impact of exports, imports, governmental budget, and oil products on CO2 emissions in Jordan

This study aims to investigate the relationship between macroeconomic factors and CO2 emissions. The study used a sample of data covering the period from 1991 to 2019 and employed ordinary least squares (OLS) method to estimate the relationship. The study found that there is a strong relationship between CO2 emissions and the macroeconomic factors of exports, imports, governmental budget, and oil products. The R-squared value of 0.717668 suggests that these variables explain approximately 72% of the variation in CO2 emissions. The coefficients for exports, imports and oil products are statistically significant at the 5% level. A negative coefficient for exports indicates that an increase in exports is associated with a decrease in CO2 emissions. On the other hand, a positive coefficient for imports suggests that an increase in imports is associated with an increase in CO2 emissions. Additionally, the positive coefficient for oil products indicates that an increase in oil product consumption is associated with a significant increase in CO2 emissions. The coefficient for the government budget variable is not statistically significant, which suggests that changes in the government budget do not have a significant impact on CO2 emissions. The results are robust and reliable as the assumptions of linearity, normality and homoscedasticity of errors were met. The study results could help policy makers in taking potential actions to mitigate CO2 emissions in the country.

Trend analysis on CO2 emissions and their implications: a comparative study between India and China.

This research paper aims to provide a comparative trend analysis of CO2 emissions from the two largest emitters, India and China. The analysis focuses on the main sources of CO2 emissions-coal, oil, cement, and gas and their annual data and global share percentages from 1960 to 2019. The study uses non-parametric trend analysis methods, which do not rely on assumptions of normality, outliers, or data length. Pettitt's test, a well-established non-parametric method, was used to detect sudden shifts in the data. The Mann-Kendall (MK) test and Sen's slope estimator were then applied to identify the presence or absence of monotonic linear trends and assess the magnitude of the slopes. In addition, the innovative trend analysis (ITA) method was used, which is particularly effective in detecting and visualizing monotonic, non-monotonic, and sub-trends. The ITA method has the advantage of presenting these trends in a graphical format. According to the results of Pettitt's test, an abrupt change was detected in India in 1989 for all sources of CO2 emissions. In China, however, an abrupt change was detected in 1989 for coal and gas-related sources, while other sources showed a change point in 1990. The results of the MK test and the ITA method showed that all sources show only monotonic increasing trends. Based on the results of Sen's slope estimator, the average rate of change of CO2 emissions is significantly higher in China than in India in all categories after the detection of the abrupt change point. Policymakers should promote the adoption of renewable energy sources, such as solar, wind, hydro, and geothermal, and also implement strategies to control deforestation to counteract the abnormal increase in CO2 emissions. Finally, this research lays a solid foundation for future studies on CO2 emissions.

Illuminating the path to decarbonization: Nuclear energy consumption, clean energy production, and sustainable fuel production for long-term development

The global concern over carbon emissions has necessitated a deep understanding of energy use and air pollution. The fossil fuel- and nuclear-dependent Russian economy is an exciting exception. It examined how nuclear energy consumption (NEC), electricity generation, R&D investment, clean energy production technology, e-commerce penetration, capital creation, and carbon pollution affect the Russian economy. Short- and long-term interactions between these variables are assessed using the ARDL-Bound testing model for 1995Q1–2020Q4. The results show that NEC negatively correlates with CO2 emissions. The study also supports the inverted U-shaped Environmental Kuznets Curve (EKC) hypothesis, showing a positive and significant relationship between clean power production technology and CO2 emissions and a negative and significant relationship between square clean alternative energy innovation and CO2 emissions. Scientific and technical expenditures, fossil fuel coal liquefaction, and investment all negatively and statistically significantly affect CO2 emissions. However, the analysis implies that e-commerce increases CO2 emissions. These findings highlight the need for significant R&D investment to create precise and realistic ways to decrease carbon emissions and protect the environment in accordance with COP 26 targets. These findings have significant implications for the Russian economy, showing that improving energy sources and investing more in R&D may reduce carbon emissions.

Economic and Environmental Degradation in ASEAN: A Focus on Indonesia, Singapore, and Myanmar

This study aims to analyze the determinants of greenhouse gas emissions in several ASEAN countries. The research utilizes secondary data from the World Bank covering the period from 1990 to 2019, employing panel data regression with Fixed Effect Model (FEM) estimation. The findings reveal that all independent variables in the study have a significant relationship with CO2 emissions, with coefficients below 1, indicating an inelastic effect. Specifically, higher GDP per capita increases CO2 emissions, while higher FDI reduces them. This suggests that while economic growth contributes to higher CO2 emissions, foreign investment may help reduce emissions. It is important to note that these results are specific to the countries studied (Indonesia, Singapore, and Myanmar) and cannot be generalized to other countries.

Potential for nutrients reuse, carbon sequestration, and CO2 emissions reduction in the practice of domestic and industrial wastewater recycling into agricultural soils: A review

This review assesses the feasibility of reusing treated wastewater for irrigation in agricultural soils as a strategy for nutrients recycling and mitigation of CO2 emissions. Through a literature review, it was examined wastewater sources enriched with carbon and nutrients, including municipal wastewater and associated sludge, vinasse, swine wastewater, as well as wastewater from the food industry and paper and pulp production. The review also explores the dynamics of organic matter within the soil, discussing the aspects related to its potential conversion to CO2 or long-term storage. It was found that industrial wastewaters, owing to their higher organic matter and recalcitrance, exhibit greater potential for carbon storage. However, the presence of pollutants in wastewater necessitates careful consideration, particularly concerning their impact on soil quality. Toxic metals, microplastics, and organic compounds emerged as significant contaminants that could accumulate in the soil, posing risks to ecosystem health. To mitigate the environmental impacts, it was evaluated various wastewater treatment technologies and their associated carbon emissions. While advanced treatments may effectively reduce the contaminant load and mitigate soil impacts, their adoption is often associated with an increase in CO2 emissions. Membrane bioreactors, microfiltration, ultrafiltration, and up-flow anaerobic sludge blanket reactors were identified as promising technologies with lower carbon footprints. Looking ahead, future research should aim to enhance the understanding of carbon dynamics in soil and validate the environmental impacts of treated wastewater disposal. Despite remaining uncertainties, the literature indicates a positive outlook for wastewater recycling in soil, offering a viable strategy for carbon storage and mitigation of greenhouse gas emissions.

Effects of Different Straw Return Modes on Soil Carbon, Nitrogen, and Greenhouse Gas Emissions in the Semiarid Maize Field.

Returning straw to the field is a crucial practice for enhancing soil quality and increasing efficient use of secondary crop products. However, maize straw has a higher carbon-to-nitrogen ratio compared to other crops. This can result in crop nitrogen loss when the straw is returned to the field. Therefore, it is crucial to explore how different methods of straw return affect maize (Zea mays L.) farmland. In this study, a field experiment was performed with three treatments (I, no straw returned, CK; II, direct straw return, SR; and III, straw returned in deep furrows, ISR) to explore the effects of the different straw return modes on soil carbon and nitrogen content and greenhouse gas emissions. The results indicated that the SR and ISR treatments increased the dissolved organic carbon (DOC) content in the topsoil (0-15 cm). Additionally, the ISR treatment boosted the contents of total nitrogen (TN), nitrate nitrogen (NO3--N), ammonium nitrogen (NH4+-N), dissolved organic nitrogen (DON), and DOC in the subsurface soil (15-30 cm) compared with CK. When it comes to greenhouse gas emissions, the ISR treatment led to an increase in CO2 emissions. However, SR and ISR reduced N2O emissions, with ISR showing a more pronounced reduction. The ISR treatment significantly increased leaf and grain biomass compared to CK and SR. The correlation analyses showed that the yield was positively correlated with soil DOC, and soil greenhouse gas emission was correlated with soil NO3--N. The ISR technology has great potential in sequestering soil organic matter, improving soil fertility, and realizing sustainable agricultural development.

Combustion characteristics on ammonia injection velocity and positions for ammonia co-firing with coal in a pilot-scale circulating fluidized bed combustor

Ammonia (NH3) co-firing with coal in thermal power plant offers a viable solution for reducing CO2 emissions. Optimizing the NH3 injection method is crucial to achieving comparable performance and pollutant emissions in NH3–coal co-firing compared to coal only combustion in a circulating fluidized bed combustion system. The impact of NH3 co-firing with coal on the injection velocity and location in related to the NH3 supply method was evaluated. Injection velocity was controlled by varying the number of ammonia supply ports and their heights (0.2 m and 1.8 m from the distributor). Injecting NH3 through one port at a high velocity of 2.4 m/s increases CO emissions while decreasing NO emissions due to the formation of a reducing environment. Conversely, utilizing two ports with low NH3 injection velocity of 1.2 m/s exhibited the opposite trend in CO and NO emissions, achieving the highest combustion efficiency without the formation of N-containing components. This injection velocity promotes better mixing of gases (air and NH3) and solids (bed materials and coal) without hindering coal combustion. Regarding greenhouse gases emissions, the part of CO2 emissions decreased by considering CO2 concentration and flue gas flow rate, while the part of N2O emissions significantly increased due to N-chemistry by > 5 times.

Charting the BRIC countries’ connection of political stability, economic growth, demographics, renewables and CO2 emissions

This research examines the impact of economic policy uncertainty, GDP, population and renewable energy consumption on CO2 emissions in BRIC countries from 1991 to 2023. The objective is to understand the long-term relationships among these variables and provide relevant insights. Using fully modified ordinary least squares and dynamic ordinary least squares econometric methods, the findings reveal that GDP and population growth significantly increase CO2 emissions, while renewable energy consumption reduces them. The panel autoregressive distributed lag results highlight the need for policies promoting renewable energy and managing population growth to mitigate environmental impacts. Notably, economic policy uncertainty also contributes to higher emissions, underscoring the importance of stable economic policies.

Transport-Related Emissions and Transition Strategies for Sustainability—A Case Study of the Fast Fashion Industry

The fast fashion industry significantly impacts the environment at every stage of a product’s life cycle. The transport of products to wholesalers and stores, as one of the stages of the product life cycle, is often overlooked during the analysis of their carbon footprint. Therefore, research is needed on the impact of fast fashion on the environment through its logistics and transport, especially in relation to air emissions. This article attempts to determine how extensively fast fashion companies disclose the impact of their transport operations on their overall corporate carbon footprint, determine the proportion of total emissions attributed to transport, and evaluate the effectiveness of companies’ efforts to mitigate their transport-related environmental impact. This research used a case study method on selected brands (H&M Group, Inditex, Shein), using secondary data available in non-financial reports for 2023. As a result of the analysis of their non-financial reports on transport emissions, several key findings have been presented. Companies predominantly rely on external frameworks and standards, particularly the Global Reporting Initiative. However, the level of detail of the data presented varies. The priority for the surveyed companies is to reduce emissions from significant sources, such as production processes. The data disclosed in the reports (scope 1, 2, 3) must be clearly formulated and can be used to calculate the level of their CO2 emission reduction or increase. Companies should improve their environmental reporting by including indicators of their transport-related emissions. This approach provides a comprehensive view of their environmental impact, highlighting absolute values and efficiency metrics.

Unveiling spatial variations in atmospheric CO2 sources: a case study of metropolitan area of Naples, Italy

In the lower atmosphere, CO2 emissions impact human health and ecosystems, making data at this level essential for addressing carbon-cycle and public-health questions. The atmospheric concentration of CO2 is crucial in urban areas due to its connection with air quality, pollution, and climate change, becoming a pivotal parameter for environmental management and public safety. In volcanic zones, geogenic CO2 profoundly affects the environment, although hydrocarbon combustion is the primary driver of increased atmospheric CO2 and global warming. Distinguishing geogenic from anthropogenic emissions is challenging, especially through air CO2 concentration measurements alone. This study presents survey results on the stable isotope composition of carbon and oxygen in CO2 and airborne CO2 concentration in Naples’ urban area, including the Campi Flegrei caldera, a widespread hydrothermal/volcanic zone in the metropolitan area. Over the past 50 years, two major volcanic unrests (1969–72 and 1982–84) were monitored using seismic, deformation, and geochemical data. Since 2005, this area has experienced ongoing unrest, involving the pressurization of the underlying hydrothermal system as a causal factor of the current uplift in the Pozzuoli area and the increased CO2 emissions in the atmosphere. To better understand CO2 emission dynamics and to quantify its volcanic origin a mobile laboratory was used. Results show that CO2 levels in Naples’ urban area exceed background atmospheric levels, indicating an anthropogenic origin from fossil fuel combustion. Conversely, in Pozzuoli's urban area, the stable isotope composition reveals a volcanic origin of the airborne CO2. This study emphasizes the importance of monitoring stable isotopes of atmospheric CO2, especially in volcanic areas, contributing valuable insights for environmental and public health management.

Fertilization-induced greenhouse gas emissions partially offset carbon sequestration during afforestation

Newly-planted forests require careful management to ensure the successful establishment of young trees; this can include herbicide application, irrigation, fertilization, or a combination of these treatments. The global rise in nitrogen (N) fertilizer application in managed forest plantations is driven by policies aiming at rapid tree growth and carbon sequestration as a strategy to tackle climate change. However, the impact of N-fertilizer on production and consumption of greenhouse gases (GHG), such as carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) is poorly understood, particularly when combined with irrigation. As a result, assessing forest GHG balance is key to defining effective climate mitigation strategies through afforestation projects.This study assessed the response of GHG fluxes to irrigation and fertilization on recently afforested lowland arable land in central England, across loamy and sandy loam soils. The application of 180 kg ha−1 of N via an irrigation system, aimed at enhancing wood production and C sequestration, resulted in an increase of CO2 and N2O emissions for both soil types. Particularly, the N2O emission factors (EF; kg N2O/kg N applied) for loamy and sandy loamy soils were 3.9% and 2.1%, respectively, higher than the IPCC default estimate of 1% for agricultural and forest land. Furthermore, both sandy loam and loamy soils showed a distinct transition from being CH4 sinks to sources. Thus, the combined application of irrigation and N-fertilizer had a significant impact on the total Global Warming Potential (GWP), which increased by 34% and 32% for sandy loam and loamy soil, respectively, when compared to their controls. Despite a significant increase in tree growth under fertilized conditions, the offset potential was only partial, highlighting the net contribution to GHG emissions. The outcomes of this study emphasise the potential for significant “carbon-equivalent-debt” from afforestation supported in its early years by irrigation and fertilization.

Evaluating Environmental Sustainability: The Role of Agriculture and Renewable Energy in South Korea

This study investigates the impacts of agriculture and renewable energy consumption on CO2 emissions in South Korea from 1980 to 2023, highlighting both challenges and opportunities for environmental sustainability. Utilizing bootstrap ARDL, FMOLS, and CCR methodologies, the analysis reveals that traditional agricultural practices significantly increase CO2 emissions, underscoring the urgent need for sustainable agricultural reforms. Conversely, renewable energy consumption effectively reduces CO2 emissions, thereby supporting the nation’s transition towards sustainable energy sources. Additionally, control variables such as industrial activity, urbanization, energy prices, and government environmental policies exhibit significant effects on CO2 emissions. Specifically, industrial activity and urbanization contribute to increased emissions, whereas higher energy prices and stringent environmental policies are associated with reduced emissions. These findings highlight the necessity for targeted agricultural and energy sector reforms to achieve a balance between economic growth and environmental preservation. Robustness tests confirm the stability of these relationships, providing a reliable foundation for policymakers to develop effective strategies for a sustainable future in South Korea.

Financial inclusion and environmental pollution in sub-Saharan Africa: moderating effects of economic growth and renewable energy

A thriving literature exists about the role of financial inclusion in socio-economic development. Nevertheless, the environmental effects of financial inclusion are largely unknown in the literature, especially in sub-Saharan African countries. Therefore, this study explores the association between financial inclusion and CO2 emissions utilizing data from 23 sub-Saharan Africa for the period 2004–2019. Based on different estimation methods such as dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), canonical correlation regression (CCR), and an instrumental variable generalized-method of moment (IV-GMM), the results show that financial inclusion is responsible for a substantial increase in CO2 emissions. In addition, financial inclusion moderates economic growth, resulting in higher CO2 emissions. Alternatively, financial inclusion moderates renewable energy use to lower CO2 emissions. The outcomes also verify the presence of the Environmental Kuznets Curve hypothesis (EKC). This study proposes uniting financial inclusion and environmental policies as a strategy for reducing CO2 emissions in sub-Saharan Africa.

Charting the path to sustainable prosperity: Harnessing innovation, renewable energy, and institutional excellence for a greener tomorrow

Climate change and global warming have led to significant economic challenges in the recent past. Currently, the economic growth strategy prevailing in the region is ineffective, which adversely affects the environment of the South Asian region through the unprecedented increase in CO2 emissions. The present study focuses on investigating the impact of technological advancements, renewable energy resources, and the strength of institutional quality on carbon emissions. Furthermore, the study focused on challenges faced in promoting renewable energy as well as governmental policies to encourage the adoption and promotion of renewable energy. We have targeted South Asian economies (Pakistan, India, Nepal, Bangladesh, and Sri Lanka) and employed a quantitative research design using data from 1990 to 2022 and employing a Random and fixed effect model. We found that technological innovation and environmental quality play a significant role in sustainability in the South Asian region. We have also applied a sensitivity analysis which shows that data are reliable and stable. In order to ensure economic growth without causing environmental destruction policymakers must prioritize the implementation and development of renewable energy sources through state-level policies. Furthermore, this could entail responsible acts like reforestation a decrease in deforestation, and the promotion of sustainable and effective practices.

Cultivation of chlorella vulgaris using aquaculture wastewater: Assessing its viability as a promising resource for biodiesel production

This study investigates the viability of utilizing Chlorella vulgaris cultivated in aquaculture wastewater as a feedstock for biodiesel production. The research involved scaling up the algal culture from 10 ml to 10 liters in a photobioreactor, optimizing growth conditions, and analyzing the water parameters of the aquaculture wastewater medium. The results showed successful growth of the algal culture, with the highest growth rate achieved on day 15 in the 10-liter reactor. The harvested biomass was converted into biodiesel through direct transesterification, and the produced biodiesel was characterized using Fourier-transform infrared spectroscopy (FTIR) and fuel property tests. The FTIR analysis confirmed the presence of functional groups indicative of esterification, validating the successful conversion of the wet biomass into biodiesel. The fuel property tests revealed that the algal biodiesel exhibited marginally higher kinematic viscosity but a favourable flash point compared to established standards. Emission tests demonstrated an increase in CO2 and hydrocarbon emissions with higher engine loads, aligning with combustion principles. The findings highlight the potential of utilizing aquaculture wastewater as a sustainable medium for cultivating Chlorella vulgaris and producing biodiesel, contributing to the development of more resource-efficient and environmentally friendly biofuel production methods.

The Impact of Economic Growth, Energy and Electricity Consumption Usage on CO2 Emissions: A Case Study of Morocco

Given the uncontrolled increase in environmental pollution and degradation of environmental quality worldwide, the environmental impact of economic growth has become a major focus in recent decades the most important question is: How does economic growth affect environmental quality? This study addressed this issue, examining the nature of the long-run relationship between economic growth per capita and pollutant emissions in Morocco. For this reason, the ARDL (Autoregressive Distributed Lag) modeling approach was used from 1990 to 2020. This approach mainly includes time series analysis and cointegration. The relationship tested introduces four variables: carbon dioxide (CO2), energy consumption per capita, electricity consumption per capita and GDP per capita. The main results indicate a long-term relationship between economic growth, energy consumption and CO2 emissions, indicating that a 1% increase in electricity consumption increases CO2 emissions by 0.36%. On the other hand, a 1% increase in GDP per capita increases CO2 emissions by 0.76%, and a 1% increase in energy consumption increases emissions by 2.06%. Thus, all variables show a significant effect. In conclusion, the strategy that Morocco needs to follow to solve our problems is to prioritize investment in research, development and artificial intelligence, while providing adequate training in energy-related fields.