Perspective Of Low Carbon Economy Research Articles

Retracted: Synergy and Communication of IoT Industry Development Strategies in the Perspective of Low Carbon Economy

Retracted: Synergy and Communication of IoT Industry Development Strategies in the Perspective of Low Carbon Economy

Retracted: Evaluation of Sustainable Environment-Friendly Interior Decoration Design from the Perspective of Low-Carbon Economy

Retracted: Evaluation of Sustainable Environment-Friendly Interior Decoration Design from the Perspective of Low-Carbon Economy

Review on Chinese agricultural science and technology research from a low-carbon economy perspective: hotspots, evolution, and frontiers

Against the background of global climate change, agricultural science and technology play a vital role in achieving a low-carbon economy and sustainable development. Based on the research data of agricultural science and technology in Web of Science and China National Knowledge Infrastructure, adopting the bibliometric method, a knowledge graph was drawn using CiteSpace software; this paper analyzes the hotspot distribution, structural relationship and evolution process context while also comparing the difference between China and abroad from 1998 to 2023. The results indicate that existing research is mainly distributed in the following core modules, namely, agricultural science and technology, industrialization, modern agriculture, low-carbon agriculture, etc. The evolution of the research context features three stages: the traditional agricultural, current agricultural, and high-quality agricultural stages respectively. Research in China and abroad demonstrates both overlaps and differences in terms of knowledge structure, and such differences are related mainly to the concept of low-carbon agriculture, a variety of research perspectives, and the agricultural science and technology system. To expand the knowledge structure, deepening the research on, respectively, the evaluation and measurement of agrarian carbon footprint, micro-production entities, and strengthening international agricultural science and technology cooperation are innovative directions for future studies. This article systematically reviews agricultural scientific research from the perspective of a low-carbon economy, providing a reference point for the green and low-carbon transformation of agriculture in every country.

China's Energy Structure Problems and Optimization Suggestions from the Perspective of Low-carbon Economy

Energy consumption, technological level, and sustainable industrial system are crucial for developing a low-carbon economy. China's excessive reliance on coal has led to low energy utilization efficiency, which has become an important factor affecting the optimization of China's energy structure and further constraining the sustainable development of the economy. In this regard, this article attempts to explore the issues of China's energy structure from the perspective of a low-carbon economy, and proposes strategies for optimizing China's energy structure from the perspective of a low-carbon economy. In the context of developing a low-carbon economy, starting from China's specific national conditions, the government should play a guiding role, optimize China's energy structure step by step, and promote the development of new energy projects. Based on China's actual technological situation, technological upgrading and industrial structure transformation, we will focus on developing low-carbon related industries and strategic emerging industries. Only by continuously innovating and applying new energy can we achieve the transformation of energy application structure in the production and living fields, gradually shifting from high pollution and high emissions to low pollution and low emissions.

Decision-making model of sustainable ecological environment management based on enterprise environmental management under a low-carbon economy

With the development of industrialization, ecological and environmental problems have become increasingly prominent. In addition, the direct burning of crop straw and livestock manure also causes serious damage to the ecological environment. From the perspective of low-carbon economy, in order to promote the sustainable development of the ecological environment, this paper puts forward the idea of integrating the environmental management of enterprises, establishes the decision-making model of ecological environment management, and carries out related research. The experimental results show that the average error of cross-section water quality prediction is 2, the average error of pollutant discharge prediction is 2.1, and the highest ecological security degree is 1.28. The data show that the system dynamics method can effectively reduce the section water quality prediction error and pollutant discharge prediction error of the management decision-making model, and improve the accuracy of the model prediction. In the analysis experiment of the biomass energy potential of agricultural waste, livestock manure and straw waste accounted for 59.26% and 30.18% of the total, respectively. It can be seen that agricultural waste has a high content of convertible biomass energy, which can provide a large amount of renewable energy for human beings.

Construction of Evaluation Index System for Coordinated Development of Economy, Energy and Environment of Coal Enterprises Based on Low-carbon Economy

As a special industry, the impact of coal enterprises on the earth and environment is inevitable. On the basis of conforming to China's sustainable development strategy, coal enterprises must be consistent with the development of international coal market. Energy development, energy production, transportation and conversion are limited. Especially, fossil energy is a non-renewable resource which is consumed once. There is a distance between the speed of energy development and production and people's daily life and economic development demand for energy, and this distance tends to expand. Energy and environment are the two major factors restricting the development of human society and economy, and energy is the basis of world economic development. Human beings are facing severe challenges of energy shortage, resource depletion and environmental deterioration. How to solve the increasingly urgent contradiction between energy, environment and rapid economic growth is a social development problem faced by all mankind. Based on the perspective of low-carbon economy, this paper analyzes the problems related to the coordinated development mode of energy and environment of coal enterprises.

The Integrated Development of Culture and Tourism in Historical and Cultural Ancient Cities from The Perspective of Low-carbon Economy

The integration of culture and tourism has become an important development direction for many historical and cultural ancient cities. At the same time, developing a low-carbon economy has become a global trend. This article discusses the path of cultural and tourism integrated development in historical and cultural ancient cities from the perspective of a low-carbon economy based on four aspects: resource allocation, development model development, integration mode and level of integration. Research methods include a literature review and field survey, and a case study of the ancient city of Shaoxing on history and culture.

Research on design and optimization of green warehouse system based on case analysis

Climate warming is a common concern around the world. Achieving carbon reduction within the warehouse is a problem that needs to be addressed in the layout of the green warehouse. This paper builds a soft path model to study the impact of the improved systematic layout planning method on carbon reduction in warehouses from a low carbon economy perspective. This paper considers two main warehouse layout factors: logistic and nonlogistic factors. A dual-objective warehouse optimization model is designed by quantifying the relationship between logistic and nonlogistic factors, and the heuristic algorithm is used for simulation optimization. Finally, the functional warehouse area is comprehensively evaluated using fuzzy constraint theory. The results show that the established soft path solution optimizes and improves logistics activities such as internal warehouse layout, material handling strategy, and warehouse management by comparing with the traditional layout method. The efficiency of warehouse operation, warehouse space utilization, and energy are improved. The goal of reducing carbon footprints from the warehouse is thus achieved. It is demonstrated that the soft path solution can minimize warehouse carbon emissions and generate positive synergy in terms of environmental impact. This study enriches green warehouse layout design procedures and provides a facility optimization technique with the potential to minimize warehouse carbon emissions, which can help planners combine other green warehouse management tools to optimize operations and reduce carbon in daily practice.

Early warning of enterprise financial risk based on improved BP neural network model in low-carbon economy

The concept of low-carbon economic development has led to changes in the business environment and financial environment of enterprises, leading to increased financial risks faced by enterprises. How to help enterprises better warn, prevent and control financial risks from the perspective of low-carbon economy has become a hot issue worth studying. Based on this, this paper is based on the perspective of low carbon economy, on the basis of analyzing the financing risk, investment risk, capital operation risk and growth risk faced by enterprises under the requirements of low carbon economy development. A set of financial risk management framework with clear hierarchy and strict vertical logic has been constructed. Ten financial early-warning indicators are constructed from four aspects. The risk prediction model of the indicator system is established using the research method of BPNN (Back Propagation Neural Network). The model is trained and simulated through the MATLAB neural network toolbox. After 10 indicators passed Bartlett’s correlation test, the BPNN financial early warning model was programmed using MATLAB software. The accuracy rate was 84.3%. The neural network training results show that when the layer node is 8, the best correct recognition rate can be obtained. Incorporate “low carbon” into the financial risk early warning indicator system that meets the requirements of low carbon economic development in the design of enterprise financial risk early warning indicators. This paper is expected to provide reference and reference for low-carbon economy enterprises to deal with financial risks under the new situation.

Optimization of Financial Shared Service Center from the Perspective of Low Carbon Economy

Optimization of Financial Shared Service Center from the Perspective of Low Carbon Economy

Study on the Effect of Rural Low Carbon Logistics Industry Development on Rural Economic Growth

The development of rural low-carbon logistics industry has become the main factor affecting the rapid development of China’s rural economy. From the perspective of low carbon economy, based on the analysis of the development level of rural low carbon logistics, this paper uses the theory and method of spatial measurement to analyze the interactive effect of rural low carbon logistics development and rural economic construction in 31 provinces of China from 2002 to 2019, and then analyzes the mechanism of different factors on rural economic development. The results show that: first, China’s rural low-carbon logistics development provinces have an obvious geographical agglomeration trend. The main distribution characteristics of rural low-carbon logistics development in China’s provinces and regions are "high-high" clustering and "low-low" clustering. Second, there is a long-term and sustainable interaction between the development of China’s rural low-carbon logistics industry and rural economic growth. Third, the income of rural residents in the eastern, central and western regions has an important positive impact on the improvement of rural economic growth. In the eastern region, the growth of the financial industry has the largest pulling effect on rural economic growth. In the central region, the per capita income and education level of farmers have the greatest impact on rural economic growth. In the western region, the increase of income is the most important influence factor of low-carbon logistics on rural economic growth.

Optimization of Financial Shared Service Center from the Perspective of Low Carbon Economy

Optimization of Financial Shared Service Center from the Perspective of Low Carbon Economy

Evaluation of Sustainable Environment-Friendly Interior Decoration Design from the Perspective of Low-Carbon Economy

With the rapid development of economic and social productivity, the living standards of our people have been continuously improved. As human society enters industrialization and urbanization, in order to meet the increasing needs of life, people have higher and higher requirements for the environmental quality of their lives. People spend nearly 90% of their time indoors. Therefore, the environmental quality of indoor spaces has become an issue that cannot be ignored. The interior space environment of the building is closely related to everyone’s life. However, when people decorate their rooms luxuriously and warmly, the subsequent interior decoration sequelae are also seriously affecting people’s health. The pollution caused by indoor decoration is serious, whether it is the use of decoration materials or improper indoor design that will cause indoor air pollution. Based on building materials and interior design, this paper systematically analyzes the pollutants in the fully decorated interior space and proposes that from the perspective of low-carbon economy, interior space design should be based on the ecological environment, and the focus of the design is on the rational use of nature. Resources and decoration methods should start from the application of natural colors and natural materials and organically combine green materials and green decoration designs to create a more comfortable, healthy, safe, and environmentally friendly indoor space environment.

Analysis of China’s New Energy Industry Development from the Perspective of Low-Carbon Economy

At present, the world is experiencing a serious climate change problem, and the consumption of high-carbon energy sources such as coal and oil undoubtedly brings great harm to the environment. In this context, some European and American countries have promoted a low-carbon revolution with high energy, high efficiency and low carbon emissions, focusing on developing low-carbon technologies. This paper mainly discusses the new energy industry from the perspective of low-carbon economy in China, and believes that China should also make a deep thinking on low-carbon economy and makes improvements of the industrial energy of some enterprises. This paper hopes to offer some references for the development of small and medium enterprises.

Route optimization for cold chain logistics of front warehouses based on traffic congestion and carbon emission

Low-carbon economy is the new tendency of economy development, which is an emerging pathway toward sustainable development of cold chain logistics. This paper studies the cold chain logistics of front warehouses, and a time-depend green vehicle routing problem (TDGVRP) is proposed from the perspective of low-carbon economy. By pouring attention into the fixed cost, refrigeration cost, fuel consumption cost, carbon emission cost, the cost of violating the time window and damage cost, a cold chain logistics routing plan is determined for the vehicle from the distribution center to front warehouses. In the meantime, a new idea of calculating refrigeration cost is proposed. Besides, this paper also explores the effect of traffic congestion and carbon tax of the TDGVRP. A traffic congestion index is used to describe the degree of traffic congestion. Moreover, a hybrid simulated annealing and tempering algorithm (HSATA) is proposed to address this model. The computational results demonstrate that the deteriorating traffic condition would increase carbon emission, while the increased carbon tax would reduce carbon emission within a certain range. The proposed HSATA method enormously reduces the cost of enterprises, which supports the decision-making of cold chain logistics in green and sustainable development.

Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China

From the perspective of low-carbon economy (LCE), this paper explores the optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies (coal, petroleum, and natural gas) for 30 provinces in China from 2010 to 2019. A mixed integer data envelopment analysis model is proposed to identify the optimal structure adjustment and the potential emission reduction. Then, a new total-factor energy efficiency (TFEE) index based on energy structure adjustment is constructed to statically examine the utilization efficiencies of the three fossil energies. Finally, a novel calculation method of global Malmquist index is presented to dynamically analyze the energy productivity change. The results demonstrate that more than half of the provinces have the potential to reduce coal consumption, while for petroleum and natural gas, the optimal adjustment of different provinces is diverse. The CO2 emission reduction brought about by the energy structure adjustment accounts for about 11% of the emission, and the emission reduction potential of central and western regions is significantly larger than that of eastern region. Technological progress is the main driving of productivity improvement for both LCE and three fossil energies. However, significant differences can be found in the management level of different fossil energies among provinces.

Environmental Cost Accounting

With the strengthen of people’s ability to use and transform nature, on the one hand, people acquire more resources from nature and make life more comfortable, on the other hand, the amount of waste that people emit has also increased rapidly. Excessive excavation of resources and disposal of waste emissions led to the deterioration of the environment, affecting the country's sustainable development and the Earth's ecological balance. In this paper, from the perspective of low-carbon economy, to explore corporate environmental cost recognition, measurement, collection, distribution methods, expectations for the relevant enterprises, especially high-polluting, high-emission energy-based enterprises to learn from.

Synergy and Communication of IoT Industry Development Strategies in the Perspective of Low Carbon Economy

In this paper, from the perspective of a low-carbon economy, the development mode and influencing factors of the IoT industry are studied, and development strategies are proposed in a targeted manner. Through the analysis of relevant literature, the connotation of the concept of cooperation and dissemination of IoT industry development strategy under low-carbon economy is enriched, emphasizing its systemic, multisubjectivity, and low-carbon effect, and its mechanistic effect is analyzed and different types of models are analyzed and established. The analysis of the model of IoT industry development strategy cooperation and dissemination in low-carbon economy finds that there is industrial variability in the overall trend of continuous increase of IoT industry development strategy cooperation and dissemination in the low-carbon economy, and the reasonable industrial categories and their characteristics are pointed out through cluster analysis. Based on the viewpoint of the IoT industry and regional differentiation, the analysis establishes the path analysis model of enterprise, industry, and region. From the perspective of enterprises using game analysis method research shows that the development process of IoT industry under low-carbon economy first adopts the important benchmarking significance of enterprise technology innovation behavior and its effect on potential enterprises and then pays attention to the government financial and tax policies and market cultivation on the coincidence between different types of IoT enterprises. The research shows that there are fault paths, distorted paths, and pathway types in the development of the IoT industry under a low-carbon economy. Finally, based on the policy analysis, we summarize our shortcomings and the above-mentioned development path views and make suggestions for better policy formulation of IoT industry development in a low-carbon economy from enterprise-level, industry level, and regional level. The above perspectives, conclusions, and policy recommendations on the synergy and dissemination of development strategies will have important positive theoretical and practical guidance for promoting the development of the low-carbon economy and IoT industry.

Research on Hebei Province’s Iron and Steel Industry Transformation from the Perspective of Low-Carbon Economy

With the gradual rise of a low-carbon economy, the continuous expansion of Hebei’s steel industry and the extensive development of enterprises have brought about a series of serious environmental problems. In this context, the transformation of Hebei’s steel industry is imperative. This article takes the perspective of low-carbon economy as an entry point to study the development of the iron and steel industry in Hebei Province. Based on the theory of low-carbon economy, by drawing on the research results of predecessors and searching for relevant industry data, it restores the development of the iron and steel industry in Hebei Province. The author builds an econometric model to analyze the reasons for the high energy consumption, high pollution, high emission and low benefit development characteristics of Hebei iron and steel industry, finds out the problems that hinder Hebei iron and steel industry from low-carbon transformation, and puts forward scientific suggestions for the development of Hebei iron and steel industry.

International Competitiveness of Jilin Province Automobile Industry Based on Big Data and Low-Carbon Economy

With the rapid development of economic globalization at this stage, the ecological environment of the earth has become one of the hot issues of global concern. As the largest developing country in the world, our country faces the highest carbon emissions and increase in the automotive industry. From the perspective of the integration of big data and low-carbon economy, the international competitiveness of the automobile industry in Jilin Province has also been continuously improved. Based on the situation in Jilin Province, this paper constructs a comprehensive carbon emission research framework suitable for the low-carbon economic automobile industry in Jilin Province. Through this framework, the automobile industry of our country’s Jilin Province can be improved internationally from the perspective of low-carbon economy. This article first analyzes and elaborates the theory of low-carbon concept, and through the theoretical research foundation of low-carbon economy, studies the theoretical foundation of Jilin Province’s automobile industry’s transition to low-carbon economy from the perspective of big data. Secondly, it analyzes the status quo of Jilin Province. Through the use of the extended model of kaya identity and the LMDI logarithmic decomposition method, based on the carbon emissions data of the automobile industry in Jilin Province from 2015 to 2020, the quantitative analysis of energy intensity and economic growth. The impact of five factors, including population, automobile industry structure and energy structure, on carbon emissions in Jilin Province from the perspective of low-carbon economy, will be studied in depth. Finally, the peak value of Tai emission in Jilin Province is calculated, the IPAT model is constructed using Eviews software, and the prediction formula of carbon emission is obtained. The value of carbon emission in Jilin Province is simulated by Matlab software and compared with foreign countries. The experimental research results show that the use of big data analysis technology for technological development in the automotive industry to achieve low-carbon economic development has greatly promoted the competitiveness of Jilin Province’s automotive industry in the international industry.