New Energy Industry In China Research Articles

New Energy Demonstration City Policy and Green Innovation of New Energy Enterprises——A Quasi-Natural Experiment Based on Green Patent Applications of Listed Companies in China

The innovation and development of the new energy industry is crucial to guaranteeing China's energy security, promoting high-quality economic development and alleviating the global climate crisis. New Energy Demonstration City Policy (NEDC) is one of the important policies to promote the development of the new energy industry in China. Academic research on their green innovation effect on new energy enterprises and the explanation of their influence mechanism still needs to be deepened. This paper utilizes panel data from listed companies in China spanning from 2011 to 2019 and employs the triple difference method to empirically investigate the impact of NEDC on the green innovation of new energy enterprises. Findings of the study are as follows: (1) The implementation of NEDC significantly promotes green innovation among new energy enterprises, a conclusion that holds true under a series of robustness tests; (2) Further analysis suggests that, from the perspective of patent heterogeneity, the "incremental" manifestation of this policy effect is more pronounced; (3) From the perspective of ownership heterogeneity, distinct from state-owned enterprises, the promotion of green innovation among private new energy enterprises is notably significant under the policy; (4) Mechanism analysis reveals that NEDC can alter the ways in which new energy enterprises acquire and utilize funds, thereby increasing R&D investment and facilitating green innovation. The research conclusions of this paper bear certain policy implications, providing theoretical foundations and empirical references for government departments to optimize and promote NEDC.

Trajectory Of Development in China's New Energy Vehicle Industry Through Data Analysis and Expectation

Amidst a global shift towards sustainable transportation, this study conducts an in-depth analysis of data about China's new energy vehicle (NEV) sector from 2013 to 2022. This research primarily evaluates the standards and key factors influencing the NEV industry's evolution. Spearman correlation and decision tree models indicate that the average price of new energy vehicles and the government subsidies for them have the most significant impact on the development of the new energy industry in China. Expanding on these insights, a robust LASSO linear regression model was developed to further explore these dynamics. Additionally, an ARIMA time series model was employed, leveraging historical data to forecast the factors likely to influence the NEV industry in the coming decade. Integrating these forecasts into the initial evaluation model, the study anticipates a positive growth trajectory for China's NEV development, especially between 2023 and 2025. This research not only sheds light on the current state of the NEV industry in China but also provides valuable predictions for its future direction, contributing to the broader understanding of sustainable vehicle evolution in the global context.

The Influence of New Energy Industry Agglomeration on Regional Green Innovation Performance—Evidence from China

The advance of the new energy industry and the promotion of green innovation are both important ways to solve environmental pollution and achieve economic green transformation, and there may be a non-negligible intrinsic connection between the two. Utilizing panel data covering the period from 2011 to 2021, encompassing 30 provinces and cities in China, this study measures agglomeration levels of the new energy sector and green innovation performance in each region. Via the application of the fixed-effect model and spatial Durbin model, this study empirically examines the impact mechanism of green innovation performance resulting from the agglomeration of the new energy industry. This investigation discloses that there is regional heterogeneity in China’s new energy industry agglomeration level, with the highest level observed in the western region. The distribution of green innovation performance forms an “East–Middle–West” ladder pattern, with both the central and western regions falling below the national average. Agglomeration of the new energy sector exerts a non-linear, “U-shaped” influence on green innovation performance, demonstrating conspicuous regional heterogeneity; opening up positively moderates the “positive U-shaped” correlation between new energy agglomeration and green innovation performance. A clear spatial spillover effect characterizes the agglomeration of the new energy industry, demonstrating a non-linear “inverted U-shaped” influence on the green innovation performance of surrounding regions. This paper aims to offer policy insights into the establishment of developmental layouts for the new energy industry in China while simultaneously providing practical references for enhancing regional green innovation performance.

Sustainable Development of Lithium-Based New Energy in China from an Industry Chain Perspective: Risk Analysis and Policy Implications

Lithium-based new energy is identified as a strategic emerging industry in many countries like China. The development of lithium-based new energy industries will play a crucial role in global clean energy transitions towards carbon neutrality. This paper establishes a multi-dimensional, multi-perspective, and achievable analysis framework to conduct a system analysis for determining the potential risks involved in the sustainable development of lithium-based new energy industries in China and other countries towards a carbon-neutral future. The results show that critical risk points including resource supply risks, overcapacity risks, environmental impact risks, and regulation absence risks have emerged with the large-scale development of the lithium-based new energy industry in China. These will not be helpful for the sustainable development of the lithium-based new energy industry, which will play a vital role in attaining the goal of carbon neutrality. Based on our risk identification, a policy implication analysis was performed to investigate potential policy countermeasures including promoting the exploration and development of domestic lithium resources, improving the coordination degree of the lithium-based new energy industry, adopting green and low-carbon development paths, and improving the quality of industry regulation. Based on our findings, recommendations are proposed to optimize policy formulation and implementation for stimulating the sustainable development of the lithium-based new energy industry towards a carbon-neutral future.

Investigating the Determinants of the Growth of the New Energy Industry: Using Quantile Regression Approach

ABSTRACT Expanding the supplies of new energy can not only reduce CO2 emissions, but also alleviate energy shortage. This paper applies the quantile regression to investigate the new energy industry in China. The results show that economic growth exerts the greatest effect on the new energy industry in the lower 10th quantile province. This is because these provinces have the developed economies, demand for a higher ecological environment and new energy resources. Foreign energy dependence has a minimal impact on the new energy industry in the 25th–50th quantile province, due to their minimal oil importation. The contribution of technological progress to the upper 90th quantile province is the lowest, because their R&D capabilities are the weakest. The impact of energy consumption structure decreases in steps from the lower 10th quantile provinces to the upper 90th quantile provinces. The agricultural sector promotes the new energy industry in most provinces.

Dissolution Behavior and Kinetics of the Phosphorus–Potassium Associated Ore during Phosphoric Acid Leaching

The comprehensive utilization of the phosphorus–potassium associated ore has become significant to the new energy industry in China. This study proposes a new method for utilization of the phosphorus–potassium associated ore by phosphoric acid leaching. The mineral phase of the phosphorus–potassium associated ore was analyzed by X-ray diffraction and mineral liberation analysis. The leaching characteristics, mechanism, and kinetics of phosphorus, potassium, aluminum, magnesium, and iron were systematically investigated. Phosphorus and potassium leaching processes were controlled by the internal diffusion of the shrinking core model with apparent activation energies of 30.43 and 23.81 kJ/mol. The optimized leaching process conditions were as follows: stirring speed of 400 rpm, particle size of 150–300 μm, phosphorus concentration (P2O5) of 14%, phosphorus-to-calcium ratio of 9.65, reaction temperature of 40 °C, and reaction time of 60 min. The phosphorus leaching rate was 96.18 ± 0.92%, and the potassium leaching rate was 2.60 ± 0.08%. The acid-insoluble residue was mainly composed of potassium feldspar, indicating that effective separation of phosphorus and potassium was achieved through phosphoric acid leaching.

Does government subsidy stimulate or shackle new energy industry efficiency? Evidence from China.

During 2013-2017, the new energy industry in China experienced prosperous growth with the financing support of the government. To evaluate the real performance of this industry and the government subsidy effect during this period, this paper measures both the original and adjusted industry efficiencies and investigates the non-linear impact of the government subsidy. Applying a four-stage data envelopment analysis (DEA) method to a sample of listed companies during 2013-2017, we find that: (1) China's new energy industry obtains relatively a high efficiency while showing a noticeable decline after a rising trend; (2) the industry efficiency presents a downward adjustment after eliminating the environmental factors; (3) a single threshold of government subsidy is identified, indicating a shackle after a short-term positive impact; (4) the positive mediating effect of cash flow and R&D investments are identified; and whereas the management self-interest presents a negative mediating effect, (5) the regional and ownership endogeneity of the government subsidy effect are recognized.

Influence of intelligentization on enterprise green innovation: Evidence from listed companies of new energy industry in China

Influence of intelligentization on enterprise green innovation: Evidence from listed companies of new energy industry in China

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.

Analysis of and Thinking on New Energy Enterprises Engagement in Standardization Activities

With the unprecedented development of new energy industry in China, new energy enterprises are also facing many problems, the most important of which is that the transformation of scientific and technological achievements into real productive forces is not successful enough. The paper studies the relationship between new energy enterprises and standardization activities, analyzes the policies on, challenges in and institutional construct to new energy enterprises engagement in standardization activities, and identifies the role and impact of new energy enterprises engagement in standardization. And it intends to provide the technical program for new energy enterprises engagement in standardization, thus enable them to establish scientific management, promote technological innovation and the transformation and application of scientific and technological achievements, finally achieves the purposes of environmental protection and economic sustainable development.

The impact of oil price changes on stock returns of new energy industry in China: A firm-level analysis

This paper aims to investigate the impact of oil price changes on the new energy industry in China from the perspective of firm-level analysis. Specifically, we firstly evaluate the contemporaneous effect of oil price changes on the stocks of the new energy industry and find the heterogeneous performance of new energy firms with respect to oil prices. Moreover, we find a phenomenon that the lagged effect of oil prices on most new energy firms in the short term is stronger than that in the long term. In addition, we demonstrate the strong asymmetric effect of oil prices on most new energy firms. Finally, we find that state-owned firms are more robust to the asymmetric effect of oil prices, whereas domestic privately-owned firms are more robust to negative oil price returns.

Predicting the capital intensity of the new energy industry in China using a new hybrid grey model

Abstract Capital intensity is an important indicator for reflecting the relative changes of production factors of an industry. The facilitating effect of capital deepening, i.e., the positive impact of the augment of capital intensity, towards the structural transformation of the industry is definite. Therefore, the accurate prediction of capital intensity of the new energy industry is of great significance in facilitating the structural transformation and upgrading of the industry. Based on the Cobb-Douglas production function, an industry-level capital-labour ratio (KLR) model is established to describe the dynamic characteristics of the capital intensity. Then, by combining the estimation and prediction method of the nonlinear grey Bernoulli model (NGBM(1, 1)) with the KLR model, a new hybrid grey model, i.e., NGBM(1, 1)-KLR model is proposed. In this way, the economic meaning of the KLR and the advantage of the NGBM(1, 1) model in solving small-sample and nonlinear problems are complemented with each other, which enables one to more favourably predict the capital intensity of the industry. To verify the effectiveness and superiority of the proposed model, the NGBM (1, 1)-KLR model is used to predict the capital intensity of the new energy industry in China, and the model is compared with the GM(1, 1) and the NGBM(1, 1) models in the prediction performance. The empirical results show that the NGBM(1, 1)-KLR model can more accurately predict the capital intensity of the industry in China than the GM(1, 1) and the NGBM(1, 1) models. Moreover, the new hybrid grey model is used to carry out the out-of-sample prediction for the capital intensity of the new energy industry in China in the period of 2017–2020. The predicted results demonstrate that the structure of the industry in China will further transform and upgrade towards the capital deepening.

Investment efficiency of the new energy industry in China

This paper evaluates the investment efficiency of the new energy industry in China and investigates factors that explain variations in investment efficiency across firms and over time. Applying a four-stage semi-parametric DEA analysis framework to a sample of listed new energy firms over the period 2012–2015, we find that the overall investment efficiency of the new energy industry is relatively low, with an average total technical efficiency of 44%, pure technical efficiency of 48%, and scale efficiency of 90%. We also find that new energy firms' investment efficiency is affected by both macroeconomic conditions and firm-specific characteristics. Our results are robust and have significant implications for policy makers and firm managers.

Export injury early warning of the new energy industries in China

PurposeIn recent years, continuous expansion of the scale of the new energy export industry in China caused a boycott of American and European countries. Export injury early warning research is an urgent task to develop the new energy industry in China. The purpose of this paper is to build an indicator system of exports injury early warning of the new energy industry in China and corresponding quantitative early warning models.Design/methodology/approachIn consideration of the actual condition of the new energy industry in China, this paper establishes an indicator system according to four aspects: export price, export quantity, impact on domestic industry and impact on macro economy. Based on the actual data of new energy industry and its five sub-industries (solar, wind, nuclear power, smart grid and biomass) in China from 2003 to 2013, GM (1,1) model is used to predict early warning index values for 2014-2018. Then, the principal component analysis (PCA) is used to obtain the comprehensive early warning index values for 2003-2018. The 3-sigma principle is used to divide the early warning intervals according to the comprehensive early warning index values for 2003-2018 and their standard deviation. Finally, this paper determines alarm degrees for 2003-2018.FindingsOverall export condition of the new energy industry in China is a process from cold to normal in 2003-2013, and the forecast result shows that it will be normal from 2014 to 2018. The export condition of the solar energy industry experienced a warming process, tended to be normal, and the forecast result shows that it will also be normal in 2014-2018. The biomass and other new energy industries and nuclear power industry show a similar development process. Export condition of the wind energy industry is relatively unstable, and it will be partially hot in 2014-2018, according to the forecast result. As for the smart grid industry, the overall export condition of it is normal, but it is also unstable, in few years it will be partially hot or partially cold. The forecast result shows that in 2014-2018, it will maintain the normal state. In general, there is a rapid progress in the export competitiveness of the new energy industry in China in the recent decade.Practical implicationsExport injury early warning research of the new energy industry can help new energy companies to take appropriate measures to reduce trade losses in advance. It can also help the relevant government departments to adjust industrial policies and optimize the new energy industry structure.Originality/valueThis paper constructs an index system that can measure the alarm degrees of the new energy industry. By combining the GM (1,1) model and the PCA method, the problem of warning condition detection under small sample data sets is solved.

Comprehensive Evaluation Method Research of New Energy Venture Investment Project

The government has issued a series of policies to support the development of new energy, but the investment of new energy still has some risk. The evaluation of venture investment project has great significance for reducing risk and increasing return. By referencing some scholars’ research, this author established a new energy index system of venture investment project, and then evaluated the value of new energy projects by combining the net present value method with multi-stage trigeminal tree real options method. Hope it can do some help for the development of new energy industry in China.

Field survey analysis of the public's cognition on the new energy industry in China

The public enjoy an important role in the development of China's new energy industry. However, the role has not attracted sufficient attention. By the way of field investigation, the paper acquired the first hand data of the public cognition on the China's new energy industry. Survey data showed that the public enjoyed awareness of China's new energy industry to some extent. And the public had optimistic expectations on the future development of new energy industry. Moreover, there were obvious differences in the degree of public's familiarity with different new energy varieties. The education level and age of the individual public had a significant impact on his awareness of China's new energy industry. To raise public participation in China's new energy industry, it entailed highlighting the status of the public in China's new energy industry, increasing the publicity of the new energy industry with different measures for different types of public group.

Research On Investment Status and Countermeasures of New Energy Industry In China

In order to play an important role in improving the energy structure of new energy, solving the energy shortage and environmental pollution with new energy, it did the research on investment status of new energy industry in China. Based on the data analysis, this paper mainly discussed problems investigate management, technology, capital, etc. and put forward reasonable proposals that conducive to the development of new energy industries.

Development Obstacles of New Energy Industry in China and Countermeasures

With the increasing strain on fossil energy supply and deterioration of the environment caused by fossil energy consumption, improving energy consumption structure and vigorously developing new energy are becoming imperative. In recent years, great progress has been made in Chinese new energy industry development. But the bottleneck occurs at present. This paper analyzes the development obstacles of new energy industry in China, and countermeasures for Chinese new energy industry development are given.

Study on the Development Capability of New Energy Industry in China -A Case Study of New Energy Industry Development in Tianjin

This study first introduces the development history of new energy industry. In order to evaluate the development capability of new energy industry, the study set up an evaluation model for development capability of new energy industry. Using this model the study evaluates the development capability of new energy industry in Tianjin.

A novel analysis model of China’s new energy talents

Sustainable development of the new energy industry requires continuous input from professional talents. The new energy industry will continue to grow in importance, and the characteristics of the necessary cross-discipline talents that will promote its development are becoming more and more defined. This article puts forward an analysis model starting with the addition of talents carriers subdivided by specialties, and takes this subdivision as a starting point with the purpose of maximizing talents selection throughout the entire nation. First of all, we define each talent as a specific vector. Then a clustering algorithm is used to perform an analysis and the new energy talents database is created. Finally, we use an algorithm based on graph theory and discrete mathematics to calculate the essential value of the talents vector. This value provides a measurement of the importance of the talents. The current talents structure is analyzed in order to clarify understanding of the present situation so as to enable informed planning of targeted training needs and structural adjustments, thus meeting the sustainable development requirements for the new energy industry in China.