基于神经网络的建筑业碳排放强度预测——以京津冀为例

通过统计分析得出影响建筑业碳排放强度的13个影响因素,基于收集的京津冀相关数据,运用逐步回归分析找出其中6个关键因素.借鉴五折交叉验证解决数据稀缺问题,采用神经网络对京津冀建筑业碳排放强度进行预测.利用敏感性分析简化模型,筛选出4个核心因素.结果表明,此模型预测精度高达99％,同时根据挖掘出的核心因素和关键因素,提出建筑业节能减排的建议.     

Bank Income Diversification,Asset Correlation and Systemic Risk

This paper explores whether the asset correlations among the non-interest activities of banks are the key causes for enhancing the bank diversification-systemic risk nexus. Our empirical evidence indicates that banks' income diversification significantly raises systemic risk. After removing those banks with high asset correlations, the effect of individual banks' diversification on banking systemic risk turns insignificant or even inverse. The results show that high asset correlations among banks could introduce bank failures, thereby leading to higher systemic risk in the financial sector.     

甜菊糖苷的功能特性及其在饮料工业中的应用

甜菊糖苷作为天然的高甜度、低热量甜味剂,已被广泛应用于食品、饮料中。本文阐述了甜菊糖苷的化学结构、理化功能特性,综述了甜菊糖苷的研究现状以及在饮料工业中的应用,指出其发展前景广阔,为甜菊糖苷的深入研究提供参考。     

后疫情下休闲体育产业高质量发展的推进策略

新冠疫情以来,人们的健康意识觉醒,体育产业越来越受重视,本文通过对疫情期间体育产业受到的影响进行分析,从体育消费、体育产品中小企业、体育赛事几个方面阐述了疫情以来体育产业受到的阻碍。凡事都有两面性,疫情也为体育产业带来了新的机遇,"线上+线下"融合、新兴产业的崛起、人们健康意识的加强都因为疫情带来了新的发展动力。在后疫情时代,政府应该推出新的政策与措施鼓励体育产业发展,市场则应该抓住机遇实现体育产业的供给侧改革,通过与新兴产业、互联网等的结合,推动体育产业的转型升级。     

An exploratory study on factors contributing to job dissatisfaction of retail employees in India

The study aimed to explore factors contributing to job dissatisfaction among frontend retail employees in India. It broadly contributes to the problem of talent retention and employee turnover which is one of the biggest challenges of the Indian retail industry. The study adopted mixed-method approach to inductively identify the contextual factors leading to job dissatisfaction. Qualitative data were analyzed using grounded theory approach followed by a survey based quantitative study, using exploratory factor analysis, confirmatory factor analysis and structural equation modeling to validate the qualitative findings. Qualitative study revealed seven factors-customer aggression, abusive supervision, perceived job image, perceived unethical climate, lack of autonomy, work exhaustion and inter-role conflicts contributing to job dissatisfaction. Findings of quantitative study showed all factors except lack of autonomy were significantly related to job dissatisfaction. Theoretical contributions, managerial implication, limitations, and scope for future work are discussed.     

Digitalisation,automation and upgrading in global value chains – factory economy actors versus lead companies

This article investigates the differences in the application and impact of digital technologies between manufacturing subsidiaries and lead companies, the principal orchestrators of global automotive value chains. Utilising a dataset of 10 in-depth interviews with automotive industry actors, we analyse headquarters–subsidiary differences in the patterns of digitalisation-driven upgrading. A theoretical framework is offered that explains why the significant upgrading achievements of manufacturing subsidiaries deploying industry 4.0 technologies will not reduce the gap between lead companies and manufacturing subsidiaries in terms of value generation. We show that the concept of ‘industry 4.0’ is much narrower than that of ‘digitalisation’ and transition to smart factories is only part of the digital transformation story. Industry 4.0 technologies contribute to the upgrading of operations, and enable subsidiaries to take on production-related knowledge-intensive assignments (functional upgrading). Conversely, digitalisation serves lead companies’ strategic differentiation efforts, and facilitates achieving competitive advantage: the latter are crucial for value capture.     

中国集体林产权制度改革回顾与展望

采用历史产权制度研究方法,利用详实的历史数据与信息,系统地分析改革开放以来中国集体林产权制度改革每个重要时期的改革内容与进程以及集体林地林木流转制度演化历程,发现改革开放四十年中国集体林所有权和家庭经营的基因没有变,变的是集体林地承包经营权的实现形式;指出集体林产权制度变迁道路中的困惑;提出未来集体林产权制度的选择路径。     

经济新常态下煤炭企业发展战略研究

着眼于当前我国煤炭企业的新环境,我们要转变视角,致力于探索推动我国煤炭行业发展的新途径和新方法,为了更好地保护矿工的合法权益,保障煤炭行业的可持续发展,煤炭企业需要引进一些创新性技术和先进管理理念。论文主要基于关心矿工生命安全和煤炭企业安全发展的角度,对目前我国煤炭企业的发展提出一些思考和策略。     

Quantifying the impact of the COVID-19 pandemic on US airline stock prices

This paper uses data at the trading day frequency and the method of local projections to quantify the dynamic responses of U.S. airline stock prices to a COVID-19 shock. We show that airline stock prices decline immediately by 0.1 percentage point in response to a 1% COVID-19 shock. In addition, the effect of the shock persists beyond the day on which it occurs, with most airline stock prices falling by as much as 0.6 percentage points after fifteen days. This negative response of airline stock prices to a COVID-19 shock is not explained by a COVID-19-induced increase in airlines’ variable costs, but rather by a COVID-19-induced decrease in air travel, which, in turn decreases revenues, profitability, and stock prices of U.S. airlines.