Emissions of Chinese New Energy Vehicle and the Development Recommendations

Liu, Ying; Jian, Wang; Gong, Luyang

doi:10.1016/j.proeng.2016.01.240

Cited by 14 publications

(5 citation statements)

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“…Wu et al (2016) found that accelerating the development of new energy industry is one of the best ways to reduce CO 2 emissions at present [ 28 ]. By studying the cycle model of CO 2 emissions from new energy vehicles, Liu et al(2016) found that the effective use of new energy can significantly reduce the consumption of fossil fuels in China, thus significantly reduce CO 2 emissions [ 29 ]. Weber and Cabras(2017) analyzed the effect of renewable energy high-tech industry on CO 2 emissions in German.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of innovation efficiency of high-tech industries on CO2 emissions in China: A spatial Durbin econometric analysis

Zhong

2022

PLoS ONE

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As a responsible country, China should take on heavy responsibility of energy conservation and emission reduction, and it is an inevitable choice for China to develop high-tech industries and improve the innovation efficiency of high-tech industries in order to alleviate the current environmental pressure. Therefore, this paper takes the panel data of 30 provinces in China from 2005 to 2016 as the research sample, on the basis of using DEA Global-Malmquist index to measure the innovation efficiency of high-tech industries, it constructs three spatial weight matrices, by including spatial geography, spatial economic geography nesting and innovation, and then it uses Spatial Durbin Model to empirically analyze the effect of innovation efficiency of high-tech industry on CO2 emissions in China from spatial perspective. The results indicate: firstly, in China, CO2 emissions gradually increase from 2006 to 2012, however, some provinces have declined after 2012. And CO2 emissions present a descending trend from eastern coastal area to central and western region. Secondly, affected by “warning effect”, CO2 emissions show a significant negative spatial spillover effect. Thirdly, the overall level of innovation efficiency of high-tech industries in China is not high, and its impact on CO2 emissions is not a simple linear relationship, but shows an “inverted N–shaped” curvilinear relation, and its decomposition index EC and TC also have similar characteristics. Obviously, the research in this paper provides a necessary theoretical support for China and some emerging developing countries to rational formulating and effective implementing the energy conservation and emission reduction policies.

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Section: Literature Reviewmentioning

confidence: 99%

Effects of innovation efficiency of high-tech industries on CO2 emissions in China: A spatial Durbin econometric analysis

Zhong

2022

PLoS ONE

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“…In 2007, China has surpassed the United States to become the world's largest CO 2 emitter, and in 2010, China also surpassed Japan to become the world's second largest economy in 2010. Therefore, the implementation of China's energy conservation and emission reduction policies plays an important role in improving the global ecological environment 2 , 3 . In order to reduce CO 2 emissions, China has made many efforts in policy formulation and economic activities.…”

Section: Introductionmentioning

confidence: 99%

The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China

Zhong

Wang

2021

Sci Rep

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Forestry plays an essential role in reducing CO2 emissions and promoting green and sustainable development. This paper estimates the CO2 emissions of 30 provinces in China from 2008 to 2017, and uses Global DEA-Malmquist to measure the total factor productivity of the forestry industry and its decomposition index. On this basis, by constructing a spatial econometric model, this paper aims to empirically study the impact of forestry industry's total factor productivity and its decomposition index on CO2 emissions, and further analyze its direct, indirect and total effects. The study finds that the impact of forestry industry's total factor productivity on CO2 emissions shows an "inverted U-shaped" curve and the inflection point is 0.9395. The spatial spillover effect of CO2 emissions is significantly negative. The increase of CO2 emissions in adjacent areas will provide a "negative case" for the region, so that the region can better address its own energy conservation and emission reduction goals. TFP of forestry industry also has positive spatial spillover effect. However, considering the particularity of forestry industry, this effect is not very significant. For other factors, such as foreign direct investment, urbanization level, industrial structure and technology market turnover will also significantly affect regional CO2 emissions.

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“…Among these climate mitigation approaches, the development of NEVs is considered an important strategy as it targets the transportation sector, which accounts for 24.7% of total carbon emissions in the world. NEVs are defined as vehicles that primarily or exclusively use new energy with innovative power systems, including pure electric vehicles, plug-in hybrid electric vehicles, fuel cell vehicles, and hydrogen-based fuel-cell cars [8][9][10]. Many countries are vigorously developing and promoting the deployment of NEVs due to the prominent role of NEVs in reducing vehicle emissions, such as CO, SO 2 , and NOx [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

What Affects the Diffusion of New Energy Vehicles Financial Subsidy Policy? Evidence from Chinese Cities

Liu

2020

IJERPH

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Designing and implementing effective new energy vehicle (NEV) policy are policy priorities for policymakers and energy policy scholars. However, the formulation, adoption, and diffusion of the NEV policies have not been fully examined in the extant literature. This article explores the mechanisms driving the diffusion of local financial subsidy policy for NEVs in China. In this context, we aim at analyzing the factors affecting the diffusion of local financial subsidies for NEVs in cities, to explain why some cities have taken the lead in adopting local financial subsidy policies for NEVs, while other cities have lagged behind. Based on a data set of 286 cities in China from 2009 to 2016, and with event history analysis (EHA) to analyze the strategic behaviors of local governments, we found that the number of the city’s neighbors that have adopted the NEV policy, the financial incentive policy of the provincial government, the administrative ranking of the city, the city’s financial situation and innovation capacity have a direct impact on whether the city adopts a local financial subsidy policy for NEVs. This study has practical implications for policymakers in designing and promoting the spread of NEV policies.

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Emissions of Chinese New Energy Vehicle and the Development Recommendations

Cited by 14 publications

References 0 publications

Effects of innovation efficiency of high-tech industries on CO2 emissions in China: A spatial Durbin econometric analysis

Effects of innovation efficiency of high-tech industries on CO2 emissions in China: A spatial Durbin econometric analysis

The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China

What Affects the Diffusion of New Energy Vehicles Financial Subsidy Policy? Evidence from Chinese Cities

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