Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach

Zhang, Yue‐Jun; Peng, Hua-Rong; Liu, Zhao; Tan, Weiping

doi:10.1016/j.enpol.2015.09.022

Cited by 114 publications

(44 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the advantages of being free from the strict assumptions for the data distribution hypothesis, along with effectively eliminating the interference of outliers and heavy-tailed distributions, quantile regression method is widely used in the existing literature [30][31][32][33][34]. A quantile regression approach may be more efficient than the OLS method when the residual series is non-normal [32].…”

Section: Empirical Strategymentioning

confidence: 99%

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Huang

Neng-sheng

2018

Sustainability

View full text Add to dashboard Cite

The present paper investigates the impact of pollution information transparency index (PITI) on eco-efficiency using a novel panel dataset covering 109 key environmental protection prefecture-level cities in China over the period [2008][2009][2010][2011][2012][2013][2014][2015]. We apply an extended data envelopment analysis (DEA) model, simultaneously incorporating metafrontier, undesirable outputs and super efficiency into slack-based measure (Meta-US-SBM) to estimate eco-efficiency. Then, the bootstrap Granger causality approach is utilized to test the unidirectional Granger causal relationship running from PITI to eco-efficiency. Results of DEA model show that there exist significant spatiotemporal disparities of eco-efficiency, on average, the eco-efficiency in eastern region is relative higher than those of central/western region. Estimates of ordinary least square (OLS) method, quantile regression, and spatial Durbin model document that the evidence of an inverted-U-shaped relation between PITI and eco-efficiency is supported, and the turning points vary from 0.3370 to 0.4540 with different model specifications. Finally, supplementary analysis of panel threshold model also supports the robust findings. Policy implications are presented based on the empirical results.

show abstract

Section: Empirical Strategymentioning

confidence: 99%

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Huang

Neng-sheng

2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…Wang et al and Zhang et al both find that there exists a direct energy rebound effect for transport [27,28]. However, their results are very different from each other.…”

Section: Discussionmentioning

confidence: 93%

“…Zhang et al find that the average sizes of short-term and long-term rebound effect are 25.53% and 26.56% in the whole country through a dynamic panel data model, based on the data of 30 provinces during 2003-2012 [28]. According to the two studies of the Chinese transport sector, we find that the study by Wang et al [27] indicates that the majority of the expected reduction in transport energy consumption from efficiency improvement could be offset, whereas the study by Zhang et al [28] finds that a partial direct rebound effect exists in the whole of China. This difference may be on account of the different methods and observations.…”

Section: Discussionmentioning

confidence: 99%

“…We use the No. 0 diesel price to probe how the price level influences VKM, because the vehicles in road passenger transport in China are heavy and mainly burn diesel [28].…”

Section: The Elasticity Modelmentioning

confidence: 99%

“…Our attention is drawn to a striking difference: most studies have negative price elasticities [25,28,30], which means that when the fuel prices increase, the travel demand will decrease. However, our result is different from these results, which is reasonable in this paper.…”

Section: Rebound Effect Estimationmentioning

confidence: 99%

See 2 more Smart Citations

Are Chinese Green Transport Policies Effective? A New Perspective from Direct Pollution Rebound Effect, and Empirical Evidence From the Road Transport Sector

Qiu

2017

Sustainability

View full text Add to dashboard Cite

Air pollution has become a serious challenge in China. Emissions from motor vehicles have been found to be one main sources of air pollution. Although the Chinese government has undertaken numerous green policies to mitigate harmful emissions from road transport sector, it is still uncertain for both policy makers and researchers to know whether the policies are effective in the short and long terms. We propose a new concept of "pollution rebound effect" (PRE) to estimate the effectiveness of green traffic policies. We estimate direct air PRE as a measure of the effectiveness of the policies of reducing air pollution from the transport sector based on time-series data from the period 1986-2014. We find that the short-term direct air PRE is −0.4105, and the corresponding long-run PRE is −0.246. The negative results indicate that the direct air PRE does not exist in the road passenger transport sector in China, both in the short term and in the long term during the period 1986-2014. This implies that the Chinese green transport policies are effective in terms of harmful emissions reduction in the transport sector. This research, to the best of our knowledge, is the first attempt to quantify the effectiveness of the green transport policies in the transitional period that China is currently undergoing.

show abstract

Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries

Koseoglu

Yücel

Ulucak

2022

Sustainable Development

100

View full text Add to dashboard Cite

The ecological pressure of humanity on the planet measured by ecological footprint has been enlarging, which upsurges environmental threats. At this point, green innovation emerges as an optimal solution to sustainable development which brings together economic growth and environmental protection. This paper explores the nexus between green innovation and ecological footprint for the case of the top 20 green innovator countries. As a comprehensive environmental sustainability indicator, the ecological footprint is employed to observe the environmental impacts of green innovation. We apply cross-sectional dependence tests, panel unit root tests and panel cointegration tests covering the period of 1993-2016. The results show that economic growth is the primary reason for environmental degradation while urbanization does not have a statistically significant effect. Renewable energy consumption has a moderating influence on ecological footprint. More importantly, environment-related technologies have a statistically significant effect on ecological footprint. Specifically, a 1% increase in environment-related technologies leads to a 0.129% decrease in ecological footprint. The findings of the study clearly demonstrate that it is possible to achieve economic growth while protecting the environment. The results of the study are expected to be motivating for countries' transition toward green innovation in that sustainable development can be achieved if countries invest in green innovation.

show abstract

Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach

Cited by 114 publications

References 43 publications

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China

Are Chinese Green Transport Policies Effective? A New Perspective from Direct Pollution Rebound Effect, and Empirical Evidence From the Road Transport Sector

Green innovation and ecological footprint relationship for a sustainable development: Evidence from top 20 green innovator countries

Contact Info

Product

Resources

About