The influencing factors and spatial spillover effects of CO2 emissions from transportation in China

Yang, Wenyue; Wang, Wulin; Ouyang, Shishu

doi:10.1016/j.scitotenv.2019.133900

Cited by 99 publications

(47 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, the transport structure mainly based on road transport will generate more greenhouse gas, and shifting the traffic from road to more environmentally friendly transport modes will affect energy consumption and carbon emissions. Similar conclusions were made by Wei et al [7], Pang [8], Liu [9], Yuan et al [10], and Yang et al [11]. Chai et al [12] compared the carbon emissions reduction effects of modal shift policy in China, the United States, the EU, and Japan, and found that China's transport industry has a large potential for structural carbon emissions reduction.…”

Section: Literature Reviewsupporting

confidence: 67%

The Impact of the Freight Transport Modal Shift Policy on China’s Carbon Emissions Reduction

Chen

Zong

2020

Sustainability

View full text Add to dashboard Cite

How to reduce the negative transport externalities, especially its carbon emissions, without having significant negative influence on economic and social development is the key for sustainable development in China. This paper explores the impacts of China’s recent modal shift policy on carbon emissions, summaries experience from China, and points out future development directions. The paper first compares the different energy consumption and carbon emissions between the road freight transport and the railways in China, and then has a scenarios analysis on China’s energy consumption and carbon emissions of the transport sector in 2025. The latest progress and major problems of modal shift policy in China are presented, and a methodology to address this problem is also proposed. Based on the methodology, we compare the benefits and costs brought by modal shift policy in the case of Ordos, Inner Mongolia. Based on the results, principles and suggestions on how to design and implement more efficient modal shift policy are proposed. We find that road transport is the most polluting mode among various modes of transport, and the railway transport has the least carbon emissions. Furthermore, the modal shift policy plays a positive role in carbon emissions, but the costs caused by the policy are higher than the benefits at some circumstances. Moreover, to achieve the sustainable modal shift policy by relying on the feasible market mechanism, together with scientific and effective regulation, instead of “one size for all” administrative policy, are likely the way forward.

show abstract

Section: Literature Reviewsupporting

confidence: 67%

The Impact of the Freight Transport Modal Shift Policy on China’s Carbon Emissions Reduction

Chen

Zong

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…Here, ρWY refers to the spatial lag of the explained variable, ρ represents the spatial autoregression coefficient, WY denotes the spatial lag explained variable, λWu is the spatial error term, λ indicates the autoregressive parameter, and u and ε are both error perturbations [30].…”

Section: Spatial Durbin Modelmentioning

confidence: 99%

“…In Equation 5, W represents spatial matrix; θWX stands for the spatial lag of the spatial lagged independent variables [30]; the definitions of the other variables in Equation 5are consistent with those in Equation (4).…”

Section: Spatial Durbin Modelmentioning

confidence: 99%

“…The major contributions of this article include: (1) The factors influencing EE were determined by using the Spatial Durbin model (SDM), which overcomes the drawbacks of both SEM and SLM, and includes spatial lags in the explained variable and independent variables [27,30]. (2) This study uses the empirical research results to propose a series of development policies designed to accomplish the targets of both the energy savings and emissions reductions, and suggestions for future research are also provided herein.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach

Zeng

2021

Sustainability

View full text Add to dashboard Cite

From the Kyoto Protocol to the Copenhagen Conference and the Paris Agreement, eco-environmental problems have gradually become a matter of common concern worldwide. Eco-efficiency (EE) is an essential indicator for measuring levels of sustainable development. This study uses an epsilon-based measure (EBM) model with undesirable outputs to evaluate the EEs of 30 Chinese provinces during the research period 2008 to 2017, and a spatial Durbin model (SDM) to search for the impact factors of EE. The results indicate that most provinces in China have a low EE level. The EE value of the eastern area is higher than are those for the central, western, or northeastern areas. The EE in China as a whole demonstrates an inverted V-shaped trend with a high point in 2011. The SDM shows that economic development level, foreign trade dependence, and technological progress exert significant positive effects on EE, while population density exerts significant negative influences on EE. This paper provides scientific bases for the formulation of policies resulting in sustainable development.

show abstract

“…Combined, these two qualities serve to trim costs and thereby help reduce the barriers to the introduction of more environmentally friendly solutions. Indeed, at first sight and at any given size level, compactness has an edge over the less densely laid out built environment, as a host of case studies attest (Camagni, Gibelli, & Rigamonti, 2002 on Milan;Carruthers & Ulfarsson, 2003 on the US;Naess 2006, 2012 on Copenhagen andthe Nordics, respectively;Yang, 2017 on Guangzhou andYang, Wang, &Ouyang, 2019 on China more generally, to mention but a few). Less pressure on what is often prime agricultural land, more efficient provision of infrastructure, a greater scope for introducing or maintaining cost-effective public transport, reduced energy consumption, better circumstances for the organising of recycling and the sharing economy, not to mention better accessibility to various amenities, are the most obvious benefits that urban dwellers can derive from living close together.…”

Section: Compact Livingmentioning

confidence: 99%

Urban Advantage? Sustainability Trade-Offs Across and Within the Intra-Urban Space

Lerpold

Sjöberg

Tang

2021

Sustainable Consumption and Production, Volume I

View full text Add to dashboard Cite

Abstract“Sustainable cities” as a singular concept may very well be a utopian vision impossible to realise in a broader sense. In this chapter, we review the literature on urban sustainability highlighting the complexities and trade-offs between and within the 3 Es—ecology, economy and equality. In particular, we focus here on the intra-urban dimensions of density, mobility, the built environment and housing, lifestyle trends and gentrification along with social sustainability issues of crime, homelessness and community. While gains from increased size and density can be had, there are also many outcomes that depend on urban morphology and the consequences of spatial sorting. Positive outcomes generated by density and efficiency may be offset by, for instance, less sustainable construction materials or increased income inequality. In particular, rebound effects are often overlooked. Hence, it often becomes an empirical issue whether the potential for sustainability gains materialise. Furthermore, as assessed from a more holistic 3 Es’ view, where social sustainability is as important as environmental sustainability, the potential of a “sustainable city” may be a victim of trade-offs that are difficult to resolve.

show abstract

The influencing factors and spatial spillover effects of CO2 emissions from transportation in China

Cited by 99 publications

References 46 publications

The Impact of the Freight Transport Modal Shift Policy on China’s Carbon Emissions Reduction

The Impact of the Freight Transport Modal Shift Policy on China’s Carbon Emissions Reduction

China’s Eco-Efficiency: Regional Differences and Influencing Factors Based on a Spatial Panel Data Approach

Urban Advantage? Sustainability Trade-Offs Across and Within the Intra-Urban Space

Contact Info

Product

Resources

About