Singapore's experience with car quotas

Phang, Sock-Yong; Wong, Wing-Keung; Chia, Ngee-Choon

doi:10.1016/s0967-070x(96)00025-x

Cited by 39 publications

(20 citation statements)

References 2 publications

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“…Phang et al's (1996) review of Singapore's car quota policy and implementation indicates that it achieved its goals: absolute certainty in the numbers of cars; and improving the quality of cars imported. However, Phang notes that the policy suffered from unintended consequences -including speculative activities -that caused significant public concern.…”

Section: Experiences From Singaporementioning

confidence: 99%

“…Respondents' perceptions of equity in the private vehicle auction are consistently negative: most respondents said that the policy is unfair and makes roads and cars available only to the wealthy. Singapore categorises vehicles by capacity (Phang, 1996), but Shanghai treats all vehicles the same. 71% of respondents indicate that this is unfair because it pits people who can only afford a cheap vehicle against those who can afford a luxury vehicle.…”

Section: Equity In Private Vehicle Auction Policymentioning

confidence: 99%

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Bidding to drive: Car license auction policy in Shanghai and its public acceptance

Chen

Zhao

2013

Transport Policy

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Section: Experiences From Singaporementioning

confidence: 99%

Section: Equity In Private Vehicle Auction Policymentioning

confidence: 99%

Bidding to drive: Car license auction policy in Shanghai and its public acceptance

Chen

Zhao

2013

Transport Policy

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“…This has effectively neutralised the Government's fiscal restraints on automobile ownership (Phang, 1993;Koh and Lee, 1994;Phang et al, 1996;Chin and Smith, 1996;Goh, 2002). In 1989, the license concessions for car-pooling were also scrapped (Phang, 1993;Seik, 1997) and this has contributed to the increased vkt in 1990 ( Figure 3).…”

Section: Case Study -Singaporementioning

confidence: 99%

Trends in vehicle kilometres of travel in world cities, 1960–1990: underlying drivers and policy responses

2004

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Increases in private motorised urban vehicle kilometres of travel are shown to arise from population growth, urban sprawl, increased car ownership and decreases in vehicle occupancy. In particular, the worldwide increase in urban mobility since 1960 has been the direct result of increased affluence and the consequent greater accessibility of private motor vehicles, as well as population growth. Urban sprawl has significantly less influence, although it has been significant in USA, Canadian and Australian cities. Despite this, a number of cities have shown that clear policy initiatives can contain the growth of urban private motorised mobility.

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“…Moreover, the timing of government policies relating to the use of compulsory savings for private housing finance purposes, the liberalisation of rules on public housing ownership criterion and for housing finance had significant impacts on private housing prices. Phang, Wong, and Chia (1996) examine the policy processes behind Singapore's car quotas. The policy, when filtered through the market mechanism, had a number of unintended consequences.…”

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confidence: 99%

Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections

2018

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This paper provides a review of some connecting literature in Decision Sciences, Economics, Finance, Business, Computing, and Big Data. We then discuss some research that is related to the six cognate disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models. Moreover, they could then conduct simulations to examine whether the estimators or statistics in the new theories on estimation and hypothesis have small size and high power. Thereafter, academics and practitioners could then apply their theories to analyze interesting problems and issues in the six disciplines and other cognate areas. KeywordsDecision sciences, economics, finance, business, computing, and big data, theoretical models, econometric and statistical models, applications. JEL Classification AbstractThis paper provides a review of some connecting literature in Decision Sciences, Economics, Finance, Business, Computing, and Big Data. We then discuss some research that is related to the six cognate disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models. Moreover, they could then conduct simulations to examine whether the estimators or statistics in the new theories on estimation and hypothesis have small size and high power. Thereafter, academics and practitioners could then apply their theories to analyze interesting problems and issues in the six disciplines and other cognate areas.

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Singapore's experience with car quotas

Cited by 39 publications

References 2 publications

Bidding to drive: Car license auction policy in Shanghai and its public acceptance

Bidding to drive: Car license auction policy in Shanghai and its public acceptance

Trends in vehicle kilometres of travel in world cities, 1960–1990: underlying drivers and policy responses

Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections

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