The origins of agricultural inheritance traditions

We investigate the origins of agricultural inheritance traditions, equal partition and primogeniture. Our case study is the German state of Baden-Württemberg. Our empirical findings suggest that rural inheritance traditions were primarily determined by geography. First, fertile soils allowed splitting of the land among siblings for longer and with fewer conflicts, and hence we find more equal partition in areas with higher soil quality, especially at elevation levels conducive to intensive agriculture. Second, geography determined the settlement pattern. Areas that were settled before the Middle Ages, when land was abundant and free, are more likely to apply equal partition today. In areas that were largely uninhabited until the Middle Ages, primogeniture is the norm. We argue that these areas were deforested with the obligation of primogeniture, imposed by feudal lords.     

2019年土地科学研究重点进展评述及2020年展望——土地经济分报告

研究目的：梳理并比较2019年国内外土地经济领域研究进展和研究重点，展望未来研究方向。研究方法：文献分析法。研究结果：2019年，国内研究以实践探索为主，集中于土地供给对房价的影响、土地流转意愿、产权与农户投资、征地的福利效应和宅基地制度改革；国外研究则在理论和实践两个方面有所突破，关注影响城市地价的因素、发展中国家土地市场发展、产权与女性福利、土地改革的发展方向等。研究结论：2019年，土地经济在基础理论和实践探索方面取得了新进展，仍需加强对国内外相关研究和土地经济发展规律的总结；2020年将重点关注土地经济领域的基础理论研究、土地经营权流转及权益实现、承包地和宅基地“三权分置”、共享理念下的土地收益分配机制、城乡建设用地市场建设、低效用地再开发与利益协调机制、土地产权制度改革和确权登记等问题。     

信息化环境下企业内部审计模式思考

随着信息技术的高速发展,大数据技术呈现出爆发增长并逐渐渗入各行各业。基于信息化的大背景,大数据技术已被越来越多的企事业单位广泛运用,为企业发展带来更多可能性。大数据审计作为一种新型内部审计手段,具备独特的优势,将其运用到企业内部审计中可以较大程度提高内部审计的效率。但是它也为内部审计带来了一定不确定性,进而增加其审计风险。论文就大数据审计在企业内部审计中的应用进行了相关分析,并提出了相应的应对措施。     

军工研究所薪酬体系优化研究

军工研究所在国家经济和国防建设中占有重要地位,对军工研究所的薪酬体系进行完善至关重要。通过分析发现,该薪酬体系存在薪酬结构简单、低激励、薪酬体系考核和监督脱节等问题。论文在现有文献和军工研究所"三元"薪酬结构的基础上,针对具体问题建立"五元"薪酬体系方案。"五元"薪酬体系方案分别从明确优化方向、宽带薪酬策略、确定优化的目标和方法、制定方案以及考核与保障策略进行设计,为改革提供科学、合理、有效的解决建议。     

Multilayer financial networks and systemic importance: Evidence from China

In this paper, we develop a multilayer network structure and reveal the relationship between network structure and systemic risk. Unlike many previous studies, our model considers both liability and cross-holding of shares between financial institutions simultaneously. We propose a new systemic risk measurement by exploring the dynamic mechanism of financial contagion in the multilayer network. We display the network structure of Chinese financial institutions, including connectivity and diversity, and identify the systemic importance of them. We demonstrate that the multilayer network plays a non-linear role in financial risk spreading. Using the panel regression model and several experiment evidences, we show that the systemic risk can be explained more effectively by the linkage diversity more than the connectivity at both the institutional level and the system level. Our results highlight the importance of considering contagion mechanisms that go beyond a simple single-layer network structure.     

军事遗产旅游资源分类与价值评估

军事遗产是重要的历史资源,尤其在历史教育、知识输出、国情教育等方面具有重要价值,因而可被视为独特的旅游资源。本文在国内外军事遗产研究综述的基础上,提出军事遗产的分类方法,共计2个大类、7个亚类、28个子类。在梳理国内外研究的基础上结合专家评价,提出军事遗产的旅游价值评估指标体系,包含要素价值、存续特征2个一级指标及游憩价值、历史价值、审美价值、社会价值、独特程度、规模程度、知名度、完整性、适游性、承载力和安全性11个二级指标,并进一步划分为可观赏性等23个三级指标。采用基于专家打分的层次分析法对指标权重赋值,形成军事遗产旅游价值评价的方法体系,并构建军事遗产旅游价值评价对比关系图,以指导资源群中的单体开发梯次。     

COVID-19, stock market and sectoral contagion in US: a time-frequency analysis

We assess the conditional relationship in the time-frequency domain between the return on S&P 500 and confirmed cases and deaths by COVID-19 in Hubei, China, countries with record deaths and the world, for the period from January 29 to June 30, 2020. Methodologically, we follow Aguiar-Conraria et al. (2018), by using partial coherencies, phase-difference diagrams, and gains. We also perform a parametric test for Granger-causality in quantiles developed by Troster (2018). We find that short-term cycles of deaths in Italy in the first days of March, and soon afterwards, cycles of deaths in the world are able to lead out-of-phase US stock market. We find that low frequency cycles of the US market index in the first half of April are useful to anticipate in an anti-phasic way the cycles of deaths in the US. We also explore sectoral contagion, based on dissimilarities, Granger causality and partial coherencies between S&P sector indices. Our findings, such as the strategic role of the energy sector, which first reacted to the pandemic, or the evidence about predictability of the Telecom cycles, are useful to tell the history of the pass-through of this recent health crises across the sectors of the US economy.     

Bibliometric and Scientometric analysis on CSR practices in the banking sector

This paper provides a bibliometric and Scientometric analysis of the corporate social responsibility (CSR) in banking sector. Our study analyzes 551 articles from the Scopus database to find out the relationship between CSR and banking. A bibliometric method was used to visualize the results using R-studio and VOS viewer software. The Scientometric analysis was conducted to determine the findings and mappings of the research themes, directions of current and future research, impact, co-occurrence, co-citations and impact and collaboration trends. We explore how CSR literature has evolved over the years in the banking sector between 1993 and 2021. We find that publication in the CSR and banking domain has increased significantly during 2017 and 2021. Social aspects, board of directors, CSR, environment, competitions, Islamic banking, sustainability, disclosure, ethics, legitimacy theory, sustainable banking, loyalty, and brand equity are the popular research trends and collaboration trends identified. We also provide further scope of the study based on the extensive review of the past literature. Our findings may provide help to future researchers, bankers, and regulators in understanding the current trends and future research progression in the CSR and banking sector.     

The impact of research collaboration on academic performance: An empirical analysis for some European countries

The aim of this paper is to investigate the impact of internal and external research collaborations on the scientific performance of academic institutions. The data are derived from the international SCOPUS database. We consider both quantity (the number of publications) and quality indicators (the field-weighted citation impact and the share of publications in the 10% most-cited articles) to evaluate universities' performance in some European countries (Germany, France, Italy, the UK and Russia). To this end, we develop a non-overlapping generations model to evidence the theoretical idea of research externalities between academic institutions. Moreover, we implement an empirical model to determine the extent to which the impact of internal and external collaborations on universities' performance is sensitive to the geographical dimension of the data.     

When and why do countries break their national fiscal rules?

This paper identifies determinants of compliance with various types of national numerical fiscal rules. Based on 51 fiscal rules in force in EU member states from 1995 to 2015, the analysis identifies determinants among specific rule characteristics and their fiscal frameworks, as well as their political, (socio-)economic and supranational environments. While the average compliance across all rules and countries is around 50%, compliance with rules constraining stock (rather than flow) variables, set out in coalitional agreements, as well as rules covering larger parts of general government finances is significantly higher. Furthermore, independent monitoring and enforcement bodies (issuing real-time alerts) turn out to be significantly associated with a higher probability of compliance. Several theories of the deficit bias of governments due to government fragmentation, decentralization and political budget cycles are also significant with regards to compliance with fiscal rules. However, neither the economic environment or business cycle, nor forecast errors (except for an unexpectedly higher primary balance) on average seem to play a significant role.