Critical factors for improving social sustainability of urban renewal projects

This study reviews the sustainable urban design concept and identifies critical factors for enhancing social sustainability of urban renewal projects. Through a questionnaire survey carried out in Hong Kong, the opinions of architects, planners, property development managers, and local citizens were sought and evaluated. The results derived from factor analysis indicated that certain design features should be incorporated for achieving social sustainability. “Satisfaction of Welfare Requirements”, “Conservation of Resources & the Surroundings”, “Creation of Harmonious Living Environment”, “Provisions Facilitating Daily Life Operations”, “Form of Development” and “Availability of Open Spaces” were believed to be the significant underlying factors for enhancing social sustainability of local urban renewal projects.

Marital Status and Social Well-Being: Are the Married Always Better Off?

This study uses pooled cross-section time-series data, over the years 1982, 1992 and 2000, to estimate the impact of various restrictive abortion laws on the demand for abortion. This study complements and extends prior research by explicitly including the price of obtaining an abortion in the estimation. The empirical results show that the real price of an abortion has a statistically and numerically significant negative impact on abortion demand. Over the period 1982–2000 approximately 20% of the decline in the incidence of abortion was due solely to the increase in the real price of obtaining an abortion. A state Medicaid funding restriction of abortion and a parental involvement law reduce the abortion demand, but a state waiting period and a mandatory counseling law have no statistically significant impact on the abortion demand. The empirical results also provide support for the hypothesis that increases in abortion costs not only reduce the number of abortions, but also reduce the number of pregnancies by altering women’s sexual/contraceptive practices.

Sibling size and investment in children’s education: an asian instrument

This study estimates the trade-off between child quantity and quality by exploiting exogenous variation in fertility under son preferences. Under son preferences, both sibling size and fertility timing are determined depending on the first child’s gender, which is random as long as parents do not abort girls at their first childbearing. For the sample South Korean households, I find strong evidence of unobserved heterogeneity in preferences for child quantity and quality across households. The trade-off is not as strong as observed cross-sectional relationships would suggest. However, even after controlling for unobserved heterogeneity, a greater number of siblings have adverse effects on per-child investment in education, in particular, when fertility is high.

Welfare myths: The transmission of values and work among TANF families

Both “welfare culture” arguments and structural explanations of poverty suggest that attitudes may have an effect on work and welfare outcomes. However, most scholars only examine objective behaviors and characteristics despite the fact that values are an underlying mechanism in explanations of the transmission of welfare and work behavior. Using data from a survey of recent welfare recipients in Louisiana and structural equation methods, we analyze causal relationships among family background, socioeconomic characteristics, attitudes, and two outcomes—TANF participation and employment. We find some support for the intergenerational transmission of welfare but not through values; we find no evidence that under the TANF system, values inhibit work.     

RESOURCE PLANNING FOR MULTIPLE PROJECTS *

This paper is concerned with the estimation of the resource requirements to service multiple projects that use many types of resources. It reports on a systematic procedure to determine the low cost levels of these resources, focusing on the two following characteristics: (1) the comparative cost of standard time to overtime in the utilization of these resources for the economical completion of the projects, and (2) the impact of highly expensive equipment in the determination of the economic levels of the manpower resources that combine with the equipment to form a crew. A numerical example is also presented to illustrate the method. Resource planning is of particular interest in the area of multiproject scheduling, since most of the commonly utilized heuristic solution approaches focus on the allocation of a limited set of available resources. In the corporate strategic planning functions, resource planning is particularly important for capital investment, training and development, and procurement scheduling.     

再谈知识分子与人文精神

"五四"以来,尽管对"人文主义"(humanism)有不同的理解,但一般都认为人文主义的论述与知识分子是分不开的。知识分子是一种启蒙式的人文主义者,自古到今,在中国的社会文化领域里始终有着举足轻重的地位,特别是知识分子自己觉得他永远站在一个中心位置来影响社会。这个基本的立场,在20世纪70、80年代后开始受到挑战。随着知识的工业化、专业化或体系化,人文精神变得离我们越来越遥远,知识分子的社会承担也变得越来越无足轻重。对于传统的知识分子的身份定位问题,有必要重新解构,作出新的思考。知识分子应该从文化实践中产生出来,他可以在现代社会里扮演多个角色,通过这些角色营造对社会、对文化有影响力的论说空间,这种影响力不同于原来的社会承担,更多的是知识的推广。当代知识分子可能会向两个方向分化:一些人以专业知识为主,更加专业化;另一些人会成为文化型的行动知识分子。     

日本电影产业的经济学分析

运用一个国内市场的经济学模型,来阐释美日两国电影产业之间不断变化的竞争平衡关系,可以验证如下假设,即日本的国产电影市场份额减少是因为对美国电影消费的增长速度超过对日本本国电影的消费速度。根据美日媒体产业发展的数据资料（1955－2000）得出的结论支持了这一经济学假设。     

Interactive fuzzy goal programming for multi-objective transportation problems

This paper presents an interactive fuzzy goal programming approach to determine the preferred compromise solution for the multi-objective transportation problem. The proposed approach considers the imprecise nature of the input data by implementing the minimum operator and also assumes that each objective function has a fuzzy goal. The approach focuses on minimizing the worst upper bound to obtain an efficient solution which is close to the best lower bound of each objective function. The solution procedure controls the search direction via updating both the membership values and the aspiration levels. An important characteristic of the approach is that the decision maker's role is concentrated only in evaluating the efficient solution to limit the influences of his/her incomplete knowledge about the problem domain. In addition, the proposed approach can be applied to solve other multi-objective decision making problems. The performance of this solution approach is evaluated by comparing its results with that of the two existing methods in the literature.     

Social Worker Manpower,Community Economic Disadvantage,and Family Violence: Initial Evidence from Taiwan

This study is the first to explore the effect of social worker manpower on family violence incidents. In addition, it is the first study to investigate the geography of family violence in Taiwan. Using data from the County‐Level Important Indicator Query System, this study performs panel regressions to analyze the determinants of county‐level family violence incidents between 2005 and 2011. The empirical results clearly indicate that family violence incidents tend to be higher in counties that suffer economic disadvantage and in which there is an inadequate deployment of social worker manpower. The findings have important implications for combating family violence.     

Depth functions as measures of representativeness

Data depth provides a natural means to rank multivariate vectors with respect to an underlying multivariate distribution. Most existing depth functions emphasize a centre-outward ordering of data points, which may not provide a useful geometric representation of certain distributional features, such as multimodality, of concern to some statistical applications. Such inadequacy motivates us to develop a device for ranking data points according to their “representativeness” rather than “centrality” with respect to an underlying distribution of interest. Derived essentially from a choice of goodness-of-fit test statistic, our device calls for a new interpretation of “depth” more akin to the concept of density than location. It copes particularly well with multivariate data exhibiting multimodality. In addition to providing depth values for individual data points, depth functions derived from goodness-of-fit tests also extend naturally to provide depth values for subsets of data points, a concept new to the data-depth literature.