我国证券纠纷调解机制的完善和金融申诉专员制度合理要素的借鉴

我国新修订的《证券法》于2020年3月1日正式施行。作为资本市场根本法规,《证券法》新增第六章"投资者保护"可谓亮点之一,其中第94条规定"强制调解制度"在诉讼和仲裁之外为投资者提供了新的维权路径,加强对投资者的事后保护。但目前我国证券纠纷调解机制仍有诸多问题,例如法律条文碎片化、调解协议刚性不足、调解衔接机制不完善、调解机构体系混乱、监督机制不力等,这些弊病从根本上严重影响证券纠纷调解机制的制度设计和程序运行。本文拟通过分析英国金融申诉专员制度的成熟经验,为我国证券纠纷调解机制的完善和发展提出优化路径。     

困境与出路:纳税人权利救济体系的完善

当前,我国税收征管实践中税务争议数量增多且日益复杂化,纳税人权利救济成为保障税务部门公正执法的重要路径。然而,我国纳税人权利救济体系仍存在诸多问题,导致纳税人行政复议权和行政诉讼权保障不充分。基于此,本文从三个视角进行了分析:一是提出"清税前置"和"复议前置"规则下纳税人权利救济体系的维权阻碍及其成本,并基于"当事人主义"提出改革路径;二是基于审查范围和审查力度提出纳税人权利救济体系低效及其修正的逻辑机制;三是从审理机构设置与案件事实查明的难易程度等视角分析纳税人权利救济裁判结果的质量与公信力。     

财政教育支出的农村减贫效应研究——基于网络空间结构的分析

运用修正的引力模型测算出我国财政教育支出的空间关联关系,以及财政教育支出对农村减贫的空间关联影响效应。实证结果表明：我国财政教育支出在空间关联上呈现出复杂、多线程的网络结构;区域间财政教育支出差异和人力资本差异与农村贫困联动矩阵呈现显著负相关,区域间技术发展水平差异和经济发展水平差异与农村贫困联动矩阵呈现显著正相关。加强我国农村贫困的治理,需要考虑财政教育支出的空间关联作用,实施定向的、梯度推进的区域协同策略。     

Does urbanization reduce rural poverty? Evidence from Vietnam

This paper uses data from household surveys to contribute to the urbanization-poverty nexus literature by assessing the effect of urbanization on income, expenditure, and poverty in rural households in Vietnam. We find that the urbanization process stimulates the transition from farm to non-farm activities in rural areas. More specifically, urbanization tends to reduce farm income and increase wages and non-farm income in rural households. This suggests that total income and consumption expenditure of rural households are more likely to increase with urbanization. Finally, we find also that urbanization helps decrease the expenditure poverty rate of rural households, albeit by a small magnitude.     

Neighbourhood Effects as Indirect Effects: Evidence from a Dutch Case Study on the Significance of Neighbourhood for Employment Trajectories

One of the key challenges in the study of neighbourhood effects on work is to understand the pathways through which disadvantaged neighbourhoods impact the employment opportunities of residents. Endogenous explanations for neighbourhood effects focus on social life in these neighbourhoods, identifying mechanisms of social isolation, deviant work ethics and neighbourhood disorder. This article studies these mechanisms in a low‐income neighbourhood in the Netherlands. The case study shows that unfavourable socioeconomic outcomes can be indirect and unintended consequences of actions and choices in everyday life that are not directly concerned with work. Nevertheless, these individual actions and choices reflect local social practices that are influenced by the marginalized context in which residents lead their lives.     

The Gendered Nature of Poverty in the EU: Individualized versus Collective Poverty Measures

Due to the adoption of the household as a unit of analysis, researchers have failed to identify accurate measures of women's income poverty. This study proposes an individualized measure of European poverty to highlight gender differences in the economic crisis. Employing data from the European Union Statistics on Income and Living Conditions (EU-SILC) for the period 2007–12, it compares the household-based at-risk-of-poverty rate (ARPR) and the individualized financial dependency rate (FDR). The study shows that the gender gap in poverty in Europe is considerably higher when computed through FDR. Indeed, since the ARPR constitutes a proxy of the household's average conditions, it levels down gender inequalities within the household and also variations in individuals’ incomes over time. Only more detailed data collection on intrahousehold resource sharing will possibly allow the development of more precise and realistic indicators of women's and men's risks of poverty and financial dependency.     

Benefits of Cross‐sector Partnerships in Markets at the Base of the Pyramid

In this paper we analyze whether cross‐sector partnerships enable companies to respond to the specific conditions at the base of the pyramid (BOP). We develop three hypotheses in which we argue how cross‐sector partnerships support companies to face unfamiliar conditions in these markets. We test the developed hypotheses against the data of 103 companies operating in BOP‐markets. The results show that companies rely on organizations from the civil society sector in order to meet customer needs. Partners from the business sector are supportive when responding to restrictive market conditions. Institutional partnerships should be considered when companies aim at responding to the regulatory environment. We outline theoretical and managerial implications and reflect some limitations of the study. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Integrating uncertain user-generated demand data when locating facilities for disaster response commodity distribution

This paper presents a new facility location problem variant with application in disaster relief. The problem is unique in that both verified data and unverified user-generated data are available for consideration during decision making. The problem is motivated by the recent need of integrating unverified social data (e.g., Twitter posts) with data from more traditional sources, such as on-the-ground assessments and aerial flyovers, to make optimal decisions during disaster relief. Integrating social data can enable identifying larger numbers of needs in shorter amounts of time, but because the information is unverified, some of it may be inaccurate. This paper seeks to provide a “proof of concept” illustrating how the unverified social data may be exploited. To do so, a framework for incorporating uncertain user-generated data when locating Points of Distribution (PODs) for disaster relief is presented. Then, three decision strategies that differ in how the uncertain data is considered are defined. Finally, the framework and decision strategies are demonstrated via a small computational study to illustrate the benefits user-generated data may afford across a variety of disaster scenarios.     

经济增长与不平等对我国农村脱贫时间的影响

选择FGT贫困指数和脱贫时间指数，利用世界银行公布的我国农村贫困线和收入分配分组数据。对比分析了1981年-2005年以来的农村贫困变化趋势。研究发现，农村贫困状况虽然总体上呈缓解趋势，但在脱贫时间指数的构成中，由于不平等所延长的脱贫时间，无论从绝对量还是相对量上都明显提高，这说明收入分配的恶化已经成为反贫困的严重障碍，这种变化趋势值得高度关注。     

Interpolating the Lorenz Curve: Methods to Preserve Shape and Remain Consistent with the Concentration Curves for Components

C¹‐class interpolation methods that preserve monotonicity and convexity and are thus suitable for the estimation of the Lorenz curve from grouped data are not widely known. Instead, parametric models are usually applied for such estimation. Parametric models, however, have difficulty in accurately approximating every part of income/expenditure distributions. This paper proposes two types of C¹‐class shape‐preserving interpolation methods. One is a piecewise rational polynomial interpolation (proposed independently by Stineman and Delbourgo) that enables consistent interpolation of the concentration curves for income/expenditure components, attaining approximately the same accuracy as that of the existing methods when applied to decile‐grouped data or to more detailed aggregation. Another is a Hybrid interpolation that employs pieces of curves derived from parametric models on end intervals. Empirical comparisons show that the Hybrid interpolation (with the assistance of parametric models for class‐boundary estimation) outperforms the existing methods even when applied to quintile‐grouped data without class boundaries.