Showing papers by "Maureen L. Cropper published in 2006"

The Value of Mortality Risk Reductions in Delhi, India

Abstract: The authors interviewed commuters in Delhi, India, asking them to report their willingness to pay (WTP) to reduce their risk of dying in road traffic accidents in each of three scenarios that mirror the circumstances under which the majority of the road fatalities in Delhi occur. The WTP responses are internally valid, in the sense that WTP increases with the size of the risk reduction, income, and exposure to road traffic risks, as measured by length of commute and whether the respondent drives a two-wheeler. As a result, the value of a statistical life (VSL) is individuated - that is, it varies across groups of beneficiaries. For the most likely beneficiaries of road safety programs - the most highly exposed individuals - the VSL is about 150,000 PPP$.

The value of mortality risk reductions in Delhi, India

Abstract: We interviewed commuters in Delhi, India, to estimate their willingness to pay (WTP) to reduce their risk of dying in road traffic accidents in three scenarios that mirror the circumstances under which traffic fatalities occur in Delhi. The WTP responses are internally valid: WTP increases with the size of the risk reduction, income, and exposure to road traffic risks, as measured by length of commute and whether the respondent drives a motorcycle. As a result, the value of a statistical life (VSL) varies across groups of beneficiaries. For the most highly-exposed individuals the VSL is about 150,000 Purchasing Power Parity (PPP) dollars.

Willingness to Pay for Mortality Risk Reductions: Does Latency Matter?

Abstract: Using results from two contingent valuation surveys conducted in Canada and the U.S., we explore the effect of a latency period on willingness to pay (WTP) for reduced mortality risk using a structural model. We find that delaying the time at which the risk reduction occurs by 10 to 30 years reduces WTP by more than 60% for respondents in both samples aged 40 to 60 years. The implicit discount rates are equal to 3.0–8.6% for Canada and 1.3–5.6% for the U.S.

The impact of policies to control motor vehicle emissions in Mumbai, India

Abstract: This paper examines the impact of measures to reduce emissions from passenger transport, specifically buses, cars, and two-wheelers in Mumbai. These include converting diesel buses to compressed natural gas (CNG), as the Indian Supreme Court required in Delhi, which would necessitate an increase in bus fares to cover the cost of pollution controls. The authors model an increase in the price of gasoline, which should affect the ownership and use of cars and two-wheelers, as well as imposing a license fee on cars to retard growth in car ownership. The impact of each policy on emissions depends not only on how the policy affects the mode that is regulated, but on shifts to other modes. The results suggest that the most effective policy to reduce emissions from passenger vehicles-in terms of the total number of tons of PM10 (particulate matter that measure less than or equal to 10 micrometers in aerodynamic diameter) reduced-is to convert diesel buses to CNG. The conversion of 3,391 diesel buses to CNG would result in an emissions reduction of 663 tons of PM10 a year, 14 percent of total emissions from transport. The bus conversion program passes the cost-benefit test. In contrast, the results suggest the elasticities of emissions from transport with respect to a gasoline tax and a tax on vehicle ownership are -0.04 and -0.10 respectively. As a consequence, it would take substantial increases in the gasoline tax or vehicle ownership tax to produce reductions in emissions similar to the bus conversion program. These results, however, reflect the low shares of cars and two-wheelers in the Mumbai emissions inventory and need not apply to cities, such as Delhi, where these shares are higher.

The welfare effects of slum improvement programs : the case of Mumbai

Abstract: The authors compare the welfare effects of in situ slum upgrading programs with programs that provide slum dwellers with better housing in a new location. Evaluating the welfare effects of slum upgrading and resettlement programs requires estimating models of residential location choice, in which households trade off commuting costs against the cost and attributes of the housing they consume, including neighborhood attributes. The authors accomplish this using data for 5,000 households in Mumbai, a city in which 40 percent of the population live in slums. The precise welfare effects of resettlement programs depend on assumptions made about the ease with which workers can change jobs and also on the ethnic characteristics of neighborhoods in which new housing is located. To illustrate this point the authors consider a realistic slum upgrading program that could be offered to residents in their sample living in east Mumbai. They summarize the effects of job opportunities and neighborhood composition on welfare by mapping how compensating variation for the program changes depending on where in Mumbai improved housing is located. If program beneficiaries continue working in their original job, the set of welfare-enhancing locations for the upgrading program is small. The set increases greatly if it is assumed that workers can change jobs. The benefits of this program are contrasted with the benefits of in situ housing improvements.

The Demand for Insecticide-Treated Mosquito Nets: Evidence from Africa

Abstract: The Handbook on Contingent Valuation is unique in that it focuses on contingent valuation as a method for evaluating environmental change. It examines econometric issues, conceptual underpinnings, implementation issues as well as alternatives to contingent valuation. Anna Alberini and James Kahn have compiled a comprehensive and original reference volume containing invaluable case studies that demonstrate the implementation of contingent valuation in a wide variety of applications. Chapters include those on the history of contingent valuation, a practical guide to its implementation, the use of experimental approaches, an ecological economics perspective on contingent valuation and approaches for developing nations.

The welfare effects of slum improvement programs: the case of Mumbai

Abstract: The authors compare the welfare effects of in situ slum upgrading programs with programs that provide slum dwellers with better housing in a new location. Evaluating the welfare effects of slum upgrading and resettlement programs requires estimating models of residential location choice, in which households trade off commuting costs against the cost and attributes of the housing they consume, including neighborhood attributes. The authors accomplish this using data for 5,000 households in Mumbai, a city in which 40 percent of the population live in slums. The precise welfare effects of resettlement programs depend on assumptions made about the ease with which workers can change jobs and also on the ethnic characteristics of neighborhoods in which new housing is located. To illustrate this point the authors consider a realistic slum upgrading program that could be offered to residents in their sample living in east Mumbai. They summarize the effects of job opportunities and neighborhood composition on welfare by mapping how compensating variation for the program changes depending on where in Mumbai improved housing is located. If program beneficiaries continue working in their original job, the set of welfare-enhancing locations for the upgrading program is small. The set increases greatly if it is assumed that workers can change jobs. The benefits of this program are contrasted with the benefits of in situ housing improvements.