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.     

中国工业R＆D投入的影响因素

本文运用中国工业面板数据,实证研究了企业规模、产权结构等因素对R＆D投入的影响。研究发现,企业销售收入对R＆D支出有显著正影响,企业员工数量对R＆D支出和R＆D人数均没有显著影响,这意味着熊彼特假说依赖于企业规模和创新变量的设定;国有产权对R＆D人数有显著正影响,但对R＆D支出没有显著影响,这可能表明国有企业在R＆D资源配置上存在着某种扭曲。研究还发现,政府资助对激励企业R＆D投入有重要作用。     

Growth-focused or profit-focused firms: Transitions toward profitable growth

Profitable growth is the most desirable state tourism and hospitality firm managers can hope to achieve. In reality, however, it is not easy for a tourism and hospitality firm to consistently grow and accumulate profits. In order to achieve profitable growth, some firms focus on sales growth while victimizing profits, while others concentrate on profits and hold off on growth. To better understand these strategies, this study investigated the growth state, profit state and transitions of restaurant firms. The findings of this study supported that profit-focused firms are more likely to achieve profitable growth than growth-focused firms. In addition, growth-focused firms with low liquidity had a higher likelihood of transitioning to a state of low growth and low profit in the short-term, and this liquidity effect was more serious for small firms in terms of long-term performance. Further, when profit-focused firms had few growth opportunities, large free cash flows increased the likelihood of transitioning to a state of low growth and low profit in the short-term. More detailed results are provided in this paper.     

应用Microsoft Excel软件计算渐开线圆柱齿轮尺寸的研究

为了快速、准确地计算渐开线圆柱齿轮的几何尺寸和测量尺寸公法线长度或者圆棒跨距,在没有齿轮设计软件的情况下,文章对应用Excel表来计算的方法进行了研究,其计算速度比用一般函数计算器提高数百倍,大大提高了齿轮设计人员和工艺人员的工作效率。     

宗地规模、城市类型与土地出让溢价——基于70个大中城市住宅用地出让数据的实证分析

研究目的:确定住宅用地出让溢价率水平与宗地规模之间的关系,比较不同规模和区位城市中这一关系的差异。研究方法:理论分析,面板数据分析。研究结果:总体上宗地规模对土地溢价率的影响呈现"倒U"型变化关系,不同规模和区位城市中这一关系有差异。人口介于500万～1 000万之间的特大城市中土地溢价水平受宗地规模的影响较为强烈,东部和中部城市中宗地规模大小对土地溢价水平影响显著,西部城市不显著。研究结论:地方政府在总量既定条件下调整宗地投放规模可在一定程度上调控土地溢价率。     

From passenger growth to aircraft movements

Airlines are able to deal with passenger growth by either increasing the frequency or the aircraft size, which may entail different numbers of aircraft movements. Forecasting the latter is necessary for evaluating technologies, approaching future emissions or anticipating capacity constraints. Purpose of this paper is to forecast a typical fleet mix and the growth of aircraft movements on flight segments worldwide based on an assumed passenger growth. The methodology is implemented in a model called Forecast of Aircraft Movements. Basic approach is the assignment of each flight segment worldwide to a distance, passenger number and aircraft category. For each combination of distance and passenger numbers a typical fleet mix is defined. The forecasted worldwide growth of passenger demand and the empirically determined fleet mix is applied to all segments in order to derive a future scenario. Assuming a certain seat load factor, the frequency growth can be deduced from the aircraft movements generated for all segments. The paper includes a forecast for aircraft movements in a future scenario based on real schedule and passenger data and gives a detailed overview of the methodology and results considering airlines' behaviour.     

Economies of traffic density and scale in the integrated air cargo industry: The cost structures of FedEx Express and UPS Airlines

This paper examines the cost structures of the leading integrated air cargo carriers, FedEx Express and UPS Airlines. A total cost model is estimated for the two carriers using quarterly data on domestic operations and costs over a nine-year period (2003–2011). The estimated model indicates that the integrated industry exhibits increasing returns to traffic density and constant returns to scale. Accounting for carrier-specific differences in cost structure and network size, FedEx Express is found to be more cost-efficient than UPS Airlines. Looking at the carriers individually, UPS Airlines exhibits substantial economies of traffic density and constant returns to scale while FedEx Express' cost structure is characterized by weak economies of density and constant returns to scale. The combined effect of returns to density and returns to scale on the cost structures of integrated carriers is captured by economies of size. Both FedEx Express and UPS Airlines exhibit economies of size, indicating that carriers in the integrated industry can be more cost efficient by making appropriate adjustments to their network size as their output grows. Moreover, the relative cost-efficiencies of the carriers are reversed when their network-size differences are not controlled.     

Unobserved firm heterogeneity and the size-exports nexus: Evidence from German panel data

This paper starts from the stylized fact that firm size and exporting tends to be positively related. Using large sets of establishment panel data for three different industries from official statistics, evidence is presented that the familiar picture of an export/sales ratio that increases (at a decreasing rate) with firm size vanishes if unobserved firm heterogeneity is controlled for in a fixed-effects fractional logit regression model. This finding is well in line with the fact that many small firms are “hidden export champions.” JEL no. F10, D21, L60     

Size of nested cities

Models of cities based on conventional spatial market theory are unable to replicate a realistic size distribution. The stochastic process approach to size distribution, which assumes proportionate growth, does not provide an economic foundation for spatial trades. There is an apparent irreconcilability. We propose that since there is a continuum of equilibria in models of spatial markets with endogenous location, proportionate growth can work as equilibrium selection. We present computations for an urban configuration that has not been presented in the literature before. A small city locates inside a larger city's agricultural supply zone. This generates a larger variation in city size that may include a realistic size distribution.     

Size (and competition) among organizations: modeling scale‐based selection among automobile producers in four major countries, 1885–1981

Based on previous empirical research, size is perhaps the most powerful explanatory organizational covariate in strategic analysis. We suggest that theoretical arguments about size be examined carefully to specify models with explicit comparison sets and with mechanisms linking size and underlying processes to outcomes. We illustrate the approach here by advancing arguments about scale competition within an organizational population. In this effort, we feature a theoretical model of scale‐based selection, which posits that a firm's chances of survival decrease with its aggregate distance from larger competitors on a transformed size gradient. The model assumes that the appropriate comparison set consists of all contemporaneous similar organizations competing on the basis of scale and operating in a localized geographic setting. We argue that aggregate distance of a focal firm from larger other firms (a specific form of relative position in the size distribution) reflects the extent to which it can capitalize on potential competitive advantages of scale emanating from economic, political, and social processes. Analyzing the mortality rates of large organizations across the entire histories of automobile industries in four major countries provides support for the theory. We discuss the general implications of our findings for strategic and organizational analysis. Copyright © 2003 John Wiley & Sons, Ltd.