Effects Of Carbon Emissions Research Articles

Unveiling the Overlooked Inhibitory Effects of Carbon Dioxide on Photochemical Nitrate Decomposition over Photoactive Mineral Dust.

Carbon emissions lead to an increased greenhouse gas concentration, which, in turn, affects air quality by altering the global climate. Despite its importance, the direct relationship between carbon emissions and the atmospheric reactive nitrogen cycle has been poorly understood. This study provides an in-depth investigation of the effects of CO2 on the photochemical transformation of nitrates on mineral dust. The results show that CO2 inhibits the photochemical transformation of nitrate under simulated solar irradiation. Specifically, the NOx production rate from nitrate photolysis with CO2 was significantly reduced to 1.17 × 10-10 mol·s-1, representing a decrease of 57.8%, compared to that without CO2 (2.77 × 10-10 mol·s-1). This inhibition effect can be primarily ascribed to electron competition and the formation of carbonate/bicarbonate intermediates. Quenching experiments and electron paramagnetic resonance spectroscopy unveiled the crucial role of photogenerated electrons in nitrate photolysis, showing its significant competition with photochemical CO2 conversion. Additionally, carbonate/bicarbonate intermediates formed during photochemical CO2 conversion enhance the nitrate stability on mineral dust surfaces, thus, reducing their decomposition rate. This study unveils an overlooked atmospheric process of greenhouse gas participating in the reactive nitrogen cycle, highlighting the unignorable synergistic effects of carbon emissions and air pollution in photochemical reactions.

Carbon Emission Effects of Land Use Structure Changes and Their Driving Factors: A Case Study of Urban Agglomeration in the Middle Reaches of the Yangtze River, China

Carbon Emission Effects of Land Use Structure Changes and Their Driving Factors: A Case Study of Urban Agglomeration in the Middle Reaches of the Yangtze River, China

Spatio-Temporal Distribution and Spatial Spillover Effects of Net Carbon Emissions: A Case Study of Shaanxi Province, China

Scientifically evaluating net carbon dioxide (CO2) emissions is the pivotal strategy for mitigating global climate change and fostering sustainable urban development. Shaanxi Province is situated in central China, and boasts robust energy resources in the north and a significant carbon-sink zone in the southern Qinling Mountains. Therefore, uncovering the spatial distributions of net CO2 emissions and identifying its influencing factors across cities in Shaanxi Province would furnish a crucial theoretical foundation for advancing low-carbon development strategies. In this research, the net CO2 emissions of cities in Shaanxi Province from 2005 to 2020 are calculated using the carbon-emission-factor calculation model, then the Geodetector is utilized to evaluate the single-factor explanatory power and two-factor interactions among the fourteen various influencing variables, and then the spatial econometric model is employed to analyze the spatial spillover effects of these key factors. The results show the following: (1) The net CO2 emissions present significant regional differences among the ten cities of Shaanxi Province, notably Xi’an City, Yulin City, and Weinan City, which have recorded remarkable contributions with the respective totals reaching 72.2593 million tons, 76.3031 million tons, and 58.1646 million tons. (2) Regarding temporal trend changes, the aggregate net CO2 emissions across whole province underwent a marked expansion from 2005 to 2019. Yulin City and Shangluo City exhibit remarkable surges, with respective average annual growth rates soaring at 7.38% and 7.39%. (3) From the perspective of influencing factors, GDP exhibits the most pronounced correlation spanning the entire province. Meanwhile, foreign investment emerges as a significant contributor specifically in Xi’an and Yulin City. Moreover, interaction detection reveals most factor combinations exhibit bi-enhancement, while a few exhibits intricate and non-linear enhancement. (4) The SDM regression and fixed-effect analysis reveal that city GDP had a positive spillover effect on neighboring cities’ net CO2 emission, while investment in scientific research and technology services, along with per capita construction land, exhibit notable negative spillovers, suggesting potential emission reduction benefits across cities.

Study on the spatial effects of fisheries exports and carbon emissions in the Asia Pacific Region

Study on the spatial effects of fisheries exports and carbon emissions in the Asia Pacific Region

Carbon Emission Accounting and LMDI Factor Analysis of Fossil Energy in Henan Province

The cultivation of fossil energy consumption in Henan Province between 2005 and 2022 is key to formulate carbon reduction strategies. This study uses the Logarithmic Mean Divisia Index (LMDI) method to decompose the factors of carbon emissions. The total carbon emissions from fossil energy in Henan Province amounted to 3.075 billion tons of CO2, showing an initial increase followed by a decrease, with fluctuations ranging from 125.59 million tons to 209.98 million tons. The LMDI analysis results show that the total effect of fossil energy carbon emissions fluctuated over time. From 2006 to 2011, the total effect was 84.39 million tons. From 2012 to 2019, it was -56.70 million tons. rom 2020 to 2022, it was 14.93 million tons. The greatest positive impact is the economic factor, accounting for 52.36% of the total effect. The greatest negative impact is the technological factor, accounting for 46.32%.Based on this, the study proposes the following carbon reduction strategies: adjusting the energy structure, fostering green technological innovation, and enhancing energy consumption management.

Exploring The Financial Impact of Environmental Sustainability: A Study of Taiwan's Semiconductor Sector

In the era of global low-carbon transformation, corporate management of carbon emissions, environmental performance disclosures, and water resource utilization have become critical focal points for capital markets. This study investigates the relationship between the stock returns of Taiwanese semiconductor companies and variables such as total carbon emissions, TESG scores, corporate water consumption, and corporate social responsibility (CSR) during 2016–2022. Specifically, the study evaluates the influence of these factors in the context of international sustainability trends and Taiwan’s mandatory carbon inventory policies. The findings reveal significant negative effects of total carbon emissions and corporate water consumption on stock returns, whereas TESG scores exhibit a positive correlation with stock returns. By integrating these elements, the study provides a comprehensive understanding of how environmental sustainability influences financial performance within the semiconductor sector. These insights underscore the importance of corporate environmental efforts in enhancing both sustainability and competitiveness.

Spatial and temporal evolution patterns and spatial spillover effects of carbon emissions in China in the context of digital economy.

Global warming caused by carbon emissions has become a significant concern for countries worldwide. This study thoroughly examines the spatiotemporal patterns and spatial spillover effects of carbon emissions in China. This research employs kernel density estimation, Moran's index, and the standard deviation ellipse model to analyse the spatiotemporal evolution of carbon emissions in China while utilizing the spatial Durbin model to explore the spatial spillover effects of the digital economy on carbon emissions. The subsequent findings are derived from the following: (1) China's carbon emissions are characterized by substantial spatial and temporal agglomeration. Low carbon emissions are in the eastern littoral regions, while high carbon emissions are concentrated in the inland areas, such as the northwest. The local Moran index suggests that high-high and low-low clustering patterns characterize China's carbon emissions. (2) The spatial trends and evolutionary characteristics of carbon emissions in China are readily apparent. During the sample period, the carbon emission level in the east and west was significantly higher than in the central region, and the gap between the areas was progressively narrowing. The results of the standard deviation ellipse indicate that China's carbon emissions are undergoing a substantial discrete phenomenon in their spatial distribution. (3) Digital economies reduce carbon emissions, have regional spillover effects, and reveal geographical variance across eastern, central, and western regions. This study offers quantitative evidence for integrated nationwide and regional emission reduction and carbon mitigation strategies, as well as for region-specific emission reduction programs.

Micro-level pollution reduction effect of carbon emissions trading policy: Based on A-share listed enterprises in pilot cities

Micro-level pollution reduction effect of carbon emissions trading policy: Based on A-share listed enterprises in pilot cities

Synergistic effects of pollution reduction and carbon mitigation from socioeconomic factors, land use and urban innovation: a case study of Wuhan metropolitan area

Achieving synergistic effects in pollution reduction and carbon mitigation is a major national strategy for China. Given the common origins and processes of air pollutants and greenhouse gases, this study constructs a theoretical framework for the study of the synergistic effects of air pollution and carbon emissions. Based on the coupling coordination degree model and the geographically and temporally weighted regression model, it identifies significant factors influencing the synergistic effects of air pollution and carbon emissions and their varying mechanisms of action. Results are as follows: 1) The spatial and temporal trends of PM2.5 pollution and carbon emissions in the Wuhan metropolitan area exhibit homogeneity. The coupling coordination degree between air pollution and carbon emissions shows an initial increase followed by a decrease over time and a spatial pattern of “local clustering of areas with medium–high-level coupling coordination”. 2) Twelve factors significantly impact the synergistic effects of air pollution and carbon emissions at the county level in the Wuhan metropolitan area: number of inversion days, precipitation, temperature, vegetation coverage, number of green patents, total population, regional GDP, per capita regional GDP, proportion of secondary industry, total nighttime light, energy consumption efficiency and built-up area. 3) The impact intensity of these factors on the synergistic effects of air pollution and carbon emissions varies not only over time but also across different regions within the same year. Regions with strong impact forces shift over time. This manuscript provides a solid foundation for theoretical research on and practical strategies for advancing differentiated pollution reduction and carbon mitigation coordination.

Feasibility Study and Economic Analysis for Hydroelectric-PV Hybrid System Performed with PVsyst Software

While energy demand is increasing day by day with the developing technology, the decrease in traditional energy sources and the negative effects of carbon emissions on the environment encourage countries to turn to sustainable and environmentally friendly renewable energy sources. Requirements such as the periodic change of renewable energy resources depending on weather conditions and the optimum use of existing resources have made it attractive to use different renewable energy resources together. In this paper, the feasibility study of a hybrid energy system for Akfen Renewable Energy's Gelinkaya Hydroelectric Power Plant (HPP) with an installed capacity of 6,866 MW, located in Aziziye district of Erzurum province. In the study, the economic analysis of the hybrid model resulting from the integration of Gelinkaya HPP with SPP (Solar Power Plant) using PVsyst software is discussed. The acceptance of Gelinkaya HPP by the Ministry of Energy was made on June 14, 2013 and the power plant started electricity generation activities. Since this date, the average annual electricity generation value of the power plant has been 10.062.411 MWh and the capacity factor has been realized as 16.73%. With the analysis of the HPP-SPP hybrid system, it was observed that the power plant was able to generate an average of 12.491 MWh more electricity per year by contributing to electricity generation, especially during irrigation periods, and the capacity factor increased to 37.50%.

Feed-in tariffs in scaling up solar and wind energy to shield nations from fossil fuel dependence

PurposeThe study attempts to understand how feed-in-tariffs (FITs), government expenditures and environmental quality can impact solar and wind energy consumption (SWC) of nations and can act as a shield against global energy tensions by reducing fossil fuel dependence.Design/methodology/approachOrganization for Economic Co-operation and Development (OECD) and non-OECD countries are compared based on the effectiveness of total governmental expenditures, mean FITs and carbon emissions in influencing SWC and fossil fuel dependence over the period 2000–2019. Fixed-effects panel data regression and bootstrapped panel quantile regression are used in estimations.FindingsFITs and government expenditures boosted SWC in OECD countries, while they were not very effective in non-OECD. Unlike OECD nations, total government expenditures were also not influential in reducing fossil fuel dependence in non-OECD countries. Countries with higher carbon emissions had lower SWC and higher fossil fuel dependence, showing lesser environmental concerns and energy crisis vulnerabilities.Research limitations/implicationsThere is a need for more renewable energy financing programs and governmental expenditures to promote SWC in non-OECD nations. The detrimental effect of carbon emissions on SWC and the positive effect on fossil fuel dependence show the lack of efforts in high carbon-emitting countries in adopting cleaner technologies.Originality/valueThe unique contribution of the study lies in the comparative analysis of the effectiveness of renewable energy financing for country groups and exploring the effects on renewables and fossil fuels simultaneously. An analysis of higher carbon emissions leading to an emission loop by increasing fossil fuel dependence also provides novelty to the study.

Carbon Footprint, Financial Structure, and Firm Valuation: An Empirical Investigation

This study aims to investigate the complex link between carbon emissions, firm value, and financial choice in regard to the GCC, a dynamic emerging economy. It also seeks to answer the question on whether the financial structure of a firm moderates the correlation between carbon emissions and firm value. We focus on analyzing data from non-financial firms registered on the GCC stock markets between 2010 and 2020. By applying the GLS technique, we assess the impact of carbon emissions on firm value and examine the manner in which a firm’s financial structure either enhances or hinders this relationship. The results demonstrate that there is a strong and adverse connection between carbon emissions and corporate value, as increased emissions translate into lower corporate value. The study then moves on to emphasize the critical role that capital financing plays in mitigating the detrimental effects of carbon emissions. This is accomplished by balancing both debt and equity in terms of their proper proportions (optimal capital structure). However, excessive borrowing could have adverse consequences in terms of carbon emissions on company value. Moreover, the GMM estimator is also applied to carry out a robustness check and the results are consistent with the main findings. This study highlights the significance of financial strategy in advancing sustainability and protecting business value. These findings are supported by both stakeholder and signaling theory, proving that companies can use their capital financing to signal their dedication to sustainability. These results could be used by GCC policymakers to create rules and regulations that encourage environmentally friendly corporate activities and efforts to lower emissions. The research expands the existing literature by examining the difficulties and opportunities faced by GCC firms when combining financial strategy with environmental objectives. It may be necessary to perform additional research in regard to various circumstances and for an extended period, because this study is restricted to non-financial sectors.

VALUE RELEVANCE OF CARBON EMISSION DISCLOSURE AND ENVIRONMENTAL PERFORMANCE FOR INVESTOR: EVIDENCE FROM MINING INDUSTRY IN INDONESIA

This study analyses the effect of carbon emission reporting and environmental performance on mining companies' market value which is listed on the IDX (Indonesian Stock Market). Based on sample criteria, 47 company samples were selected for 5 years (2018 - 2022), resulting in 235 data samples. This study employs the panel data regression method which is processed using Eviews software. Before data analysis, a model selection test was carried out, and the fixed effect model was chosen as the best fit. The data model’s feasibility was then tested using classical assumption tests. This investigation reveals a negative correlation between environmental performance and firm value, indicating that environmental performance does not enhance company value. However, voluntary carbon emissions report a positive influence on firm valuation. This research contributes to the literature on corporate environmental responsibilities and their impact on various stakeholders.JEL: G30, G32.

Exploring carbon emission effects of national-level industrial park policies on cities in China

Serving as the backbone of economic development, industrial parks have strong implications for reducing carbon emissions in China under the “carbon peak and carbon neutrality” background. This study explores the carbon emission reduction effects of three different types of national-level industrial parks on prefectural-level cities in China, including economic and technological development zones (ETDZs), eco-industrial demonstration parks (EIDPs), and low-carbon industrial parks (LCIPs). Data on 204 prefectural-level cities over the period of 1999 to 2019 were examined by using the difference-in-differences method and the mediating effect model. The study revealed that (1) the three types of industrial parks significantly reduced the intensity of city carbon emissions by 1,155, 395, and 450 tons per million CNY, respectively; (2) There existed lag effects of 7 years for the ETDZ and 3 years for the EIDP; (3) Industrial structure exhibited significant mediating effects, with ETDZ and EIDP reducing city carbon emission intensity by 58 and 56 tons per million CNY, respectively; (4) Strong heterogeneity in the effects was found, arising from the differences in geographical location, resources endowment, and amount of industrial parks; and (5) ETDZ and EIDP reduced the carbon emission intensity of neighboring cities by 174 and 144 tons per million CNY, respectively, while LCIP increased that by 686 tons per million CNY. The major contribution of this study is analyzing the city-level impacts of ETDZ, EIDP, and LCIP, three different types of national industrial park policies with different implementation periods, regional distributions, and policy focuses. This not only fills a gap in the analyses of ETDZ and LCIP policies in this area of research, but also draws analogies and contrasts between the effects of the three different policies. This study suggests that the stability and long-term nature of industrial park policies be maintained and further transformation and upgrading of industrial structure be attained. Additionally, intercity coordination could be introduced or enhanced.

Carbon Emission Trajectory and Eco-environment Effects in the Aksu River Basin Based on Agriculture-town-ecological Space Changes

Due to the expansion of artificial oases in these areas, scientific assessment of the carbon emission and eco-environment effects caused by changes in agriculture, towns, and ecological space is of great significance in grasping the carbon emission characteristics of various land use types, formulating land use emission reduction strategies, promoting the construction of ecological civilization, and optimizing the spatial pattern of the national territory. Based on land use data and socio-economic data, taking the inland river basin of the arid zone of the Xinjiang-Aksu River Basin as the research object, the carbon emission coefficient method was used to measure land-use carbon emissions, and spatial autocorrelation analysis and standard deviation ellipse were used to analyze the spatial evolution characteristics of carbon emissions from agriculture-town-ecological space in the Aksu River Basin. Based on the eco-environment quality index and ecological contribution rate, the impact of the agriculture-town-ecological space transformation on the eco-environment effects in the Aksu River Basin was explored. The results showed that： ① The scale of agricultural space and town space continued to rise, while the overall scale of ecological space was shrinking. The carbon source provided by agricultural space and town space showed a continuous upward trend, while the carbon sink provided by ecological space showed a trend of first increasing and then decreasing, with an overall downward trend. ② There was a positive spatial correlation between the net carbon emissions and the carbon emissions provided by the agriculture-town-ecological space. The center of gravity of carbon emissions in the basin generally moved to the southwest except for the ecological space, whereas the other space and net carbon emissions moved to the southeast. ③ The eco-environment quality index in the basin increased first and then decreased and generally showed a downward trend. From 1990 to 2000, the ecological environment quality improved overall； from 2000 to 2010, it deteriorated severely； and from 2010 to 2020, it deteriorated slowly.

Projecting short to medium-term effects of carbon emissions trading on Serbia's GDP

This paper presents an approach to assess the short to medium-term effects of the Emissions Trading System (ETS), an economic and climate policy instrument aimed at reducing greenhouse gas emissions, on GDP from the expenditure side. The analysis focuses on Serbia's electricity sector, which relies heavily on lignite-based production dominated by state-owned enterprises. The obtained projections suggest that in the short term, the introduction of an ETS may lead to slower GDP growth compared to official forecasts. However, by 2030, accelerated growth is observed, eventually converging with and even surpassing the projected growth in scenarios characterized by higher investments.

Synergistic abatement effects of Broadband China and environmental regulation: Firm-level evidence

Based on the new era context of digital economy and green development, this study uses Broadband China (BC) as a quasi-natural experiment, combining its strategic interaction with environmental regulation (ER), to empirically test the policy synergistic abatement effect of BC and ER. BC has resulted in an average of 6 % reduction in corporate carbon emissions, and the BC–ER policy interaction has encouraged firms to further reduce their emissions. This policy mix mainly exerts an abatement effect on firms by increasing green factors at the input–output stage and improving production efficiency. Furthermore, the digitalization effect of BC reduces corporate carbon emissions. Our empirical results are stronger for firms with high financial constraints, non-heavily polluting firms, non-high-technology firms, state-owned enterprises, and developed urban agglomerations. Furthermore, BC significantly suppresses the sectoral and spatial spillover effects of corporate carbon emissions, and external shocks to ER exacerbate this suppression effect. This study provides empirical evidence supporting the “tripartite win–win” of digital construction, green transformation, and energy conservation.

Can Green Digital Synergy Improve the Carbon Emission Performance in the Central and Western Regions?

Based on the data of 282 prefecture-level cities from 2006 to 2021, this paper deeply analyzes the comprehensive impact of low-carbon cities and the dual pilot policy of the “Broadband China” strategy on regional carbon emission effect by the method of gradual difference-in-differences. It is found that green digital policy synergy can significantly promote the quality and efficiency of carbon emissions without sacrificing economic development, and this policy synergy will affect the effect of city carbon emission reduction through structural upgrading and technological progress, but the structural upgrading effect of reducing carbon emission intensity has not yet appeared. Based on the background of “dual transformation and coordination”, this paper analyzes the synergistic effect of the dual pilot policies on carbon emissions and economic efficiency, which provides insights for cities to achieve a win-win situation of emission reduction targets and economic growt.

The carbon emission reduction benefits of the transformation of the intensive use of cultivated land in China

The transformation of the intensive use of cultivated land has an important impact on agricultural carbon emissions (ACE). However, the existing research on the impact mechanisms of the transformation of intensive use of cultivated land on carbon emissions is not clear. In view of this, this study constructs the impact mechanism of the transformation of intensive use of cultivated land on carbon emissions from the perspective of production factors substitution based on the theory of induced technological change and the theory of marginal returns. Using the Cobb-Douglas production function, this study identifies the transformation patterns of intensive use of cultivated land in China from 1980 to 2021. Furthermore, this study simulates the carbon emission reduction benefits brought about by the transformation of the intensive use of cultivated land by considering the cost of agricultural production. The results show that, first, from 1980 to 2021, the price of agricultural labor increased by 224.10%, while the price of other agricultural production factors significantly decreased. China's intensive use of cultivated land methods has undergone four stages: agricultural labor–intensive (ALI), yield–enhancing factor–intensive (YEFI), labor–saving factor–intensive (LSFI), and innovation factor–intensive (IFI). In 2021, most of China's provinces were in the YEFI or ALI stages. Second, between 1993 and 2021, the transformation of China's intensive use of cultivated land brought about an 87.48% increase in carbon emissions, while the spatial clustering effect of carbon emissions weakened. Furthermore, the results show that, the transition of the use of cultivated land from ALI to YEFI and YEFI to LSFI will reduce carbon emissions by 7.89%, and input factors costs will increase by 23.85%. If all regions, except for those in the IFI stage, transition to the LSFI model, it will result in a 17.56% reduction in carbon emissions, with a corresponding increase of 33.40% of the input factors input costs. This research enriches the theoretical foundation of literature about the transformation of the intensive use of cultivated land. It also expands the research perspective on agricultural carbon emissions. This research also helps provide references for the direction of the transformation of the intensive use of cultivated land in China and the achievement of the dual carbon goals.

Sustainable Energy Solutions in Sub-Saharan Africa: Integrating Indigenous Knowledge and Climate Resilience for Lower Carbon Emissions

Promoting sustainable energy solutions in sub-Saharan countries is crucial for addressing energy poverty, reducing carbon emissions, and fostering long-term environmental and economic sustainability. This study explored using indigenous knowledge and emerging technologies to reduce carbon footprints and GHG emissions in Africa's climate hotspots in sub-Saharan countries. The study revealed that operating institutions utilize various applications to ensure that energy management resources can mitigate the effects of carbon emissions. The study revealed that the most efficient use of natural resources for energy production requires collaboration among governments, private sectors, NGOs, and local communities. By adopting a holistic and inclusive approach, one can work toward a more sustainable and low-carbon energy future. This paper focuses on carbon footprint analysis and proposes solutions to address environmental issues in implementing sustainable energy solutions in sub-Saharan countries. A multifaceted approach involving effective strategies is needed to lower the carbon footprint. The contribution of this study is to improve energy consumption in communities in Africa by integrating climate resilience considerations into sustainable energy projects to ensure long-term viability. This will involve planning for changing climate conditions, such as extreme weather events, and designing infrastructure that can withstand and adapt to these challenges. It has been concluded that carbon footprint analysis is useful for determining the impacts of carbon particles in the world’s atmosphere. The role of energy management operations seeks to improve the assessment and analysis of carbon footprints by allowing atmospheric measurements of carbon.