scholarly journals Analysis of Factors Influencing the Urban Carrying Capacity of the Shanghai Metropolis Based on a Multiscale Geographically Weighted Regression (MGWR) Model

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 578
Author(s):  
Xiangyang Cao ◽  
Yishao Shi ◽  
Liangliang Zhou ◽  
Tianhui Tao ◽  
Qianqian Yang

With the rapid development of urban economy and the continuous expansion of urban scale, the limitations of urban carrying capacity begin to appear. For the sustainable development of the city, more and more scholars are paying attention to the research onurban carrying capacity. Basedon the continuous research of the authors’ research group over the past ten years, this paper uses a multiscale geographically weighted regression model and method to explore the impact of geographical location, floor area ratio, public transportation, residents’ consumption level, the density of high-tech enterprises, and the ecological environment on the carrying capacity of the Shanghai metropolis. The results show that (1) the impact of geographical location on the bearing capacity decreases from downtown to the outer areas and from the northeastern area to the southwestern area of Shanghai. (2) On the whole, the elasticity of the average floor area ratio to the urban carrying capacity is 0.52%. In different regions, most of the central urban areas have exceeded the optimal average plot ratio. With an increase in the average plot ratio, the urban carrying capacity presents a downward trend. Other sample areas generally did not reach the average optimal plot ratio, especially the southwestern area of Shanghai. With an increase in the average plot ratio, the urban carrying capacity of this area improved significantly. (3) The elasticity of public transportation convenience to the urban carrying capacity is 0.23%; that is, the average increase in the urban carrying capacity is 0.23% for every 1% increase in public transportation convenience. The elasticity of residents’ consumption level is −0.18%; in other words, every 1% increase in residents’ consumption level will reduce the urban carrying capacity by 0.18% on average. The elasticity of the density of high-tech enterprises is 0.08%; hence, when the density of high-tech enterprises increases by 1%, the urban carrying capacity increases by 0.08% on average. Lastly, the elasticity of the eco-environmental status index is 0.17%; that is, every 1% increase in the eco-environmental status index increases the urban carrying capacity by 0.17% on average.

2019 ◽  
Vol 70 (03) ◽  
pp. 291-296
Author(s):  
YUSUF KAYA ◽  
GIZEM GÜNAYDIN KARAKAN ◽  
EMILIA VISILEANU

Due to importance of global supply chain and high-tech exports, importance of new developing markets is gradually increasing. Turkey keeps the strategic importance for textile sector being in the center of Balkans, Asia, Middle East, North Africa, Eastern Europe and Russia. The geographical location allowing trade in the region makes the country much more advantageous than its competitors. However, devaluation and the exchange rate volatility of Turkish Lira in 2018 have been seriously affecting Turkish textile sector. This study aims to determine the impact of exchange rate fluctuation on Turkish textile firms’ performance between the years of 2013 and 2017. Additionally, multiple regression analysis was done in order to investigate the impact of firms’ performance such as firm age and firm size on performance of the textile firms. According to results, it was observed that exchange rate volatility had a negative effect on the firm performance and the firm size had a negative effect on firm performance while the firm age did not have any influence on firms’ performance significantly.


2017 ◽  
Vol 29 (2) ◽  
pp. 160-199 ◽  
Author(s):  
Uriel Leviatan

A large number of studies show that degree of socio-economic inequality ‘within’ a social entity negatively determines levels of well-being and life expectancy, and is positively associated with morbidity and mortality. This relationship holds over and above the impact of average income level. This initially suggested model put forward a causal flow with mediating variables of ‘relative deprivation’ and followed it up with the expressions of ‘social capital’ in the social psychological sense. This article tests, besides these, the role of an additional (relatively little referred to) mediating set of variables between economic inequality and measures of well-being and health, namely levels of physical investments by society (physical social capital [PHSC]) for fulfilling its individual members’ needs. It is proposed that the higher the level of inequality, the lower would be a society’s investments in PHSC (such as in education, health services, job creation, ecology conservation, public transportation and the like) that contribute to health, well-being and survival. The proposition is tested out in two kinds of kibbutz communities: one, ‘traditional’ with strong adherence to social and economic equality among members; and another, ‘transformed’ kibbutzim, where salaries are differential and are based on position or occupation. The two groups of kibbutzim were roughly equated on size, years since settlement, political belonging, economic standing and geographical location. Findings show that the degree of inequality is associated with the level of both psychosocial social capital and PHSC, which in turn contribute independently and cumulatively to levels of peoples’ health and well-being. Transformed kibbutzim are seen as an expression of neoliberal ideology results in the negative effects on health and well-being of individuals and their communities.


2019 ◽  
Vol 40 (3) ◽  
pp. 148-155
Author(s):  
K. N. Yusupov ◽  
V. M. Timiryanova, ◽  
Iu. S. Toktamysheva ◽  
A. F. Zimin,

The article presents a methodology for assessing the impact of spatial environment on the socioeconomic development of municipalities. It relies on existing tools for assessing the state and potential of the geographical location of municipalities. An integrated approach allows to determine the potential of the interaction of the municipality with the neighbors of the first and second order. The methodology was tested on statistical data on the Blagovarsky municipal district.


2018 ◽  
Vol 35 (2) ◽  
pp. 3-9
Author(s):  
M. S. Abrashkin

The article presents a study on the assessment of the impact of science-intensive machine building on the development of the regional economy and increasing its competitiveness. Based on the analysis of foreign sources, a theoretical justification was given for increasing the regional competitiveness of the economy. The tools of regional support of enterprises of science-intensive machine building and the model of the organizational and economic mechanism for regional development of science-intensive machine building were proposed. It has been proven that the development of science-intensive machine building influences the competitiveness of the region. 


2003 ◽  
Vol 48 (4) ◽  
pp. 139-146 ◽  
Author(s):  
B. Wett ◽  
J. Alex

A separate rejection water treatment appears as a high-tech unit process which might be recommendable only for specific cases of an upgrading of an existing wastewater treatment plant. It is not the issue of this paper to consider a specific separate treatment process itself but to investigate the influence of such a process on the overall plant performance. A plant-wide model has been applied as an innovative tool to evaluate effects of the implemented sidestream strategy on the mainstream treatment. The model has been developed in the SIMBA environment and combines acknowledged mathematical descriptions of the activated sludge process (ASM1) and the anaerobic mesophilic digestion (Siegrist model). The model's calibration and validation was based on data from 5 years of operating experience of a full-scale rejection water treatment. The impact on the total N-elimination efficiency is demonstrated by detailed nitrogen mass flow schemes including the interactions between the wastewater and the sludge lane. Additionally limiting conditions due to dynamic N-return loads are displayed by the model's state variables.


2021 ◽  
Vol 13 (10) ◽  
pp. 5467
Author(s):  
Barbara Grabinska ◽  
Dorota Kedzior ◽  
Marcin Kedzior ◽  
Konrad Grabinski

So far, CSR’s role in the high-tech industry is not fully explained by academic research, especially concerning the most burdensome obstacle to firms’ growth: acquiring debt financing. The paper aims to solve this puzzle and investigate whether young high-tech companies can attract more debt by engaging in CSR activity. To address the high-tech industry specificity, we divided CSR-reporting practice into three broad categories: employee, social, and environmental and analyzed their impact on the capital structure. Our sample consists of 92 firm-year observations covering the period 2014–2018. Using a regression method, we found out that only employee CSR plays a statistically significant role in shaping capital structure. We did not find evidence for the influence of the other types of CSR-reporting practices. The results suggest that employees are the key resource of high-tech companies, and, for this reason, they are at the management’s focus. This fact is visible at the financial reporting level and, as we interpret results, is also considered by credit providers. In a more general way, our results suggest that firms tend to choose CSR based on the importance of crucial resources.


Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.


2021 ◽  
Vol 11 (10) ◽  
pp. 4703
Author(s):  
Renato Andara ◽  
Jesús Ortego-Osa ◽  
Melva Inés Gómez-Caicedo ◽  
Rodrigo Ramírez-Pisco ◽  
Luis Manuel Navas-Gracia ◽  
...  

This comparative study analyzes the impact of the COVID-19 pandemic on motorized mobility in eight large cities of five Latin American countries. Public institutions and private organizations have made public data available for a better understanding of the contagion process of the pandemic, its impact, and the effectiveness of the implemented health control measures. In this research, data from the IDB Invest Dashboard were used for traffic congestion as well as data from the Moovit© public transport platform. For the daily cases of COVID-19 contagion, those published by Johns Hopkins Hospital University were used. The analysis period corresponds from 9 March to 30 September 2020, approximately seven months. For each city, a descriptive statistical analysis of the loss and subsequent recovery of motorized mobility was carried out, evaluated in terms of traffic congestion and urban transport through the corresponding regression models. The recovery of traffic congestion occurs earlier and faster than that of urban transport since the latter depends on the control measures imposed in each city. Public transportation does not appear to have been a determining factor in the spread of the pandemic in Latin American cities.


Author(s):  
Denise Genereux ◽  
Lida Fan ◽  
Keith Brownlee

Chronic kidney disease, also referred to as end-stage renal disease (ESRD), is a prevalent and chronic condition for which treatment is necessary as a means of survival once affected individuals reach the fifth and final stage of the disease. Dialysis is a form of maintenance treatment that aids with kidney functioning once a normal kidney is damaged. There are two main types of dialysis: hemodialysis (HD) and peritoneal dialysis (PD). Each form of treatment is discussed between the patient and nephrologist and is largely dependent upon the following factors: medical condition, ability to administer treatment, supports, geographical location, access to necessary equipment/supplies, personal wishes, etc. For Indigenous Peoples who reside on remote Canadian First Nation communities, relocation is often recommended due to geographical location and limited access to both health care professionals and necessary equipment/supplies (i.e., quality of water, access to electricity/plumbing, etc). Consequently, the objective of this paper is to determine the psychosocial and somatic effects for Indigenous Peoples with ESRD if they have to relocate from remote First Nation communities to an urban centre. A review of the literature suggests that relocation to urban centres has negative implications that are worth noting: cultural isolation, alienation from family and friends, somatic issues, psychosocial issues, loss of independence and role adjustment. As a result of relocation, it is evident that the impact is profound in terms of an individuals’ mental, emotional, physical and spiritual well-being. Ensuring that adequate social support and education are available to patients and families would aid in alleviating stressors associated with managing chronic kidney disease.


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