Healthy City Community Space-Oriented Structural Planning and Management Optimization under COVID-19.

This work studies ways of Healthy City Construction (HCC) and Urban Governance Optimization (UGO) during the COVID-19 pandemic. The specific urban community space planning structure is proposed following a literature review on the healthy city's theoretical basis and historical development. Then, the proposed HCC-oriented community space structure is tested by surveying residents' physical and mental health and infectious risk using a questionnaire survey and Particle Swarm Optimization (PSO).

Can the water resources tax policy effectively stimulate the water saving behavior of social water users? A DSGE model embedded in water resources tax.

Whether the implementation of the water resources tax policy can stimulate the water-saving behavior of social water users is one of the important criteria for evaluating the implementation effect of the tax reform policy. Taking Hebei Province, the first tax reform pilot in China, as an example. A dynamic stochastic general equilibrium model (DSGE) with embedded water resources tax is constructed to simulate the persistent impact of water resources tax on water-saving objectives.

Air pollution control or economic development? Empirical evidence from enterprises with production restrictions.

Production restriction is an environmental regulation adopted in China to curb the air pollution of industrial enterprises. Frequent production restrictions may cause economic losses for enterprises and further hinder their green transformation. Polluting enterprises are faced with the dilemma of choosing environmental protection or economic development.

Factors impacting informed consent in cosmetic breast augmentation.

Background: For women who undergo cosmetic breast augmentation, their post-operative risk assessment may not match their pre-operative understanding of the involved risks and likelihood of revision surgeries. This may be due to the potential issues surrounding whether patients are being fully informed about all possible risks and related financial implications during the consent phases of patient/doctor consultation.

Methods: To explore comprehension, risk preference, and perceptions of breast augmentation procedure, we conducted a recorded online experiment with 178 women (18-40 years) who received varying amounts of risk-related information from two experienced breast surgeons in a hypothetical first consultation scenario.

Obesity inequality and well-being in Germany.

Using 2002-2018 German Socio-Economic Panel (GSOEP) data for German adults aged 18 + , this study measures changes in the body mass index (BMI) distribution and obesity inequality to estimate the relation between the latter and subjective well-being. In addition to documenting a significant association between the various measures of obesity inequality and subjective well-being, especially among women, we show a significant increase in obesity inequality, particularly among females and those with low education and/or low income. This rising inequality points to the need to combat obesity through initiatives targeted at specific sociodemographic groups.

Environmental Governance, Public Health Expenditure, and Economic Growth: Analysis in an OLG Model.

This article studies the relationship between environmental governance, public health expenditure, and economic growth by introducing human health status into a three-period overlapping generation dynamic general equilibrium (OLG-DGE) model and conducting a policy simulation analysis in a Chinese scenario. The main findings are generalized as follows: (i) The increase in pollution emissions per unit of output will not only lead to the deterioration of public health but also hinder long-term economic growth, while the efficiency of pollution control will improve health and output per labor unit; (ii) Although levying environmental tax will improve health status and life expectancy, it has a non-linear impact on pollution emissions and output per labor unit, which means that there are trade-offs among environmental governance, public health improvement, and economic output; and (iii) Although the increase in the proportion of public health expenditure will improve health status, its impact on life expectancy and economic output is affected by the level of environmental tax. Only when the environmental tax rate is relatively low, will increasing the proportion of public health expenditure extend life expectancy and output per labor unit.

Each discipline is different: teacher capabilities for future-focussed digitally infused undergraduate programmes.

Disciplines in Higher Education have their own interpretations of what is essential knowledge that influences what is taught, how teaching occurs, and the role of digital tools. Disciplinary culture is dynamic and evolving, informed by disciplinary research and technology improvement. During the COVID-19 pandemic, digital solutions enabled ongoing teaching when undergraduate courses could not be taught on campus, in lecture theatres, seminar rooms, laboratories, or in the field.

Upper GI endoscopy in subjects with positive fecal occult blood test undergoing colonoscopy: systematic review and meta-analysis.

Background And Aims: The role of gastroscopy to investigate the upper GI (UGI) tract in subjects with a positive fecal occult blood test (FOBT+) result is controversial. We conducted a systematic review and meta-analysis, which aimed to determine the prevalence of UGI lesions in FOBT+ subjects.

Methods: Databases were searched until March 31, 2022 for studies reporting UGI lesions in FOBT+ subjects undergoing colonoscopy and gastroscopy.

The intangible costs of overweight and obesity in Germany.

Background: Previous literature documents the direct and indirect economic costs of obesity, yet none has attempted to quantify the intangible costs of obesity. This study focuses on quantifying the intangible costs of one unit body mass index (BMI) increase and being overweight and obese in Germany.

Methods: By applying a life satisfaction-based compensation value analysis to 2002-2018 German Socio-Economic Panel Survey data for adults aged 18-65, the intangible costs of overweight and obesity are estimated.

"I'm stressed!": The work effect of process innovation on mental health.

Objectives: The prevalence of unmet mental healthcare needs is a common challenge faced by many developing countries. This situation may worsen if more attention is not paid to the dramatic changes in the industrial workplace because of the diffusion of new automation and robotisation in the process of production.We aim to examine whether mental health problems are associated with frontline workers' direct experience of process innovation in the firms where they operate and verify whether/which of these mechanisms are involved in this relationship.

MUC1 promotes lung metastases of liver cancer by impairing anti-tumor immunity.

Purpose: MUC1 is a membrane bound protein that can regulate tumor progression but its role in tumor metastasis and the metastatic microenvironment remains unclear.

Methods: We performed differential gene analysis for primary liver cancer (n = 31) and lung metastases (n = 31) using the Gene Expression Omnibus (GEO) dataset (GSE141016) and obtained RNA sequencing data from 374 liver cancer and 50 normal tissues from The Cancer Genome Atlas (TCGA). We analyzed the prognostic value of MUC1 and the relationship between MUC1 and the TME using online databases and a clinical cohort.

Hedging strategies among financial markets: the case of green and brown assets.

Recognizing the growing importance of the green energy market-renewable energy stocks and bonds-and its classification as a viable financial asset, this paper examines hedging strategies with brown market instruments-gold, oil, bond and the composite S&P500-on the green energy markets. That is, we examine whether, and to what extent brown assets can provide a hedge for green assets, using variants of the multivariate GARCH framework (DCC, ADCC and GO-GARCH). Our dataset spans the period 01/12/2008 to 30/09/2021.

Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China.

The digital economy is pushing more efficient and greener production and innovation processes, as well as quickening the mobility of production factors, which would have a critical impact on improving industrial green innovation efficiency. Based on the panel data of 30 Chinese provinces from 2005 to 2019, this study established a comprehensive index system to assess the level of provincial digital economy development, and adopted the SBM-DEA model including non-expected output to evaluate industrial green innovation efficiency, then adopted the I and I to test whether there is spatial autocorrelation, followed by the spatial Durbin model (SDM) and the mediating effect test model to investigate the direct impact, spatial spillover effect and indirect transmission mechanism of the digital economy on industrial green innovation efficiency. The results show that: both the development level of the digital economy and industrial green innovation efficiency show positive spatial autocorrelation; The digital economy not only has a significant direct role in promoting industrial green innovation efficiency but also has a spatial spillover effect; The digital economy can improve industrial green innovation efficiency by promoting manufacturing structure upgrading and stimulating enterprises' green technology innovation.

Cross-level research on the impact of self-serving leadership on employee innovation behavior: The roles of workplace anxiety and team psychological safety.

Employee innovative behavior is significant in maintaining an organization's sustainable development. This study explored the impact of team psychological safety and workplace anxiety on the association between self-serving leadership and employee innovation behavior by synthesizing social information processing theory, conservation of resources theory, and ego depletion theory. We conducted a hierarchical linear model analysis using three-wave paired data collected from 86 leaders and 392 employees.

Economic growth, foreign investment, tourism, and electricity production as determinants of environmental quality: empirical evidence from GCC region.

Each economic factor generates both positive and negative externalities regarding environmental quality. Owing to this, the current study aims to explore the impacts of various economic variables on the environmental quality of the Gulf Cooperation Council (GCC) region. By sampling the 24 years (1996-2019) financial statistics of six GCC region countries, we investigate the impact of economic growth, foreign investment, trade volume, tourism investment and revenue, and electricity production on CO emissions.

Realizing direct and indirect impact of environmental regulations on pollution: A path analysis approach to explore the mediating role of green innovation in G7 economies.

The alarming impact of climate change and environmental pollutants has increased the focus of policymakers and think tanks' focus on formulating environmental regulations. Environmental regulations may reduce emissions directly and indirectly, as postulated by the famous Porter Hypothesis. It shows that environmental regulation may enhance pollution-reducing innovation by reducing agency costs while at the same time increasing firms' private benefit.

The transaction behavior of cryptocurrency and electricity consumption.

Rapidly increasing cryptocurrency prices have encouraged cryptocurrency miners to participate in cryptocurrency production, increasing network hashrates and electricity consumption. Growth in network hashrates has further crowded out small cryptocurrency investors owing to the heightened costs of mining hardware and electricity. These changes prompt cryptocurrency miners to become new investors, leading to cryptocurrency price increases.

ESG performance, capital financing decisions, and audit quality: empirical evidence from Chinese state-owned enterprises.

We study the nexus between environmental, social, and governance (ESG) performance and corporate capital financing decisions. Further, we also analyze the effect of audit quality and type of ownership (state-owned enterprises (SOEs) vs non-state-owned enterprises (non-SOEs), local vs central SOEs in this relationship. By applying panel regression (fixed effects) on 6295 firm-year observations of Chinese A-listed enterprises data for 2010-2019, we conclude that firms' ESG information is crucial to their financing decisions.

Clan loyalty and COVID-19 diffusion: Evidence from China.

This paper addresses the substantial role of clan loyalty in promoting COVID-19 diffusion in China. Using a city-date panel dataset of observations from 183 cities (prefecture-level and above) in the period of the special long holiday of Chinese New Year in 2020 (January 24-March 1), we find that regions with higher clan loyalty have more COVID-19 cases than regions with lower clan loyalty. A one standard deviation increase in clan loyalty is associated with an 8.

Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities.

Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are under pressure to reduce their carbon emissions, a consensus has not been reached on whether industrial robots can help. This study investigates how industrial robots affect carbon emissions by categorizing industry data from the International Federation of Robotics (IFR, 2010-2018) into city-level variables.

How does trade policy uncertainty affect China's economy and energy?

Facing increasing trade policy uncertainty, deeply understanding the impacts of trade policy shocks on the economy and energy is of vital realistic importance for China to respond to these shocks, strengthen economic resilience, and promote high-quality development. This study develops an integrating input-output model with economy and energy, and evaluates the extreme effects of trade policy uncertainty on the macro-economy, industry development, and energy consumption in China, based on bottom-line thinking. The results are shown as follows.

Assessing green financing with emission reduction and green economic recovery in emerging economies.

The aim of the study is to assess the role of green financing on carbon emission reduction and green economic recovery in emerging economies context. The BCC DEA technique of data envelopment analysis (DEA) is used to examine the nexus among variables by applying small input-output estimation parameters. Researchers found that green financing strategies like government subsidies and tax refunds for green financing are effective in cutting carbon emissions in developing nations.