数据确权的理论逻辑与路径设计

我国"数据战略"有效实施的前提之一即是数据确权与交易,数据财产权的产生,与人的劳动物化其中有着因果关系.本文试图以马克思劳动价值论证明数据这一新生产要素的产权来源及其归属与物化劳动的相关性,并从社会契约集合的公意论述了大多数社会成员对财产权利安排的共同承认,然后讨论了以国家赋权的方式来塑形和定格数据财产权法律创制.最后提出:适用法律选择、数据权属分层、应用机制创新,构成了数据确权路径设计的主要内容.     

When Moral Tension Begets Cognitive Dissonance: An Investigation of Responses to Unethical Pro-Organizational Behavior and the Contingent Effect of Construal Level

Journal of Business Ethics - Research on unethical pro-organizational behavior (UPB) has predominantly focused on its antecedents, while overlooking how engaging in such behavior might affect...     

粤港澳大湾区创新生态系统内部耦合时空演化及空间收敛分析

在构建以国内大循环为主体、国内国际双循环相互促进的新发展格局下，高效协同的区域创新体系有助于将粤港澳大湾区三地建设成为具有全球影响力的科技创新中心。通过构建创新生态系统综合评价指标体系，采用耦合协调模型和空间计量模型，实证检验大湾区10个城市2007-2019年创新生态系统内部耦合协调水平、时空跃迁特征以及收敛性。研究发现，大湾区整体及各城市耦合协调度呈上升趋势，基本实现从失调衰退区到协调过渡区的转化，具体可划分为4个等级层次；大湾区创新生态系统协调耦合度存在显著的绝对β与条件β收敛趋势，即最终收敛于同一稳态水平，且城市间差距逐渐缩小。其中，经济发展水平、对外交流水平、人力资本水平对创新生态系统协调耦合度起显著正向作用。     

生态旅游视域下的岷江上游贫困山区生态安全评价

[目的]构建科学合理的评价指标体系,准确评价生态旅游影响下的区域生态安全状况,是推动少数民族山区实现旅游资源环境与区域社会、经济协同发展的前提和基础。[方法]以岷江上游贫困山区为例,应用灰色系统理论与熵值赋权法相结合,基于压力—状态—响应模型,构建生态旅游视域下的区域生态安全评估指标体系,并将评估指数与经济收入状况及贫困人口分布进行空间耦合。[结果](1)区域当前处于较安全水平,生态旅游开发适度;(2)综合评估指数与城镇居民可支配收入增长率、旅游收入对国民经济增长的贡献率呈正相关,且城镇居民在旅游开发中受益与机会较农牧民多;(3)综合评估指数与贫困人口比重呈负相关,与农牧民纯收入增长率没有必然联系。[结论]区域脱贫能够改善当地的生态安全状况,适度生态旅游开发是区域脱贫的有效手段,但应注重扶持农牧民在旅游业中的参与度,增加其旅游收益。     

Evolution of FDI flows in the global network: 2003–2012

As one type of international capital flow, FDI maintains its important role in globalization. This article attempts to investigate the evolution of the FDI flows from a network perspective. Based on the bilateral FDI flows data between countries from 2003 to 2012, we construct the global FDI flows network for each year and thus quantify network measures (such as flow volumes and connections); further by analysing the tendency and changes of these network measures during the past 10 years, we delineate the features and dynamics of the FDI flows in the global network. We have the following findings: (a) the flows network changes during and after the crisis, i.e. flow volume fallen down and recovered, and flow connection restructured with more diversity; (b) the global FDI flows network is getting more loosely connected; (c) individual countries vary in different patterns.     

Agency costs and tax planning when the government is a major Shareholder

In state owned enterprises (SOEs), taxes are a dividend to the controlling shareholder, the state, but a cost to other shareholders. We examine publicly traded firms in China and find significantly lower tax avoidance by SOEs relative to non-SOEs. The differences are pronounced for locally versus centrally-owned SOEs and during the year of SOE term performance evaluations. We link our results to managerial incentives through promotion tests, finding that higher SOE tax rates are associated with higher promotion frequencies of SOE managers. Our results suggest managerial incentives and tax reporting are conditional on the ownership structure of the firm.     

International trade of GMO-related agricultural products

This paper examines the international trade of a variety of genetically modified (GM) food products over a 27-year period (1984–2011) with data from the United Nations using the tools of social network analysis. The results indicate that each of the different crops have a distinctive pattern of trade that has changed over time due to a number of different factors. Also, trade in agricultural commodities became more diversified over time, dominated less by the United States and other nations central in the trade networks and trade in the individual GM crops was stable over time. Countries maintained their trading partners for specific crops, despite the adoption of the genetically modified varieties. The economic implications of these results are discussed for specific countries.     

A hybrid information approach to predict corporate credit risk

This study proposes a hybrid information approach to predict corporate credit risk. In contrast to the previous literature that debates which credit risk model is the best, we pool information from a diverse set of structural and reduced‐form models to produce a model combination based on credit risk prediction. Compared with each single model, the pooled strategies yield consistently lower average risk prediction errors over time. We also find that while the reduced‐form models contribute more in the pooled strategies for speculative‐grade names and longer maturities, the structural models have higher weights for shorter maturities and investment grade names.     

External regulation,independent director attendance,and governance effects

In this study we examine how the regulation of director attendance disciplines directors’ behavior, and consider the governance effect of such regulations. This examination exploits the differences between the requirements for director attendance at board meetings enacted by the Shanghai Stock Exchange (SHSE) and by the Shenzhen Stock Exchange (SZSE). Using a difference-in-differences model with a sample of A-share listed firms from 2006 to 2017, we document that the rate of meeting attendance by independent directors who serve with firms listed on the SHSE (SHIDs) has increased significantly since the exchange’s enforcement of the regulation on attendance. This positive effect has been more pronounced for independent directors with legal backgrounds. Further investigations find that the regulation of attendance plays a corporate governance role through the mechanism of enhanced monitoring. The attendance regulation increases the SHIDs likelihood of casting dissenting votes, and it leads to both better accounting performance and higher firm value. In addition, SHIDs are more likely to depart from firms listed on the SHSE, and to transfer their directorships to firms listed on the SZSE, which has a less constraining attendance requirement. Our findings provide evidence of how external regulation shapes director attendance and voting behavior in emerging markets.     

Exploring sentiment-driven trading behaviour of different types of investors in the London office market

We investigates the sentiment-driven trading behaviour of the four types of investors in the London office market, i.e. UK institutional investors, UK private investors, UK listed real estate companies/Real Estate Investment Trust (REIT)s and overseas investors. In addition, we examine the relationship between investor sentiment and property performance. Related indices are calculated to examine the existence of herding behaviour of different investors. We find that UK private investors follow a contrarian strategy to UK institutional investors and listed real estate companies/REITs and enter/exit the market at different points of time. UK institutional investors tend to follow the sentiment of UK listed real estate companies/REITs and overseas investors with lags. There is no evidence that overseas investors rely upon the sentiment of UK specialised property investors in their decision-making. We find the sentiment of different investors is influenced differently by market fundamentals. Yield and rental growth rate have significant impact on trading activity of overseas investors, but not on other investors. The stock market return and securitised real estate return have significant impact on the trading activity of UK institutional investor and overseas investor, but have no significant influence on the trading behaviour of UK private investor and listed real estate company/REIT.