Leaning to the disadvantaged or pursuing maximum utility? The allocation of intergenerational relationship resources in C hinese families with multiple children

2021 ◽  
Author(s):  
Ting Li ◽  
Yongai Jin
Keyword(s):  
Intergenerational Relationship ◽  
Maximum Utility

scholarly journals Intergenerational Relationship Quality, Gender, and Grandparent Involvement

2010 ◽  
Vol 59 (1) ◽  
pp. 28-44 ◽  
Author(s):  
Melissa A. Barnett ◽  
Laura V. Scaramella ◽  
Tricia K. Neppl ◽  
Lenna Ontai ◽  
Rand D. Conger
Keyword(s):  
Relationship Quality ◽  
Intergenerational Relationship ◽  
Grandparent Involvement

A self-selected congestion scheme based on CAMs maximum utility function

2020 ◽  
Author(s):  
Hui Song ◽  
Yongshun Wang ◽  
Peng Hong ◽  
Linsen Chen
Keyword(s):  
Utility Function ◽  
Maximum Utility

A bi-level programming for transportation services procurement based on combinatorial auction with fuzzy random parameters

2018 ◽  
Vol 30 (5) ◽  
pp. 1162-1182 ◽  
Author(s):  
Fang Yan ◽  
Yanfang Ma ◽  
Cuiying Feng
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Traditional Approach ◽  
Algorithm Analysis ◽  
Mixed Integer ◽  
Content Type ◽  
Winner Determination ◽  
Stochastic Mixed Integer Programming ◽  
Maximum Utility ◽  
Algorithm Comparison

Purpose The purpose of this paper is to study a transportation service procurement bid construction problem from a less than a full truckload perspective. It seeks to establish stochastic mixed integer programming to allow for the proper bundle of loads to be chosen based on price, which could improve the likelihood that carrier can earn its maximum utility. Design/methodology/approach The authors proposes a bi-level programming that integrates the bid selection and winner determination and a discrete particle swarm optimization (PSO) solution algorithm is then developed, and a numerical simulation is used to make model and algorithm analysis. Findings The algorithm comparison shows that although GA could find a little more Pareto solutions than PSO, it takes a longer time and the quality of these solutions is not dominant. The model analysis shows that compared with traditional approach, our model could promote the likelihood of winning bids and the decision effectiveness of the whole system because it considers the reaction of the shipper. Originality/value The highlights of this paper are considering the likelihood of winning the business and describing the conflicting and cooperative relationship between the carrier and the shipper by using a stochastic mixed integer programming, which has been rarely examined in previous research.

The Maximum Claims of Gauthier's Bargainers: Are the Fixed Social Inequalities Acceptable?

Dialogue ◽  
1982 ◽  
Vol 21 (3) ◽  
pp. 411-429
Author(s):  
David Braybrooke
Keyword(s):  
Social Contract ◽  
Social Inequalities ◽  
Social Contract Theory ◽  
The Other ◽  
Relative Advantage ◽  
Central Feature ◽  
Maximum Utility ◽  
The Difference ◽  
The One ◽  
Principle Of Maximum

A central feature of David Gauthier's impressively searching version of social contract theory is the principle of maximin relative advantage. Given certain assumptions—more than he originally thought—this principle may be described as calling for maximum equal advantage, which is easier to talk about; and I shall refer to the principle under this description. Maximum equal relative advantage is equivalent to minimum equal relative concession; hence the principle of maximum equal relative advantage has a twin and mirror, the principle of minimum equal relative concession. Relative advantage and relative concession are ratios with the same denominator, the difference for a given agent between the maximum utility (umax) that she might get from the societyt o be contracted for and the minimum utility (umin) that would give her an incentive to cooperate in establishing the society and in keeping it up. The numerator for the one ratio—relative advantage—is the difference between the utility that she is actually going to gain from society (ua) and her minimum cooperative utility (umin). The numerator for the other ratio—relative concession—is the difference between her maximum utility (umax) and the utility that she is going to get (ua), in other words, the amount of utility that she foregoes in not getting her maximum.

scholarly journals The Role of Family in Modern China

2021 ◽  
Vol 13 (2021/1) ◽  
Author(s):  
Zsombor Rajkai
Keyword(s):  
Filial Piety ◽  
State Intervention ◽  
Modern China ◽  
Intergenerational Relationship ◽  
Contemporary China ◽  
Social Unit ◽  
Chinese Families ◽  
Workplace Relations ◽  
The Family ◽  
Political Economic

Following the Maoist period (1949–1976), which stressed workplace relations over family ties and the post-Mao era, which restored the family as an important social unit, the family in contemporary China suggests a blended picture of both pre-modern, modern and post-modern characteristics. For instance, the increasing intergenerational relationship accompanied by strong filial piety shows a quasi-return to pre-modern conditions, whereas the freedom of mateselection rather reveals a modern characteristic of Chinese families today. In contrast, China’s current low total fertility rate shows a post-modern feature of the family, albeit as a result of direct state intervention in the private sphere. This blended and compressed characteristic can also be seen in the ambiguous transformation of the private (family) and ‘public’ (defined here as ‘non-private’, such as political, economic and civil society) spheres. However, it can be argued that contemporary China, which offers new perspectives to social sciences for a better understanding of the different paths of modernisation in general, is being characterised by a sort of new modern familism where the family continues to play an essential role in social responsibility and sustainability.

scholarly journals COASTAL APPLICATIONS OF THE ERTS-A SATELLITE

1972 ◽  
Vol 1 (13) ◽  
pp. 113
Author(s):  
Orville T. Magoon ◽  
Douglas M. Pirie ◽  
John W. Jarman
Keyword(s):  
Multispectral Images ◽  
Precise Location ◽  
Multispectral Data ◽  
Topographic Features ◽  
Efficient Management ◽  
The Earth ◽  
Maximum Utility ◽  
Data Output ◽  
Constant Observation ◽  
One Year

This paper describes the Earth Resources Technology Satellite (ERTS) placed in orbit in July 1972 and the ERTS simulation high altitude aircraft flights which have been flown for approximately one year. The ERTS satellite and simulation programs conducted by the National Aeronautics and Space Administration (NASA) have been developed to demonstrate the techniques for efficient management of the earth's resources. To achieve this objective the ERTS-A satellite provides for the repetitive acquisition of high resolution multispectral data of the earth's surface on a global basis. Two sensor systems have been selected for this purpose: a fourchannel multispectral scanner (MSS) subsystem for ERTS-A and a threecamera return beam vidicon (RBV) system. Systematic repeating earth coverage under nearly constant observation conditions is provided for maximum utility of the multispectral images collected by the ERTS satellite, which operates in a circular sun synchronous nearly polar orbit at an altitude of 494 nautical miles. It circles the earth every 103 minutes completing 14 orbits per day and views the entire earth in 18 days. The orbit has been selected so that the satellite ground trace repeats its earth coverage at the same local time every 18-day period within 20 nautical miles. A number of data output products are available from this satellite which include 70 mm products for precise location of topographic features, 9.5 inch positive or paper prints and also computer compatible tapes or punched cards. Also described are the results of the ERTS-A simulation flights flown at an altitude of 65,000 feet as related to coastal studies. Simulations of both the RBV and MSS in coastal areas are presented.

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