Estimating Recreation Preferences Using Hedonic Travel Cost and Random Utility Models

Over the last decade, several authors have questioned thevalidity of the hedonic travel cost model, arguing instead that the random utility model is a superior method forvaluing recreational site attributes. This paper demonstrates that the two methods emanate from a similar utilitytheoretic framework; yet in practice these methods differ in the assumptions made in their application.Constraining the underlying utility functions to be consistent, both models are applied to the valuation ofrecreational site attributes in the Southeastern United States. The way in which each method estimates preferencesfor site attributes is shown to depend critically on the method and the functional form of theunderlying utility function.     

Carl A. Zimring. Cash for Your Trash: Scrap Recycling in America. New Brunswick, NJ: Rutgers University Press, 2005. xi + 220 pp. ISBN 0-8135-3686-3, $39.95.

Paul Revere rode to Concord on a horse shod with shoes re-forgedfrom scrap iron. New York City’s Mayor, Michael Bloomberg,misstepped when he decided that residents would sort only thoserecyclables that actually had a market, rather than the beveragecontainers that went straight to the landfill. During the intervening226 years, Americans recycled for reasons of economy, and ontothat base we recently have grafted a goal of recycling to promoteenvironmental quality. Carl Zimring’s Cash For Your Trashlinks     

An analysis of crop choice: Adapting to climate change in South American farms

This paper explores how South American farmers adapt to climate by changing crops. We develop a multinomial logit model of farmer's choice of crops. Estimating the model across 949 farmers in seven countries, we find that both temperature and precipitation affect the crops that South American farmers choose. Farmers choose fruits and vegetables in warmer locations and wheat and potatoes in cooler locations. Farms in wetter locations are more likely to grow rice, fruits, potatoes, and squash and in dryer locations maize and wheat. Global warming will cause South American farmers to switch away from maize, wheat, and potatoes towards squash, fruits and vegetables. Predictions of the impact of climate change on net revenue must reflect not only changes in yields per crop but also crop switching.     

A Ricardian Analysis of the Distribution of Climate Change Impacts on Agriculture across Agro-Ecological Zones in Africa

This paper examines the distribution of climate change impacts across the sixteen Agro-Ecological Zones (AEZs) of Africa. We combine net revenue from livestock and crops and regress total net revenue on a set of climate, soil, and socio-economic variables with and without country fixed effects. Although African crop net revenue is very sensitive to climate change, combined livestock and crop net revenue is more climate resilient. With the hot and dry CCC climate scenario, average damage estimates reach 27% by 2100, but with the mild and wet PCM scenario, African farmers will benefit. The analysis of AEZs implies that the effects of climate change will be quite different across Africa. For example, currently productive areas such as dry/moist savannah are more vulnerable to climate change while currently less productive agricultural zones such as humid forest or sub-humid AEZs become more productive in the future. S. Niggol Seo is the Consultant to the World Bank.     

Will African Agriculture Survive Climate Change?

Measurement of the likely magnitude of the economic impact ofclimate change on African agriculture has been a challenge.Using data from a survey of more than 9,000 farmers across 11African countries, a cross-sectional approach estimates howfarm net revenues are affected by climate change compared withcurrent mean temperature. Revenues fall with warming for drylandcrops (temperature elasticity of –1.9) and livestock (–5.4),whereas revenues rise for irrigated crops (elasticity of 0.5),which are located in relatively cool parts of Africa and arebuffered by irrigation from the effects of warming. At first,warming has little net aggregate effect as the gains for irrigatedcrops offset the losses for dryland crops and livestock. Warming,however, will likely reduce dryland farm income immedia-tely.The final effects will also depend on changes in precipitation,because revenues from all farm types increase with precipitation.Because irrigated farms are less sensitive to climate, wherewater is available, irrigation is a practical adaptation toclimate change in Africa.     

The impact of climate change on China's agriculture

This article examines how expected changes in climate are likely to affect agriculture in China. The effects of temperature and precipitation on net crop revenues are analyzed using cross-sectional data consisting of both rainfed and irrigated farms. Based on survey data from 8,405 households across 28 provinces, the results suggest that global warming is likely to be harmful to rainfed farms but beneficial to irrigated farms. The net impacts will be only mildly harmful at first, but the damages will grow over time. The impacts also vary by region. Farms in the Southeast will only be mildly affected but farms in the Northeast and Northwest will bear the largest damages. However, the study does not capture the indirect effects on farms of possible changes in water flow, which may be important in China.     

The choice of functional forms for hedonic price equations: Comment

Rosen [13], Freeman [4], Halvorsen and Pollakowski [6], and others have stressed that economic theory does not suggest an appropriate functional form for hedonic price functions.¹ It consequently is reasonable to try several functional forms and utilize the multiple regression equation with the best performance. In this spirit, Halvorsen and Pollakowski [6] recommend using the Box-Cox flexible functional form for hedonic analysis and measuring best performance with a goodness of fit test. The Box-Cox methodology has also been adapted in hedonic studies by Goodman [5], Linneman [10], Blomquist and Worley [1], and Eberts and Gronberg [3].² The Box-Cox is particularly suited for testing functional forms because many familiar forms such as semilog, log linear, and translog are subsets of the flexible Box-Cox permitting nested hypothesis testing.In this note, we illustrate that the formal hypothesis testing advantage of the Box-Cox functional form is purchased at the expense of other important goals. The goal of most hedonic studies is to estimate the prices of the characteristics, to measure the response to changes in the prices, and/or to predict future expenditures. Using a best fit criterion to choose functional forms does not necessarily lead to more accurate estimates of characteristic prices. In fact, the large number of coefficients estimated with the Box-Cox functional form reduces the accuracy of any single coefficient which could lead to poorer estimates of specific prices. Second, because any negative number raised to a noninteger real power is imaginary, the traditional Box-Cox functional form is not suited to any data set containing negative numbers. Third, the Box-Cox functional form may be inappropriate for prediction. Since the mean predicted value of the untransformed dependent variable need not equal the mean of the sample upon which it is estimated, the predicted untransformed variable (housing value) will be biased. The predicted untransformed dependent variable may also be imaginary. Fourth, the nonlinear transformation results in complex estimates of slopes and elasticities which are often too cumbersome to use properly. We discuss each of these drawbacks and quantify them when possible in the remainder of this note.     

Empirical evidence on home improvements

Because expenditures for home improvements amount to almost one-half of expenditures for new construction, it seems quite likely that alterations and repairs by homeowners are important components of housing supply activities. This article explores one of the few comprehensive data sets available to provide some empirical evidence on home improvements. A general model of home improvements is also developed to help interpret the results.     

An Optimal Control Model of Forest Carbon Sequestration

This study develops an optimal control model of carbon sequestration and energy abatement to explore the potential role of forests in greenhouse gas mitigation. The article shows that if carbon accumulates in the atmosphere, the rental price for carbon sequestration should rise over time. From an empirical model, we find that carbon sequestration is costly, but that landowners can sequester substantial amounts of carbon in forests mainly by increasing forestland and lengthening rotations. Forest sequestration is predicted to account for about one-third of total carbon abatement. Tropical forests store over two-thirds of this added carbon.     

Australia’s foreign investment review board and the regulation of Chinese investment

Foreign investment has played an important role in the Australian economy since the country’s foundation. Part of the latest wave of foreign direct investment (FDI) in Australia has been by Chinese firms, and largely by state-owned enterprises with connections to the Chinese state. Despite the value it has generated for the Australian economy, Chinese FDI has been controversial and has exposed some of the shortcomings in Australia’s foreign investment review process. This article evaluates Australia’s foreign investment regime, and pays particular attention to the Foreign Investment Review Board (FIRB). Questions are asked about how closely the FIRB’s role and processes resemble regulatory best practice. The article also considers whether greater fidelity by the FIRB to principles of good governance could better serve Australia’s broad policy interests and reduce Chinese perceptions of an opaque and discriminatory foreign investment regime.