Development Of New Energy Industry Research Articles

Clean energy-based rural low carbon transformation considering the supply and demand of new energy under government participation: A three-participators game model

Since the 20th century, human society has developed rapidly, and with the continuous development of urbanization, serious environmental pollution problems have followed. Actively studying the development of new energy industry has become an important issue around the world. Rural energy is an important foundation of rural economic and development. Promoting green energy transformation and development in rural areas is an inherent requirement to meet people’s needs for a better life and an important part of building a modern energy system. This study constructs a tripartite evolutionary game model of the government, new energy enterprises and farmers, and analyzes the evolutionary path and stable strategy of the three participants in the process of energy industry transformation. The results show that (1) moderate or high level of government subsidies for farmers use of new energy can promote the development of new energy industry, while low level of subsidies is not conducive to the development of rural new energy industry. (2) When the government’s investment in new energy infrastructure construction is low, farmers will choose to use new energy passively. When the government’s investment in new energy infrastructure construction is moderate or high, farmers will choose to actively use new energy, and new energy enterprises will evolve to actively produce new energy under the circumstance of active use by farmers. (3) Under the current development situation of rural new energy industry, the smaller the proportion coefficient of pollution control costs borne by new energy enterprises formulated by the government, the more conducive the evolution of new energy enterprises to actively produce new energy. Perfect farmers use of new energy countermeasures for the benign development of new energy industry is of great significance. Therefore, from the perspective of evolutionary game, we should promote the transformation of environmental governance to public governance mode. A basic framework for a tripartite coordination mechanism among farmers, the government and enterprises will be established. At the same time, the establishment of specific systems and policies will guide the interests of farmers, the government and new energy enterprises, so as to truly realize the positive development of the new energy industry driven by the participation of three parties.

Empirical analysis of the role of new energy transition in promoting china’s economy

In order to accelerate the development of new energy industry and social economy, this paper presents an empirical analysis of the role of new energy transformation in promoting China’s economy. On the basis of analyzing the concept and types of new energy, the necessity of transformation and upgrading of new energy industry is discussed. The new energy consumption data from 2010 to 2020 and China’s GDP data are selected as the basic data, and the MS-VAR model is used as the base model for the empirical analysis. The model combines the Markov zone transition model and the autoregressive model, which is suitable for analyzing non-linear problems. The results of the empirical analysis show that the new energy transition is an important way to promote new energy consumption, and it plays a role in promoting the balanced development of China’s economic growth. Combining the results of the empirical analysis, this paper gives suggestions related to the new energy transition from the institutional, economic and technological perspectives.

Analysis of the Possibility of Slowing Down the Melting of Arctic Glaciers from the Perspective of the Global Energy Economy

In 2020, Antarctica's surface temperature exceeded 20 degrees Fahrenheit for the first time. This also demonstrates that global warming has become a very significant issue that will cause a number of problems for the planet's species and ecosystem. Many people think that global warming is an old-fashioned problem, but in fact, most people are far from correctly recognizing the terrible consequences caused by global warming. Therefore, this paper studies the problem of glacier melting and analyzes the impact of the development of new energy industry on delaying glacier melting. The results show that the goal of global rise of 1.5 C is difficult to achieve and requires multi-party cooperation. In the future, global temperature rise is inevitable, and more advanced technology can achieve the goal. It should consider that increasing research and development of new energy technologies to essentially replace petrochemical energy. In terms of economic activities, how to change the existing business model, improve efficiency and reduce carbon emissions is a matter of consideration.

The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China's new energy enterprises

Sustainable development comprises two key factors: new energy and digital finance. In the case of China, given the significant investment and financing problem that confronts its new energy development plans, it remains unclear whether digital finance plays a role in the matter. In this study, panel data of 157 Chinese listed new energy companies and the digital finance index constructed by Peking University Institute of Digital Finance are analyzed via the system of generalized moment method to determine the effects of digital finance and financial constraints on a firm's financial performance. The results show that digital finance can contribute to new energy firms' financial performance, while financial constraints have a robust negative effect on the same. Further, financial constraints weaken the role of digital finance. Moreover, a heterogeneous analysis reveals the following. First, the promotion effect of digital finance is larger among small firms and non-state-owned enterprises. Second, the magnitude of the inhibition effect of financial constraints is higher among larger firms. This study elucidates the role of digital finance in promoting the development of new energy industry and bears critical policy implications.

Recovery of lithium from salt lake brine with high Na/Li ratio using solvent extraction

Efficient separation of lithium from salt lake brine with high Na/Li ratio is of great importance for the development of new energy industry. Liquid-liquid extraction using β-diketone system was proved to be an effective approach to separate lithium from alkaline metal ions, while the separation effect of lithium to alkali earth ions needs further investigation. In this work we proposed an extraction process using HBTA/TRPO system to recovery lithium from salt lake brine with high Na/Li ratio. The conditions of saponification, extraction, eluting, stripping and regeneration process was optimized by equilibrium experiments. Through the process, lithium, calcium and magnesium were extracted to the organic phase and then stripped step by step to obtain lithium-rich solution, then the stability of the process and organic was tested by cycle experiments, the results indicated the proposed method was effective and stable. Theoretical study based on density functional theory was conducted to expound the extraction selectivity to different metal ions, and the energy change, electrostatic potential and Mulliken charge of the complexes was obtained, the calculated results suggested the stability of the complexes followed the sequence: Mg2+ > Ca2+ > Li+ > Na+ > K+, which is consistent with the experimental results. The present work may provide a novel way to efficiently recover lithium from salt lake brine with high Na/Li ratio.

Research on the evaluation of China's photovoltaic policy driving ability under the background of carbon neutrality

The realization of carbon neutral goal is inseparable from the development of new energy industry, and scientific and effective policy support can accelerate the progress of the goal. In this paper, the policy driven ability of China's photovoltaic industry in the background of carbon neutral is evaluated. Firstly, the evaluation system is established by the improved diamond model. Then, the policy evaluation standard is formulated according to the Interval Type-2 Fuzzy sets (IT2FS). Finally, the weight of each index is determined by using the fuzzy OWA operator weighting method (F-OWA). Then, the policy driving ability of China's photovoltaic industry is evaluated by fuzzy matter-element extension method (F-MEEM), and the effectiveness of the evaluation results is further verified by weight sensitivity analysis. According to the evaluation results, policy support plays an important role in the development of photovoltaic industry. This paper also gives policy suggestions for the development of China's photovoltaic industry under the background of carbon neutral from the macro, meso and micro perspectives.

Research on Stock Price Prediction Based on Markov-LSTM Neural Network -Take the New Energy Industry as an Example

With the increasingly close combination of the financial field and the real industry, as a new economic growth point, it is of great significance to study its price fluctuation prediction in the financial stock market. Based on this, we propose a neural network prediction method via Markov chain and LSTM neural network. Then we select three stocks as the research object, K-mean clustering algorithm is used to determine Markov chain’s relative states, K was obtained using the cross validation method. The empirical results show that the new method is better than LSTM neural network in the evaluation indexes of average relative error, a posteriori error, mean square error and small robability error of stock price prediction. This shows that under certain conditions, Markov chain-LSTM neural network can make more accurate prediction of stock price, and is more suitable for systems with high volatility and strong randomness. Finally, we discuss some promotion and improvement methods of Markov chain-LSTM neural network, and put forward relevant suggestions for the high-quality development of new energy industry from the perspective of finance.

Research on finance and tax management innovation of new energy industry under the “carbon peaking and carbon neutrality” goal

Carbon dioxide emissions from countries have led to an unstoppable rise in global temperatures. China put forward the goal of “Carbon peaking and Carbon neutrality” to achieve carbon peak by 2030 and carbon neutrality by 2060. Under the goal, the development of new energy industry is very important to the reconstruction of energy structure and the transformation and upgrading of economic industry. Fiscal subsidies and tax incentives, as two important tools for the government to regulate the macro economy, can help the new energy industry to break down development barriers. Using the multivariate regression model to 2010-2019, 174 companies listed on the new concept of energy sector of the test data, studies the internal relationship between the fiscal and taxation policies and business performance, and on the analysis of the clarity of the current in the process of new energy industry status quo and existing problems of the fiscal and taxation policy. The following conclusions are drawn: fiscal subsidies in the new energy industry are negatively correlated with enterprise performance, while tax incentives are positively correlated with enterprise performance. This shows that under the background of “Carbon peaking and Carbon neutrality” goal, in-depth research on the incentive effect of fiscal and tax policies implemented by the government on the new energy industry is conducive to realizing the reshaping of the energy structure and the transformation and upgrading of the economic industry.

Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China

Heavy rare earth (HRE) has become a necessary metal material in the field of high-tech and new energy. China is rich in rare earth, but years of mining resulted in over-exploitation of HRE. And HRE's resource advantage position has been weakened gradually. Therefore, with the increasing demand for HRE, it is of great significance to understand the flow of HRE in sectors in China. In this article, the research model combines the input-output model and complex network model. From the perspective of sector supply chain, the network structure of embodied HRE flow network is analyzed, and the key sectors are identified. Subsequently, the impact of sectors' network roles on the consumption of embodied HRE is quantified based on panel regression model. Furthermore, structural path analysis is used to identify the critical path of the embodied HRE consumption. The main results are as follow: firstly, policy implication and supply-side disruption can cause fluctuation in embodied HRE consumption. But due to the rapid development of new energy industry, demand-side driving effect will be more and more prominent. Secondly, each sector plays a different role in the trading of embodied HRE. For example, metal mining and smelting processing is an important supply and consume sector and the consumption of HRE is largely affected by the sectors' network roles. Finally, the critical path of embodied HRE consumption shows that the main supply path is non-ferrous metal ore mining→ non-ferrous metal smelting and processing→ related electric machinery and metalworking machinery manufacturing/cultural, athletic and arts products manufacturing. However, with the development of new energy, the key supply chain may change. Therefore, we should pay attention to the role of the above key sectors and guide HRE to flow to key sectors of high-end applications. It is important to continuously improve the technology innovation of high-end application fields of HRE, promote resource utilization, and ensure the safety of key supply chains.

Projection-based probabilistic linguistic multi-criteria decision-making method for new energy project selection

The development of new energy industry is a pressing issue due to the deterioration of the environment. The selection of new energy projects is a critical problem for decision makers. Incomplete and uncertain information appears in the process of new energy project selection. Compared with other linguistic expressions, probabilistic linguistic term set (PLTS) simultaneously reflects all possible linguistic terms and their corresponding weights, which conforms to the cognitive habits of people. Thus, a multi-criteria decision-making framework under PLTS environment is constructed for energy project selection. Firstly, a normalised projection model of PLTS, which considers the distance and the angle between two objects, is proposed to overcome the limitations of distance measurement. Secondly, a comprehensive weight-determination method combining the maximum deviation and expert scoring methods is developed to calculate the weight vector of the criteria. Furthermore, a projection-based VIKOR (Višekriterijumska optimizacija i kompromisno rešenje) method is established to select new energy projects, which can reflect the preferences of decision makers for group utility and individual regret. Finally, a numerical study on new energy project selection is performed to determine the validity and applicability of this method. Sensitive and comparative analyses are also conducted to reflect the rationality and feasibility of the method.

High specific surface crown ether modified chitosan nanofiber membrane by low-temperature phase separation for efficient selective adsorption of lithium

Recently, the rapid development of new energy industry has promoted a sharp increase in the demand for lithium (Li). The adsorption method has notably contributed to the recovery of lithium. However, the poor adsorption capacity and selectivity as well as the complicated preparation process of current adsorbents hinder the development of lithium adsorption. Herein, we adopted a simple and green low-temperature phase separation method to fabricate a chitosan (CS) nanofiber membrane. The specific surface area of the prepared membrane is as high as 111.55 m2 g−1. Meanwhile, for the sake of high selectivity for Li+, we chose 2-(Hydroxymethyl)-12-crown 4-Ether (2H12C4) with a unique cavity structure to graft onto the surface of CS to prepare crown ether (CE) modified chitosan nanofiber membranes (CS-CE). The results show that CS-CE achieved the maximum adsorption capacity of 297 mg g−1 from a high-concentration Li+ solution with 1000 mg L−1 at pH 7.0. In a mixed solution coexisting with other interfering metal ions, CS-CE still exhibited a strong affinity for Li+. In addition, after 5 cycle experiments, the maximum adsorption capacity of CS-CE for Li+ decreased by only 8.8%, which proves the excellent reusability of CS-CE. Overall results suggested that CS-CE can be a promising candidate for the recovery of Li+.

Research on the relationship between China’s carbon emission, economic growth and the development of new energy industry

In view of the current domestic new economic form, under the trend of sustainable development, new energy industry has become a rising star. The development of new energy can improve the environment destroyed by the development of fossil energy to a certain extent. It is the primary task of environmental protection and energy development to study the specific relationship between China’s current carbon emissions, economic growth and the development of new energy industry. Based on STR model, we can empirically study the impact of carbon emissions on the development of new energy industry, analyze the nonlinear relationship, and propose relevant strategies to promote the development of new energy industry and pay attention to the coordinated development of energy consumption and environmental protection.

Research on the development of new energy industry based on A company

China’s energy development in the new era not only provides strong support for China’s sustained and healthy economic and social development, but also makes positive contributions to maintaining world energy security, coping with global climate change and promoting world economic growth. Taking domestic hydrogen listed company a as an example, this paper analyzes the theory and data from the aspects of business model, core competitiveness and financial report in 2020, and finds that even with strong competitiveness, the business performance of company a, which has no major problems in business model, has suffered losses. In the future, the company or the development industry should be improved from both internal and external aspects. At the internal level, actively and steadily improve the management quality, increase R & D efforts, optimize the project delivery process, and implement the financial intelligent transformation. At the external level, we are actively developing the market and expanding business. At the same time, we should strengthen publicity to the society and the public to guide consumers to trust and choose new energy products. The purpose of this paper is to provide some help for promoting the development of new energy industry in China.

Application of Laser-Induced Breakdown Spectroscopy in Detection of Cadmium Content in Rice Stems.

The presence of cadmium in rice stems is a limiting factor that restricts its function as biomass. In order to prevent potential risks of heavy metals in rice straws, this study introduced a fast detection method of cadmium in rice stems based on laser induced breakdown spectroscopy (LIBS) and chemometrics. The wavelet transform (WT), area normalization and median absolute deviation (MAD) were used to preprocess raw spectra to improve spectral stability. Principal component analysis (PCA) was used for cluster analysis. The classification models were established to distinguish cadmium stress degree of stems, of which extreme learning machine (ELM) had the best effect, with 91.11% of calibration accuracy and 93.33% of prediction accuracy. In addition, multivariate models were established for quantitative detection of cadmium. It can be found that ELM model had the best prediction effects with prediction correlation coefficient of 0.995. The results show that LIBS provides an effective method for detection of cadmium in rice stems. The combination of LIBS technology and chemometrics can quickly detect the presence of cadmium in rice stems, and accurately realize qualitative and quantitative analysis of cadmium, which could be of great significance to promote the development of new energy industry.

Analysis of Capital Market Supporting Mechanism for the Development of New Energy Industry

Analysis of Capital Market Supporting Mechanism for the Development of New Energy Industry

The willingness of submitting waste cooking oil (WCO) to biofuel companies in China: An evolutionary analysis in catering networks

The use of waste cooking oil (WCO) in biofuel production can both reduce food safety problems and promote the development of new energy industry. However, to gain higher payoffs, restaurants usually sell total or partial WCO to illegal peddlers. It is of practical significance to study how to improve the willingness of restaurants submitting WCO to biofuel companies. We construct a tripartite game model in the catering network to investigate the dynamic impacts of the intervention of the government, biofuel companies, and consumers on the willingness of restaurants disposing WCO. The results demonstrate that, optimizing the intensity of government supervision and subsidies to restaurants, increasing the demand and the recycling price of biofuel companies for WCO, and strengthening the social responsibility of consumers can effectively improve the willingness that restaurants deal with WCO legally. It is noteworthy that there is a threshold effect on the government fine for restaurants and the recycling price of biofuel companies for WCO. The outcome of blindly increasing these two factors may be inconsistent with the expectation. In addition, the adjustment of a single factor cannot make restaurants in catering networks submit the total WCO to biofuel companies. Therefore, the government should consider promulgating the combination of multiple policies with the coordination of biofuel companies and consumers, to solve the WCO problem better.

Situation Analysis on the Price Formation Mechanism of New Energy in China

With the rapid development of China’s economy, the energy shortage is becoming more and more serious. In order to realize the sustainable development of society, Chinese government has strengthened its support for the development of new energy industry. At present, the total installed capacity of new energy in China has reached 37.2%. Compared with the initial period, the scale of new energy industry has been greatly increased. However, the problem of pricing mechanism of new energy benchmarking in China is increasingly prominent, which not only increases the gap of financial subsidies, but also fails to realize the reasonable optimal allocation of resources. For this purpose, according to the current domestic electricity market environment, this article proposes a new energy price formation mechanism which is more conformed to China’s national conditions. Firstly, the article summarizes the existing international new energy pricing mechanisms and analyses the countries in which they are applied. Secondly, through the analysis of the problems and challenges of new energy price in China, the formation mechanism of new energy price in this environment is proposed according to the current situation and future development trend of power market construction in China. Finally, the article summarizes the whole text and proposes relevant policy recommendations as a useful reference for the government to promote the construction of electricity market.

Maintenance of electrical equipment and wiring of new energy vehicles

In order to comply with the call of the scientific development concept and actively implement the coordinated development of ecological economy, China vigorously promotes the development of new energy industries. As one of the main mobility tools for modern people, cars have greatly improved people’s travel efficiency. Under the general environment, fuel vehicles have gradually moved closer to new energy vehicles. I hope that this will help to reduce urban pollution, environmental pollution and energy consumption. With the support of national policies, the scale of China’s new energy vehicles is getting larger and larger. As of the end of 2019, the number of domestic new energy vehicles had exceeded two million. However, after all, new energy vehicles are an emerging industry, and there are still immature areas in technology. Therefore, it is not difficult to avoid some electrical equipment or line failures during use. Once such situations are found, it will not only affect people’s driving. Experience, there may also be life threatening. For this reason, it is necessary to strengthen the maintenance and protection of the electrical equipment or lines of new energy vehicles on a regular basis. Therefore, this article focuses on the maintenance of new energy vehicle equipment lines to provide technical guidance and reference for the sustainable development of the industry.

How good or how poor have China’s new energy enterprises done: An empirical study based on the lagged double-market network

The new energy industry includes the research, exploitation, and production of new energies. It is an important basis for measuring the level of high-tech development in a country and region. In China, the development of new energy industry faces many problems such as technology, market and industrial coordination. It is believed that the research in the background of China, the world’s largest developing country, can be representative of other developing countries. To estimate the development status of China’s new energy industry, especially the efficiency in commodity and financial markets, this paper proposes the sealed and lagged double-market network model and the open and lagged double-market network model to evaluate new energy enterprises in the two markets and their stability when considering external environment. Based on the empirical investigations, we find that: (1) The listed new energy enterprises in China grew stably between 2012 and 2017. (2) The carbon emission decrement may lead the development of these new energy enterprises. (3) The stable enterprises perform better than the unstable enterprises. (4) Pure-play enterprises perform better than multi-business ones. The enterprises located in the developed areas performed better than the individuals located in the less-developed areas, and the emerging enterprises are more efficient than the mature enterprises. According to the above findings, this paper provides useful information for the new energy managers and the government to improve the development of this industry. The results also enable investors to select well-performing and stable enterprises and deal with the uncertainties in the financial market.

An efficient power load forecasting model based on the optimized combination

The new energy industry gains more and more attention since the problem of resource scarcity and utilization of the renewable energy has become a global highlight issue. In this paper, we propose a new load forecasting model under the development of new energy industry by choosing the typical wind power as the key subject, which is also an important reference for other energy industries. The wind power load forecasting model is built based on optimized combination, which is forecasted and analyzed by the time series, the Markov and the gray forecasting models individually, and then combined by the optimized weighting coefficients. The method has overcome the limitations of poor adaptability of the single forecasting models and come out with an ideal result. Experimental results show our method has better performance compared with other related algorithms in different datasets.