Valuing water quality improvement in China: A case study of Lake Puzhehei in Yunnan Province

Even though surface water has been polluted almost everywhere in China, few economic valuation studies have been conducted to value water quality changes. This paper reports an economic valuation study conducted in Yunnan, China, which estimates the total value of a real investment project to improve the water quality of Lake Puzhehei by one grade level. Located in Qiubei County far from big cities, the lake has been experiencing rapid water quality deterioration in past several years. Based on the multiple bounded discrete choice approach, an average household in Qiubei County is estimated to be willing to pay 30 yuan per month continuously for 5 years for the water quality improvement by one grade level, roughly equivalent to 3% of the average household income. The elasticity of willingness-to-pay with respect to income is estimated to be 0.21. The economic rate of return of the proposed project is estimated to be 18%, indicating an economically favorable investment in water quality improvement. This study also demonstrates that the previous knowledge about the water quality changes and about the project can have significant positive impacts on people's willingness to pay, whereas the interviewer effect on valuation can be negative.     

Estimation of the public benefits of urban water supply improvements in Ethiopia: a choice experiment

Improving existing drinking water supply services in developing countries depends crucially on available financial resources. Cost recovery rates of these services are typically low, while demand for more reliable services is high and rapidly growing. Most stated preference-based demand studies in the developing world apply the contingent valuation method and focus on rural areas. This study examines household Willingness to Pay (WTP) for improved water supply services in a choice experiment in an urban area in Ethiopia, a country with the lowest water supply coverage in Sub-Saharan Africa. The design of the choice experiment allows estimation of the value of both drinking water supply reliability and safety. The estimated economic values can be used in policy appraisals of improved supply investment decisions. Despite significant income constraints, households are willing to pay up to 80% extra for improved levels of water supply over and above their current water bill. Women and households living in the poorest part of the city with the lowest service levels value the improvement of water quality most. As expected, also averting behaviour and expenditures play an important role.     

The Spatial Range of Public Goods Revealed Through Referendum Voting

Billions of dollars are now spent annually in the United States and Europe for spatially delineated environmental services such as agricultural landscape management and river restoration programs, yet little is known about the spatial distribution of the benefits from these policies. This paper develops a framework for recovering information on this question from the spatial pattern of votes cast for referenda on the provision of spatially delineated public goods. We specify a model linking voter support for environmental improvement to the distance at which such improvements are expected to occur. The empirical application is to a river restoration referendum in the Swiss canton of Bern. Our results indicate that the benefits from river restoration have a strong local component, sufficiently strong that voter approval would not occur if only canton-wide benefits were at stake. Surprisingly, support for river restoration is no greater, and in some specifications is actually lower, in locations where rivers are a prominent feature in the environment.     

Economic Value of Water Quality Improvement by One Grade Level in Erhai Lake: A Willingness-to-Pay Survey and a Benefit-Transfer Study

Water quality in China has seriously deteriorated in recent years. However, very few valuation studies have been conducted to estimate the monetary values associated with water quality changes. As a result, the decision makers can hardly make rational choices with regard to investments in water quality improvement. This paper presents a valuation study conducted in Dali, Yunnan Province, which aims to estimate the total economic value of improving the water quality of Erhai Lake by one grade level. Both the contingent valuation method and the benefit transfer approach are employed in this study. The contingent valuation estimation strategy reveals that, on average, a household located in Dali is willing to pay about 27 yuan per month continuously for 5 years for the water quality improvement, equivalent to 1.7% of the household monthly income. The elasticity of willingness-to-pay with respect to income is estimated to be 0.28. The internal rate of economic return of the proposed pollution control project is estimated to be 13%. The benefit transfer exercise produces a similar estimation on willingness to pay (WTP) values, with a difference of less than 2% compared with the contingent valuation approach. The results indicate the potential reliability of using the benefit transfer approach for valuation estimations in Chinese provinces.     

Spatially induced disparities in users' and non-users' WTP for water quality improvements—Testing the effect of multiple substitutes and distance decay

Costs and benefits of water restoration projects are not necessarily evenly spread out over the entire area affected by the project. The physical distribution of benefits is, therefore, an important parameter when conducting economic analyses of water restoration projects. Two particularly relevant spatial issues relate to 1) the location of the population relative to the location of the waterbody, and 2) the availability and characteristics of substitute water bodies.Based on a contingent valuation (CV) study of the demand for restoring Odense River in Denmark a spatial demand model which accounts for travel time both to the river subject for valuation and to potential substitute sites is estimated. It is concluded that the spatial distribution of benefits is unlikely to be homogeneously determined by a one-dimensional spatial model. Moreover, the results suggest that the effect of spatial issues on preferences varies between users and non-users. For non-users the spatial impacts from potential substitutes significantly reduce demand for improvements in Odense River. This indicates that focus on estimation of distance decay effects may be an important tool in relation to ensuring proper geographical delimitation of the population in a given context.     

The Effect of Gasoline Taxes and Public Transit Investments on Driving Patterns

This paper analyzes how driving patterns are affected by gasoline taxes and the availability of a substitute for driving—public transportation. We develop a measure of transportation substitutability based on the difference between individuals’ predicted commute times by private and public transit, conditional upon their demographic characteristics and geographic location. Improved substitutability decreases annual vehicle miles traveled (VMT) by inducing modal shifts to public transit, though gasoline taxes are found to have a much larger impact on VMT. Our results imply that a policy that raises gasoline taxes and recycles the revenues into public transit improvements can have even larger impacts on driving patterns than either policy alone.     

The Value of Household Water Service Quality in Lahore,Pakistan

Most existing literature focuses on the benefits of establishing basic drinking water access for unserved populations, the extensive water supply margin. In contrast, this article examines the intensive margin—the benefits of improving water service to under-served households, a growing population in developing country cities. We use contingent valuation to estimate willingness to pay (WTP) for improved piped water quality and reductions in supply interruptions among a sample of 193 households in Lahore, Pakistan. The distribution of WTP is described using parametric and non-parametric models. Results indicate that households in Lahore are willing to pay about 7.50 to7.50 to 9 per month for piped water supply that is clean and drinkable directly from the tap—comparable to the monthly cost of in-home water treatment, and about three to four times the average monthly water bill for sample households using piped water. Estimates of WTP for reducing supply interruptions are both smaller and more difficult to interpret, since a significant fraction of the estimated WTP distribution for supply improvements is negative. All of our WTP estimates are well below 4% of monthly household income, the World Bank’s benchmark upper bound for affordable water service.     

基于居民生活满意度的城市景观经济价值评价——以大连市为例

基于大连市的调研数据,利用生活满意度数据,探索了城市景观质量对居民效用的影响,进而使用有序Probit模型测算城市景观的经济价值。结果表明:城市景观质量对居民的生活满意度具有显著的正向影响;以十分制定位景观评价标准,每年每户居民对单位城市景观质量改善的意愿支付为26282元;相对于低收入群体,较高收入群体对城市景观质量的变化更为敏感;当城市景观质量实现由Ⅰ级向Ⅱ级的改善时,居民的支付意愿最强,可达到96807元;随着城市景观质量等级的升高,家庭的边际支付意愿明显下降,反映出处在较低质量景观状态中的居民具有更强烈的景观改善意愿。     

Spring cleaning: rural water impacts, valuation, and property rights institutions

Using a randomized evaluation in Kenya, we measure health impacts of spring protection, an investment that improves source water quality. We also estimate households' valuation of spring protection and simulate the welfare impacts of alternatives to the current system of common property rights in water, which limits incentives for private investment. Spring infrastructure investments reduce fecal contamination by 66%, but household water quality improves less, due to recontamination. Child diarrhea falls by one quarter. Travel-cost based revealed preference estimates of households' valuations are much smaller than both stated preference valuations and health planners' valuations, and are consistent with models in which the demand for health is highly income elastic. We estimate that private property norms would generate little additional investment while imposing large static costs due to above-marginal-cost pricing, private property would function better at higher income levels or under water scarcity, and alternative institutions could yield Pareto improvements.     

Development Without Industrialization? Household Well-Being and Premature Deindustrialization

The effect of premature deindustrialization on the distribution of gains from growth has thus far been understudied. Using census data from eleven countries spanning five decades and shift-share analysis, I find evidence of persistent gaps in multidimensional well-being in household categories defined by employment type and urban/rural location, and a cross-country pattern of less improvement due to expansion of industrial employment over time, without adequate replacement. Taken together, these results provide evidence for a negative relationship between improvements in household well-being and premature deindustrialization on both an individual country case and in a cross-country sample.     

The impact of oil prices on trade

This paper introduces an oil price–distance interaction variable in a gravity equation to explain how global trade behaves as a result of oil price changes. The findings are that as oil prices increase, international trade becomes more localized in that countries begin trading relatively more with their neighbors. In contrast, when they decrease, trade becomes more dispersed in that the distance between countries becomes less relevant. These results are highly significant across specifications, and the magnitude is not to be ignored. According to the full specification an oil price halving will make trade more dispersed by relatively increasing trade by 40% for a distance of 10,000 miles and by 25% for a distance of 1,000 miles.     

RETURNS PAID TO EARLY SOCIAL SECURITY COHORTS

Previous research generally concludes that early participants in the Social Security system received a very good "deal"—better than later participants received, and much better than future participants are likely to get. However, researchers do not know the values of those deals and their distribution across individuals and groups largely because the necessary data have not been available. The study here uses the Social Security Administration's 1988 Continuous Work History Sample (CWHS) to calculate early participants' real internal rates of return to contributions. The study analyzes sex, race, household type, income, and birth cohorts and employs new Census Bureau mortality projects to forecast more accurately how life expectancies and benefit streams vary by race as well as by sex and birth cohort .
Results contribute to an understanding of how the Social Security system redistributes income. All sample groups received high real rates of return. However, the returns varied widely by household type, income level, birth cohort, and other factors. The authors calculate that persons born from 1895 to 1922 received a total transfer of £3.5 trillion, of which £1.3 trillion remained to be paid as of 1988 .     

Valuing improved hurricane forecasts

The value to households of improved hurricane forecasts is estimated from a pilot survey using discrete choice econometric methods. Each household is willing to pay approximately $13 for improvements in forecast attributes such as landfall time and position, wind speed, and storm surge.     

EVALUATING THE COSTS,QUALITY, AND VALUE FOR MONEY OF INFRASTRUCTURE PUBLIC‐PRIVATE PARTNERSHIPS: A SYSTEMATIC LITERATURE REVIEW

Public?private partnerships (PPPs) are often promoted as a means to lower the costs and increase the quality and value for money (VfM) of public construction and infrastructure projects. While the increasing capital stock of PPPs warrants evaluation of their performance there has until now been limited systematic assessment of PPP versus conventional public procurement. This article contributes to the literature by presenting the findings of a systematic review of empirical peer‐reviewed studies comparing the costs, quality, and/or VfM of infrastructure PPP projects with conventional public procurement. The international literature suggests that PPPs are on average more costly and provide approximately similar VfM as conventional procurement. The number of empirical evaluations is limited, however, and evidence on the quality of infrastructure facilities is particularly scarce. While infrastructure PPPs continue to proliferate, systematic assessment of their performance is warranted to assist policy‐makers in choosing the procurement method that offers best value for taxpayers, users and society.     

Demand-side factors in optimal land conservation choice

The dominant paradigm of conservation-reserve planning in economics is to optimize the provision of physical conservation benefits given a budget constraint, implicitly assuming the value of biodiversity and ecosystem function is not affected by human proximity to that natural capital. There is evidence, however, that human willingness to pay (WTP) for conservation declines with distance—a phenomenon we call “spatial value decay”. This paper begins a new strand of the conservation planning literature that takes demand-side factors – location of people in the landscape, the degree to which WTP for conservation depends on proximity – into account. We use theoretical models of linear abstract landscapes to explore the impact of demand-side factors on two facets of conservation choices: siting of a single reserve when conservation potential is greatest near a critical site, and siting of multiple reserves when fragmentation reduces physical conservation services produced. Our results show how planners should sometimes employ increased fragmentation to capture value when people's preferences are not very highly localized, and how optimal policy balances proximity to the ecologically critical site with proximity to people. In some scenarios, the payoff to using a reserve design approach that considers demand-side factors is large, but we find that spatial value decay reduces the benefits that can be gained from any conservation-planning approach.     

Vehicle choices, miles driven, and pollution policies

Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure.     

Nursing and technology: a love/hate relationship

The fundamental value of information technology in clinical settings is no longer in question, as clinicians enter and retrieve information in order to deliver care and the benefit of ubiquitous availability to clinical data using computers cannot be overplayed. The question now is how to increase adoption, improve productivity, and support transformational changes in health care delivery. It is important to get the interplay between people, process, and technology right for successful implementations which support care transformation. We must lead projects with the clinical practice changes being enabled by the technology, and then ensure the technology supports the practice change. Nurse leaders must consider letting the quality improvement process drive and define when and how technology is used, running our projects as practice changes and not IT implementations, with nursing sponsors owning the projects and leading the charge.     

IMPROVING REVEALED PREFERENCE BOUNDS ON DEMAND RESPONSES*

There are three key dimensions by which revealed preference bounds on consumer demand responses can be improved. The first relates to the improvements that arise from using expansion paths for given relative prices, E‐bounds. The second concerns the addition of new price information. Thirdly, there are improvements due to assuming separability. Our previous research has examined the first two cases. In this article, we show how to impose separability assumptions within a fully nonparametric analysis and distinguish between weak and homothetic separability. We also apply these ideas to the analysis of demand responses using United Kingdom household level data.     

How much are electric vehicles driven?

The prospect for electric vehicles as a climate change solution hinges on their ability to reduce gasoline consumption. But this depends on how many miles electric vehicles are driven and on how many miles would have otherwise been driven in gasoline-powered vehicles. Using newly-available U.S. nationally representative data, this paper finds that electric vehicles are driven considerably fewer miles per year on average than gasoline-powered vehicles. The difference is highly statistically significant and holds for both all-electric and plug-in hybrid vehicles, for both single- and multiple-vehicle households, and both inside and outside California. The paper discusses potential explanations and policy implications. Overall, the evidence suggests that today’s electric vehicles imply smaller environmental benefits than previously believed.     

Marginal WTP and Distance Decay: The Role of ‘Protest’ and ‘True Zero’ Responses in the Economic Valuation of Recreational Water Quality

We evaluate the sensitivity of distance decay in individuals’ stated willingness to pay (WTP) for water quality improvements in eutrophied lakes. We extend the standard model of contingent valuation (CV) by allowing individuals to adopt a sequential evaluation process consisting of two decision stages. In the first stage respondents decide whether they are ‘protesters’, have a WTP   \(=\)   ‘true zero’ or a \(\hbox {WTP}>0\) . Conditioned on a strictly positive WTP, we use Lee’s selectivity-corrected model to determine the magnitude of their WTP in the second stage. Using CV survey data from Norway we find significant distance decay in the first stage classification of respondents as ‘protesters’, ‘true zero’ WTP, or positive WTP. In the second stage model for positive WTP responses, we find little or no significant relationships when correcting for selection. Results suggest that previous findings of significant distance decay in contingent valuation of lake and river water in Europe may be driven by the definition of ‘protest’ and ‘true zero’ respondents. We find that WTP for water quality may be more useful as a qualitative indicator of political support for user financed water quality measures, than as a cardinal measure of marginal utility of water quality improvements.