社区参与旅游发展具体操作分析

社区参与旅游发展具体包括旅游发展决策和旅游发展利益分配两个阶段。社区参与旅游发展利益分配主要从经济利益分配、培训和教育、就业、商机这几个方面来阐述。     

政府补贴、机构股东与成本粘性

以2013—2017年沪深A股上市公司为样本,采用拓展的成本粘性模型,探究“八项规定”后政府补贴、机构股东对企业成本粘性的影响,以及机构股东的调节作用,研究发现：政府补贴增强了成本粘性,机构股东能抑制成本粘性,机构股东对政府补贴与成本粘性之间的关系起负向调节作用。进一步研究发现,政府补贴对成本粘性的影响与企业产权性质无关;机构股东对成本粘性的影响以及机构股东的调节作用仅在非国有企业中存在。不同地区,政府补贴、机构股东、成本粘性之间关系不同。政府补贴对成本粘性的影响仅在地方政府官员未发生变更年份时存在;机构股东对成本粘性的影响与地方政府官员变更无关,但机构股东的调节作用仅在地方政府官员未发生变更年份存在。     

基于GONE理论的LK公司舞弊动因分析与审计风险防范

继浑水发布做空报告后,LK公司于2020年4月自曝2019年年度审计期间发现相关业务数据巨额造假,引起社会广泛关注.企业战略,尤其是商业模式,已经成为管理层产生财务报表层次重大错报风险的重要诱因.文章以GONE理论作为工具来识别和预判财务舞弊的倾向和风险,解释了企业管理层进行财务舞弊的动因.做空机构基于企业战略层面的潜在风险,有针对性地采取手段并取得了有力证据.注册会计师行业应思考如何发挥职业判断在防范审计风险中的作用,尤其要克服认知偏差对保持职业怀疑的影响,同时应借鉴并改进审计程序,以有效降低审计风险.     

基于战略视角的财务状况质量分析——以SY重工为例

了解和掌握企业的整体状况及发展质量是利益相关者保护其权益的关键,也是市场经济健康发展的必然要求.财务数据一方面能够体现企业进行的经济业务活动,另一方面又能检验企业经济活动的执行情况.因此,有效分析企业财务状况质量对综合评价企业的质量具有重要意义.文章从战略视角出发,参考SY重工2019年财务报告数据,对其发展战略及管理质量进行了评价.     

川渝毗邻地区合作示范区协同发展研究 ———基于哈肯模型的实证分析

摘 要：本文将川渝毗邻地区合作共建区域发展功能平台统称为川渝毗邻地区合作示范区（以下简称“示范区”）,并以此为研究对象,通过泰尔L指数,测度示范区经济发展差异,随后运用哈肯模型、耦合协调和灰色关联度等方法进行协调度分析。研究发现,各示范区经济发展差异较小,经济发展趋同,加剧示范区之间的竞争,削弱协同合作,抑制比较优势的发挥和提升;成渝“双核”对示范区的辐射带动作用不明显,示范区总体与成渝“双核”的差距仍然较大;在示范区协同发展中,经济金融活动发挥着主导作用,经济环境与金融支持协调发展趋势向好,金融支持对示范区协同发展有显著的正向影响。基于此,建议大力发展新型金融业态,为优势产业发展营造良好的金融支持环境;开辟特色金融“试验区”,引入特色金融活水,有针对性地加强各示范区优势产业和特色产业的金融支持,进一步提升比较优势,强化示范区与成渝“双核”的经济联系,为成渝地区双城经济圈高质量发展提供重要支撑。     

The impact of opacity on bank valuation during the global financial crisis: A channel analysis

Prior literature suggests that opacity in the banking industry is mainly caused by a lack of informativeness in the assessment of the quality of bank assets. Examining a sample of bank holding companies in the United States, we find that there is a negative relationship between opacity and bank valuation during the 2007–2009 global financial crisis. We further attempt to identify two potential channels through which opacity negatively affects bank valuation during the financial crisis: a cash flow channel and an expected return channel. We show that one channel flows from bank profitability, measured by return on equity and return on assets, confirming a cash flow channel, whereas an expected return channel, proxied by the implied cost of capital, only works for small banks. Overall, this study sheds light on the relationship between in-transparency and bank value discount during a global recession.     

Challenges of using RPA in auditing: A socio-technical systems approach

The use of Robotic Process Automation (RPA) is rapidly growing in the professional services sector such as auditing. Despite the great benefits RPA can offer, RPA failure rates are still high. In this research, we draw on socio-technical systems theory to examine the challenges of using RPA in the various phases of auditing and how auditors address these challenges. By interviewing experienced partners and auditors in auditing firms and technology companies, we show that challenges arise when there is a lack of fit between the technical requirements of the RPA tool (technical subsystem) and the skills and knowledge of the auditors and clients (social subsystem). We discuss our findings and provide valuable practical implications and opportunities for future research.     

Monitoring recessions: A Bayesian sequential quickest detection method

Monitoring business cycles faces two potentially conflicting objectives: accuracy and timeliness. To strike a balance between these dual objectives, we propose a Bayesian sequential quickest detection method to identify turning points in real time with a sequential stopping time as a solution. Using four monthly indexes of real economic activity in the United States, we evaluated the method’s real-time ability to date the past five recessions. The proposed method identified similar turning-point dates as the National Bureau of Economic Research (NBER), with no false alarms, but on average, it dated peaks four months faster and troughs 10 months faster relative to the NBER announcement. The timeliness of our method is also notable compared to the dynamic factor Markov-switching model: the average lead time was about five months when dating peaks and two months when dating troughs.     

Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis

This study establishes time–frequency networks of sovereign and bank contagion in the eurozone over the period 2009–2021. By applying discrete wavelet transformation, daily CDS premia of sovereigns and systemically important banks are decomposed into multi-horizon components to specify directed and dependence-weighted networks. Dynamic analysis shows that the network connectivity and the strength of the dependencies are significantly lower after the introduction of the European Banking Union in 2014. While the strength effect is pronounced across all time horizons, the network connectivity only reduces in the short and medium run. This provides evidence that the new regulatory framework promotes financial stability but is more effective in the short and medium horizons. The consideration of the COVID-19 pandemic as a real-life stress test confirms these findings as the strength of the dependencies keeps at significantly lower levels.     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.