scholarly journals Calculation and Influencing Factors of the Operating Efficiency of Chinese Airports under High-Quality Development

2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Meng Shang ◽  
Chunjie Jia ◽  
Hui Li ◽  
Yu Liu ◽  
Junwei Cao
Keyword(s):  
Influencing Factors ◽  
Social Factors ◽  
Negative Impact ◽  
Positive Impact ◽  
Tobit Model ◽  
Operating Efficiency ◽  
Quality Development ◽  
High Quality ◽  
Natural Factors ◽  
The Impact

Based on the cross-sectional data of 40 large-scale international airports in China in 2019, this paper introduced natural and social factors into the calculation of airport operating efficiency and constructed a BCC-SFA-BCC-Tobit 4-stage analysis framework. Combining with the connotation of the “green, smart, humane, and safe” airport high-quality development, the paper applied the Tobit model to quantitatively analyze the influencing factors of the operating efficiency of airports, and the research shows that (1) the overall operating efficiency of the study airports is 0.734; in terms of the region, the operating efficiency of airports located in southwest and northwest regions is greatly affected by natural factors, while the operating efficiency of airports located in North China is mostly affected by social factors. (2) Under the perspective of human-earth relationship, the impact of natural factors on the operating efficiency of airports is greater than that of social factors, wherein PM2.5 and relative humidity have negative impact, while the actual foreign capital utilization of the city and domestic and foreign tourists have positive impact. (3) The regression results of the Tobit model indicate that green, smart, and safe indicators can promote the high-quality development of airports, while the humane indicator restrains the high-quality development of airports.

scholarly journals Environmental Regulation and High-Quality Development in China

2021 ◽  
Vol 3 (5) ◽  
pp. 105-112
Author(s):  
Wentao Xu
Keyword(s):  
Environmental Regulation ◽  
Negative Impact ◽  
Positive Impact ◽  
Empirical Test ◽  
Pollutant Emission ◽  
Quality Development ◽  
High Quality ◽  
Positive Role ◽  
Development Level ◽  
The Impact

This paper uses the data of 30 provincial regions in mainland China except Tibet from 2006 to 2018 to weighted measure the intensity of environmental regulation through the weight determined by the ranking of pollutant emission intensity year by year; Based on the three subsystems of economy, society and environment, this paper constructs a high-quality development measurement index system, and determines the weight year by year by entropy method, as well as measures the high-quality development level by weight; From the perspective of enterprise production decision, the influence of environmental regulation on high-quality development is theoretically deduced. Through the empirical test of two threshold models with environmental regulation intensity and per capita GDP as the threshold, it confirms each other, and empirically analyzes the impact of environmental regulation intensity on high-quality development level. The research results show that: The impact of environmental regulation intensity on high-quality development level, with the change of enterprises’ decision-making to deal with environmental regulation, has an obvious threshold effect. Before reaching the threshold, the increase of environmental regulation intensity has a negative impact on high-quality development; After reaching the threshold, the impact of the increase of environmental regulation intensity on high-quality development may have a short uncertain stage, followed by a positive impact. Government environmental regulation should be combined with the local stage to avoid the misunderstanding of blindly improving the intensity of environmental regulation; Government environmental regulation should focus on reducing the cost of cleaner production and technological innovation, and accelerate the formation of “forced“ innovation mechanism of environmental regulation, so as to give full play to the positive role of environmental regulation in promoting high-quality and high-development.

scholarly journals Environmental regulations, capacity utilization, and high-quality development of manufacturing: an analysis based on Chinese provincial panel data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hongyang Wang ◽  
Baizhou Li
Keyword(s):  
Environmental Regulation ◽  
Manufacturing Industry ◽  
Negative Impact ◽  
Environmental Regulations ◽  
Rapid Development ◽  
Capacity Utilization ◽  
Utilization Rate ◽  
Quality Development ◽  
High Quality ◽  
The Impact

AbstractThe high-quality development of the manufacturing industry is an important strategic task for Chinese economic development. The rapid development of the manufacturing industry is also accompanied by problems such as overcapacity and environmental pollution. This paper analyzes the impact of capacity utilization on the high-quality development of manufacturing and establishes a nonlinear threshold regression model on this basis, and studies and analyzes environmental regulations as a threshold variable under the influence of capacity utilization rate on the high-quality development of the manufacturing industry. The research results show that: capacity utilization, profitability, foreign direct investment, and government participation all have a significant positive impact on the high-quality development of the manufacturing industry; environmental regulations have a significant negative impact on the high-quality development of the manufacturing industry. And in the model of the effect of capacity utilization on the high-quality development of the manufacturing industry, environmental regulation has a single threshold effect. With the increase in the intensity of environmental regulation, the coefficient and significance of the effect of capacity utilization on the high-quality development of the manufacturing industry have changed. Finally, this article puts forward corresponding policies and suggestions based on the results of data analysis.

scholarly journals The Impact of Center-Based Childcare Attendance on Early Child Development: Evidence From the French Elfe Cohort

Demography ◽  
2021 ◽  
Author(s):  
Lawrence M. Berger ◽  
Lidia Panico ◽  
Anne Solaz
Keyword(s):  
Child Development ◽  
Motor Skills ◽  
Negative Impact ◽  
Positive Impact ◽  
Language Skills ◽  
The United States ◽  
Small Scale ◽  
High Quality ◽  
Disadvantaged Children ◽  
The Impact

Abstract Proponents of early childhood education and care programs cite evidence that high-quality center-based childcare has positive impacts on child development, particularly for disadvantaged children. However, much of this evidence stems from randomized evaluations of small-scale intensive programs based in the United States and other Anglo/English-speaking countries. Evidence is more mixed with respect to widespread or universal center-based childcare provision. In addition, most evidence is based on childcare experiences of 3- to 5-year-old children; less is known about the impact of center-based care in earlier childhood. The French context is particularly suited to such interrogation because the majority of French children who attend center-based care do so in high-quality, state-funded, state-regulated centers, known as crèches, and before age 3. We use data from a large, nationally representative French birth cohort, the Étude Longitudinale Français depuis l'Enfance (Elfe), and an instrumental variables strategy that leverages exogenous variation in both birth quarter and local crèche supply to estimate whether crèche attendance at age 1 has an impact on language, motor skills, and child behavior at age 2. Results indicate that crèche attendance has a positive impact on language skills, no impact on motor skills, and a negative impact on behavior. Moreover, the positive impact on language skills is particularly concentrated among disadvantaged children. This implies that facilitating increased crèche access among disadvantaged families may hold potential for decreasing early socioeconomic disparities in language development and, given the importance of early development for later-life outcomes, thereby have an impact on long-term population inequalities.

scholarly journals An Integrated Measurement of the Efficiency of China’s Industrial Circular Economy and Associated Influencing Factors

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1610
Author(s):  
Chenyu Lu ◽  
Yang Zhang ◽  
Hengji Li ◽  
Zilong Zhang ◽  
Wei Cheng ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Influencing Factors ◽  
Circular Economy ◽  
Negative Impact ◽  
Positive Impact ◽  
Eastern Region ◽  
Industrial Transformation ◽  
Starting Point ◽  
Autonomous Regions ◽  
The Impact

Since the 1990s, the notion of a circular economy has been developing globally; countries all over the world have been considering the development of a circular economy as an important means of achieving sustainable development. As the development of an industrial circular economy can help promote the efficient recycling of resources, it is an important starting point for industrial transformation and upgrading, and represents a key factor that will lead to the development of a circular economy in China. China’s varying provinces (municipalities and autonomous regions) have successively implemented circular economy practices in the industrial field. The research object of the present study is 30 provinces, autonomous regions, and municipalities directly under the control of central government (Hong Kong, Macao, Taiwan, and Tibet were not included owing to lack of data). Through the integration of geographic information systems (GIS) technology and the spatial analysis model, data envelopment analysis (DEA) model, and Tobit regression model, a measure model and index system are constructed, in order to carry out a multi-angle comprehensive study integrating the efficiency evaluation, spatial analysis, and influencing factors analysis of China’s industrial circular economy. It is an important innovation, and an important contribution to the existing research system. The conclusions are as follows: (1) In general, the overall level of China’s industrial circular economy’s efficiency was not high, and there was still a lot of room for improvement. The integrated efficiency of the industrial circular economy in the eastern region was relatively high, followed by that in the western region, and the lowest level in the middle region. (2) The efficiency of China’s industrial circular economy displayed obvious spatial aggregation characteristics at the provincial level, including clear spatial dependence and spatial heterogeneity. High-value aggregation areas were mainly distributed in the eastern coastal areas, and low-value aggregation areas were concentrated and contiguously distributed in the middle and western inland areas. (3) The four elements of economic level, openness to the outside, government regulation, and industrialization aggregation each impose a significant positive impact on the efficiency of China’s industrial circular economy, which can promote its efficiency. The level of industrialization exerts a significant negative impact on the efficiency of the industrial circular economy, which hampers its improvement. The impact of technological innovation on the efficiency of the industrial circular economy is not statistically significant.

043 Sleep Restriction Affects Memory in Healthy Adults: Preliminary Findings

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A18-A19
Author(s):  
Molly Zimmerman ◽  
Christiane Hale ◽  
Adam Brickman ◽  
Lok-Kin Yeung ◽  
Justin Cochran ◽  
...  
Keyword(s):  
Working Memory ◽  
Negative Impact ◽  
Positive Impact ◽  
Healthy Adults ◽  
Task Demands ◽  
Sleep Restriction ◽  
Neuropsychological Function ◽  
Wake Time ◽  
Sleep Condition ◽  
The Impact

Abstract Introduction Sleep loss has a range of detrimental effects on cognitive ability. However, few studies have examined the impact of sleep restriction on neuropsychological function using an experimental design. The goal of this study was to examine the extent to which maintained insufficient sleep affects cognition in healthy adults compared to habitual adequate sleep. Methods This study used a randomized, crossover, outpatient sleep restriction design. Adults who regularly slept at least 7 h/night, verified by 2 weeks of screening with actigraphy, completed 2 phases of 6 weeks each: habitual sleep (>7 h of sleep/night) or sleep restriction (habitual sleep minus 1.5 h) separated by a 6-week washout period. During the sleep restriction phase, participants were asked to delay their bedtime by 1.5 hours/night while maintaining their habitual wake time. Neuropsychological function was evaluated with the NIH Toolbox Cognition Battery at baseline (week 0) and endpoint (week 6) of each intervention phase. The NIH Toolbox evaluates a range of cognitive abilities, including attention, executive functioning, and working memory. General linear models with post hoc paired t-tests were used to assess demographically-adjusted test scores prior to and following each sleep condition. Results At the time of analyses, 16 participants were enrolled (age 34.5□14.5 years, 9 women), 10 of whom had completed study procedures. An interaction between sleep condition and testing session revealed that individuals performed worse on List Sorting, a working memory test, after sleep restriction but improved slightly after habitual sleep (p<0.001). While not statistically reliable, the pattern of test results was similar on the other tests of processing speed, executive function, and attention. Conclusion In these preliminary results from this randomized experimental study, we demonstrated that sleep restriction has a negative impact while stable habitual adequate sleep has a positive impact on working memory, or the ability to temporarily hold information in mind while executing task demands. This finding contributes to our understanding of the complex interplay between different aspects of sleep quality (i.e., both sleep restriction as well as the maintenance of stable sleep patterns) on cognition and underscores the importance of routine sleep screening as part of medical evaluations. Support (if any):

scholarly journals Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict

2021 ◽  
Vol 13 (8) ◽  
pp. 4513
Author(s):  
Summaira Malik ◽  
Muhammad Taqi ◽  
José Moleiro Martins ◽  
Mário Nuno Mata ◽  
João Manuel Pereira ◽  
...  
Keyword(s):  
Project Success ◽  
Negative Impact ◽  
Positive Impact ◽  
Construction Project ◽  
Project Team ◽  
Relationship Conflict ◽  
Team Members ◽  
Mediating Role ◽  
The Impact

The success of a construction project is a widely discussed topic, even today, and there exists a difference of opinion. The impact of communication and conflict on project success is an important, but least addressed, issue in literature, especially in the case of underdeveloped countries. Miscommunication and conflict not only hinder the success of a project but also may lead to conflicts. The focus of this paper was to examine the impact of communication on project success with the mediating role of conflict. By using SPSS, demographics, descriptive statistics and correlation were determined. Smart PLS version 3.0 was used for confirmatory factor analysis (CFA), internal accuracy and validity estimates, hypothesis checking and mediation testing. The results showed that formal communication has a negative impact on the success of a construction project, resulting in conflicts among project team members, whereas informal communication and communication willingness have a positive impact on project success because people tend to know each other, and trust is developed. Task, process and relationship conflicts were used as mediating variables. It was found that task conflict effects the relations positively because project team members suggest different ways to do a certain task, and, hence, project success is achieved. On the contrary, process conflict and relationship conflict have a negative impact on communication and project success. Both of these conflicts lead to miscommunication, and project success is compromised. Hence, it is the responsibility of the project manager to enhance communication among project team members and to reduce the detrimental effects of process and relationship conflict on project success.

scholarly journals Environmental Regulation, Environmental Awareness and Environmental Governance Satisfaction

2021 ◽  
Vol 13 (7) ◽  
pp. 3960
Author(s):  
Meng-Meng Geng ◽  
Ling-Yun He
Keyword(s):  
Environmental Regulation ◽  
Environmental Governance ◽  
Negative Impact ◽  
Positive Impact ◽  
Subjective Evaluation ◽  
Environmental Awareness ◽  
General Social Survey ◽  
Probit Model ◽  
The People ◽  
The Impact

It is a problem worth thinking about whether the government’s environmental regulation policies can meet the residents’ requirements for environmental quality, and benefit the people. The study of the public’s subjective evaluation can more intuitively judge whether the government’s environmental regulation has realized “ecological benefits for the people”. Based on the data of the Chinese General Social Survey (CGSS) in 2013, this paper studied the impact of environmental regulation and environmental awareness on environmental governance satisfaction by an ordered probit model. The study found that environmental regulation has a significant positive impact on environmental governance satisfaction, while environmental awareness has a significant negative impact on environmental governance satisfaction. We also found that when public environmental awareness is taken into account, the positive relationship between environmental regulation and environmental governance satisfaction is affected. The robustness test proved this conclusion.

The Impact of the Business Environment on the Formalization of Informal Firms. The Case of Kosovo

Südosteuropa ◽  
2020 ◽  
Vol 68 (4) ◽  
pp. 505-529
Author(s):  
Kujtim Zylfijaj ◽  
Dimitar Nikoloski ◽  
Nadine Tournois
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Business Environment ◽  
Positive Influence ◽  
Policy Implications ◽  
Tax Reforms ◽  
Firm Level ◽  
Characteristics Analysis ◽  
Significant Negative Impact ◽  
The Impact

AbstractThe research presented here investigates the impact of the business environment on the formalization of informal firms, using firm-level data for 243 informal firms in Kosovo. The findings indicate that business-environment variables such as limited access to financing, the cost of financing, the unavailability of subsidies, tax rates, and corruption have a significant negative impact on the formalization of informal firms. In addition, firm-level characteristics analysis suggests that the age of the firm also exercises a significant negative impact, whereas sales volume exerts a significant positive impact on the formalization of informal firms. These findings have important policy implications and suggest that the abolition of barriers preventing access to financing, as well as tax reforms and a consistent struggle against corruption may have a positive influence on the formalization of informal firms. On the other hand, firm owners should consider formalization to be a means to help them have greater opportunities for survival and growth.

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

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