An empirical study of direct rebound effect for passenger transport in urban China

Wang, H.; Zhou, P.; Zhou, Dequn

doi:10.1016/j.eneco.2011.09.010

Cited by 129 publications

(50 citation statements)

References 32 publications

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“…Using panel data on U.S. states, Hymel and Small confirm the earlier finding of a rebound effect that declines in magnitude with income, but they also find an upward shift in its magnitude of about 0.025 during the years 2003-2009 [26]. Some studies also estimate the direct rebound effect for passenger transport in China [27,28]. Although all the current studies conclude that the rebound effect exists in fuel consumption for the transport sector, the range of the magnitude is very different.…”

Section: Introductionsupporting

confidence: 66%

“…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: Discussioncontrasting

confidence: 39%

“…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: 87%

“…However, their results are very different from each other. Based on the data of 28 provinces during 1994-2009, Wang et al find that the average rebound effect for passenger transport by urban households is around 96% by employing the LA-AIDS model [27]. 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].…”

Section: Discussionmentioning

confidence: 99%

“…Although all the current studies conclude that the rebound effect exists in fuel consumption for the transport sector, the range of the magnitude is very different. For example, Wang et al estimate the direct rebound effect for passenger transport in urban China, finding that the average rebound effect for passenger transport by urban households is around 96% [27]. Zhang et al reveal that the short-term and long-term direct rebound effects of the whole country are 25.53% and 26.56% on average, respectively [28].…”

Section: Introductionmentioning

confidence: 99%

See 4 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

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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.

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Section: Introductionsupporting

confidence: 66%

“…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: Discussioncontrasting

confidence: 39%

Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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

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Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Malhotra

White

Cruz³

et al. 2021

Campbell Systematic Reviews

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Background There are great disparities in the quantity and quality of infrastructure. European countries such as Denmark, Germany, Switzerland, and the UK have close to 200 km of road per 100 km2, and the Netherlands over 300 km per 100 km2. By contrast, Kenya and Indonesia have <30, Laos and Morocco <20, Tanzania and Bolivia <10, and Mauritania only 1 km per 100 km2. As these figures show, there is a significant backlog of transport infrastructure investment in both rural and urban areas, especially in sub‐Saharan Africa. This situation is often exacerbated by weak governance and an inadequate regulatory framework with poor enforcement which lead to high costs and defective construction. The wellbeing of many poor people is constrained by lack of transport, which is called “transport poverty”. Lucas et al. suggest that up to 90% of the world's population are transport poor when defined as meeting at least one of the following criteria: (1) lack of available suitable transport, (2) lack of transport to necessary destinations, (3) cost of necessary transport puts household below the income poverty line, (4) excessive travel time, or (5) unsafe or unhealthy travel conditions. Objectives The aim of this evidence and gap map (EGM) is to identify, map, and describe existing evidence from studies reporting the quantitative effects of transport sector interventions related to all means of transport (roads, rail, trams and monorail, ports, shipping, and inland waterways, and air transport). Methods The intervention framework of this EGM reframes Berg et al's three categories (infrastructure, prices, and regulations) broadly as infrastructure, incentives, and institutions as subcategories for each intervention category which are each mode of transport (road, rail trams and monorail, ports, shipping, and inlands waterways, and air transport). This EGM identifies the area where intervention studies have been conducted as well as the current gaps in the evidence base. This EGM includes ongoing and completed impact evaluations and systematic reviews (SRs) of the effectiveness of transport sector interventions. This is a map of effectiveness studies (impact evaluations). The impact evaluations include experimental designs, nonexperimental designs, and regression designs. We have not included the before versus after studies and qualitative studies in this map. The search strategies included both academic and grey literature search on organisational websites, bibliographic searches and hand search of journals. An EGM is a table or matrix which provides a visual presentation of the evidence in a particular sector or a subsector. The map is presented as a matrix in which rows are intervention categories (e.g., roads) and subcategories (e.g., infrastructure) and the column outcome domains (e.g., environment) and subcategories as (e.g., air quality). Each cell contains studies of the corresponding intervention for the relevant outcome, with links to the available studies. Included studies were coded according to the interve...

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The “energy rebound effect” within the framework of environmental sustainability

Özsoy

2024

WIREs Energy & Environment

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The energy rebound effect, characterized by increasing energy use despite enhanced efficiency, has emerged as a complex interdisciplinary topic in the literature, reflecting its significance in both production and consumption sustainability. Recognizing the pivotal role of academic research in shaping energy management strategies and policies, this study conducted a comprehensive bibliometric review, accessing 530 articles from major citation indexes. This analysis provides insights into the evolution of the energy rebound field and potential future directions. Understanding the existing literature on the rebound effect serves as a valuable foundation for forthcoming research endeavors, addressing the intricate challenge of reconciling energy efficiency with sustainable energy consumption and production. The review explores the extensive literature on the energy rebound effect, highlighting a predominant focus on residential (e.g., cooling, heating, lighting, transportation) and industrial energy consumption in the majority of studies. Empirical applications primarily emphasize the measurement of the energy rebound effect, with a notable trend of increasing research concentration in China in recent years. Additionally, there is a growing body of economy‐wide analyses in this field. However, the literature exhibits complexity in both the analyses conducted and the methods employed for measuring the rebound effect. Research gaps are apparent, numerous studies tend to concentrate solely on the rebound effect at the overall energy consumption level, neglecting variations in energy types and the behavioral patterns of economic actors. Furthermore, despite consistent findings of a higher rebound effect in developing nations, there is a noticeable lack of scholarly literature addressing this issue about these countries.This article is categorized under: Sustainable Energy > Energy Efficiency Human and Social Dimensions > Behavioral Science Policy and Economics > Governance and Regulation

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An empirical study of direct rebound effect for passenger transport in urban China

Cited by 129 publications

References 32 publications

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

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

Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

The “energy rebound effect” within the framework of environmental sustainability

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