Effects Of Social Characteristics Research Articles

Do social and ecological indicators have the same effect on the subjective well-being of residents?

The study of the association between the socioecological system and people's subjective well-being (SWB) is crucial to improve residents' lives and achieve balanced regional development. However, it is challenging to quantitatively identify the specific association path and the contributions of both social and ecological factors to residents' SWB. In this study, we construct a framework for research on associations with SWB from a socioecological perspective. A resource-based city in rapid transition, Wuhai, China, was chosen as the research area. The effects of social characteristics and ecosystem services on residents' SWB were analyzed using questionnaires and multilevel linear models under different matching conditions of ecosystem services supply and demand. The results show differences in residents' SWB among different ecosystem service supply and demand zones. The contribution rates of social characteristics and ecosystem services to SWB differences were 93.98% and 6.02%, respectively. Compared with the SWB of urban residents, that of residents in suburban and rural areas is more affected by ecosystem services. In addition, provisioning services have a more significant association with residents' SWB than regulating services, especially for elderly and low-income people. The results show that in resource-based cities undergoing rapid transformation, the government should protect essential ecosystem services and focus on improving the employment and education levels of rural residents to effectively enhance their SWB and ensure the stable development of the socioecological system.

Comparative advantages and factors affecting agriculture production and income in the food estate area on the Indonesia–Timor-Leste border

The Indonesian government has created a food estate area in Belu Regency, supported by the construction of the Rotiklot Dam, in the expectation that it would increase agricultural production and income, as well as stimulate the economy of the border region. The study aims to analyze (i) the comparative advantage of agricultural commodities in the food estate area and (ii) the effect of social characteristics and physical inputs on increasing farmers’ production and income in the food estate area in the border region. The data used consisted of primary data obtained from interviews with 300 respondents, selected through purposive sampling from a population of 4500, and secondary data from related agencies. The data analysis employed location quotient (LQ) and the partial least squares approach to structural equation modeling (SEM-PLS). Social input was reflected by 5 variables and physical input by 3 variables, while production was reflected by 6 variables and income by 7 variables. The LQ results show that maize and rice production in the food estate area is superior to other areas, and maize grows faster than rice crops. The comparative advantage is due to physical and social factors; based on the results of SEM-PLS, physical factors have direct and indirect effects on production and income, while social factors have an indirect effect on farmers' income through agricultural production. Expansion of the planting area by utilizing water from the Rotiklot Dam and increasing the motivation of farmers through input subsidies are needed to optimize the increase in farmers' production and income.

MODEL OF SOCIAL AND ECONOMIC CHARACTERISTICS OF MSMEs IN UTILIZING ONLINE MEDIA TO INCREASE PEOPLE'SPOWER IN BATANG KUIS DISTRICT

The purpose of the study was to determine and analyze the effect of Social Characteristics on Purchasing power, to find out and analyze the influence of MSME Economy on the Purchasing power, to find out and analyze the influence of online media on Purchasing power, to determine and analyze the influence, Social Characteristics, Economics of SMEs, and Online Media onPurchasing powerto the community in Batang Kuis District. The results showed that social characteristics had no significant effect on purchasing power. This shows the influence of the digital era that has been widely carried out in buying and selling interactions, so that direct social interaction is very rarely carried out. The MSME economy has a significant effect on purchasing power. This shows the influence of the community's economy that influences the purchase of a product. Online media has a significant effect on purchasing power. This shows the influence of social media which has been widely used by the community in carrying out activities including buying the necessary needs through social media.

Link prediction measures considering different neighbors’ effects and application in social networks

Link prediction measures have been attracted particular attention in the field of mathematical physics. In this paper, we consider the different effects of neighbors in link prediction and focus on four different situations: only consider the individual’s own effects; consider the effects of individual, neighbors and neighbors’ neighbors; consider the effects of individual, neighbors, neighbors’ neighbors, neighbors’ neighbors’ neighbors and neighbors’ neighbors’ neighbors’ neighbors; consider the whole network participants’ effects. Then, according to the four situations, we present our link prediction models which also take the effects of social characteristics into consideration. An artificial network is adopted to illustrate the parameter estimation based on logistic regression. Furthermore, we compare our methods with the some other link prediction methods (LPMs) to examine the validity of our proposed model in online social networks. The results show the superior of our proposed link prediction methods compared with others. In the application part, our models are applied to study the social network evolution and used to recommend friends and cooperators in social networks.

A multilevel analysis of private-vehicle evacuation clearance times along the US Gulf Coast

This study uses multilevel regression analysis to examine the effect of social characteristics and the built environment on clearance time under an evacuation scenario. The primary unit of analysis is the US Census tract (N = 1660), nested within 31 incorporated places spanning five US states. The dependent variable is an estimate of clearance time in hours derived using network analysis techniques within a geographic information system. We find that tracts with a more peripheral location, more female residents, a higher proportion of Hispanic residents, and higher median household incomes are associated with higher clearance times, on average. Our research suggests the relationship between suburbanization and clearance time is complex and evolving, mediated by past investments in the built environment and shifting social conditions. In addition to facilitating the evacuation of areas with low access to personal vehicles, urban planners and emergency management officials should also consider how the degree of connectivity in the street network impacts congestion and clearance time.

Consumers’ awareness of food labeling: A case study of United Arab Emirates

The main objective of this study is to examine consumers’ awareness for food labeling in United Arab Emirates (UAE), along with identification of the socioeconomic characteristics and attitudes which make consumers aware of the subject. The UAE is an economy with a peculiar nature; more than 80% of its residents are expatriates from all over the world. A total of 500 respondents from all over the UAE were randomly selected and surveyed through face-to-face interviews. The deterministic statistics and frequency tables of data were prepared and analyzed. An ordered probit model was utilized to see the effect of social characteristics and attributes on the consumers’ awareness for food labeling. According to the results, 89.6% of respondents indicated that they read information provided on food labels. Among the attributes written on the labels, the three most important that were read by respondents more frequently were expiration date, list of ingredients, and the country of origin. The results of ordered probit model shows that the probability of reading food labels more frequently increases with older, more educated, and those who have more children under age of 18. Key words: Consumer’s awareness, food labeling, ordered probit model, imported food, healthy diet.

Mammalian sociobiology and zoo breeding programs

AbstractThis report discusses the impact of the social and physical environment on the potential for reproductive success of mammals in zoos. Several examples are provided of the importance of understanding the physical requirements as well as the mating system and social dynamics of a species (rather than just the group size and demography) when deciding on a management strategy. Additionally, the effects of social characteristics are stressed, such as familiarity on reproductive inhibition and stimulation both within and between the sexes and the impact these may have on the success or failure of a breeding program. © 1994 Wiley‐Liss, Inc.

The Effect of Social Characteristics on Juvenile Court Dispositions

Of the growing number of criticisms directed at various facets of the juvenile justice system, none is more common than the contention that the informality of the juvenile court encourages discrimi...