Development Of Low-carbon Economy Research Articles

How does technological progress affect low carbon economic growth? Evidence from regional heterogeneity in China.

The rapid economic development leads to excessive consumption of fossil energy, resulting in a large number of carbon emissions, which makes the sustainable development of China's economy and society face great challenges. Under the background of global warming and environmental deterioration, developing low-carbon economy has become an inevitable choice for China to change its development model and improve its international competitiveness. Technological progress is the first driving force to promote economic growth. However, the influence degree and mechanism of technological progress on the development of low-carbon economy are still unclear. Based on this, the paper proposes the concept of low-carbon GDP, which is used to measure the low-carbon economic development of 30 Chinese provinces. Then, the panel fixed effect model is used to study the effect degree and mechanism of technological progress on low-carbon GDP and the moderating effect of other factors on the relationship between them. The results show that, first, economically developed provinces and regions have higher per capita low-carbon GDP and low-carbon GDP index, but the speed and quality of low-carbon economic development are not necessarily higher. Second, technological progress can promote the growth of low-carbon GDP and make greater contributions to resources-poor regions. Third, improving local education can make technological progress more effective in low-carbon economic development. China needs to upgrade technological development by developing new and high-tech technologies, promoting new urbanization and strengthening education in order to promote low-carbon economic development.

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.

Development of Low-Carbon Finance Helps the Construction of China's Low-Carbon Financial Legal System

The massive consumption of coal, oil and other resources has led to a significant increase in greenhouse gas emissions and global warming, seriously threatening the ecological environment. Achieving low-carbon development has become a common goal pursued by all countries. On this basis, China has put forward the goals of carbon peaking by 2030 and carbon neutrality by 2060. The best way to solve this problem is to promote low-carbon finance. Low energy consumption and low pollution have become the core of green economic development, which reasonably improves the status quo of serious environmental pollution and promotes the realisation of high-quality development of the social economy. Since the 19th National Congress, China's economic development has shifted from high-speed growth to the development stage of high-quality growth, and this shift not only requires sustained and stable economic growth, but also emphasises the protection of the ecological environment and sustainable development. The development of low-carbon economy not only helps to reduce greenhouse gas emissions and protect the ecological environment, but also promotes the optimisation and upgrading of the economic structure, achieving a win-win situation for the economy and the environment. However, the healthy development of low-carbon economy needs strong institutional guarantee. In particular, the improvement of the low carbon financial legal system.

Research on China’s Environmental Law and Low-carbon Emission Economy Trade Surplus under the Background of Carbon Neutrality

The significant presence of high-carbon industries in China’s export trade and the substantial trade surplus in recent years are key factors contributing to the increase in China’s carbon emissions. China’s current export trade model does not align with the requirements of low-carbon economic development. Considering China’s future emission reduction goals and responsibilities, we should aim to achieve a low-carbon trade transformation, establish a trading method that is compatible with developing a low-carbon economy, and actively promote the development of a low-carbon economy. Based on this premise, the paper utilizes the input-output model and low-carbon trade competitiveness indicators to empirically analyze China’s foreign trade implied carbon emissions and low-carbon trade competitiveness. It also investigates China’s foreign trade surplus.

Stochastic fast charging scheduling of battery electric buses with energy storage systems design

Under the background of urban green and low-carbon economic development, battery electric buses (BEBs) together with fast charging technologies are considered as an effective way in promoting carbon emissions reduction and improving energy efficiency. However, challenges arise during daily peak periods, at which BEB charging activities cause increased operation costs and substantial stress on the power grid. To fill the gaps, this work introduces energy storage systems (ESSs) into the BEB fast-charging scheduling problem. A stochastic programming model considering uncertain discharge efficiencies of ESSs is established, aiming to minimize total operation costs of fast charging stations. It is then transformed into a deterministic one with a manageable scenario sample size, using an integrated sample average approximation (SAA) and K-means approach, as well as an integrated SAA and K-means++ approach. We also present a heuristic algorithm and an improved genetic algorithm to solve the transformed model. Numerical studies based on a real-life urban transit network in Shanghai, China, are conducted to demonstrate the effectiveness of the proposed methods. Sensitivity analysis further reveals the impact of charging power on total operation cost.

Research on Low-Carbon Economic Reform of Construction Industry Based on Stacking-IGA Modeling

Low-carbon economy is an economic development model centered on reducing greenhouse gas emissions, which has become an inevitable trend in China. Low-carbon economic reform of the construction industry is an important part of China's realization of low-carbon economy, and the key lies in integrating and coordinating the relationship between low-carbon development and economic development of the construction industry. In order to achieve this goal, this paper aims to minimize the carbon emission and maximize the gross output value of the construction industry, and constructs the Stacking-IGA model, which includes data-driven, Stacking integrated model and improved genetic algorithm. First, based on the data-driven and Stacking integration model, the planning problem of low-carbon economic development target of the construction industry is defined. Secondly, the improved genetic algorithm is used to solve the problem. Finally, the Pareto frontier surface is used to provide a reference basis for the low-carbon economic reform of the construction industry. The research results show that the model circumvents the dependence of the traditional objective planning model on the assumption of the objective function and the assumption of the background conditions, and is suitable for uncertainty objective planning modeling and solving. The model shows good results in sample expansion, sample equalization, feature redundancy, model accuracy and stability, objective solving efficiency and solving quality. It is difficult to realize the reduction of carbon emission and the increase of total output value in China's construction industry at the same time, and to realize the reform of low-carbon economy in the construction industry, we should start from the production of building materials and promote the new construction technology at the same time.

Research on carbon emissions during the construction process of prefabricated buildings based on BIM and LCA

ABSTRACT The goal of double carbon reflects the new goals and requirements of China’s entry into a new development stage. In this regard, the construction industry, as a large producer of carbon emissions, should focus on emission reduction. In the whole life cycle of buildings, the carbon emission intensity in the physicochemical stage is the largest, so we should focus on the carbon emission in the physicochemical stage. Compared with the cast-in-situ concrete floor slab, the bidirectional prestressed precast hollow slab (BPPHS) has the characteristics of environment-friendly under the condition of meeting the building stress, and the manufacturing process of precast floor slab is more standardized, which can give full play to the performance of components. Based on BIM (Building Information Modeling) and LCA (Life Cycle Assessment) theory, and in the case of tram transportation, this paper studies the carbon emission of prefabricated hollow floor slab used in prefabricated buildings in the building stage. The research shows that the use of BPPHS reduces the carbon emission of 197,332.81 kg in the whole physicochemical stage, and the emission reduction rate is 46.52% compared with the cast-in-place slab. Compared with the ordinary prefabricated laminated plate, the emission reduction rate reaches 45.40%; The carbon emission sources in the materialization stage of prefabricated buildings are divided into production stage, transportation stage and construction stage. The carbon emission reduction in each stage accounts for 42.29%, 46.18% and 51.08%, respectively, in each stage of cast-in-situ floor slab. Compared with ordinary precast slab, the emission reduction rates of each stage are 34.67%, 53.60% and 47.84%, respectively. The emission reduction potential of BPPHS is very considerable. It can not only promote the development of prefabricated buildings but also have lower carbon than conventional precast slab. The study provides new ideas for reducing building carbon emissions, which will also provide reference for industry entrepreneurs and relevant governments to realize low-carbon economy and sustainable development.

Analysis of the Coupling and Coordinated Development of Green Investment and Low Carbon Economy

Firstly, based on the review of domestic and foreign scholars' research on green investment and low-carbon economy, this article explores the coupling mechanism between green investment and low-carbon economy. Secondly, based on panel data from 16 cities in the Yangtze River Delta Economic Zone from 2015 to 2021, a comprehensive evaluation index system for green investment and low-carbon economy is constructed using five indicators: "low-carbon output indicator, low-carbon consumption indicator, low-carbon resource indicator, low-carbon environment indicator, and development capacity indicator." Furthermore, the entropy method is used to determine the weights of various indicators for green investment and low-carbon economy, calculate the comprehensive evaluation index for green investment and low-carbon economy in 16 cities in the Yangtze River Delta Economic Zone, and make a theoretical analysis of the development level of green investment and low-carbon economy in each region. At the same time, a coupling coordination model is used to explore the coupling degree and coupling between green investment and low-carbon economy index in 16 cities in the Yangtze River Delta Economic Zone from 2015 to 2021. Co scheduling. Finally, from the perspectives of time and space, in order to promote the coordinated development of green investment and low-carbon economy in the Yangtze River Delta Economic Zone, targeted policy recommendations are proposed for the government, enterprises, and the general public, with the aim of making theoretical contributions to the coordinated development of green investment and low-carbon economy, as well as the construction of ecological civilization in China.

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.

An improved IPA approach driven by big data and its application to customer satisfaction research of energy-saving appliance

Against the backdrop of increasing global demand for reducing greenhouse gas emissions, promoting the use of energy-saving and environmentally friendly products has become a crucial aspect of low-carbon economic development. Customer satisfaction plays a vital role in the promotion of these products. To address the challenges of dealing with big data in the conventional customer satisfaction analysis tool, Importance Performance Analysis (IPA), a machine learning-based method is proposed to improve IPA. Firstly, the Latent Dirichlet Allocation (LDA) model is used to capture users’ opinions on different product topics. Then, the Support Vector Machine (SVM) and Random Forest (RF) algorithms are employed respectively to assess the satisfaction and importance of product attributes, enabling an objective measurement of customer satisfaction and adapting to the current trend of big data. The proposed method is applied to the analysis of water heater satisfaction on the JD platform, obtaining satisfaction levels for 10 topics. The research findings demonstrate that the improved IPA method based on SVM-RF effectively explores customer satisfaction and can provide some improvement strategies for platform managers and manufacturers.

Government auditing and urban energy efficiency in the context of the digital economy: Evidence from China's Auditing System reform

Government auditing plays a crucial role in enhancing energy efficiency and advancing green and low-carbon economic development. Given that audit oversight's quality and efficiency are influenced by the independence of auditing institutions, this study utilizes the vertical management reform of government auditing institutions as an exogenous shock, and empirically examines its impact on urban energy efficiency (UEE) using a Difference-in-Differences model (DID). We find that the audit reform improved UEE by 0.023 which is both economically and statistically significant. Concurrently, the audit reform and the development of the digital economy play substitutive roles in enhancing UEE. Finally, the results of the mediation analysis using the stepwise regression method indicate that the improvements in audit efficiency, green technology innovation, and energy structure optimization have mediated the promotion of UEE in the audit reform process, accounting for respective mediation effects of 4.35%, 4.35%, and 8.69%.

How enterprises' public welfare low-carbon behavior affects consumers’ green purchase behavior

The Chinese economy has undergone high-speed, high-quality growth, and the concept of low-carbon technology has gained popular support. Businesses and consumers must jointly endeavor to achieve low-carbon economic development. Moreover, it is important to investigate whether enterprises' low-carbon behavior is correlated with consumers' green consumption behavior. We built a theoretical model to depict the relationship between corporate public welfare low-carbon behavior, consumers' green purchase intention, and green purchase behavior. We then divided corporate public welfare low-carbon behavior into three dimensions. We proposed hypotheses, collected data through a questionnaire survey, and analyzed the data using statistical analysis software of SPSS 26.0 and AMOS 24.0. Public welfare low-carbon behavior was significantly correlated with consumers’ green purchase intention, and public welfare low-carbon participation and public welfare low-carbon motivation were significantly correlated with green purchase intention. Finally, we proposed suggestions from three perspectives: the public welfare low-carbon mechanism, public welfare low-carbon participation, and public welfare low-carbon motivation. The results provide theoretical support for research methods related to the low-carbon growth of enterprises and green consumption, as well as guidance and decision-making support for enterprises in carrying out cause marketing.

Empirical Analysis and Research of Low-Carbon Economy Development Trends in China, Japan and South Korea

Carbon emission intensity, being one of the key indicators of the level of economic development and environmental protection in a particular territory, indicates the quantity of carbon dioxide emitted per unit of GDP. Reducing carbon emission intensity is essential for nations like China (PRC), Japan, and South Korea (ROK) to meet low-carbon policy objectives, which is reflected in the strategic plans of these states. A number of variables (energy structure, industrial structure, technological level and manufacturing techniques) have an impact on the intensity of carbon emissions. Basing on the statistics of the PRC, Japan and the ROK for the period 2011–2020 (pre-epidemic period), the authors carry out a regression analysis of the correlation between the factors influencing the low-carbon economies of the three countries. Taking into account the results obtained, the authors propose a list of policies and measures to enhance the development of low-carbon economies in China, Japan and South Korea.

Research on the Coupled and Coordinated Development and Optimization Path of Low Carbon Economy and New Urbanization

Currently, China has entered a stage of high-quality development, and urbanization is an important issue in China's modernization process. Urbanization faces many challenges such as food security, resource and energy shortages, and environmental pollution. To solve this problem, we must take a new path of sustainable development towards urbanization. The new type of urbanization adheres to the principle of people-oriented, taking the path of green, circular, and low-carbon. It can unleash huge domestic demand potential and is an important driving force for the healthy and high-quality development of China's economy and society. A low-carbon economy emphasizes increasing energy output, reducing energy consumption and pollution, thereby reducing emissions and improving economic benefits. Low carbon economy is not only a new economic form and development model in the era of ecological civilization, but also the best economic form and development model for the construction of new urbanization.

Analysis of influencing factors of carbon emissions from China’s marine fishery energy consumption under different development scenarios

China’s rapid economic development has consumed a large amount of energy, causing serious environmental pollution problems and contributing to global warming. This paper calculates the carbon emissions of the fishery sector and uses Random Forest (RF) for the first time to analyze the influencing factors of future carbon emissions. The results of the study show that increasing carbon sinks dominate the reduction of carbon emissions in the fisheries sector. Carbon sinks will continue to dominate emission reductions in the fisheries sector if positive mitigation measures are taken. Continuing the current pattern of fisheries development, the fishery population has a significant impact on future carbon emissions. Per capita incomes under a crude economic model will inhibit carbon emission reductions. The research results can provide guidance for the development of fishery low carbon economy and the formulation of emission reduction policies.

Opportunities, Challenges and Countermeasures of Low-carbon Economy Development from the Perspective of Sustainable Development

Countries all over the world have reached a consensus on developing a low-carbon economy with low emissions, low pollution and low energy consumption. As the largest developing country in the world, China's economic development is deeply dependent on fossil energy, and its social and economic development is in the stage of industrialization and urbanization. Only by developing a low-carbon economy can we cope with climate warming and realize green and sustainable economic development. On the basis of discussing the concept, background and development trend of low-carbon economy, this paper puts forward the inevitability of developing low-carbon economy in China. In view of the opportunities and challenges faced by China in developing low-carbon economy, this paper puts forward the corresponding measures for developing low-carbon economy in China.

A multi-timescale optimization method for integrated energy systems with carbon capture and accounting

As the goal of “double carbon”, integrated energy systems aiming at the development of low-carbon economy are developing rapidly, and carbon capture and other emission reduction technologies are gradually gaining more extensive development space. For controlling carbon emissions and enhance the consumption of renewable energy. This work proposes to introduce carbon capture technology in the framework of integrated energy system and optimize the energy dispatching of integrated energy system in multiple time scales, and design a multi-time scale optimization model of integrated energy system with carbon capture. Based on the basic architecture of a low-carbon integrated energy system, this study analyzes the power characteristics of each unit of the integrated energy system, which consists of thermal power units, gas turbines, electric boilers, batteries, gas storage, heat storage, etc. By studying the energy conversion and storage processes of each unit, a power model of each unit of the integrated energy system is established. On this basis, the relationship between carbon emissions and unit output of thermal power units and gas turbines was studied, and a carbon emission model for the energy supply unit in the comprehensive energy system was established. At the same time, in order to solve the problem of carbon emission reduction under the day ahead scheduling plan of the integrated energy system, considering the emission reduction goals and system operation security factors, the study analyzed the economic model and carbon emission model of the integrated energy system, established the day ahead low-carbon scheduling model of the integrated energy system, and reasonably planned the output of each unit that can achieve the carbon emission reduction goals on the premise of meeting the balance of supply and demand. The innovation of the research method of this paper is that this paper establishes a multi time scale rolling optimization model under the emission reduction goal of the integrated energy system. Based on the day ahead scheduling scheme obtained in the day ahead low-carbon scheduling phase, the day ahead plan is first revised through 4 h rolling scheduling in the day; Then, with the goal of minimizing the adjustment amount, fine tune the unit output within 15 minutes to provide a daily output plan for subsequent low-carbon emission reduction targets. The outcomes indicate that in the practical application, the carbon emission of the optimized model in the peak hour 11:00 to 12:00 phase is 118 tons, which is 7 tons less than the 125 tons of the traditional model. In summary, it demonstrates that the studied multi-timescale optimization model of integrated energy system with carbon capture has good application. We have studied and analyzed the low-carbon implementation mechanism of coordinated cooperation in multiple time scales, and constructed a multi time scale rolling optimization model, laying a theoretical foundation for subsequent low-carbon scheduling research. This enables the system to formulate more accurate and reasonable scheduling plans, while improving the low-carbon performance and economic benefits of the system, providing reference for the low-carbon development of the power system.

The influence and forecast of three industries and energy structure on regional carbon emission

ABSTRACT Carbon emission reduction is an important part of regional low-carbon economic development. In this paper, gray correlation analysis, neural network model, Gaussian multi-mode fitting and other methods were used to analyze the relationship between total carbon emissions and regional economic development, industrial structure, and energy consumption in Henan Province. On this basis, the future development of carbon emissions is predicted. The calculation results showed that the correlation between the three industries and carbon emissions in Henan Province is more than .7, among which the secondary industry has the highest correlation (.77). In the secondary industry, the correlation coefficient between coal and carbon emissions is the highest .87, while the correlation coefficient between other energy sources is about .5. In the neural network prediction model, the correlation coefficient between the prediction curve and the actual total carbon emission curve is .989, and the prediction results have a good degree of fit. The carbon emission prediction curve was divided into two parts: a linear decline stage from 2018 to 2024, and a rapid decline stage after 2024.The results showed that more efforts should be made in industrial structure, energy consumption structure and environmental protection to achieve low-carbon development in Henan province.

The Relationship Between a Green, Low-carbon and Recycling Economy, Economic Policy and Industrial Structure Development

This article critically examines Charles Bonnet’s seminal contributions to experimental science, particularly through his influential work, ‘Research on the Use of Leaves.’ The primary objective is to delineate the functions and forms of natural experimentation as they were understood and practiced in the mid-18th century. During this period, scientists esteemed experimentation as the zenith of scientific proof, acutely cognizant of its multifaceted functional and typological aspects. Their methodology was characterized by a detailed narration of research methodologies, fostering a ‘rhetoric of transparency’ in scientific discourse. Nevertheless, the advent of new norms in scientific discourse during the 19th century, coupled with a paradigmatic philosophical shift in the 20th century, resulted in the marginalization of empirical practices of the Enlightenment era. Contemporary historians are now endeavoring to reconcile significant terminological discrepancies and to recontextualize the divergent methodologies among natural historians of that epoch. This involves a critical distinction between exploratory and demonstrative (or discriminant) forms of experimentation. Bonnet’s systematic preference for discriminant experimentation serves as a quintessential example of the logical approach in natural history. However, this perspective does not wholly represent the 18th-century ‘art of observation,’ which embraced a plethora of methodologies including taxonomy, anatomical dissection, chemical analysis, and physical measurements.

Does green finance policy help to improve carbon reduction welfare performance? Evidence from China

Evaluating whether the green finance policy helps to enhance welfare performance in the context of carbon reduction is significantly important to low-carbon economic development transformation, while few studies have explored its environmental effects from the perspective of welfare. This paper theoretically analyzes the impact and corresponding mechanism of the green finance policy on carbon reduction welfare performance(CWP) by introducing green financial policy into endogenous economic growth model with environmental constraints. Treating the establishment of National Green Finance Reform and Innovation Pilot Zone (GFPZ) as a quasi-natural experiment, the difference-in-differences(DID) model is applied to empirically investigate the impact of green finance policy on CWP based on the panel data of cities and listed companies of A-share market in China during 2005-2019. The results show that the GFPZ policy significantly improves the CWP of pilot cities, compared with that of non-pilot cities, especially in the areas with advanced external conditions in financial development and innovation. Regarding the mechanisms, there are both "high-carbon contraction" and "green expansion" in capital allocation, but there is a differentiated effect among industries, which shows that the "high-carbon contraction" affects the scale and cost of financing simultaneously, while the "green expansion" only affects the financing cost. A squeezing-out effect rather than a forcing effect is characterized by the innovation compensation effect in high-carbon industries, which reflects that green finance policy has not yet exceeded the "optimal ratio" and "minimum intensity". In addition, the green finance policy has a positive spillover effect on the surrounding 200-700 km radius, but agglomerate shadowing is also observed. Overall, these results provide valuable insights into effective ways for green finance to support regional low-carbon economic transformation.