开放政府与修改《政府信息公开条例》的内容定位

修改《政府信息公开条例》要处理好《政府信息公开条例》与其他行政公开立法的分工,重大行政决策过程公开、行政执法公开等为行政行为中的公开机制,可在行政程序立法中予以规定。修法应当回归《政府信息公开条例》作为权利法的法律属性,实现知情权法定,确立公开原则,扩展公开范围,取消限制公民知情权实现的相关机制。修法还应回应互联网时代对开放政府数据提出的立法需求,完善政府数据开放的内部与外部机制。     

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.     

Digital forensics as a service: Game on

The big data era has a high impact on forensic data analysis. Work is done in speeding up the processing of large amounts of data and enriching this processing with new techniques. Doing forensics calls for specific design considerations, since the processed data is incredibly sensitive. In this paper we explore the impact of forensic drivers and major design principles like security, privacy and transparency on the design and implementation of a centralized digital forensics service.     

APP主体的立法规制

A PP相关主体规范与否直接关乎数据信息安全,关涉公民合法权益和社会公益.基于个人信息保护的不断发展,APP信息泄露问题逐渐显露出来.本文认为,应结合现有的个人信息保护立法,通过完善A PP实名制度,构建A PP相关主体备案制度,实施数据信息市场主体准入制度和第三方参与数据收集制度,以加强对个人数据信息的保护.     

县域金融发展与产业集聚区经济增长——以浙江为例

本文以浙江为例,在经济增长理论的基础上,建立了县域金融发展与产业集聚区经济增长之间相互作用的内生模型,基于浙江省22县（市）的县级数据,运用面板数据模型对县域金融发展与产业集聚区经济增长的互动关系进行了实证检验,比较了各产业集聚区经济增长的影响因素。研究发现：浙江县域金融发展规模、固定资产投资、实际利用外资与产业集聚区经济增长存在高度正相关关系;金融发展效率对产业集聚区经济增长的检验效果不显著;实际利率对产业集聚区经济增长的影响不显著,提出在执行利率政策时,不能采用金融发展理论中提高利率、解除金融抑制的政策手段。