China's war against air pollution moves to next stage

2018 ◽  
Keyword(s):  
Air Pollution ◽  
Action Plan ◽  
Industrial Upgrading ◽  
Content Type ◽  
Electric Cars ◽  
The Past ◽  
New Energy ◽  
Mitigate Climate Change ◽  
Energy Intensive Industries ◽  
New Energy Vehicles

Subject China's anti-pollution plans for the next three years. Significance China’s 2018-20 'Three-year Action Plan for Winning the Blue Sky War' is an effort to further decarbonise the economy, with a focus on reducing air pollution. It sees the geographical widening of successful efforts in the past three years, if not a marked increase in ambition, to improve air quality by industrial upgrading, controlling the expansion of polluting industries, supporting new energy vehicles and increasing top-down inspections. Impacts Further closures and other policies will limit the expansion of commodities mined or processed in China, mainly coal, steel and aluminium. Electric cars will receive subsidies and favourable policies such as licence-plate limits for conventional, petrol-burning vehicles. Reducing polluting and energy-intensive industries to reduce smog also reduces carbon emissions, helping to mitigate climate change.

China’s climate policy reaches critical juncture

2020 ◽  
Keyword(s):  
Power Generation ◽  
Air Pollution ◽  
Climate Policy ◽  
Energy Transformation ◽  
Green Innovation ◽  
Short Term ◽  
Industrial Upgrading ◽  
Content Type ◽  
Self Sufficiency ◽  
Coal Power

Significance This is an opportunity for China to renew its commitment to industrial and energy transformation. However, a massive expansion of coal-burning power generation is also planned. Impacts China-US tensions pose an underestimated menace to the climate because they encourage China to seek energy self-sufficiency through coal. Coal, steel and mining industries will receive a short-term boost, despite their long structural decline and unsustainability. Greater use of coal power will increase air pollution, offsetting the benefits to human health of green innovation and industrial upgrading. President Xi Jinping’s promotion of the slogan ‘Ecological Civilisation’ suggests a desire for a green reputation internationally.

On Research of the Influence and the Countermeasures of Haze Weather Treatment on Automobile Industry Development

2014 ◽  
Vol 1073-1076 ◽  
pp. 2763-2765
Author(s):  
Ai Qin Huang
Keyword(s):  
Air Pollution ◽  
Automobile Industry ◽  
Positive Influence ◽  
The Other ◽  
Industry Development ◽  
Other Hand ◽  
New Energy ◽  
Big Cities ◽  
New Energy Vehicles ◽  
Laws And Regulations

Since 2013, lots of places in China have suffered serious fogs and hazes, therefore a number of measures have been taken to alleviate the problem, especially in some big cities such as Beijing, Tianjin, and Shijiazhuang. Some of the measures are targeted at automobile industry. This paper gave some suggestions about fog and haze prevention after analyzing the major causes of haze weather; meanwhile, it explained the positive influence on automobile industry. As far as automobile industry is concerned, it is necessary to issue related standards, laws and regulations as soon as possible. On the other hand, the development of new energy vehicles will help alleviate air pollution, and our purpose to avoid haze weather can be achieved.

scholarly journals Psychological Distance Toward Air Pollution and Purchase Intention for New Energy Vehicles: An Investigation in China

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenlong Liu ◽  
Lele Zeng ◽  
Qunwei Wang
Keyword(s):  
Air Pollution ◽  
Risk Perception ◽  
Purchase Intention ◽  
Price Level ◽  
Environmental Concern ◽  
Construal Level ◽  
Perceived Price ◽  
New Energy ◽  
The Relationship ◽  
New Energy Vehicles

Air pollution in China has been drawing considerable attention in recent years. The emergence of new energy vehicles (NEVs) provides hope to reduce air pollutant emission. However, consumers' recognition and acceptance of NEVs remain at the early stage. This research aims to explore how consumers' environmental concern influences their NEV purchase intention. Specifically, this research conducted an online survey and an experiment to address the following issues: (1) how consumers' psychological distance (PD) toward air pollution influences their purchase intention for NEVs, and does their risk perception of the consequences of air pollution mediate this influence; (2) whether consumers' perceived price level of NEVs plays a moderating role in the relationship between risk perception and purchase intention; and (3) whether the construal level of stimulus can be manipulated to influence consumers' PD toward air pollution to increase their purchase intention for NEVs. The results of study 1, based on a total of 293 valid samples, show that consumers' PD toward air pollution significantly affects their purchase intention for NEVs, and risk perception of the consequences of air pollution plays a considerable mediating role. Meanwhile, consumers' perceived price level of NEVs has a significant negative moderating effect on the relationship between risk perception and purchase intention. The results of study 2, based on an online experiment, show that the construal level of stimulus can influence consumers' PD toward air pollution, which in turn affects their purchase intention for NEVs. The findings of this research have implications for businesses' promotional strategies and governments' policies. For instance, low-construal-level promotional materials can be developed to arouse consumers' environmental concern, thereby facilitating their eco-friendly consumption behavior. Governmental financial assistance and other policies can also increase consumers' willingness to purchase NEVs.

scholarly journals Research and Analysis on Technical Problems of New Energy Vehicles in China Based on Big Data and Artificial Intelligence Algorithm

2021 ◽  
Vol 2138 (1) ◽  
pp. 012020
Author(s):  
Kunyao Gong
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Production Technology ◽  
Data System ◽  
Technical Problems ◽  
The Past ◽  
Intelligence Algorithm ◽  
New Energy ◽  
Artificial Intelligence Algorithm ◽  
New Energy Vehicles

Abstract In recent years, with the increasing problems of environmental pollution and energy security, energy-saving emission reduction and green low-carbon have become the focus of public opinion. Meanwhile, the New Energy Vehicles (NEVs) industry is beginning to rise gradually. Although NEV technology has made significant progress in some key technologies in China, there are still some technical bottlenecks restricting the popularization of NEVs. In order to understand the research hotspots and trends in the technology area of NEV quickly, objectively and intuitively, this paper studies the published literature on technical direction of NEVS in CNKI Database for the past ten years, which is from 2011 to 2020. According to the method of keyword analysis of the bibliometric, all the keywords in the literature are statistically classified as the research object, research method and research hotspot. Therefore, considering the development and the bottleneck of the NEVs industry in China, this paper sums up the hotspots and difficult points on technical problems of NEVs in China for the past ten years, and then establishes the problem method database of the NEV technology in China. It could provide a basis for the development of the NEV technology disciplines, and then contribute to facilitating the solution of the core technology in the field of NEVs. With the advent of intelligent and networked vehicles, artificial intelligence algorithm is applied to the energy management and control system of energy vehicles, so as to make common progress in the industrial production technology of new energy vehicles and artificial intelligence production technology. Big data has brought new challenges and opportunities to automobile Internet marketing. Using the big data system, Internet companies can accurately lock users, timely formulate and adjust refined marketing strategies according to the in-depth mining of big data, and timely quantitatively evaluate each effect. Big data provides technical basic support for Internet precision marketing in the automotive industry. With the big data system, brand marketing and effect marketing can be more accurate, and the tracking of effects can be more specific, so as to greatly reduce cost waste and improve user conversion rate.

scholarly journals Analysis on key maintenance technologies of new energy vehicles

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Hongda Cao
Keyword(s):  
Air Pollution ◽  
Sustainable Development ◽  
Development Strategy ◽  
Economic Level ◽  
Transportation Modes ◽  
National Economic ◽  
New Energy ◽  
Main Factors ◽  
New Energy Vehicle ◽  
New Energy Vehicles

With the continuous development of the society and improvement of the national economic level in China, people's life has undergone enormous changes in many aspects, the demand for transportation has gradually increased, and various transportation modes have emerged. At present, environmental pollution is becoming increasingly serious as automobile exhaust has become one of the main factors of air pollution. Under such circumstances, new energy vehicles have emerged and become increasingly popular in society, actively responding to the scientific and sustainable development strategy called for by China's government. This paper mainly studies the maintenance technology of new energy vehicle engines, hoping to provide help for the development of China's new energy vehicle industry.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

Investigating interdependencies of sustainable supplier selection criteria: an appraisal using ISM

2020 ◽  
Vol 13 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Avanish Singh Chauhan ◽  
Gaurav Kumar Badhotiya ◽  
Gunjan Soni ◽  
Prem Kumari
Keyword(s):  
Supplier Selection ◽  
Selection Criteria ◽  
Local Community ◽  
Pollution Prevention ◽  
Content Type ◽  
The Past ◽  
Micmac Analysis ◽  
Sustainable Supplier Selection ◽  
Social Environmental ◽  
Practical Implications

Purpose Because of the increased global competition and the need for environment consciousness, organisations have started focusing on incorporating sustainability dimensions into suppler selection criteria. In the past decade, sustainable supplier selection has received much attention from researchers as well as industry practitioners. The purpose of this paper is to identify various sustainable supplier selection criteria (SSSC) and underlying interdependencies among prominent selection criteria to develop a framework for sustainability dimensions. Design/methodology/approach The sustainable criteria for supplier selection were established through comprehensive literature review. An interpretive structural modelling (ISM) approach is used to investigate the interrelationships among these criteria. Findings A total of 21 SSSC under 3 dimensions (social, environmental and economic) are established. Ten criteria related to quality, capability, flexibility, waste management, pollution prevention, local community, employment practice, labour, etc. are exhibiting strong driving as well as dependence power, as demonstrated through ISM and matriced’ impacts croises-multiplication applique’ and classement (MICMAC) analysis. The findings show that delivery/service, eco design and rights of stakeholders are the “key” criteria having a high-driving and low-dependence power. These criteria require high attention from managers, while other criteria having low-driving and high-dependence power require secondary actions. Research limitations/implications The inter-relations for the development of ISM model and MICMAC analysis were obtained through the opinion of industry experts and academicians, which may tend to be subjectively biased. Further exploration is proposed to statistically validate the developed interdependency model. Practical implications This paper might act as a reference for the supplier development managers of organisations by providing an appraisal of various SSSC based on their interdependencies. Originality/value This study contributes to the knowledge base by proposing a framework of the interrelationships of the SSSC and also provides an additional perspective for managing these criteria based on ISM.

scholarly journals Purchase willingness of new energy vehicles: A case study in Jinan City of China

2021 ◽  
Vol 2 (1) ◽  
pp. 12-22
Author(s):  
Xueqing Tian ◽  
Qingling Zhang ◽  
Yuzhu Chi ◽  
Yu Cheng
Keyword(s):  
New Energy ◽  
Jinan City ◽  
New Energy Vehicles
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