Welfare Analysis of the Vehicle Quota System in China

Xiao, Junji; Zhou, Xiaolan; Hu, Wei

doi:10.1111/iere.12229

Cited by 42 publications

(34 citation statements)

References 50 publications

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“…Here we provide a possible explanation. Most households in China use their savings to purchase a vehicle (Xiao et al, 2016). Households who do not win the lottery can set aside additional money for vehicle purchase each period.…”

Section: Impact On Fleet Compositionmentioning

confidence: 99%

“…A steady increase in vehicle ownership and usage worldwide has been accompanied by tremendous increase in energy consumption, severe air pollution, and health concerns in many cities around the world, especially in developing countries (Economist Intelligence Unit, 2010;Xiao et al, 2016). Examining the effectiveness of vehicle policies to reduce fuel consumption and air pollution in emerging markets is increasingly important for at least three reasons.…”

Section: Introductionmentioning

confidence: 99%

“…Related literature. Our paper is related to studies by Xiao and Zhou (2013), Xiao et al (2016) and Li (2015), who analyze vehicle quota systems in China. Xiao and Zhou (2013) examine the impacts of Shanghai's vehicle auction system on vehicle control, fleet efficiency, gas consumption and pollutant emissions.…”

Section: Introductionmentioning

confidence: 99%

“…Xiao and Zhou (2013) examine the impacts of Shanghai's vehicle auction system on vehicle control, fleet efficiency, gas consumption and pollutant emissions. Further, Xiao et al (2016) investigate the influence of the auction system on the market structure in Shanghai. Our work differs in two ways.…”

Section: Introductionmentioning

confidence: 99%

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Effective or Efficient? Effects of Beijing's Vehicle Lottery System on Fleet Composition and Environment

Yang,

Munoz-Garcia,

Tang

2017

SSRN Journal

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To control vehicle growth and air pollution, Beijing's municipal government imposed a vehicle lottery system in 2011, which randomly allocated a quota of licenses to potential buyers. This paper investigates the effect of this policy on fleet composition, fuel consumption, air pollution, and social welfare. Using car registration data, we estimate a random coefficient discrete choice model and conduct counterfactual analysis based on the estimated parameters. We find that the lottery reduced new passenger vehicle * We gratefully acknowledge the kind help and constructive comments of Professors

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Section: Impact On Fleet Compositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effective or Efficient? Effects of Beijing's Vehicle Lottery System on Fleet Composition and Environment

Yang,

Munoz-Garcia,

Tang

2017

SSRN Journal

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“…Xiao et al. () find that the vehicle quota system in Shanghai has reduced negative externality of vehicle consumption for over CNY 11 billion.…”

mentioning

confidence: 99%

Auction–lottery Hybrid Mechanisms: Structural Model and Empirical Analysis

Huang

Wen

2018

Int Economic Review

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This article studies an auction-lottery hybrid mechanism that is widely adopted in allocating new vehicle licenses in China. We characterize individuals' entry and bidding strategies in a symmetric Bayesian Nash equilibrium, structurally estimate individuals' value distribution from a data set of a Guangzhou program, and evaluate the performance of the mechanism. Based on the estimated distribution and counterfactual analysis, our study suggests that a hybrid mechanism preserves 83% efficiency and 52% of revenue, while it improves equity by 25 times compared to a pure auction. We show that allowing auction losers to participate in the lottery can further enhance the performance. * Manuscript . 2 Xiao et al. (2017) find that the vehicle quota system in Shanghai has reduced negative externality of vehicle consumption for over CNY 11 billion. 355 C (2018) by the

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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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Welfare Analysis of the Vehicle Quota System in China

Cited by 42 publications

References 50 publications

Effective or Efficient? Effects of Beijing's Vehicle Lottery System on Fleet Composition and Environment

Effective or Efficient? Effects of Beijing's Vehicle Lottery System on Fleet Composition and Environment

Auction–lottery Hybrid Mechanisms: Structural Model and Empirical Analysis

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

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