Emission Reduction Effect Research Articles

Policy and Institutions for Environmental Sustainability and Green Growth: The Moderating Effect of Renewable Energy and CO2 Emissions

Reducing environmental degradation due to the waste of natural resources and increasing global warming have been the main sustainable development goals for preserving biodiversity and ensuring sustainable growth established by the United Nations since 2015. Elucidating these goals requires effective and efficient environmental policies, substantial financial resources, and technological innovation to ensure an energy transition and reduce fossil fuel divestment and polluting technologies. In this context, this paper aims to examine the impact of environmental sustainability policy and institutions on green economic growth. Using a CS-ARDL panel model for a sample of 69 low-income countries in Africa, Asia, Europe, and North America over the period 2005-2020, we find that the effect of environmental sustainability policy and institutions on green GDP per capita is positive and statistically significant. The intensity of this effect is moderated by increases in renewable energy consumption and decreases in CO2 emissions. Furthermore, the subsample analysis indicates that the relationships between environmental sustainability policy and institutions and green growth remain positive for the four continents. In the long run, the intensity of this effect is stronger in Europe and Asia than in America and Africa. Moreover, these impacts are more effective as renewable energy increases and CO2 emissions decrease. It seems to be more important in Europe and Asia than in America and Africa. Overall, low-income countries should pay particular attention to policy and institutional index for environmental sustainability to promote green growth, taking into account the moderating effect of renewable energy consumption and CO2 emissions reduction.

Can green finance reduce carbon emission? A theoretical analysis and empirical evidence from China.

As an important way for China to achieve its dual-carbon goal, green finance has become the foundation for promoting high-quality economic development in China. In order to clarify the mechanism of green finance on carbon emissions, this paper puts green finance into the economic model and deduces the relationship between green finance and carbon emission reduction. This paper is based on the panel data of 30 provinces in China (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2008 to 2019, using the individual fixed effect model, dynamical model, mediator model, and SDM model to study the impact of green finance on carbon emissions and its impact path of upgrading of the industrial structure and the development of science and technology based on the measurement of the green finance development index of each province by the entropy method. The findings show that the development of green finance can reduce carbon emission significantly, which can be sustained until at least the third phase and generates spatial spillover effects; regional heterogeneity analysis finds that the development of green finance shows geographical discrepancies: compared with the eastern and western regions, the development of green finance in central region can reduce carbon emissions more significantly; not only can the development of green finance directly reduce carbon emission, but also through the upgrading of industrial structure and technological innovation. The research not only provides a new perspective and supplementary empirical evidence for understanding the carbon emission reduction effect of green finance, but also offers some useful references for green finance to contribute to carbon emission reduction.

Can digital financial inclusion promote the coupling coordination between pollution reduction and low-carbon development? Evidence from China

Pollution reduction and low-carbon development are two specific but intertwined goals of addressing climate change and sustainable development of the United Nations in 2030, and the effective use of digital financial inclusion is imperative for driving technical innovation, upgrading industrial structure, and addressing climate change. Therefore, this paper investigates the impact of digital financial inclusion on the coupling coordination between pollution reduction and low-carbon development using a panel dataset of 30 China's provinces from 2011 to 2020. The results show that the coupling coordination between pollution reduction and low-carbon development in China improves significantly during the sample period. The synergistic effect of different economic zones and provinces varies greatly in space and time. In addition, digital financial inclusion has a promoting effect on the coupling coordination of pollution and carbon emission reduction. A mechanism analysis also reveals that technological innovation, industrial structure and energy consumption are the core transmission channels through which digital financial inclusion influences the synergistic effect of pollution and carbon emission reduction. This suggests that the need of coordinated governance by policymakers is warranted, and digital financial inclusion is an important way to this coordinated governance.

Emission reduction effect of eco-friendly asphalt modified with isocyanate-nanoclay composites

The environmental and health issues associated with the generation of fumes during hot mix asphalt used in road construction necessitate the exploration of cleaner production methods. This study investigated the viability of utilizing isocyanate-nanoclay composites as modifiers for eco-friendly modified asphalt. The composite modified asphalt samples were prepared by adding isocyanate (isophorone diisocyanate, IPDI) and nanoclay (organic montmorillonite, OMMT or attapulgite, ATT) to the base asphalt at varying contents. A device for generating and collecting asphalt fumes was developed. The impact of modifier dosage on fume emission reduction was assessed quantitatively and qualitatively using ultraviolet–visible spectrophotometry and gas chromatography-mass spectrometry, yielding the optimal ratio of composite modifiers. The fume emission reduction mechanism of the modifiers was elucidated by analyzing changes in distribution, functional group composition and micromolecular spacing of asphalt using fluorescence microscopy, fourier-transform infrared reflection, and X-ray diffraction. Results revealed that the intercalation effect between nanoclay and asphalt, combined with chemical reactions between isocyanates and functional groups of nanoclay/asphalt components, effectively impeded the escape of fume molecules. Modified asphalt with 3% ATT+3% IPDI achieved an impressive fume emission reduction rate of 44.67% and enhanced basic performance of base asphalt. The findings contribute to the development of cleaner production methods for hot mix asphalt, thus paving the way for sustainable and safer construction practices in the future.

Digital carbon neutrality: evidence of carbon emission reduction based on digital inclusive finance.

As a powerful engine for economic reform and curbing carbon emissions, digital inclusive finance provides solid support for achieving the goal of digital carbon neutrality. This study reveals the positive effect of digital inclusive finance on carbon emission reduction and the deeper reasons behind it by digging deeper into the panel data of 213 cities in China. The study adopts advanced empirical analysis methods to rigorously test the association between digital inclusive finance and carbon emissions. The results show that there is a strong positive correlation between the booming development of digital inclusive finance and the significant decline in carbon emissions. This finding remains solid after several rounds of robustness tests, which fully proves the reliability of the research results. Further mechanism analysis reveals the multiple paths of digital financial inclusion on carbon emission reduction. First, it promotes the optimization and upgrading of industrial structure by optimizing the allocation of financial resources, thus reducing the proportion of high-carbon emission industries. Second, digital inclusive finance attracts more foreign capital inflows and introduces advanced low-carbon technologies and management experience, further promoting the development of low-carbon economy. In addition, the study also found that the differences between different cities in terms of geographic location and city size have a significant impact on the carbon emission reduction effect of digital inclusive finance. In particular, the carbon emission reduction effect of digital inclusive finance is particularly significant in western regions, central cities, and first-tier cities. In response to these findings, this paper proposes a series of targeted policy recommendations. First, the financial service system should be further optimized to increase the coverage and penetration of digital inclusive finance, especially in less developed regions and small- and medium-sized cities. Second, regional policy synergies should be strengthened to form a strong synergy to promote the development of a low-carbon economy. In addition, it should guide capital flows to low-carbon industries and encourage enterprises to increase green technology research and development and application, while actively promoting low-carbon consumption concepts and guiding consumers to form green consumption habits. Through the implementation of these measures, it is expected that the potential of digital inclusive finance in the development of a low-carbon economy will be further stimulated, making a greater contribution to the realization of the goals of carbon peaking and carbon neutrality.

The Carbon Emission Reduction Effects of the Quality and Quantity of R&D Activities: Evidence from Chinese Provinces

Research and Development (R&D) have significant impacts on carbon emissions, yet the specific data on R&D capital stock and carbon emissions have not been released by Chinese officials, hindering in-depth analysis. In light of this, this study calculates the R&D capital stock of Chinese provinces based on the SNA2008 framework and the BEA method, and estimates the carbon emissions from energy consumption and cement production using the carbon emission factor method. It then examines the carbon emission reduction effects of the quality and quantity of R&D activities at the provincial level. We find that the quality of R&D activities has a significant carbon emission reduction effect, which is stronger in regions with high levels of economic growth and marketization, and this effect strengthens over time. Moreover, mechanism analysis shows that both the quality and quantity of R&D activities reduce carbon emissions by promoting industrial structure upgrading. This paper expands the analytical approach and framework for the carbon reduction effects of R&D activities and offers significant policy and practical implications.

Comprehensive Evaluation of Decarbonization Technologies: A Case Study of Residential Buildings in Zhuzhou City, China

Efficient carbon emission reduction technologies in buildings are necessary for achieving the “Dual carbon” goal in China. In this study, a comprehensive evaluation model is proposed to assess the effect of carbon emission reduction based on the analytic hierarchy process–entropy weight–coefficient of variation model which takes newly built residential buildings in Zhuzhou City as the research object. The results show that the preferred materials for the roof and exterior walls of the building’s envelope structure were flame-retardant extruded polystyrene boards, and porous shale bricks were preferred as the main materials for the exterior walls. In addition, the rooftop solar photovoltaic system and energy-saving air conditioning technology were suitable in terms of being renewable and were better utilized. In the end, carbon emissions were significantly reduced when using the building decarbonization technologies. This study provides a new reference for choosing materials and technologies for the design of residential buildings in Hunan Province and even other regions with hot summers and cold winters.

Research on Factors Affecting Carbon Emission

There are many factors affecting carbon emissions, involving energy consumption, industrial production, transportation and other aspects. In-depth study of these factors will not only help us understand the growth mechanism of carbon emissions, but also provide scientific basis for formulating effective emission reduction strategies. On the road of pursuing sustainable development, reducing carbon emissions and protecting the earth has become our common responsibility. In this paper, x indicators related to regional carbon emissions, economy, population and energy consumption and corresponding data are established to establish an indicator system. Secondly, the data is prepossessed before the establishment of the grey correlation model, which mainly includes the principal component analysis of the data and the selection of four indicators with large index scores. Finally, the grey correlation model is established to analyze the changes among related indicators and draw the conclusion of current situation analysis.

Research On Integrated Charging Station System Based on Photovoltaic Storage and Charging Microgrid

In order to respond to the call of Carbon Peaking and Carbon Neutrality and promote the integrated development of electric vehicles and green energy, this paper puts forward a green charging technology for electric vehicles based on the principle of photovoltaic storage and charging microgrid, specifically introduces the structure of this system, development status and future trend of photovoltaic storage and charging integrated charging station, and analyzes the case of specific projects. This study found that the photovoltaic storage and charging integrated charging station can balance energy production and energy consumption, output more stable external energy, reduce the pressure of the grid effectively, and improve power supply security. At the same time, it can reduce energy costs and improve energy efficiency. In the future, photovoltaic storage and charging integrated station is expected to be applied to business parks, residential communities, and other places on a large scale to achieve energy-saving and emission reduction effects and achieve the transformation of electric vehicle power sources to low-carbon and zero-carbon energy sources.

Strategic Analysis of International Oil and Gas Companies’ Response to Global Carbon Emission Reduction Initiatives

This study investigates the role of oil and gas companies, particularly INDOPERTA, in mitigating global carbon emissions among rising energy demands and a shift toward coal and oil. This study highlights the urgency for strategic energy realignment and cleaner, sustainable sources, drawing from International Energy Agency (IEA) reports and various studies. The objective is to understand how companies such as INDOPERTA can integrate operations with effective carbon emission reduction strategies. A mixed-methods approach is employed, combining qualitative analysis of stakeholder perspectives with the AHP to prioritize initiatives based on identified criteria. Findings reveal compliance and regulation and leadership as critical areas needing focused resource allocation. The AHP analysis underscores the strategic importance of renewable energy investment and the pivotal role of leadership and innovation. It suggests a multifaceted approach involving regulatory adherence, international cooperation, and leadership development for effective carbon reduction. The study concludes that international oil and gas companies are at a crucial juncture. They must align their operations with global environmental goals and innovate to remain relevant in the climate agenda. It provides a roadmap for strategy realignment toward sustainability. However, this study has limitations, including its geographical focus, the dynamic nature of the industry, subjectivity in qualitative research and AHP, and reliance on secondary data. These findings highlight the need for ongoing research that adapts to industry changes and global carbon reduction efforts, ensuring that strategies remain relevant and effective.

Analysis of the impacts of carbon neutral policy portfolios on the economy, environment, and residents' welfare based on computable general equilibrium models

The efficacy of the synergistic interplay of various programs about energy efficiency and emission reduction in China's endeavor to achieve carbon peaking and carbon neutrality remains to be determined. This research constructed a computable general equilibrium (CGE) model to examine the economic, environmental, social, and energy consequences of various policy combinations. Using data from the 2018 input-output table of China, we create 21 industry sectors and examine the combined impacts of different carbon policies. Our findings indicate that the effects of carbon emission reduction are more favorable when multiple carbon-neutral policies are implemented together, compared to the impact of a single policy. Among the various combinations of policies examined, the combination of feed-in tariff subsidy policy (FIT), renewable energy quota policy (RPS), carbon trading, carbon tax, and carbon capture, utilization, and sequestration (CCUS) technology proves to be the most effective. The study predicts that by 2060, this combination of policies could lead to a reduction of 32.5% in carbon dioxide emissions. At the same time, it was discovered that a combination of lower-intensity renewable energy quotas, carbon trading, carbon taxes, and higher-intensity subsidies for carbon capture, utilization, and storage (CCUS) technologies, the synergy indicator θ exceeds 1, indicating a more stable economy; When the carbon tax policy is more robust, and the remaining three policies are more minor, carbon emissions fall the most and are the most ecologically beneficial. Imposing excessively high renewable energy quotas while maintaining the same level of technology and substitutability between fossil fuels and electric energy sources will result in economic instability afterward. Therefore, we suggest that to attain balanced growth of the environment, society, and economy, the government should increase the function of policy combinations and balance several objectives.

Identifying price bubbles in global carbon markets: Evidence from the SADF test, GSADF test and LPPLS method

Amid growing climate concerns, Emissions Trading Schemes (ETS) serve as key mechanisms for reducing greenhouse gas emissions through market forces. This study delves into the phenomenon of price bubbles within six major ETSs globally: the European Union Emissions Trading Scheme (EU ETS), the New Zealand Emissions Trading Scheme (NZ ETS), the California-Québec Emissions Trading Scheme (CQ ETS), the South Korea Emissions Trading Schemes (K-ETS), the China Emissions Trading Scheme (C-ETS), and the United Kingdom Emissions Trading Schemes (UK ETS). Employing the sup augmented Dickey-Fuller (SADF) test, generalized sup ADF (GSADF) test, and log-periodic power law singularity (LPPLS) model, our analysis aims to uncover the dynamics and implications of these bubbles. Our findings reveal varied patterns of price bubbles across the schemes, with the EU ETS showing the highest frequency and the NZ ETS exhibiting the longest durations. The period of 2021 and 2022 marked a significant increase in bubble occurrences across all ETSs, suggesting the influence of post-COVID-19 economic recovery and geopolitical tensions on market stability. These bubbles are attributed to factors including carbon market policies, macroeconomic conditions, energy price fluctuations, and market uncertainties. The study offers valuable insights for compliance firms, policymakers, and investors on navigating carbon market volatility. Understanding bubble dynamics can aid in formulating more effective emission reduction strategies, carbon pricing policies, and investment decisions. This research underscores the importance of integrating monetary policy considerations with environmental objectives within ETS frameworks, paving the way for future research on predictive bubble detection and the development of robust carbon market regulations.

Different types of environmental regulations and carbon intensity: empirical analysis of China’s garment industry

Different types of environmental regulations and carbon intensity: empirical analysis of China’s garment industry

Examining the emission reduction effect of carbon emission trading and carbon tax synergism and their impact mechanisms to reduce the carbon emission of company: based on 247 listed companies of China

ABSTRACT Using the panel data of Shanghai and Shenzhen A-share listed companies spanning from 2007 to 2021, we explore the impact of the synergism of carbon emission trading policy and carbon tax policy on the carbon emission level of enterprises through the difference-in-difference model, intermediary effect model, regulatory effect model. The research results show that: (1) Carbon emission trading and carbon tax both promote enterprises’ carbon emission reduction. (2) There are three paths for carbon emission trading and carbon tax policies to encourage enterprises’ carbon emission reduction actions synergistically: improving enterprises’ green technology innovation level, optimising energy structure, and accelerating industrial structure optimisation. (3) Mediated regulatory effect results show that the greater the company’s government support and R&D investment, the greater the synergism between carbon trading and carbon tax policies to drive green technology innovation and the better the carbon emission reduction effect of the company. (4) The synergism between carbon trading and carbon tax policies positively fosters public ownership companies’ carbon emissions reductions and heavily polluted industry companies.

Exploring the green and low-carbon development pathway for an energy-intensive industrial park in China

Energy-intensive industrial parks (IPs) with the distinct characteristics of high energy consumption, substantial greenhouse gas (GHG) emissions, and huge pollution, are facing enormous pressure to realize the synergistic mitigation of GHG and air pollutants. Exploring the green and low-carbon transformation of energy-intensive IPs is urgently required to achieve the dual strategies of “carbon peaking and carbon neutrality” and “Beautiful China”. Taking a typical energy-intensive industrial park (IP) in Henan Province—the Red Flag Cannel Industrial Park (RFCP) as the research object, an integrated evaluation framework including multi-objective optimization model alongside the synergistic mitigation potential of carbon and air pollutant emissions, was established in the energy-intensive IPs. Five scenarios were designed to quantify the GHG and air pollutant mitigation potential, while synergistic emission reduction control effects were evaluated under four measures of industrial structure adjustment, energy structure adjustment, energy efficiency improvement, and industrial symbiosis. The scenario analysis indicates that the integrated scenario (S4) shows the most significant emission reduction potential by 2030. Compared to the baseline scenario (S0), the GHG emission reduction is 11.66 Mt CO2eq (53% reduction rate), and the emission reduction rate of air pollutants ranges from 38% to 69% in S4. The findings indicate that industrial structure adjustment and energy structure adjustment are the primary measures for reducing GHG and air pollutants of IPs. Additionally, the evaluation of synergistic effect demonstrates that industrial structure adjustment shows the most significant synergistic effect on GHG and air pollutant by 2030. Finally, some policy recommendations regarding the transformation direction of energy-intensive IPs were proposed. This study will provide valuable references for the green and low-carbon development of energy-intensive IPs.

Driving forces of CO2 emissions from the transport, storage and postal sectors: A pathway to achieving carbon neutrality

In tandem with the urbanisation process, China's transport sector is currently experiencing rapid development and was ranked third out of all the industrial sectors in terms of generating CO2 emissions in 2020, which poses a huge challenge to achieving carbon neutrality. Primarily using the energy consumption data from China's transport, storage and postal sectors (TSPS) and input and output data between 2007 and 2020, this study first uses the Tapio decoupling model to evaluate the decoupling effect in the TSPS. Structural decomposition analysis is then applied to explore sectoral linkages and decompose the forces driving CO2 emissions. Additionally, we explore the main determinants of the energy structure effect and final demand in terms of energy consumption and industrial sector demand. Our results show that the target sector experienced a weak decoupling, which implies that the low-carbon transformation of this sector became increasingly apparent. Factor decomposition shows that improvements in energy intensity, energy structure and the production input and output structure have contributed significantly to reducing CO2 emissions, but these gains have been largely offset by final demand, resulting in a net reduction of 27.97 million tons from 2007 to 2020. The increased usage of low carbon forms of energy, such as natural gas, is the key driver behind the emissions reduction effect in terms of the energy structure. However, the higher final demand from the construction sector and the wholesale and retail trades are the main factors that have increased CO2 emissions. By adopting a sectoral and energy structure decomposition perspective, our study can be used to provide guidance to governments seeking to pursue carbon-reduction policies to achieve carbon peak and carbon neutrality, in the TSPS in particular.

Digitalization in prefabricated constructions and reducing carbon emission: empirical evidence from China.

Taking the implementation of digitalization in prefabricated constructions (DPC) as an exogenous shock, this study utilizes provincial panel data of China from 1997 to 2019, and uses the difference-in-differences model to identify the causal effect of DPC on carbon emissions in the construction industry (CECI). This study shows that DPC effectively reduces CECI with the results withstanding rigorous testing, including parallel trend tests, placebo tests, and a heterogeneous time-varying treatment test based on Bacon decomposition and the DIDm approach. The mechanism test confirms that DPC reduces CECI through two channels, which are improving existing building technologies and promoting better management capabilities. At the same time, further analyses show that the carbon emissions reduction effect of DPC is more pronounced in regions with a higher degree of marketization, financial development, human capital and environmental regulation. This study contributes to understanding the underlying mechanisms between DPC and CECI, providing new insights for the deeper integration of digital technologies and the construction industry. It offers new avenues for revitalizing the construction sector and facilitating achieving global carbon emissions reduction goals.

How to Achieve Comprehensive Carbon Emission Reduction in Ports? A Systematic Review

Under the mounting pressure to make changes to become more environmentally friendly and sustainable, port authorities have been exploring effective solutions to reduce CO2 emissions. In this regard, alternative fuels, innovative technology, and optimization strategies are key pathways for ports to transition toward a low-carbon pattern. In this review work, the current development status and characteristics of renewable and clean energy in ports were meticulously analyzed. The CO2 emission reduction effects and limitations of port microgrids, carbon capture, and other technological operations were thoroughly examined. Lastly, the emission reduction optimization strategies ports could adopt under different scenarios were evaluated. The research findings showed that (1) combining the characteristics of the port and quantifying the properties of different renewable energy sources and low-carbon fuels is extremely necessary to select suitable alternative energy sources for port development; (2) technological advancements, multi-party interests, and policy impacts were the primary factors influencing the development of emission reduction technology methods; and (3) the coordinated optimization of multiple objectives in cross-scenarios was the main direction for ports to achieve sustainable development. This study provides theoretical guidance to ports that are transitioning to a greener pattern, as well as pointing out future research directions and development spaces for researchers.

Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration

Analysis and validation of energy-conservation and emission-reduction effects of economic agglomeration

The impact of trans-provincial watershed eco-compensation policy on carbon emissions: Evidence from China

To manage transboundary pollution, China has promoted trans-provincial watershed eco-compensation (WEC), which is a market-oriented policy that adjusts ecological and economic interests between upstream and downstream areas and promotes regional green and low-carbon transformation. Hence, a reasonable evaluation of the carbon emission reduction effect of WEC is of great value for achieving green transformation. Using data from Chinese counties between 2003 and 2020, we consider 11 trans-provincial WEC agreements and evaluate their influence on carbon emissions. We find that trans-provincial WEC policies reduce water pollution emissions and significantly lower carbon emission levels. Mechanism tests show that the policy reduces carbon emissions by limiting polluting industrial development and stimulating low-carbon technological innovations. Moreover, this policy improves regional low-carbon economic development, and there are significant heterogeneity effects of the WEC in different regions and compensation modes. This research provides new insights for transitional countries to design green transformation policies.