国际服务贸易之反倾销法律制度初探

反倾销法律制度是WTO所允许的国际货物贸易的有效保障措施。在贸易自由化浪潮下,国际服务贸易遭到不公平竞争的损害和威胁,并呈愈演愈烈之势。因此,在国际服务贸易保障措施缺位的情况下,探讨货物贸易的反倾销制度与服务贸易接合的可行性与必要性,并以GATS的相关规定为依据尝试对服务贸易的反倾销制度进行实体构建,具有重大的理论和现实意义。     

Firm entries and exits in Estonian urban municipalities: urban hinterlands and rural peripheries, 2005–2012

This paper studies firm entries and exits in Estonian urban areas, urban hinterlands, and rural peripheries following EU accession, and it analyzes the effects of changes in population density, employee income level, unemployment, and economic climate on firm entries and exits. It concludes that the firm entry rate exceeded the exit rate in all of the years between 2005 and 2012. The urban hinterland is characterized by the highest level of both entries and exits. The fixed-effect regression models show that income and recession, which are the most significant factors to impact on local entrepreneurship, have a similar effect on different municipality types.     

A model for adoption of mobile banking services using classification and regression trees

The analysis and improvements of bank performance is a challenging issue for bank managers. Among various banking services, mobile banking is one of the most risky fields that is prone to customer resistance. Mobile banking is a form of banking transaction carried out via a mobile phone. Mobile banking allows bank customers to check their account balances and perform credit card transaction, as well as provide information on the latest transaction made by customers. This paper summarizes experiences and results of productively using knowledge discovery and data mining techniques in a large detail bank data. Data mining is the process of extracting patterns from data. We review prior literature on mobile payments, analyze the various factors that impact mobile payment services markets, and suggest directions for future research in this risk management field. Our research work demonstrates the effectiveness and efficiency of data mining in analysis of retailing bank performance. We use classification and regression tree learning algorithm for proposing a customer adoption model of mobile banking according to some personal characteristics of customers.     

The Danish legislators database

Elections determine the composition of legislatures, but the study of legislative representation has long been hampered by limited individual-level data on legislators. Recent innovations have vastly increased opportunities for studying legislators, but often have limited historical coverage. We introduce the Danish Legislators Database (DLD), a database of members of Denmark’s parliament, Folketinget, for every electoral term since its inception in 1849. Relative to most existing databases, the DLD is rare in covering the entire history of a parliamentary body going back more than 170 years. The DLD thus enables analyses of parliamentary representation with full temporal coverage. We describe the development and content of the DLD and present a set of analyses illustrating the potential uses of the database in the study of representation.     

An empirical investigation of determinants of corporate social performance using multi-dimensional panel data analysis

An assessment of the determinants of corporate social performance (CSP) in emerging economies is still too fractured. This article contributes to general management literature by developing an empirical model based on the existing theoretical models rooted in neo-institutional theory (legitimacy approach), stakeholders management theory, agency theory, the resource-based view of the firm, slack resources argument, and managerial control theory. A robust, multidimensional, unweighted disclosure index was used to measure CSP. This article provides a methodologically and empirically more rigorous assessment of determinants of CSP compared to previous studies by performing panel data regression analysis on 307 firms for 10 years. The results reveal that the presence of a legal framework, board attributes (board size, board diversity, board interlocking), women on board, ownership pattern, financial performance, firm attributes (size, age, leverage), and industry characteristics affect CSP significantly. These findings provide very important clues to design pragmatic strategies to improve CSP.     

Beyond the Z-score: A novel measure of bank stability for effective policymaking

This article looks beyond Z-score and proposes a novel methodological framework to build an all-encompassing indicator of bank stability for individual banks using the optimisation-based ‘benefit-of-the-doubt (BoD)’ approach. Unlike other available approaches, this approach is totally data-driven and generates endogenous weights to aggregate sub-indicators of bank stability and dimensions. Further, the final outcomes are not limited to a scalar measure of bank stability. The unique optimal weights offer valuable policy-relevant insights and highlight the most precarious areas of stability, which demand the immediate attention of the bank's management and the industry regulators for both micro-and macro-level policymaking. Using the data of Indian public sector banks operating in the year 2018, the study illustrates the proposed framework to obtain a holistic indicator of bank stability, defined on 14 ratio sub-indicators and 5 broad dimensions (soundness, asset quality, profitability, management efficiency, and liquidity) of bank stability.     

Chinese warfare and politics in the ancient East Asian international system,CA. 2700 B.C. to 722 B.C.

Ancient East Asia is the second oldest “protobellic area” and pristine state system of international relations within the global international system, after West Asia (ancient Near East). In a previous study Cioffi‐Revilla and Lai (1995) reported the first findings on the origins and evolution of war and politics in ancient China (Legendary, Xia [Hsia], Shang, and Western Zhou [Chou] periods), ca. 2700 B.C to 722 B.C In this paper we make public an expanded data set (N = 104 cases, 12 variables; version 2.0), explaining our sources, measurements, and data quality control procedures. The new data set will permit investigators to test hypotheses about warfare distributions, ethnic and protracted conflicts, time series, periodicity, system dynamics, and structural relationships (e.g., war‐polarity theories). This new long‐range data set should also promote a new stage in comparative analyses of the universal and particular properties of warfare and international systems, both cross‐polity and longitudinally.     

Trends in the proportion of married women of reproductive age in Spain, 1887–1991

Using the Princeton nuptiality index I_m, we analyzed historical developments in the proportion of married women of reproductive age in Spain. We show the internal diversity in nuptiality patterns and offer an explanatory statistical model based on panel data analysis to identify the main variables influencing these changes over more than a century (1887–1991). We found that Spain has been the developed country with the greatest contrasts in its provincial nuptiality patterns (measured by I_m), although this diversity has lessened over the course of time. We also found that some socioeconomic variables (the gross domestic product per capita and the percentage of population living in cities) do not have a linear relationship with female nuptiality but rather have a U shape or an inverted U shape. This may partly account for some of the controversy that has raged on this topic over the past few decades on an international level.     

析数据电文的证据效力

本文阐述了数据电文的证据效力问题 ,分析了大陆法系、英美法系对上述问题的观点和实践 ,说明数据电文作为证据是可采纳的 ,提出应建立和完善我国的相关立法 ,使法律为电子商务的发展提供服务。     

The future of crime data

Criminology lacks sufficient data for many types of crime that are of great concern to society. This lack of data poses significant problems for determining whether resources are adequate for responding to these crimes or whether programmatic, legislative, or target-hardening efforts to prevent or reduce their occurrence are effective. Inadequate data about crime also produces a selective and incomplete narrative about crime that makes it easier for political and vested interests to exploit public concerns about crime for their own ends. In this address, I discuss what is needed to resolve these gaps and the ways in which criminologists can support a significant expansion of the crime data infrastructure. Such work is necessary to help ensure the future relevance of criminological research.