Decrease CO2 Emissions Research Articles

Assessment of Possibilities of Using Local Renewable Resources in Road Infrastructure Facilities—A Case Study from Poland

The rising demand for water and energy is driving the overuse of natural resources and contributing to environmental degradation. To address these challenges, the focus has shifted to low- and zero-emission technologies that utilize alternative sources of water and energy. Although such systems are commonly applied in residential, commercial, and industrial buildings, facilities along transportation routes generally depend on grid connections. This study aimed to enhance operational independence and reduce environmental impacts by modernizing the Rest Area Stobierna (RAS) along Poland’s S19 expressway, part of the Via Carpatia road. A comprehensive technical, economic, and environmental analysis was conducted using HOMER Pro software (3.18.3 PRO Edition) and a simulation model based on YAS operating principles. The proposed Hybrid Renewable Energy System (HRES) incorporates photovoltaic panels, battery storage, and a rainwater harvesting system (RWHS). Two configurations of the HRES were evaluated, a prosumer-based setup and a hybrid-island mode. Optimization results showed that the hybrid-island configuration was most effective, achieving a 61.6% share of renewable energy in the annual balance, a 7.1-year return on investment, a EUR 0.77 million reduction in Net Present Cost (NPC), and a 75,002 kg decrease in CO2 emissions over the system’s 25-year lifecycle. This study highlights the potential of integrating renewable energy and water systems to improve sustainability, reduce operational costs, and enhance service quality in road infrastructure facilities, offering a replicable model for similar contexts.

Economic Analysis of Renewable Energy Generation from a Multi-Energy Installation in a Single-Family House

The promotion of Renewable Energy Sources RES installations in single-family houses is an element of the broadly understood decarbonisation strategy. Investments in photovoltaic installations and pellet boilers have a direct effect on decreasing CO2 emissions, thereby contributing to the improvement in air quality and mitigation of climate change, but the question remains of whether they are economically viable. High energy consumption by households results in a significant burden on their budgets. The purpose of this study was to conduct an economic analysis of the renewable electricity (photovoltaic microinstallation—PV) and heat (a pellet boiler) produced in three consecutive years by a single family situated in North-Eastern Poland. The economic analysis was based on the determination of the electricity and heat production costs for renewable energy sources and selected fossil fuels. Profitability metrics such as net present value, internal rate of return and discounted payback period were used for the assessment. For the comparison of electricity costs, the costs of electricity from the power grid were confronted with the costs of electricity generation from a PV microinstallation. For the comparison of heat production costs, the following scenarios were analysed: (i) eco-pea coal vs. pellet, (ii) natural gas vs. pellet and (iii) heating oil vs. pellet. Next, comparisons were made and analysed for multi-energy systems. When comparing the PV microinstallation investment with the variant of using electricity from the power grid, a positive NPV equal to EUR 5959 was obtained for the former, which proved it was profitable. Among the heat generation variants, the lowest total costs were related to eco-pea coal (EUR 29,527), followed by pellet (EUR 33,151) and then natural gas (EUR 39,802), while the highest costs of heat generation were attributed to burning heating oil (EUR 63,445), being nearly twice as high as the cost of burning pellets. This analysis of multi-energy systems showed that the RES system composed of a PV microinstallation for electricity production and a pellet-fired boiler for heat generation was most advantageous because it yielded the lowest total costs (EUR 41,265) among all the analysed variants. A properly selected PV microinstallation and an automatic pellet-fired boiler can make a single-family house economical and provide it with sufficient amounts of renewable electric and heat power throughout the year.

Carbon Capture Storage dalam Pengelolaan Barang Milik Negara

Climate change has gained prominence following the 2015 Paris Agreement, which aims to limit global temperature rise to below 2 degrees Celsius, with efforts to keep it under 1.5 degrees Celsius. This agreement stresses the importance of collective action to reduce greenhouse gas emissions and build resilience against climate impacts. In June 2023, the global average surface temperature reached a record high, with subsequent months also setting heat records. Mitigating global warming's adverse effects, such as rising temperatures and extreme weather changes, requires significant reductions in greenhouse gas emissions. Efforts in the energy sector have led to a decrease in CO2 emissions from 40.6 million tons in 2018 to 127.67 million tons in 2023. These efforts include enhancing energy efficiency, transitioning to renewable energy, and implementing carbon capture and storage (CCS) technologies In Indonesia, CCS regulations are outlined in Minister of Energy and Mineral Resources Regulation No. 2 of 2023. CCS involves the capture, transport, injection, and permanent storage of carbon emissions. The management of state-owned assets related to CCS falls under the Ministry of Finance Regulation No. 140/PMK.06/2020, which addresses the transfer, utilization, and valuation of upstream oil and gas assets. This paper discusses the role of state asset management in the implementation of CCS in Indonesia, examining current regulations, challenges, and future prospects.

Asymmetric Effect of Green Energy and Economic Growth on the Environmental Deterioration and the Environmental Kuznets Curve Validation in MENA Countries

ABSTRACTThis study aims at investigating the contextual factors surrounding the nexus between economic development and environmental degradation by utilising the Environmental Kuznets Curve (EKC) hypothesis and incorporating CO2 emissions indicator. The environmental quality, energy source, economic growth nexus evaluation is heavily dependent on the level of economic growth. The study examines impact of different levels of economic expansion following an Environmental Kuznets Curve (EKC) hypothesis across Middle East and North Africa (MENA). Additionally, the present study examines the asymmetrical relationship that exist between economic growth and green energy, and the environmental quality. The study employs panel data ranging from 1996 to 2020 in the context of MENA nations. Several econometric tests were employed, second generation unit root tests, CIPS and CADF, Westerlund cointegration test. This study extends prior studies by applying the Panel Non‐Linear Autoregressive Distributed Lag (PNARDL). The Westerlund test validates a long run association among the variable of the study. The EKC hypothesis is validated in the short run for the MENA countries. It also reveals that a positive and negative shocks to the green energy decreases CO2 emissions. The positive shock to GDP results in an increase in CO2 emissions. Moreover, the study revealed a negative and significant relationship between FDI and CO2 emission. A positive and significant relationship was found between trade openness and CO2 emissions. Our findings suggest that the MENA nations should switch to green energy sources to lessen the impact of non‐renewable energy consumption on the environment and promote sustainable development, since non‐renewable energy is believed to have the greatest impact on economic activity.

Investigation of mechanical properties and hydration of low-carbon magnesium and calcium-rich waste powder geopolymer paste

Magnesium and calcium-rich waste powder (MWP) has the potential to be a low-carbon geopolymer cementitious material. This study investigates the mechanical properties and hydration products of low-carbon magnesium and calcium-rich waste powder geopolymer paste (LMWP). The influences of alkali content, calcination temperature, mix proportions of raw materials and curing temperature on the compressive strength and hydration of LMWP were examined. The mechanical properties of LMWP were systematically evaluated by assessing setting time, fluidity, and compressive strength, while the pore structure was analyzed using mercury intrusion porosimetry (MIP). The hydration products and microstructures of LMWP were investigated by XRD, TG-DTG, and SEM-EDS. The results indicated that incorporating 1 % NaOH significantly enhanced the compressive strength of LMWP, whereas thermally activated MWP (800 ℃, 900 ℃) negatively affected compressive strength development. The addition of slag facilitated the reaction of MWP and improved the compressive strength of LMWP. When the slag incorporation reached 40 %, the specimen demonstrated optimal performance with a compressive strength of 27.8 MPa. The pore diameter was predominantly distributed around 10 nm, indicating well-structured porosity. Microstructural analysis revealed that the hydration products are dense calcium magnesium silicate gels (C-M-S-H), which significantly enhanced the compressive strength and optimized pore structure of LMWP. The efficiency of carbon emission reduction achieved by LMWP was evaluated. The findings indicate that, compared to traditional cement-based materials, LMWP reduces cement consumption by over 60 %, significantly decreasing CO2 emissions. This study innovatively utilizes MWP to prepare green and low-carbon geopolymer paste materials, with the aim of replacing cement applications in the construction industry, thereby reducing carbon emissions. It explores new avenues for the low-carbon and green development of the civil engineering sector and contributes to efforts in addressing the global climate crisis.

Improving On-farm Energy Use Efficiency by Optimizing Machinery Operations and Management: A Review

AbstractThe energy use and emissions from direct fossil fuel combustion on-farms to power farm machinery was critically reviewed. Approximately, 15% of agricultural production costs on-farm are energy-related. A potential solution to more sustainable energy use is a shift toward biofuels from renewable resources. The reduction of greenhouse gas emissions through the substitution of diesel oil with biodiesel depends on the feedstock, the inter-esterification process, the storage period, and ambient conditions. In modern tractors, increased fuel use efficiency (or reduced fuel consumption) has been achieved by power/load matching and the use of variable transmission. Engine management systems that are capable of continuously communicating with the engine and transmission to make appropriate adjustments based on inputs received from the tractor allow for quick and precise responses to changing conditions. As a result, maximum efficiency and productivity can be obtained from the tractor operating similarly to the traditional ‘gear-up and throttle-back’ methods of a proficient operator. The future for autonomous tractors is promising, though not new. Electric-powered tractors are near to commercialization or are already commercially available. Hybrid electric driven tractors present some advantages in terms of increased energy use efficiency and functionalities. Increased efficiency can lead to a reduction in diesel fuel consumption and hence, a concurrent decrease in CO2 emission. Where the local electricity supply has a low-carbon emission factor, this can also result in significant emission reductions. Small light-weight robotic equipment can potentially perform functions currently undertaken by tractor-drawn and other heavy equipment with high-fuel consumption, provided field operating capacity was not compromised. However, the size and weight limitations inherent in current harvesting and transport technology mean that soil compaction will still be a problem with robotic units. The robotic operation of medium-scale equipment within a precision-controlled traffic farming environment should offer more feasible and energy-efficient alternatives.

Analysis of Energy-Related-CO2-Emission Decoupling from Economic Expansion and CO2 Drivers: The Tianjin Experience in China

Cities are key areas for carbon control and reduction. The study of the decoupling between CO2 emissions and gross domestic product (GDP) and the drivers of CO2 emissions in cities facilitates the reduction of CO2 emissions to safeguard the development of the economy. This paper first calculates the CO2 emissions in Tianjin, China, from 2005 to 2022, then uses the Tapio decoupling index to quantify the decoupling status, and, finally, explores the energy-CO2-emission drivers through the Logarithmic Mean Divisia Index (LMDI) model. The findings indicate that (1) the decrease in CO2 emissions from industrial products and transport is the main reason for the decline. (2) During the period under investigation, the predominant condition observed was a state of weak decoupling. (3) Given the economic-output effect is the primary and substantial driver of energy CO2 emissions, it is essential to harmonize the interplay between economic-development approach and CO2 emissions to foster sustainable development in Tianjin. The industrial structure plays the most critical role in hindering the reduction of CO2 emissions; therefore, optimizing industrial structure can help achieve carbon reduction and control targets. These findings enrich the study of CO2 emission factors and can also interest urban policymakers.

Asymmetric Effects of Corruption on CO2 Emissions in Pakistan: The Role of Human Capital and Foreign Direct Investment

This study aims to examine the relationship between corruption, human capital, FDI, GDP and CO2 emissions in Pakistan from 1996 to 2022. This study utilized the NARDL approach to estimate the asymmetric association. The empirical findings revealed that corruption in positive shocks enhances CO2 emissions while, in negative shocks, it mitigates CO2 emissions. Human capital and FDI played beneficial roles in decreasing CO2 emissions. On the other hand, GDP exacerbated CO2.The results highlight the importance of stringent accountability measures to stop more environmental damage. The study recommends that to effectively tackle both corruption and environmental challenges, there is a crucial need to invest in human capital. Strengthening human capital can help enhance accountability, reduce corruption, and promote sustainable environmental practices.

Effects of diesel pilot-injection strategy on a methanol/diesel dual-direct injection engine

To verify the effectiveness of dual-direct injection technology in enhancing the performance of methanol/diesel dual-fuel engines and the positive impacts of multiple-injection strategy on the in-cylinder mixture formation and combustion process, an experiment was conducted on a modified methanol/diesel dual-direct engine test platform in this paper. The research aimed to explore the effects of the diesel pilot-injection strategy, especially from the two aspects of diesel pilot-injection timing and diesel pilot-injection duration, on the operating range, combustion characteristics, performance and emissions. Results indicate that the pilot-injection strategy reduces the maximum pressure and pressure rise rate of the engine, alleviating the rough combustion in the cylinder and broaden the operating range. As the diesel pilot-injection timing advances, the in-cylinder pressure curve during the combustion process shifts leftward as a whole, and the pressure rise rate curve gradually becomes an approximate single-peak shape. The ignition delay almost increases linearly and CA50 first decreases and then increases with the advance of pilot-injection timing. When the pilot-injection duration increases, the ignition delay shortens and CA50 advances. Additionally, the diesel pilot-injection strategy can optimize engine emissions. As the pilot-injection timing advances and the duration increases, the HC, CO and soot emissions decrease, while the NOx emission increases. Using the pilot-injection strategy, the highest indicated thermal efficiency of 42.94 % is obtained at the diesel ignition injection timing and duration of −28 °CA aTDC and 0.25 ms respectively, which is 7.54 % relatively higher than that under a single injection strategy. The research results show that the pilot-injection strategy better adjusts the distribution of high reactivity and low reactivity fuels in the cylinder, which is beneficial for improving the combustion and performance of the methanol/diesel dual-fuel engine.

Simulation and thermodynamic, economic, and environmental analyses of a novel multigeneration arrangement fueled by coke oven gas equipped with a desalination process

The present study introduces an innovative multigeneration system that utilizes coke oven gas as the fuel source to generate power, heating load, cooling load, and freshwater. The proposed process encompasses different components, including a high-pressure single-effect desalination unit, a dual organic Rankine cycle, an ammonia Rankine cycle, a Kalina power cycle, an absorption chiller, and a fuel burner. Aspen HYSYS software is utilized to analyze the system's performance from the perspectives of energy, exergy, environmental impact, and economics. The proposed system benefits from an efficient heat recovery process for mitigating the destructed exergy and energy loss, especially considering the integrated desalination unit. In addition, a parametric study is conducted based on the rate at which seawater flows into the system, the pressure of heptane in the organic Rankine cycle, the temperature of the coolant exiting the evaporator in the absorption chiller, and the ratio of air-to-fuel in the burner. First, the exergy analysis assists in selecting the efficient subsystem, exhibiting the ammonia Rankine cycle as the most efficient unit. Also, the exergy efficiency of the system is measured at 52.98 %. The environmental analysis indicates that the introduced method has a carbon footprint of 0.188 tons/MWh, showing the potential to significantly decrease CO2 emissions compared to similar plants fueled by coal and oil. Besides, the economic analysis identified the total unit cost of products at 15.11 $/GJ.

Systematic site selection solar-powered electric vehicle charging stations: A novel approach to sustainable transportation

This research proposes a new approach to increase the utilization of electric vehicles (EVs) by establishing solar-powered charging stations. Using ArcGIS 10 8.2 software, the optimal locations for the construction of these stations were identified and all technical, economic, environmental, and geological aspects were studied more carefully. Diverging from prior research, the initiative of this research leverages public spaces such as gas stations and eco-lodges to reduce operational costs and enhance station sustainability. This method is globally applicable and sets a precedent for CO2 emission reduction within the transportation sector. Comparative and evaluative analyses of the solar electricity charging infrastructures that support the EVs with regard to the technical and functional parameters are performed. The systematic and innovative concept that has been put forward enables us to identify the places with the highest prospects regarding the construction of Solar-Powered Charging Stations for EVs across the world. As for the case of using this technique in the selected region, it proved that 18 % of the area of Qeshm Island is suitable for constructing solar-based EV-charged stations, and the demand the island will supply by 2040. In the studied region, it was determined that the type of vehicles has a significantly greater impact on energy consumption than the distance traveled by the vehicles. By opting for fuel-efficient vehicles, it is possible to supply approximately 74.96 % of the required energy through solar energy, and these vehicles can even be used for public services such as taxis that cover long distances. The findings indicate that by 2040, the area could transition 11 % of its vehicles to EVs, potentially decreasing CO2 emission by more than 34 tons.

Computational Prediction of Co-firing with Various Biomass Waste Using Turbulent Non-Premixed Combustion

Co-firing in coal power plants has limitations because the existing combustion systems are designed to provide optimal performance only with coal. Therefore, investigating the combustion aspects of co-firing by mixing coal with biomass before applying it to existing coal power plants is necessary. To address this, a new numerical model was developed to predict the co-firing behavior of coal with various types of biomass waste, specifically focusing on temperature and pollutant behavior. This study developed a co-firing model in a Drop Tube Furnace (DTF) using a composition of 25% Wood Chips (WC), 25% Solid Recovered Fuel (SRF), 25% Empty Fruit Bunch Fibers (EFFR), and 25% Rice Husk (RH). A structured grid arrangement and the Probability Density Function (PDF) were utilized to depict the relationship between chemical combustion and turbulence. The distributions of temperature and mass fractions of pollutants along the furnace axis were predicted. The highest temperature was observed with 25% EFFR, attributed to its highest volatile matter content. The simulation predicted that 25% RH would be the lowest SO2 emitter. However, it also showed a slight increase in NO and CO levels due to the increased oxygen content when coal was mixed with biomass. The simulation with 25% EFFR predicted a decrease in CO2 emissions compared to other biomass types. The results of this parametric investigation could support the implementation of biomass co-firing technology in existing coal-fired power plants.

DOES THE IMPACT OF FINANCIAL DEVELOPMENT ON CARBON EMISSIONS DIFFER FROM DEVELOPED TO DEVELOPING COUNTRIES?

This study examined the relationship between financial development (FD) and carbon (CO2) emissions for twenty-one developed and twenty-two developing countries over the period of 2001-2020. It was seen that FD led to decreased CO2 emissions in approximately 55% of developed countries and approximately 28% of developing countries. However, in the developed and developing country panels, FD was found to cause more CO2 emissions in developed countries. It was observed that the positive effect in the panel results for developed countries came from Belgium, Denmark, South Korea and the United States, where FD led to a significant increase in CO2 emissions. These results cast doubt on the validity of the EKC hypothesis for these countries.

Can green buildings reduce carbon dioxide emissions?

Green buildings are a pivotal strategy for realizing the low-carbon evolution within the construction industry. However, the emission reduction effect of green buildings remains unexplored. This study utilizes prefecture-level data from green building projects in Jiangsu Province, China, from 2008 to 2019, to systematically analyze the nonlinear effects, heterogeneous impacts, and mechanisms of influence that green buildings have on carbon dioxide (CO2) emissions. The research findings are as follows: first, during the early stages of green building development, when the scale of green buildings is relatively small, green buildings lead to an increase in CO2 emissions. However, as the scale of green buildings expands, they can exhibit a significant effect on decreasing CO2 emissions. Second, green buildings have heterogeneous impacts on CO2 emissions: lower-rated green buildings (one or two-star) have an increasing impact on CO2 emissions, while the emission reduction effect of green buildings mainly comes from higher-rated green buildings (three-star). These high-rated green buildings substantially affect the advancement of low-carbon technologies, playing an essential role in achieving emission reduction. Third, the mechanisms through which green buildings influence CO2 emissions are identified: on the one hand, green buildings provide a technical effect that decreases CO2 emissions; on the other hand, by promoting the growth of the construction industry, green buildings would cause an increase in CO2 emissions. Lastly, this study proposes relevant policy implications centered around leveraging the emission reduction potential of green buildings.

Integrating Process Simulation and Life Cycle Assessment for Enhanced Process Efficiency and Reduced Environmental Impact in Ferromanganese Production

Process simulation was integrated with life cycle assessment to evaluate process efficiency and environmental impact of the production of manganese ferroalloys for various production modes and different ore mineralogies. Utilizing HSC Sim, the model was designed to evaluate the production process with or without a pretreatment step, where results for simulated cases using a four-zone ferromanganese furnace model were exported to openLCA for a complete life cycle assessment. Two main production scenarios were simulated: a closed ferromanganese furnace running on the duplex method and an open furnace running on the discard slag approach. The closed furnace scenario achieved a 17.5% reduction in energy consumption and a 16.2% decrease in direct CO2 emissions with CO-rich off-gas pretreatment. The open furnace scenario showed an 11.2% reduction in energy consumption with thermal solar energy pretreatment but no change in CO2 emissions.

Tailpipe emissions and fuel consumption of a heavy-duty diesel vehicle using palm oil biodiesel blended fuels

Biodiesel application, such as using waste cooking oil biodiesel in Shanghai, China, is a sustainable solution that addresses the challenges posed by escalating air pollution, energy security, and climate change. Future efforts may involve blending biodiesel from alternative sources like crude palm oil with diesel in China. This study tested a China V heavy-duty diesel vehicle equipped with a selective catalytic reduction (SCR) system using various palm oil biodiesel blended fuels (i.e., B0, B5, B10, and B20). The findings indicated that using biodiesel blends led to reductions in carbon monoxide (CO), hydrocarbon (HC), and particle number (PN) emissions compared to B0, while nitrogen oxide (NOX) emissions remained similar. Higher biodiesel content significantly reduced petroleum diesel consumption, but no statistically significant differences were found in total carbon dioxide (CO2) emissions and fuel consumption. Various factors such as vehicle speed, payload, and cold starts influence tailpipe emissions and fuel consumption. Specifically, high-speed phases notably reduced CO, HC, and PN emissions with the use of biodiesel blends. Lower payloads were linked to decreased CO2 emissions and fuel consumption but increased NOX emissions. Cold starts increased HC and NOX emissions, especially with higher biodiesel blending ratios. These results can provide valuable empirical insights into palm oil biodiesel emissions.

Design and Optimization of a Chemical Looping Hydrogen Production System Using Steam Reforming for Petrochemical Plants.

Industrial pollution is a significant environmental concern, and researchers are seeking solutions to minimize its impact. Chemical looping combustion is an efficient technique to decrease CO2 emissions. This study delves into its application within petrochemical plants for hydrogen production. In addition to its high efficiency in hydrogen production, this method yields pure CO2 and nitrogen. The design features four reactors utilizing iron and nickel metals as oxygen carriers. A model in Aspen Plus was developed to simulate this design and evaluate its performance. Aspen Plus uses RGIBBS submodel which works based on minimization of the Gibbs free energy. The research findings indicate that this design significantly boosted the hydrogen production rate from 3380 kmol/h in conventional steam reforming reactors and 4258 kmol/h in the three-reactor chemical looping combustion setup to 4408 kmol/h. Lowering the temperatures of the iron and nickel fuel reactors, as well as the iron steam reactor, reducing the airflow rate, and increasing the pressure of the iron steam reactor all led to increased hydrogen production. Conversely, changing the pressure of the nickel fuel reactor had minimal impact. The inlet steam flow rate exhibited a nonlinear effect, initially increasing and then decreasing the hydrogen production rate.

Optimizing energy hub systems: A comprehensive analysis of integration, efficiency, and sustainability

This study introduces a novel application of modified particle swarm optimization (PSO) for optimizing multi-energy hub systems (EHSs) to enhance efficiency and sustainability. The proposed method leverages PSO to optimize the scheduling of various energy resources, including gas turbines, biomass units, and renewable sources such as solar and wind power. Unlike traditional optimization approaches that rely on genetic algorithm (GA) and complex encoding schemes, the PSO algorithm simplifies the process using real-valued vectors and direct communication within the swarm, which significantly reduces implementation complexity. Key contributions of this work include the development of a tailored PSO algorithm that integrates seamlessly with the multi-objective optimization of EHSs. The algorithm simultaneously targets a reduction in operational costs and carbon emissions, offering a comprehensive solution for energy hub design. The proposed PSO approach has demonstrated a 10.35 % reduction in operating costs and an 85.03 % decrease in CO2 emissions compared to traditional baseline setups. In comparative analysis, the integration of renewable sources using the PSO algorithm resulted in a 77.91 % reduction in total CO2 emissions and an 85.61 % decrease in operating costs, showcasing its effectiveness in advancing both economic and environmental objectives. Furthermore, the study provides a detailed evaluation of various scenarios, revealing that the PSO-optimized EHS configuration achieves a significant reduction in reliance on non-renewable energy sources (RES). For instance, the incorporation of photovoltaics and wind turbines in the EHS setup led to a 46.39 % increase in energy sold to the grid and a 26.82 % decrease in electricity purchased from external sources. These quantitative results underscore the robustness and practical benefits of the proposed PSO method in designing and optimizing energy systems for improved sustainability and cost-effectiveness.

Dynamic interactions between GDP, renewable energy, innovation, and CO2 emissions in Finland: a fourier-augmented ARDL analysis

This study uses the novel Fourier-augmented ARDL (FARDL) to explore the impact of renewable energy (REN), the number of patent applications (PA) and GDP per capita on CO2 emissions in Finland during 1990–2022. The findings reveal that in the long run, GDP rises CO2 emissions, while REN and PA decrease CO2 emissions. The FARDL short-run results indicate that both REN and PA have a significant negative impact on CO2 emissions, suggesting that higher adoption of renewable energy and technological innovation contribute to emission reductions. However, GDP does not show a significant effect in the short run, which may indicate a decoupling of economic growth from environmental degradation in the short term. Furthermore, the study highlights the need for policies that promote technological innovation and increased investment in renewable energy to achieve sustainable carbon reduction in the long term.

REVEALING THE ENVIRONMENTAL COST OF GLOBALIZATION: AN EMPIRICAL ANALYSIS ON TRADE OPENNESS, FDI, AND CO2 EMISSIONS IN THE APEC COUNTRIES

Recently, the issue of how trade openness affects environmental degradation has gained importance. The fact that about 60% of the world's total CO2 emissions into the atmosphere are from APEC countries has made the economic activities of these countries a source of concern for the world. Although there have been many studies on the relationship between CO2 emissions and trade openness, there has yet to be a consensus. This study investigates how trade volume affects CO2 emissions in APEC countries, which account for a significant share of international trade volume and CO2 emissions. In addition, the empirical model of this research also investigates EKC. The panel data analysis method is used considering the data of APEC countries. According to the results, while trade openness increases CO2 emissions in APEC countries, FDI decreases CO2 emissions. Finally, EKC is valid in APEC countries from 1990 to 2016.