New Energy Vehicles Research Articles

Evaluating China’s New Energy Vehicle Policy Networks: A Social Network Analysis of Policy Coordination and Market Impact

Since 2015, China has witnessed a rapid increase in new energy vehicle (NEV) market penetration, achieving global leadership in this sector. This study employs social network analysis (SNA) and Granger causality tests to examine how policy coordination has influenced China’s NEV market development from 2015 to 2023. We evaluated policy coordination using six network metrics: network density, average path length, transitivity, average clustering coefficient, number of components, and size of largest component. Our findings reveal both correlative and causal relationships between policy coordination and market performance. The analysis demonstrated strong positive correlations between network metrics and market performance indicators (ρ = 0.800–0.850, p < 0.01), while Granger causality tests identified significant temporal effects, particularly in the long term (F = 284.051–281,486.748, p < 0.001). Notably, the largest component size shows immediate causal effects on market performance (F = 4.152, p < 0.05). Based on these results, we recommend establishing a multi-level policy coordination system, optimizing the policy network structure with emphasis on core components, implementing dynamic policy adjustment mechanisms considering time-lagged effects, and strengthening collaborative supervision of policy implementation to further advance China’s NEV market development.

Based on the New Dynamic Network DEA and Malmquist Index of High-Quality Innovation in the New Energy Vehicle Economy Development Research of the Internet of Things

This paper takes the enterprise economic data of new energy vehicles (NEVs) in 2018–2023 as the research background, combined with the performance evaluation theory of the NEV industry, and systematically discusses how to make the high-quality innovative development of NEVs as the research purpose. We use the new dynamic network data envelope analysis (DEA) model, Marmquist Index and other and the Internet of Things internationally recognized, scientific and effective data models as research methods to make an in-depth analysis of the business performance of five representative enterprises on multi-quantitative input-output issues. The research results show that the NEV industry has a good development prospect and economic foundation on the whole, but it still faces challenges such as limited space for core technology progress, insufficient carbon emission reduction and environmental protection planning. At the end, this paper puts forward innovation suggestions such as accelerating technological innovation, optimizing production process and responding to preferential policies and exploring international market.

Research and analysis of new energy vehicle business model based on social demand

Introduction: New energy vehicles (NEVs) refer to automobiles powered by alternative energy sources to reduce reliance on fossil fuels and mitigate environmental impacts. They represent a sustainable transportation solution, aligning with global efforts to promote energy efficiency in the automotive sector. Aim: The purpose of this research is to investigate the influence of social demand on the business model of NEVs. Through a comprehensive analysis of consumer preferences and market dynamics, the research aims to identify strategies for driving the sustainable growth of the NEV industry in respond to societal demands. Research methodology: We conduct a questionnaire survey on 2415 individuals and evaluated that questionnaire data by multifactor analysis of variance to examine individual consumer characteristics. We employed NOVA to evaluate the differences in market penetration factors. Additionally, a regression analysis model is utilized to examine accessibility element’s effects on the consumer’s intensions to buy, addressing categorical and ordered data requirements effectively. Research findings: This research demonstrates that middle-aged and adolescent demographics show the highest willingness to purchase NEV’s, particularly emphasizing technological advancements. Consumer preferences vary based on focus like NEV type, model and brand, necessitating tailored marketing strategies. Conclusion: Improving perception levels and addressing charging convenience and innovative features are vital for enhancing market penetration and sustainable business growth in the NEV industry.

How to Improve the Efficiency of the New Energy Vehicle Industry: Multiple Paths From Configuration Perspective

ABSTRACTThis study examines regional new energy vehicle (NEV) industry efficiency across 26 Chinese provinces, addressing the need for deeper insights into the spatiotemporal efficiency patterns and configurational pathways influencing NEV development. By employing data envelopment analysis (DEA) to measure efficiency, exploratory spatial data analysis (ESDA) to explore spatial clustering, and fuzzy‐set qualitative comparative analysis (fsQCA) to investigate configuration‐based pathways, this research provides a nuanced understanding of how regional factors shape NEV efficiency. The analysis identifies four distinct configurational pathways: policy bolstering for technological innovation, organizational synergy, market dynamics and regulatory synergy, and structural deficiency type. These findings suggest that developed regions benefit from prioritizing organizational collaboration and technological support, while less‐developed areas may improve efficiency through foundational policy enhancement and regulatory alignment. Furthermore, investing in human capital, technical innovation, and infrastructure can contribute to building a resilient NEV ecosystem. By integrating multiple analytical methods, this study sheds light on the complex interactions shaping NEV efficiency across regions and offers insights for policymakers to enhance the global competitiveness and sustainability of China's NEV industry.

Optimal Recovery Mode for New Energy Vehicle Battery Recycling Under Government Policies

ABSTRACTThe choice of spent new energy vehicle (NEV) battery recovery mode is crucial to improve recovery performance. This paper examines the decision‐making rules for the closed‐loop supply chain of NEV batteries under the intervention of government policies. It also compares the performance of the supply chain across various recovery modes and the effects of different policies. Results indicate that (1) in terms of total revenue and recovery rate, the battery producer recovery mode, mixed recovery mode involving automobile manufacturer and professional recycler, is more effective. (2) The optimal solution for the decision variable is influenced by government policies, and this influence remains consistent across different recovery modes. (3) The positive impact of the deposit‐return system is linked to the relationship between the deposit amount and the reward scale. If the refund constitutes too small a proportion of the deposit, both total revenue and recovery rate will decline. Reducing recycling channel costs and enhancing purchasers' environmental awareness can increase the battery recycling ratio and higher total revenue.

Application of Regression model in Analyzing Carbon Emission Reduction Effect of Digital Economy Development: Evidence from China

This study examines how consumers' psychological requirements influence their purchase intention for new energy vehicles (NEVs). It seeks to determine how exogenous latent variables influence consumers' purchase intentions for NEVs in Guangzhou, China. Understanding these elements is important because they can help drive NEV manufacturers' marketing strategies and product development. To investigate the key factors influencing NEVs purchase intention, the study adopts the Stimulus-Organism-Response (SOR) model, which is combined with the Technology Acceptance Model (TAM) and Customer Perceived Value (CPV) theory. A questionnaire study was administered to Guangzhou residents to gather information about their perceptions of NEVs, such as perceived ease of use, perceived usefulness, perceived product quality, perceived service quality, and considered value of test drives. Structural Equation Modeling (SEM) was used to test the hypotheses and investigate the variables' direct and indirect impacts on purchase intention. The results show that the perceived ease of use had the greatest overall influence on NEVs purchase intentions, followed by perceived product quality, perceived usefulness, and perceived value of test drives. Perceived service quality, while significant, has a relatively little impact. Notably, women are more influenced by perceived ease of use and product quality perception, whereas men's purchase intention is primarily influenced by perceived service quality. Educational levels also have an impact, with highly educated people having a larger association between purchase intention and perceived ease of use. The direct effect of perceived usefulness on purchase intention has also been validated, emphasizing the importance of customers perceiving NEVs as valuable and useful. This study verifies the SOR model's usefulness in assessing purchase intentions for NEVs and demonstrates the important influence of customer psychological needs on purchasing decisions. The study makes specific strategic recommendations to NEV makers and marketers by identifying perceived ease of use, perceived product quality, and perceived usefulness as important factors of purchase intention. These include optimizing product design for ease of use, improving service quality, and promoting the value and use of NEVs through marketing initiatives. Overall, this study contributes to a better understanding of customer perceptions about NEVs and provides recommendations for increasing their acceptance in the Guangzhou market and elsewhere.

Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model

Although the rapid development of new energy vehicles (NEV) has contributed greatly to China’s carbon emission reduction, it has also brought about a problem that needs to be solved, namely the effective recycling of waste batteries. Existing recycling of waste batteries is plagued by a series of problems such as a single recycling channel, inconsistent recycling standards, lack of recycling technology, rampant irregular recycling enterprises, and low consumer participation. Meanwhile, due to the immaturity of the recycling market, the lack of clarity of existing regulations, and the lack of supervision and management, the above problems are becoming more and more serious. Therefore, to solve these problems, this paper constructs a four-party stochastic evolutionary game model including government regulators, NEV enterprises, third-party recycling enterprises, and consumers. Focus on analyzing the impact of relevant parameters on the choice of strategies by participants, and put forward proposed countermeasures to promote the effective recycling of waste batteries based on the conclusions.

Independent Directors' Opposition, Earnings Management and the Risk of Stock Price Crash

The purpose of this article is to explore the factors affecting subsidy relaxation and the measures that the new-energy vehicle industry should take in response to the continued weakening of subsidy policies. Examination of relevant literature and case studies revealed that domestic and international research on the impact and shortcomings of the vehicle purchase subsidy policy itself has made some progress, but there are still other problems and challenges. This article explains the profound significance of the release of the new energy vehicle purchase subsidy policy and subsidy weakening, and how the new energy vehicle industry should respond to the subsidy weakening and others Finally, the article summarises the main results and conclusions of the study, and provides a forecast on the research direction for the development of the new energy vehicle market.

Does institutional investors’ information advantage influence the ESG performance of China’s new energy vehicle industry? Evidence from listed companies in industrial chain

ABSTRACT ESG management of China’s new energy vehicle (NEV) industry is vital to advancing sustainable development goals (SDGs). However, NEV industrial chain faces ESG challenges, including carbon emissions, quality control, and legal compliance, which undermine corporate sustainability, and hinder institutional investors from achieving long-term benefits and client ESG demands. Currently, information advantage in the co-holding network determines how much information resources institutional investors can provide to optimize corporate ESG strategies. Therefore, we explore the impact of institutional investors’ information advantage on the ESG performance of NEV industry using listed companies in industrial chain. In China, institutional investors holding below 5% shares dominate, and they can advance ESG agenda through social media. Considering this, co-holding networks with thresholds below 5% are constructed to adequately identify information exchange, with network centralities measuring information advantage. Results show that 1% increase in institutional investors’ information advantage improves ESG performance by 0.163%. Positive moderating effects of green innovation and digital transformation are more significant in large-scale companies, while those of financing and information disclosure are more significant in small-scale ones. All these moderating effects are more significant in upstream. These findings develop policies for companies of various scales in industrial chain to promote SDGs.

Carbon Emissions from Food Consumption and Reduction Potential in Urban Residents: A Case Study of Provincial Capitals in the Middle and Lower Reaches of the Yellow River

Existing studies have established reliable methods for estimating carbon emissions from food consumption, yet there remains a lack of quantitative analysis on the decarbonization effects of energy transition and resource recycling. This study integrates lifecycle analysis and scenario analysis, based on data from 2006 to 2020, to conduct an empirical investigation of four provincial capital cities (Zhengzhou, Xi’an, Jinan, and Taiyuan) in the lower and middle reaches of the Yellow River, exploring the potential for reducing carbon emissions from food consumption and examining the driving effects of energy transition and resource recycling. The results indicate the following: (1) Per capita carbon emissions from food consumption decreased after 2016. (2) Incineration for power generation has a significantly higher carbon reduction effect than landfilling. The proportion of carbon emissions from food waste disposal decreased from 20% to around 6%, with the decarbonization potential of recycling transformation being 8.8%, 8.3%, 11.5%, and 14.4% in Zhengzhou, Xi’an, Jinan, and Taiyuan, respectively. Our findings suggest that promoting the widespread adoption of new-energy vehicles, increasing the share of renewable energy in power generation, optimizing food recycling technologies, and reducing food waste are crucial for achieving future reductions in carbon emissions from urban food consumption. The proposed methodology for assessing carbon emissions and reduction potential in food consumption can also be applied to other regions with varying geographical, economic, and policy contexts.

Should Charging Stations Provide Service for Plug-In Hybrid Electric Vehicles During Holidays?

The development of the new energy vehicle (NEV) market in China has promoted the sustainability of the automotive industry, but has also brought pressures to NEV charging infrastructure. This paper aims to determine the strategic role of charging stations, particularly on whether they should provide service for plug-in hybrid electric vehicles (PHEVs) in the highway service area during peak holidays. Firstly, the charging service resource allocation for a charging station that provides services for both electronic vehicles (EVs) and PHEVs is studied. Secondly, different queueing disciplines are compared. At last, a comparison between scenarios where charging services are limited to EVs and those where services extend to both EVs and PHEVs is conducted. A queueing system considering customer balking and reneging is developed. The impacts of parameters, such as the NEV arrival rate and patience degree of different NEV drivers, on the optimal allocation plan, profit, and comparison results are discussed. The main conclusions are as follows: (1) If the EV arrival rate is greater than the charging service rate, the charging station should not provide charging services for PHEVs. Providing service only for EVs derives more revenues and profits and results in a shorter waiting queue. Conversely, if the total arrival rate of NEVs (including EVs and PHEVs) is lower than the charging service rate, then the charging station should also serve PHEVs. (2) If providing service for PHEVs, a mixed queueing discipline should be applied when the total arrival rate approximates the service rate. When the total NEV arrival rate is significantly lower than the charging service rate, the separate queueing discipline should be adopted. (3) When applying a separate queueing discipline, if a certain type of NEV has a higher arrival rate and the drivers exhibit greater patience, then more charging resources should be allocated to this type of NEV. If the charging service is less busy, the more patient the drivers are, the less service resources should be allocated to them, whereas, during peak times, the more patient the drivers are, the more service resources should be allocated to them.

Research on Advanced Material Applications for Enhancing the Performance of New Energy Vehicle Components

This study aims to explore the application of advanced materials in new energy vehicle (NEV) components and assess their contribution to enhancing the overall vehicle performance. With the growing global demand for sustainable transportation solutions, NEVs have become a significant direction for the automotive industry. Against this backdrop, the performance enhancement of components is key to achieving higher energy efficiency, longer driving range, and a better driving experience. This paper first reviews the development history of new energy vehicle technology and the classification of advanced materials, then analyzes in detail the application of advanced materials in battery systems, electric motors and electronic control systems, lightweight structures, and thermal management systems. Through experimental research and case studies, this paper evaluates the specific impact of these materials on component performance and discusses the challenges faced in practical applications and future development directions. The research results show that the application of advanced materials can significantly enhance the performance of new energy vehicles, providing strong technical support for the further development of new energy vehicles. Finally, this paper proposes solutions to the challenges and limitations of performance enhancement in the application of advanced materials and suggests future research directions.

A novel MADM model integrating hybrid information for evaluating the development prospects of urban new energy vehicles.

As an effective approach to mitigating urban environmental issues, New Energy Vehicles (NEVs) have become a focal point of research regarding their current development status and future prospects in China. Addressing the significant disparities in the development of the NEVs industry across different cities, this study focuses on ten typical Chinese cities and develops a novel multi-attribute decision-making (MADM) framework to evaluate the prospects of NEVs promotion in these cities. The study first establishes a comprehensive indicator system that covers key dimensions such as economy, policy support, infrastructure, technological innovation, and environment, encompassing five different types of evaluation information. This system incorporates five different types of evaluation information: exact numbers, interval numbers, triangular fuzzy numbers, hesitant fuzzy numbers, and probabilistic linguistic term sets (PLTS), enhancing the framework's ability to handle diverse data types. Subsequently, the improved entropy (IEntropy) weight method is employed to determine the objective weights of the evaluation indicators. These objective weights are then integrated with the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, facilitating a structured group decision-making approach that synthesizes hybrid evaluation information. Based on modular thinking, hybrid evaluation information is synthesized to evaluate and rank the NEVs development prospects of each city. Sensitivity analysis and comparative analysis further demonstrate the robustness and reliability of the proposed MADM framework. The ranking results indicate that Shanghai and Guangzhou lead in NEVs promotion, while cities like Harbin and Zhengzhou lag behind. Based on these findings, the study proposes targeted policy recommendations to promote the sustainable development of the NEVs industry in major Chinese cities.

The dynamic risk spillover of higher-order moments in the China’s energy market: A time-frequency perspective

ABSTRACT This study employs a risk spillover measurement method based on CEEMDAN-SE, GARCHSK, and TVP-VAR-DY models to assess risk spillover among 11 sub-sectors in China’s energy market, such as coal, oil, thermal power, and new energy vehicles. The energy sector index return is decomposed into intrinsic mode functions (IMFs) and reconstructed into high, medium, and low-frequency sequences. The GARCHSK model calculates conditional mean, variances, skewness, and kurtosis sequences for these sequences, which are then integrated into the TVP-VAR-DY model to evaluate return, volatility, and higher-order moment risk spillovers. Empirical findings highlight significant time-varying spillover effects, with return and volatility spillovers surpassing average total skewness and kurtosis spillovers. The New Energy Vehicle (NEV) and Electric Power Grid (EPG) sectors act as major risk transmitters, while primary risk receivers vary by frequency and order. Regulatory authorities should develop a real-time surveillance mechanism to monitor the transfer of risks between the NEV sector and the EPG sector. It is essential to foster inter-industry cooperation to facilitate better resource allocation and swift response to emerging challenges. Furthermore, policymakers should focus on bolstering the resilience of pivotal sectors by employing dynamic risk management strategies and providing appropriate incentives.

Key Factors Shaping Purchase Intentions for New Energy Vehicles in Urumqi, China

Due to the increasing awareness of the United Nations' Sustainable Development Goals (SDGs) in China, there has been a notable shift in consumer behavior, with more individuals choosing to purchase new energy vehicles (NEVs) as their personal transportation. In response, the Chinese government has implemented policies to encourage NEV adoption. This study uses Urumqi as a sample area to examine the impact of personal preferences, social influences, and government policies on consumer behavior, specifically the intention to purchase NEVs in China. The research is based on the Theory of Planned Behavior (TPB). The findings reveal that consumer behavior in adopting NEVs is significantly influenced by social factors, including peer attitudes and behaviors, along with government support policies.

Research on Price Involution and Development of China's New Energy Vehicle Market

This article examines the phenomenon of price volatility in China's new-energy vehicle market and separately analyses the causes and possible consequences in terms of technological innovation and government policies. The Chinese government's policies to promote new energy vehicles, such as subsidies and rapid technological modernisation, have led to high demand for green energy vehicles and a fiercer competitive environment for companies, resulting in a downward price trend in China's new energy vehicle market. Aggressive pricing strategies often come at the expense of profit margins. Continued price declines can lead to fierce competition in China's new energy vehicle market, reducing the living space for small enterprises and reducing the diversity and development potential of the latest energy market. This article identifies the importance of the sustainable development of China's new energy vehicle industry and highlights the need for innovation, differentiation and a stricter policy framework to address the problem of price volatility. The aim is to provide suggestions to the government and the public on how to address the challenges caused by price erosion to promote a healthier and more competitive market environment that drives the growth and technological progress of China's NEV industry.

Spatial-Temporal Evolution of Sales Volume of New Energy Vehicles in China and Analysis of Influencing Factors

China’s transportation carbon emissions account for 10% of the total, with nearly 90% originating from road transport. Additionally, China is the world’s largest automotive demand market. Therefore, in the context of achieving the “dual carbon” goals, the promotion and application of new energy vehicles (NEVs) are particularly crucial. However, the current situation regarding the promotion trends and driving mechanisms of NEVs in China remains unclear. Therefore, this study, based on panel data, explores the spatial-temporal evolution of NEV sales in China from 2016 to 2022 through spatial analysis. Simultaneously, based on correlation analysis and geographical detectors, this study qualitatively and quantitatively investigates the driving factors of NEV sales in China. The results show that: (1) China’s NEV sales will increase by 5.7 million units in the seven years from 2016 to 2022, which is an extremely fast growth rate; (2) There are significant spatial-temporal heterogeneities in the sales of NEVs in China. Sales in the eastern region constitute the largest share among the four major economic regions, accounting for 61% by 2022. The northeastern region has the lowest sales, representing only 2.9% of the national total. (3) Among different provinces, the sales in coastal provinces such as Guangdong, ZheJiang, and Jiangsu are much higher than in inland provinces like Tibet and QingHai. (4) The contribution rates of driving factors vary across regions. Overall, however, the order of influence factors is as follows: road length (0.49) > proportion of the tertiary industry (0.48) > road area (0.40). Therefore, infrastructure is identified as the primary influencing factor for the promotion of NEV. This study has revealed the spatial-temporal evolution of NEV sales and their driving mechanisms, aiming to provide theoretical support for the promotion of NEVs in China.

Comparative Analysis of Policy Effect Evaluation of New-energy Vehicle Industry in China and the U.S.

Against fluctuations in the global automotive market, the electric vehicle (EV) industry has demonstrated a positive development trend overall. China has become a leader in battery production and related infrastructure construction, while the United States, though ranking third, also holds an important position. This paper analyzes the effects of government-led policies and market-driven policies on the electric vehicle policies of China and the United States. It explains how the industries and policies of the two countries interact. By analyzing the current state of the industries in both countries and their different policy preferences in terms of fiscal policy, infrastructure allocation, and other dimensions, the following conclusions can be drawn. Firstly, compared to the incoherent central policies and decentralized local policies lacking central authority in the U.S. electric vehicle industry, China's top-down long-term policies lead to a more consistent and efficient development of its electric vehicle industry. This article concludes that China's strong authoritative and consistent policies in the electric vehicle industry play an important role in maintaining its leading position in the global electric vehicle industry.

A Comparative Study of Renewable Energy Vehicle Policies between China and Japan and Its Implications

Sustainable green development, with a particular emphasis on reducing carbon footprints, has emerged as a pressing global concern as nations endeavor to transition towards low-carbon economies. This paper focuses on China and Japan, two leading automobile nations that prioritize the development of New Energy Vehicles (NEVs) and Electric Vehicles (EVs) technologies. A comparative analysis of the EV and NEV policies in these two prominent Asian countries is conducted, delving into various aspects such as incentives, innovations, market promotion strategies, and the development of charging infrastructure. China's NEV industry has made significant strides due to robust government support, fostering a thriving ecosystem for electric vehicles. In contrast, Japan's government and market have adopted a more conservative approach, placing a strong emphasis on hybrid vehicles. While both countries excel in their respective areas of focus, limitations remain. China is continuously seeking more sustainable methods to advance its NEV sector, while Japan faces delays in transitioning from hybrid vehicles to fully electric models. To enhance future competitiveness and propel global efforts towards a low-carbon, sustainable future, this paper provides valuable policy suggestions tailored to the unique challenges faced by both countries.

Evaluating the Potential of Multitype Energy Harvesting in New Energy Vehicles: A Systematic Review and Quantitative Analysis

This review presents an overview in the context of the current state of the art in energy harvesting technologies for new energy vehicles (NEVs) and delves into the significant energy losses experienced by NEVs during driving, braking, and overcoming wind resistance. Based on the different forms of energy losses, the prevalent energy harvesting technologies in the NEV domain are elucidated, with a focus on the fundamental principles of vibration energy, braking energy, wind energy harvesting, and their recent advancements in practical implementations. Vibration energy harvesting involves the conversion of mechanical energy from the suspension system into electrical energy, while brake energy harvesting captures a portion of the brake friction loss as electrical energy during braking, and wind energy harvesting utilizes wind power generators on the vehicle surface to produce electricity. By quantitatively evaluating the recovery effects of different types of systems, the report demonstrates the great potential of energy harvesting technologies to improve energy efficiency and extend the range of NEVs. Furthermore, it explores the future trajectory of energy harvesting technology, envisioning its integration as a standard feature in NEVs and heralding transformative progress in the global energy and transportation sectors.