Durable goods produced by state owned enterprises

A two-period durable-goods monopoly model is analyzed where the durable good is provided by a state owned enterprise (SOE). First, we suppose that the SOE is under pressure to provide employment, and therefore has an employment goal, as well as the traditional profit and consumer surplus objectives. Assuming that the SOE has difficulty committing to current buyers with respect to its profit and employment motives, we find that as the employment burden increases, the SOE tends to move further away from the efficient durability and provides a lower durability level than a pure profit maximizer. Additionally, we show that a durable-goods SOE without commitment power, will wish to partially privatize to help mitigate its commitment problem with buyers and increase social welfare. Both of these findings provide economic rationale for the partial privatization of SOEs in transitioning economies that have not been identified in the literature prior to this.     

Effect of university heritage and reputation on attitudes of prospective students

• This study examines the impact of heritage and reputation of nonprofit universities on attitudes of prospective students. Data were collected from 208 community college (preuniversity) students in the USA. Results from structural equations modeling indicate that university heritage positively impacts university reputation, potential students' attitudes, and intentions to pay a tuition premium as well as to recommend the university. Students' nationality moderates the relationships between university heritage, reputation, and attitudes. International students from Asian nations with a long‐term orientation exhibit stronger relationships between these variables than domestic students from the USA. These findings add to the nascent and emerging literature on branding of nonprofit higher education institutions and will be of interest to administrators and marketing managers of universities to nurture and extol their university heritage in student recruitment programs, especially in promotional materials targeting international students.

Copyright © 2014 John Wiley & Sons, Ltd.     

HRM practices and organizational commitment profiles

In this study, we examined how employee perceptions of development-oriented, stability-oriented, and reward-oriented human resource management (HRM) practices affected the likelihood of affective and continuance commitment profile membership. Our focus on profiles of combined commitment components is a departure from a literature dominated by studies of the separate forms of employee commitment. Drawing from self-determination theory (Deci and Ryan 2000) we described the nature of the psychological states believed to underlie the specific profiles under investigation, then tested a series of theoretical predictions concerning the link between HRM practices and the likelihood of profile membership. Predictor and criterion data for this study were collected from 317 respondents working in a variety of Canadian-based organizations. Our findings suggest ways that organizations can use HRM practices strategically to help shape the nature of overall employee commitment.     

Note on the existence and modulus of continuity of the {\textit{SLE}}_8 curve

We review one method for estimating the modulus of continuity of a Schramm–Loewner evolution (SLE) curve in terms of the inverse Loewner map. Then we prove estimates about the distribution of the inverse Loewner map, which underpin the difficulty in bounding the modulus of continuity of SLE for $\kappa =8$ . The main idea in the proof of these estimates is applying the Girsanov theorem to reduce the problem to estimates about one-dimensional Brownian motion.     

Casinos,casino size,and crime: A panel data analysis of Michigan counties

Growth in legal gaming in the United States over the past quarter century or so is well-documented. One important factor fueling this growth was the passage of the Indian Gaming Regulatory Act of 1988, which permitted Native American tribes to establish, under agreements or “compacts” with the states in which they are located, casinos offering what is known as Class III gaming: slot machines, blackjack, roulette, and other games. Since the passage of the Act, there have been 21 Native American casinos established in Michigan. Also, three non-Native American casinos opened in Detroit in 1999 and 2000. This growth in the number of casinos has sparked a wide-ranging debate over the social and economic impacts of casino development.The purpose of this research is to focus on the crime issue in the broader casino debate. We investigate the impact of these Michigan casinos on the rates of burglary, robbery, larceny and motor vehicle theft (property crimes) in casino host counties as well as in nearby counties. We employ a panel data set with annual observations on all 83 Michigan counties for the period 1994–2010. The dataset includes crime rates taken from the FBI crime data series, variables for the presence of a casino in a county or in a nearby county, the scale of a casino's operations as measured by revenues, and a variety of control variables suggested by the broader literature investigating the factors that determine crime rates generally.Our results suggest that in most cases the property crime rates studied are not affected by the presence or size of a casino in a county or in a nearby county. The largest such impact, which is negative, is for motor vehicle theft. The size of a casino does have a small positive effect on the motor vehicle theft rate.     

COMMENT ON "THE IRREDUCIBLE ROLE OF DERIVED MARGINAL UTILITY IN DYNAMIC STOCHASTIC PROGRAMMING"

This comment shows why the Lagrange method can be simpler than dynamic programming in solving dynamic optimization problems.     

Socioeconomic predictors of forest use values in the Peruvian Amazon: A potential tool for biodiversity conservation

Conservation is a crisis discipline requiring rapid action with limited funds. This study examines the potential of socioeconomic variables to predict forest use values. If natural resource use can be predicted from socioeconomic data, conservation planners could rapidly identify and focus conservation programs on the sectors of local populations that most intensively utilize local flora and fauna. Families in three communities in the northern Peruvian Amazon were surveyed over a 6-month period. Data were collected on use of flora and fauna from six locally determined use categories (food, medicine and poisons, wood, weavings, adornments, and “other”) in forest types of three age classes (fallow fields—very young forests, young secondary forests, and old secondary forests). Forest use values were the dependant variables calculated in $/ha/year. Socioeconomic variables included: age, education, family size, residence time, land worked, land owned, number of fishing nets, chickens, pigs, cows, and/or mules owned (all proxies for productive assets), and level of ecological knowledge (ability of informants to correctly identify forest species and answer basic questions about their biology). Ordinary least square multiple regressions were run independently for each forest type. Regressions were also run separately for the two most valuable use categories, food and wood. Low R² adjusted values (all < 0.3) reflect the difficulty in predicting human behavior due to confounding variables and complex interactions. Residence time and a household's community of residence were the most significant predictors of forest use values. Households in Vista Alegre, the community with the highest density of people and smallest landholdings per household, extracted the highest value of forest products per hectare. The longer a family stayed in any community the higher the value of forest goods they extracted. If families that lived in an area longest are the most intensive extractors of forest products, they should be a major focus for conservation programming. In addition, the higher value of products extracted from forests by some families may make them more open to strategies seeking to protect long-term viability of the resources they utilize. The importance of residence time also indicates that planners need to account for changes in the resource use patterns of stakeholders over time.     

Rates of Return to Schooling in China

This study uses data from a 1988 survey of Chinese individuals to estimate rates of return to schooling in China. The Mincer-type rate of return to schooling was estimated at 4.02 percent in the rural areas and 3.29 percent in the urban areas; these are fairly low estimates compared with similar estimates in other countries. The rate of return to schooling for females was significantly higher than that for males in urban areas. In addition, members of the Communist Party in urban areas had significantly lower returns to schooling compared with non-members.     

Housing Prices in Urban China as Determined by Demand and Supply

This paper studies the demand for and supply of residential housing in urban China since the late 1980s when the urban housing market became commercialized. Using aggregated annual data from 1987 to 2012 in a simultaneous equations framework we show that the rapid increase in the urban residential housing price can be well explained by the forces of demand and supply, with income determining demand and cost of construction affecting supply. We find the income elasticity of demand for urban housing to be approximately 1, the price elasticity of demand to be approximately ?1.1 and the price elasticity of supply of the total housing stock to be approximately 0.5. The resulting long‐run effect of income on urban housing prices in elasticity terms is approximately 0.7, because the increase in income has shifted the demand curve outward more rapidly than the supply curve.