Do farmers or governments make better land conservation choices? Evidence from China's Sloping Land Conversion Program

In developing countries with small holdings, targeting payments-for-environmental-services prices to site-specific environmental benefits becomes administratively impractical. Instead, governments fix price and either dictate parcel enrollment or let farmers decide, which might be expected to maximize environmental benefits and minimize opportunity costs, respectively. No paper has actually tested such hypotheses in a developing-country setting. This paper examines China's Sloping Land Conversion Program, with 32 million planting forests, using a unique dataset on 3397 parcels, including farmer-choice and government-choice parcels. Farmers consider similar criteria to local governments but weight land characteristics within the farm (not the landscape) and household characteristics.     

Local cuisines and destination marketing: cases of three cities in Shandong,China

This study analyzes how the three cities of Jinan, Qingdao, and Qufu in Shandong Province of China use their cuisines in promoting their destinations. Based on a critical review of previous studies, a conceptual framework was developed, which included five closely related areas: foods, beverages, dining, farming, and food festivals. All related texts, images, videos, brochures, booklets, and websites designed to market these three cities were content-analyzed. The study findings suggest that all the three cities have not yet fully utilized their cuisines in their destination marketing efforts. Although some of their culinary resources appear in their marketing materials, the local cuisines of these three cities are not yet skillfully integrated into their marketing efforts. The present study offers specific theoretical and practical implications on marketing the culinary resources of destinations that are in the early stages of their development.     

Contract selection and performance in competitive bidding for electricity generation

Third parties bidding to supply utilities with electric generation facilities is a new and increasingly important practice. Six states have either establishes bidding programmes or are considering doing so. The paper uses data from Maine, the first state to use electric generation bidding, to examine which bids are awarded contracts, and which contracts fail to fulfill their provisions. Results show that bid price plays a very small role, if any, in the selection process.     

Estimation employing a priori information within mass appraisal and hedonic pricing models

Both statistical appraisal and hedonic pricing models decompose houses into a set of individual characteristics. Regression estimates yield the contribution of each characteristic to total value. Unfortunately, straightforward application of OLS may produce untenable results such as implausible coefficient magnitudes or incorrect signs. Often the suspected cause is multicollinearity. This article examines the effect on estimation efficiency of differing levels of multicollinearity, R², and a priori information in the form of sub-market cost data, by comparing inequality restricted least squares (IRLS) with OLS in a series of Monte Carlo experiments. The IRLS procedure investigated here hybridizes the statistical market approach implemented by OLS, and the more traditional cost approach. The experiments show dramatic gains in estimation efficiency from exploiting a priori information through IRLS.     

Housing-Price Cycles and Prepayment Rates of U.S. Mortgage Pools

Empirical mortgage prepayment models generally have trouble explaining differences in mortgage-prepayment speeds among pools with similar interest rates on the underlying mortgages. In this article, we model some of the sources of termination heterogeneity across mortgage pools, particularly the role of regional variations in housing prices in generating atypical prepayment speeds. Using a sample of Freddie Mac mortgage pools from 1991 to 1998, we compare two classes of empirical models: a rational option-pricing model using a backward-solving pricing algorithm and an empirical hazard model. In both empirical estimation strategies, we find evidence that differences in house-price dynamics across regions are an important source of between-pool heterogeneity. This finding is then shown to be robust to alternative ways of parameterizing pool heterogeneity in mortgage termination models.     

The role of numeric and statistical content on risk perception in infographics about road safety

Abstract

Numbers saturate news coverage and health and risk messaging. But as our expertise in the creation of statistical information increases, the ability to use those statistics in decision making remains frustratingly inadequate. There has been a wealth of research related to how to train people to better use the numbers they interact with on a daily basis. Far less research, however, explores the appropriate way to use numbers in communication. Two experiments explored the role of numbers in risk communication infographics related to road safety while driving. Experiment 1 found that the presence of numbers influence risk perception, but whether those numbers reflect accurate statistics or random numbers does not change their influence. Experiment 2 found that removing all statistics entirely from infographics and replacing them with linguistic gist representations of the numbers (i.e. words like ‘some’, ‘many’, ‘none’) increased risk perception even though people found the infographics to be less informative than the ones containing numbers. The results suggest that the gist representations of the numbers in the context of the infographics are equivalent regardless of their value, such that the very presence of statistics influences judgment and risk perception but not their meaning. They also suggest that people do not always realize how they are using statistical information in their judgement and decision making process.     

Faster Implied Volatilities via the Implicit Function Theorem

We present a faster, more accurate technique for estimating implied volatility using the standard partial derivatives of the Black‐Scholes option‐pricing formula. Beside Newton‐Raphson and slower approximation methods, this technique is the first to provide an error tolerance, which is essential for practical application. All existing noniterative approximation methods do not provide error tolerances and have the potential for large errors.     

Workplace chaplains: filling a need traditional EAPs can't meet

More organizations are finding secular counseling provided by employee assistance programs (EAPs) is inadequate for many employees. As a result, increasing numbers of employers are providing services of workplace chaplains. Chaplain services are not necessarily part of the recent fad toward "spirituality" in organizations, but rather address the needs of an increasingly non-churchgoing culture living in a more stressful world.